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Due to the co-combustion of hydrogen-rich atmosphere and coal in power plants has a great influence on NO X emission, it has been studied by more and more researchers. Therefore, the study of the effect of hydrogen-rich atmosphere on coal pyrolysis mechanism provides a theoretical basis for subsequent application in power plants. In this paper, reaction molecular dynamics simulation is used to investigate the pyrolysis mechanism of Henan anthracite coal within the temperature range of 300–3600 K. The consistency between the activation energy, TG curve, and gas release characteristics derived from the ReaxFF simulation and the experimental results provides evidence for the validity of this method in investigating the pyrolysis mechanism of coal. Furthermore, the pyrolysis behavior of Henan anthracite coal in N 2 , H 2 , and NH 3 atmospheres with varying temperatures are studied. The pyrolysis of Henan anthracite coal can be categorized into three distinct stages under varying atmospheric conditions, as revealed by the simulation findings. Compared with N 2 pyrolysis atmosphere, H 2 and NH 3 pyrolysis atmospheres can reduce the release of CO, reduce the activation energy, promote the degree of pyrolysis and accelerate the pyrolysis process. NH 3 atmosphere has more obvious influence on the coal pyrolysis process. Also, HCN (NO X precursor) generation reactions during pyrolysis are revealed in N 2 , H 2 and NH 3 atmosphere. H 2 and NH 3 pyrolysis atmospheres can increase the number of HCN generation reactions and change the distribution of HCN generation reactions. The analysis of HCN formation reaction shows that CN and H 2 CN are the main precursors of HCN. • Henan coal pyrolysis is studied via ReaxFF MD. • The macromolecular model of Henan coal has been verified. • In NH 3 atmosphere, the activation energy of Henan coal pyrolysis is reduced. • The HCN generation reaction in different atmosphere is proposed. [ABSTRACT FROM AUTHOR]

[Display omitted] • Environmental performances of plastic bag and alternatives are assessed in China. • Multi-regional scenarios are evaluated considering the uneven waste management. • Overall, HDPE plastic bags cause the lowest environmental impacts. • Using alternatives will induce the largest GWP changes in Henan and Hebei. • Introducing alternatives requires systematic thinking especially waste disposal. Single-use plastics (SUPs) have been the focus of plastic pollution control, and limiting their use while shifting to other alternatives have been widely promoted in various countries. This study tries to verify the life cycle environmental performances of single-use plastic bag and its alternatives under different scenarios in real world. China is chosen as case study, where provincial variability is prominent in waste disposal, and strictest plastics ban has issued lately in this worldwide biggest market. The study found that HDPE plastic bags have relatively lowest environmental footprints regarding to Acidification Potential, Global Warming Potential, Chemical Oxygen Demand, Eutrophication Potential, Fossil Fuel Depletion Potential and Water Use. Sticking to current waste treatment, large-scale promotion of degradable products will increase environmental impacts by 1.4–22.6 times nationwide. Xinjiang has highest impact of using plastic bag at household level, due to its long-distance transport and high landfill ratio. Henan and Hebei will trigger the most significant changes in Global Warming Potential of 4.6 and 4.4 times if single-use plastic bags are all replaced with other alternatives. Uncertainty and sensitivity test further prove the robustness of results, and extends geographical implications of the findings. These suggest that introduction of new alternatives requires systematic deployment with full life cycle thinking, and SUPs pollution control should be a holistic transformation. Reducing bag weight while ensuring carrying capacity, purchasing local products to shorten transportation distances and shifting towards cleaner energy sources are synergetic ways to reduce the environmental impact of single-use plastic products. [ABSTRACT FROM AUTHOR]

• The matrix representation of grey possibility function is provided. • The solution method of possibility function's turning points is given. • The "maximum criterion" decision paradox is solved. • A variable stage self-correcting grey clustering model is proposed. • The meteorological drought grade of 17 stations in china henan province is evaluated. The grey clustering model based on the possibility function is frequently used in system evaluation, but the setting of the possibility function is frequently subjective, which results in the weak credibility of the clustering results. In addition, the "maximum criterion" decision paradox of the model has fuzzy boundaries, making the clustering process impossible to program. Based on this, the possibility function is represented as a matrix in the paper, and the possibility function is calculated by an optimization model to guarantee the objectivity of the clustering results. A variable stage self-correcting grey clustering model is built by using the kernel weight transformation as the primary tool, "entropy subtraction" as the signal of the decision paradox, and "entropy non-subtraction" as the model's termination signal. The model's Matlab source code is provided to reduce the complexity of the model. The illustration and comparative analysis demonstrate the model's logic and efficacy. Using the model for the evaluation of the meteorological drought grade in Henan Province can offer a fresh perspective for meteorological departments to make choices and assessments. [ABSTRACT FROM AUTHOR]

• A novel joint optimal allocation model of regional water and land resources (JOAMRWLS). • A three-level unit division method of "basic units-computing units-hydrological response units". • Use of a two-layer nested algorithm involving successive approximation and nonlinear programming (SA-NLP). • The model improves the regional economy and water resource utilization efficiency. Water and land resources are indispensable prerequisites for the sustenance and advancement of human civilization. In recent decades, China has faced significant challenges in managing its water and land resources due to the intensifying competition resulting from rapid urbanization, industrialization, and population growth. The joint optimal allocation of water and land resources can effectively address these issues. However, there have been limited accomplishments in investigating the integrated water and land resources allocation system's interaction with social, economic, and environmental development. This paper develops a novel joint optimal allocation model of regional water and land resources (JOAMRWLS). The model integrates water and land resources for integrated allocation, taking into account the mutual feed relationship between them, and thereby achieving comprehensive utilization and coordination of water and land resources within the region. Then a two-layer nesting algorithm based on successive approximation and nonlinear programming (SA-NLP) is proposed to solve the model, obtaining the regional optimal land use pattern and optimal water allocation scheme. Subsequently, this paper uses Luoyang City in Henan Province, China, as a case study to verify the proposed JOAMRWLS. The results indicate that the water volume and area of each land use type tend to stabilize after the fifth iteration of the calculation with a consistent water volume of 18.65 × 108 m3. Compared with the conventional optimization model of water resources (COMWR), the JOAMRWLS encompasses five cities experiencing water scarcity, whereas the latter includes twelve such cities. Furthermore, the economic benefit of the JOAMRWLS is 2.65 × 1011 CNY, surpassing that of the former at 2.56 × 1011 CNY, highlighting its superiority. [ABSTRACT FROM AUTHOR]

To address the issues surrounding incomplete coverage of core dictionaries, limited training corpora, and low precision in Chinese geological text segmentation, a knowledge- and data-driven word segmentation method by combining combination probability and machine learning was proposed in this paper. We extracted mathematical feature information from terms in Chinese geological text to construct a Term Combination Probability Model (TCPM) for Chinese word combinations by integrating the combination features of geological terms and the Chinese writing styles under zero-sample conditions. The TCPM was used to extract geological terms with high combination characteristics as a user-defined dictionary, and then a geological corpus was constructed by using a general domain word segmentation method based on this dictionary. After a small amount of manual review and optimization, the geological corpus was trained with a BiLSTM-CRF model to segment Chinese geological text. The proposed method in this paper was tested using a regional geological survey report set in Henan Province, and the precision, recall, and F1-score of the method are 92.65%, 92.53%, and 92.59%, respectively. The experimental results demonstrated that this method, combined with the inherent knowledge features of geological text and the machine learning method, can assist in expanding the core dictionary for Chinese geological text segmentation based on zero-sample, and can improve the segmentation precision of Chinese geological text compared to simple general word segmentation methods or machine learning methods. • TCPM with no sample can reflect the structural features from professional terms in geological field texts. • Chinese word segmentation with custom dictionary from terms extracted by TCPM is better than general segmentation methods. • Combining TCPM with machine learning can improve the accuracy in word segmentation for Chinese geological text. [ABSTRACT FROM AUTHOR]

• Investigate a novel TrFBWM to yield the TrF criteria weights. • Develop the TrFZSG to rank the alternatives. • Propose a TrF-BWM-ZSG by fusinging the BWM and ZSG. This paper investigates a hybrid emergency decision-making (EDM) method called TrF-BWM-ZSG by combining the BWM (best-worst method) and ZSG (zero-sum game) in trapezoidal fuzzy (TrF) environment. Firstly, this paper defines the entropy and similarity for trapezoidal fuzzy numbers (TrFNs). Based on the entropy and similarity measures, a bi-objective programming model is constructed to distribute the weights for experts. Then, based on the multiplicative consistent trapezoidal fuzzy reference comparisons (TrFRCs), a novel TrFBWM is investigated to yield the TrF criteria weights. This novel TrFBWM highlights two innovations: (i) A crisp goal programming weight-determining model is constructed by using the multiplicative consistent TrFRCs; (ii) A reasonable consistency ratio is defined, in which the consistency index is determined according to the consistent transitivity of TrFRCs. Afterwards, the TrFZSG is developed to achieve the alternatives' ranking order by extending the classical ZSG into TrF environment. Lastly, the availability of the TrF-BWM-ZSG is corroborated through a real EDM case of Henan rainstorm disaster. The advantages of the TrF-BWM-ZSG are manifested by several valuable comparisons. Some desirable results derived by the TrF-BWM-ZSG are received: (i) The optimal alternative selected by the proposed TrF-BWM-ZSG suits the actual rescue situation; (ii) The proposed TrF-BWM-ZSG owns high generality since TrFN can reduce to crisp number, interval and triangular fuzzy number; (iii) The developed novel TrFBWM is helpful to preserve more inherent information of TrFNs. [ABSTRACT FROM AUTHOR]

The photovoltaic poverty alleviation (PV-PA) policy is a promising policy innovation to achieve sustainable development in China. Based on first-hand field investigation data of 18 prefecture-level cities and 110 counties in China's Henan Province, this paper first evaluated the efficiency of PV-PA policy and analyzed its spatial correlation characteristics by adopting data envelopment analysis, spatial autocorrelation analysis and social network analysis methods. The results show that: (1) the comprehensive efficiency of the PV-PA policy in Henan Province is good, and that of the prefecture-level is better than the county-level, with great differences; (2) comprehensive efficiency of the PV-PA policy shows a significant spatial agglomeration phenomenon at the county-level, and regional development imbalance exists; and (3) PV-PA policy network linkages at prefecture-level are relatively weak. Finally, this paper makes policy recommendations for optimizing project scale, promoting regional balanced development, strengthening supervision and management, and enhancing the cooperation between policymakers. • DEA was used to evaluate the efficiency of the PV-PA policy in China's 110 counties • Explored the spatial correlation patterns of the PV-PA policy efficiency • Constructed a spatial correlation network for the PV-PA policy efficiency • Comprehensive efficiency of PV-PA policy needs to be enhanced • Unbalanced development and regional uncoordinated situation needs improvement [ABSTRACT FROM AUTHOR]

• The extent of flooding in China is greater than in any other country. • Nearly 66% of China's landmass is submerged by flooding. • Financial toll of flooding accounts for approximately 1.42% of the annual GDP. • Various forms of climatic change contribute to flooding. The extent of flooding in China is more significant than in any other country. Our research reveals that approximately 66 % of China's landmass is submerged by flooding, affecting about 50 % of the population. Furthermore, the financial toll of flooding now accounts for approximately 1.42 % of the annual gross domestic product (GDP), which is almost 40 times higher than the corresponding figure for the United States. We have observed that Zhengzhou city in Henan province, which faced a devastating flood in 2021, received a significant amount of rainfall, specifically a total of 552.5 mm within a 24-hour period. The floods in Henan province in 2021 caused considerable damage, including impacting nearly 15 million people, resulting in almost 400 deaths, damaging over 10,000 square kilometers of agricultural land, causing almost $19 billion in economic losses, and leading to the collapse of over 35,000 households and damage to various properties. In a similar manner, the significant flooding that occurred in southern China in 2020 impacted approximately 7.1 million individuals across eight provinces and resulted in 54 fatalities, the collapse of 6,700 houses, and incurred a direct economic loss of US$3.33 billion. We found that rainstorms have significantly increased to 10 % in the last 60 years in China. In this paper, we delved into exploring the existing published articles, reports, and government and authoritative legal texts to analyze the causes and impacts of flooding in China's flood-prone regions and potential mitigation strategies to reduce the repercussions of distressing flood events. We believe this study will help policymakers by providing new insights while formulating policy to reduce the loss caused by high-level flooding. [ABSTRACT FROM AUTHOR]

For the characteristics of high frequency and strong suddenness of dynamic disasters in deep coal mines, the traditional detection and evaluation techniques applied to shallow coal mine failed to accurately judge the risk degree of disasters. Therefore, it is of great significance to use advanced detection technologies and appropriate evaluation methods to improve the accuracy and efficiency of risk assessment in the process of coal mining. The present paper applies the rapid detection and multi-source dynamic detection technologies used in the field of mining with the purpose of improving the reliability of detection technologies for typical dynamic disaster. In this study, the data fusion technology was used to analyze data obtained from laboratory experiments, engineering survey, detection and historical data, so as to form the final dynamic and static indicators. Then, the new combined evaluation models with time series of coal and gas outburst as well as rock burst were established respectively to carry out the comprehensive risk evaluation using the least-squares method and the time-varying weight method. After the comprehensive analysis on the results of the above two evaluation models, the risk areas of the typical dynamic disasters were judged and classified. Finally, the evaluation models were coded to build an early-warning software platform that could achieve automatic evaluation and the actual 3D visualization of coal mining areas. The early-warning software platform was applied to risk assessment of dynamic disasters in Gengcun Coal Mine in Yima City, Henan Province, China. The results of the 6-month experiment showed that the risk assessment accuracy and reliability of the proposed evaluation models was 100% and 90% respectively, which indicates that the newly developed approach is reliable and can be recommended for applying in more coal mines to improve the process safety risk control. [ABSTRACT FROM AUTHOR]

With the rapid development of global economy and society, water shortage has become a crucial limitation to the growth of many cities. The agricultural water resources carrying capacity (AWRCC) is a key indicator to judge the sustainable development of agriculture. It is necessary to quantificationally evaluate AWRCC to ensure safety of regional economic development and human being's living demand. To reasonably quantify AWRCC, this paper constructs an agricultural water resources evaluation system. CRITIC (CRiteria Importance Through Intercriteria Correlation) is introduced, and its combination with analytic hierarchy process (AHP) solves the subjectivity and randomness of weight determination. Based on the definition of AWRCC and fuzzy comprehensive evaluation (FCE), we construct support index (CCS), pressure index (CCP) and carrying capacity index (CCI) to describe the spatio-temporal variation of AWRCC in Henan Province. Applying sensitivity and correlation analyses into the AWRCC evaluation demonstrates practicality and rationality of results. It eventually provides corresponding suggestions to each city group with diverse carrying capacities. Main conclusions are as follow: (1) The per capita water consumption and agricultural water utilization rate in Henan trended to decrease yearly. The irrigation rate of cropland and the proportion of water-saving irrigation of cropland increased to a varying extent. Water resources utilization rate, cropland irrigation rate, proportion of water-saving irrigation in cropland, grain yield per unit cropland, and wetland proportion were relatively sensitive indicators and they were higher correlated with AWRCC. (2) During 2010–2020, although the agricultural water resources have been overloaded in Henan, AWRCC exhibited a slight enhancement on the temporal scale. On spatial scale, the central region had a stronger AWRCC than the surrounding cities, while the southwest region was relatively weaker, and the AWRCC of the eastern region continued to enhance. (3) According to the tertiary characteristics and spatio-temporal variation of AWRCC, cities of Henan can be roughly divided into four groups and some proposals were proposed individually to enhance the carrying capacity. The conclusion of this paper is helpful to understand the current situation of agricultural water resources in Henan and can provide a reference for the sustainable development of AWRCC. [Display omitted] • CRITIC combined with AHP solves the subjectivity of weight determination. • Spatio-temporal variation characteristics of AWRCC in Henan were analyzed. • Sensitivity and correlation analysis are used to detect AWRCC sensitive indicators. • Proposals were suggested respectively for cities with diverse AWRCC. [ABSTRACT FROM AUTHOR]

Certain edge failures in cyber–physical power systems (CPPSs) can cause cascading failures in the power system. Protecting these critical edges and essential equipment in the supporting communication network can avoid these failures. Here, based on complex network controllability regarding kinetic equations and considering the actual operating conditions of CPPSs, we filter out a class of transmission lines and a class of nodes in the power system communication network of the power system that show a significant impact on network controllability. We further validate the results of the filtering by examining the resulting network robustness. Through simulations, we observe that the power edges and communication nodes screened based on network controllability have the most significant impacts on system controllability. It is therefore crucial to protect these edges and nodes to achieve more stable power grid operation and prevent cascading failures. Finally, we validate our results using a case study on a city in Henan Province, China. Our simulations demonstrate that the addition of a communication system can enhance the controllability of the power system. • Different key components in both power grid and communication network are considered separately. • The impact of different coupling methods on the controllability of the system are evaluated. • The conclusions of this paper are validated in a real power grid. [ABSTRACT FROM AUTHOR]

[Display omitted] • Metallogenic mechanism of lithium resource in sedimentary bauxite (aluminum) deposits was proposed. • Lithium associated with clay minerals in sedimentary bauxite (aluminum) deposits was concluded. • The occurrence states of lithium in clay minerals were reviewed. • The affecting factors of lithium leaching from clay minerals were discussed. Bauxite-associated type Li resource is mainly discovered in the sedimentary bauxite (aluminum) deposits forming areas, especially Northern Guizhou-Southern Chongqing, Western Henan and Central Guizhou, China. This paper reviews the enrichment mechanism and occurrence states of Li in sedimentary bauxite (aluminum) deposits. The Li in these deposits is derived from underlying carbonate rock, and the favorable sedimentary environment, e.g., alternation climate of dry and humid, the marine-continental transitional zone with reduction-weak oxidation and low salinity, is conducive to the Li enrichment in these deposits. Li is mainly hosted by independent mineral (i.e., cookeite), partly adsorbed by montmorillonite, and rarely adsorbed by illite/kaolinite. Furthermore, the leaching methods and affecting factors of Li from bauxite-associated type Li resource are summarized. Acid solution is the main leaching solution, but its excessive use can generate abundant acidic residues, which have hazards to the environment. Thereby, leaching solution with little or no acid has been recommended. The affecting factors of Li leaching are the calcination temperature, leaching temperature, leaching time, liquid–solid ration and mineral particle size. The above summary deepens the understanding of the enrichment mechanism and occurrence states of Li in the sedimentary bauxite (aluminum) deposits, and has the potential to promote Li resource, initially considered uneconomical, become an important economic source of Li. [ABSTRACT FROM AUTHOR]

The palaeoecology of Ginkgo through deep time, including its ecophysiology and heterophylly, remains poorly understood due to the limitation of quantitative methods. In this paper, we report well-preserved leaves of Ginkgo henanensis sp. nov. from the Paleocene Dazhang Formation of Luanchuan, Henan Province, China. Our understanding of the ecophysiology and heterophylly of the genus has been improved by the discovery. These fossils are distinguished by heterophyllous leaves that can range in morphology from bilobed to multi-lobed forms. Thus, unlike other Cenozoic Ginkgo with entire-margined leaves, this is the first well-established Cenozoic taxon that has exclusively lobed leaves similar to Mesozoic-type ginkgos. A useful leaf ecophysiological functional trait that offers quantitative insights into morphological heterophylly and the mechanism of leaf shape selection is the dry leaf mass per area (LMA) of Ginkgo. Leaf shape changes, including the evolution of heterophylly, are linked to functional adaptation. There are two groups of LMAs for four fossil G. henanensis specimens: 120.9 g/m2 to 131.3 g/m2, and 184.5 g/m2 to 187.4 g/m2. The results of the reconstructed fossil LMAs, which serve as quantitative evidence of G. henanensis ' heterophylly, also point to the existence of various leaf survival strategies within G. henanensis. Additionally, both groups of G. henanensis have LMAs that are higher than those of extant Ginkgo biloba , indicating that this species has a slower return ecological strategy than its current equivalent. This strategy may have helped to decrease the rate of nutrient cycling, which supported Ginkgo to thrive in a wider variety of ecological niches in the Paleocene than it does today. These findings close a knowledge gap in the evolution of Ginkgo. • Species similar to the Mesozoic multilobed Ginkgo still present in the Paleocene. • The feasibility of existing methods to reconstruct the leaf mass per area of fossil Ginkgo is tested. • Heterophylly of fossil Ginkgo are quantitatively proved. [ABSTRACT FROM AUTHOR]

Water price reform is an effective way of rationalizing and protecting water resources in areas where water is scarce. This paper first presents a method for measuring water footprint by sector based on the non-competitive input-output technique. Second, this research explores the relationship between water price adjustment and labor compensation, as well as regional water export. Accordingly, this paper constructs a mathematical planning model for differentiated water price adjustment by sector with the objectives of minimum water exports and maximum labor rewards, and conducts a simulation study in the water-scarce Henan Province. The study's findings suggest that: (1) In contrast to direct water use, water consumption in Henan Province is more balanced in terms of water footprint, with the food and tobacco processing industry replacing agriculture as the leading water consumption sector. (2) Sectoral differentiated pricing saves 6.9% more export water resources in Henan Province than uniform sector-wide pricing with the same export GDP loss. (3) At present, the industries in Henan Province that are in urgent need of increased water charges are agriculture, textile industry, Manufacture of leather, Processing of timber and furniture, Manufacture of paper and printing, and Manufacture of chemical products these totals 6 industries. An increase of $1.73, $4.87, $38.55, $51.20, $5.83 and $6.55 per cubic meter in the water price of these six industries can reduce the export water resources of Henan Province by 10.72%. As a result, our findings can be used to optimize water allocation and improve sustainable water use in water-scarce regions. • Sub-sectoral differentiated water price adjustment method is proposed. • Sectoral differentiated pricing approach is more conducive to water conservation. • The method can find the local sectors in urgent need of water price adjustment. • Adjust sectoral water price with minimize economic impact to achieve water saving. [ABSTRACT FROM AUTHOR]

Extreme flooding brought by climate change is becoming the new normal globally, creating numerous threats to life and economic losses. In particular, the lack of preparedness for flooding events in inland regions will compound the losses. However, the causes, impacts, and responses to these disasters in inland areas remain poorly understood. Here, using the recent 7•20 flood disaster in 2021 in the inland province of Henan, China, as an example, we examine the extreme flood, the impacts, and how the climate extremeness and inappropriate human responses caused the great damage. Results showed that the average cumulative precipitation in Zhengzhou was above 250 mm when the flood happened. 10.29 % of the total area and 7.55 % of the total population in Zhengzhou were flooded. Cropland, urban built-up, industrial, and residential areas were hit hardest in terms of land cover type and urban function zone. The Zhengzhou flood was a compound effect of multiple natural hazards reaching the region simultaneously and, on top of this, the region's extreme lack of preparation. Our paper not only took the human response into the current flood risk and flood control system but also put forward transformative measures to improve cities' adaptability to climate change in China and beyond. This paper will be a wake-up call for addressing the human factors exacerbating climate change-related disasters and will provide a reference for transformative disaster governance in inland areas worldwide. • Fading of a script alone does not foster domain-general strategy knowledge • Performance of the strategy declines during the fading of a script • Monitoring by a peer keeps performance of the strategy up during script fading • Performance of a strategy after fading fosters domain-general strategy knowledge • Fading and monitoring by a peer combined foster domain-general strategy knowledge [ABSTRACT FROM AUTHOR]

• 1. The lag degree of hydrological drought is studied by changing the time scale. • 2. Multi-scale standardized indicators can explore the strongest correlation. • 3. According to the synchronization, relevance, correlation to calculate the results. • 4.The scale time with the strongest correlation is the propagation time. To study the propagation law of meteorological droughts to hydrological droughts under variable time scales, and to reveal the synchronisation gap and lag time of hydrological droughts compared to meteorological droughts, and the lag degree of hydrological drought is quantitatively studied. In this paper, the Yellow River Water Supply Area in Henan is taken as the research area, and the propagation time of meteorological drought to hydrological drought under variable time scale is mainly studied. The calculation of drought propagation time is set as two states: interval scale and continuous scale. The Standardized Precipitation Index (SPI) sequence and Standardized Runoff Index (SRI) sequence (1)with interval and continuous scales were obtained by multi-scale standardization of precipitation and runoff, which were used to characterize meteorological drought and hydrological drought respectively. The Mann-Kendall (M−K) test method was used to analyze the evolution of SPI sequence and SRI sequence at monthly scale, and to study the lag time of hydrological drought in four seasons compared with meteorological drought. Combining the Grey Correlation Method and Pearson correlation coefficient methods, the time interval for the propagation of meteorological droughts to hydrological droughts was determined based on the strongest correlation of different combinations of sequences. Finally, the propagation time series is divided into sliding windows to analyse the M−K dynamic trend of propagation time from a seasonal scale perspective. It provides a strong basis for the study of drought propagation based on multi-scale. [ABSTRACT FROM AUTHOR]

• Tree ring is an ideal indicator of annual total grain production parameters. • Tree growth synchronized with grain production, and concurrent response to climate. • Reconstruction of total grain productivity based on dendrochronology. • To explore the relationship between total grain sown area and climate change. Climate change affects the growth of regional vegetation; both trees and grain crops often change concurrently, such that the annual radial growth of trees shows consistent inter-annual variations with the total grain crop productivity. However, it remains unclear whether they exhibit concurrent responses to climate factors, and that there lacks of the study on long-term high-resolution variations of grain crops productivity. This paper employs a Pinus massoniana tree-ring series from the Tongbai Mountains to analyze the correlations between tree-ring chronology, local climate data and grain productivity indicators (i.e., total sown grain areas (TSA), total grain outputs (TGO), and average grain yield per hectare (YPH)) of Henan Province in central China. The results indicate that temperature in March and August was the main limiting factor on tree growth, and the best concurrent relationship with tree growth was TSA, which has a correlation of 0.747 (p < 0.001) during 1959–2020. Therefore, a 124-year TSA series in Henan Province was reconstructed using tree-ring data from the Tongbai Mountains, which reveals there were two distinct low periods of total grain sown area in the 1920 s-1930 s and 1980 s-2000 s. There are significant cycles of about 2.57a (p < 0.01), 2.89a (p < 0.05), and 10.95a (p < 0.1), indicating that vegetation growth might be affected by large-scale climate forcing, such as ENSO (2-7a cycle) and sunspot activity (11a cycle). Overall, this study outlines a new approach to understand long-term changes in grain production, which is conducive to grain management and socioeconomic sustainability. [ABSTRACT FROM AUTHOR]

• SMA was used for the first time for the selection of hyperspectral wavebands. • A novel algorithm of SMA-PCC-RF is proposed to invert heavy metal concentrations. • The algorithm was applied to inversion of heavy metal concentrations in mining area. • Spectral transformations can enhance heavy metals and spectral curves correlation. • SMA-PCC-RF algorithms offers the better inversion accuracy for all heavy metals. Heavy metal contamination has long been a concern of intense research within the field of environmental protection. The exacerbation of heavy metal pollution due to mineral resource over-exploitation and the implementation of agricultural modernization has further emphasized the need for rapid monitoring. Although traditional geochemical survey methods have been deemed reliable, they lack the ability to conduct non-destructive and rapid surveys of large areas due to their high cost, low real-time capability, and cumbersome operations. We collected 120 soil samples in the field using Xin'an County, Henan Province as the research region, and obtained hyperspectral curves and contents of the samples using the spectrometer and chemical analysis. After preprocessing the spectral curves, we used the slime mold algorithm (SMA) to preselect feature wavebands, and then the mathematically transformed method was used to improve their correlation. Next, we calculated the correlation coefficients of these wavebands with six heavy metals, and the final modeled wavebands were obtained through precise feature selection based on the criterion that the correlation coefficient's absolute value exceeded 0.298. The inversion model was also established by using adaptive boosting (AdaBoost), gradient boosted decision tree (GBDT), random forest (RF), and partial least squares (PLS). The results indicated that SMA-PCC can effectively downscale the high-dimensional hyperspectral data and obtain the feature wavebands with a high contribution to the modeling. We also observed that the mathematical transformation method improved the relevance between heavy metal elements and spectra. Among the four models, RF showed better overall inversion accuracy for all heavy metals (i.e., Zn: R AdaBoost 2 = 0.85 , R GBDT 2 = 0.56 , R RF 2 = 0.89 , R PLS 2 = 0.57). This paper showcases that the algorithm presented can provide meaningful technical guidance for the large-scale investigation and assessment of heavy metal levels in soil. [ABSTRACT FROM AUTHOR]

The integrated energy system (IES) can improve energy efficiency and promote the use of renewable energy. It is of great significance to find the optimal alternative from many IES alternatives. However, most studies focused on the IES evaluation with complete information. Given this background, this paper proposes an evaluation method based on generalized regression neural network (GRNN) and probabilistic neural network (PNN) to address the issue of IES evaluation with incomplete information, which takes the running speed of the algorithm and the dynamic updating of the indexes into account. Firstly, the missing data is predicted via GRNN, and a complete evaluation matrix is obtained. Then, the evaluation indexes are clustered by affinity propagation algorithm, and the evaluation matrix of the cluster centers is determined, which can reduce the dimension of the initial matrix and improve the speed of the IES evaluation method. For the newly added evaluation indexes, the PNN is used to classify them, and the new cluster center is calculated, which can address the issue of the indexes updating. Based on the data of a hospital in Henan, case studies were carried out to evaluate the performance of the proposed method. The results show that the proposed method performs better than the existing IES evaluation method. • GRNN is used to address the IES evaluation problem with incomplete information. • The accuracy of GRNN is verified by comparing with common prediction methods. • It is the first work to deal with the issue of indexes updating in IES evaluation. • Compared with the existing evaluation method, the proposed method performs better. [ABSTRACT FROM AUTHOR]

Photovoltaic poverty alleviation power stations (PPAPS) are the foundation of poverty alleviation, whose operation and maintenance (O&M) status is the key to ensuring long-term poverty reduction advantages. As part of PPAPS′ O&M performance, the role of the O&M contracts has yet to be proven. This paper uses a three-stage data envelopment analysis (DEA) model and grey relation analysis (GRA) to analyze the O&M performance efficiency of PPAPS and the influencing factors of contract governance from field data of 110 counties in Henan Province, China. The results show that:1) the O&M efficiency of the PPAPS is relatively high and inconsistent across the region, which has not yet attained optimal productivity; 2) the present efficiency is mainly determined by the initial investment size and installed capacity; 3) the governance factors of O&M contracts affect the performance efficiency of PPAPS, which may lead to overestimation; and 4) longer contract term and higher performance incentive coefficients may result in inefficiencies at the initial stage of PPAPS′ use, while government subsidies allocation and timely O&M cost settlement have little impact on O&M efficiency. This paper proposes corresponding policy recommendations finally. • This paper focuses on the true O&M performance efficiency of PPAPS and influencing factors of contractual. • PPAPS′ O&M performance efficiency is relatively high with regional differences among counties. • The initial investment and capacity installed mostly determined the present efficiency. • Longer O&M contract terms and a higher achievements drive will result in inefficiency at the initial stage of PPAPS. [ABSTRACT FROM AUTHOR]

[Display omitted] • The equivalent coefficient is revised according to ability and willingness to pay. • The Best-worst method is used to determine the weight of the allocated indicators. • A 10 km buffer calculation strip is established in the compensated payment area. • The overflow of hydrological adjusting is greater than that of erosion prevention. • Ecological compensation in 2010–2020 is higher than that in 2000–2010. Coordinated governance and horizontal ecological compensation are important ways to realize ecological protection and high-quality development in the Yellow River basin. Taking the middle and lower reaches of the Yellow River as the research object, this paper analyses the compensation relationship and amount of cities along the line in Shaanxi, Shanxi, Henan and Shandong provinces. Firstly, the spillover value of regulation of water flows and erosion prevention of 32 counties along the Yellow River in Shaanxi and Shanxi provinces were calculated during 2000–2010 and 2010–2020 from the perspective of land use/cover change (LUCC). Secondly, the compensation accounting index system was established based on the classification of ecological services given the beneficiaries' individual preferences, and each indicator's weights were determined based on the Best-worst method. Finally, setting the water ecological service value of the 10 km buffer zone on both sides of the Yellow River as the accounting scope, this paper calculated the amount of ecological compensation paid by 16 cities in Shandong and Henan provinces. The results show that: (1) The spillover value of Shaanxi and Shanxi provinces in 2010–2020 is greater than that in 2000–2010, and the values of erosion prevention in both stages are lower than that of regulation of water flows; (2) From the perspective of providers, the highest is 3.68e + 08 yuan in Lvliang from 2000 to 2010, while the highest is 3.60e + 09 yuan in Yulin from 2010 to 2020; (3) From the perspective of beneficiaries, Zhengzhou has the highest amount of compensation in Henan province, which is 2.28e + 08 yuan in 2000–2010 and 9.41e + 08 yuan in 2010–2020 respectively. In Shandong province, Heze pays the highest value of 1.27e + 08 yuan from 2000 to 2010, and Jinan pays the highest value of 9.56e + 08 yuan from 2010 to 2020. The ecological compensation scheme obtained in this paper is more sustainable than the vertical compensation and expands the scope of the existing ecological compensation standards, which can effectively stimulate the enthusiasm for ecological protection, and reduce the financial pressure on the central government. [ABSTRACT FROM AUTHOR]

By using the observation data of four DSG5-type disdrometers, four automatic weather stations and two dual-polarization Doppler weather radars, this paper analyzes the characteristics of raindrop size distributions (DSDs) and their integral parameters during the severe precipitation in Henan Province, China, specially focusing on the extremely severe rainstorm on the 20 July 2021 in Zhengzhou City. The results show that: (1) In line with most of the severe precipitation in northern China, the July 2021 extreme precipitation were dominated by small raindrops, but medium-sized raindrops with diameter D in 2–4 mm contributed 61.28% to the rain rate R during the time period of extremely severe rainfall at Zhengzhou (ZZ) station, and the raindrops with D > 4 mm contributed 53.74% to the radar reflectivity factor Z. (2) Quantitative evaluation of the gamma model of DSD for different values of R is carried out, and the fitting effect of the gamma model is better for the raindrop spectrum with a single peak structure. However, this method cannot reflect the double-peak structure when R is large. (3) Some differences have been found in the Z - R relationship between Z and R among the four stations (GY, XM, XY, and ZZ). The maximum value of fitting coefficient a appears at the ZZ station, which is close to the a values in the Meiyu season in eastern China. For the other three stations, the a values are comparable to those of typhoons in the western Pacific, but the fitting coefficient b values are less different. (4) The average vertical profiles of dual-polarization radar parameters reveal the microphysical characteristics of the extremely severe rainstorm, that is, there were active ice-phase and warm-rain microphysical processes in the convective system of the extremely severe rainfall, of which the warm-rain process was more dominant. • The DSDs and microphysical characteristics at four weather stations of Zhengzhou City during the 20 July 2021 extremely heavy rainfall period were discussed. • There were three stations with diameter-controlled raindrop size distribution characteristic, only one station was controlled by both number concentration and diameter, the scatter pairs of parameters lg N w - D m of DSDs recorded of ZZ station indicate maritime-like convection. • Quantitative evaluation of the gamma model of DSDs for different rain rate was conducted. The fitting effect of the gamma model is better for the DSD with a single peak structure, while the method cannot reflect the double-peak structure when rain rate is large during the heavy rainfall period. • During the extreme rainfall period, there are active ice-phase and warm-rain microphysical processes in the convection system, and the warm-rain process is dominant. [ABSTRACT FROM AUTHOR]

In the context of global climate change and energy security pressures, biomass power generation has been regarded as an effective way to supplement the energy supply, reduce fossil fuel consumption, and alleviate environmental pollutants. This paper presents an integrated modeling framework to address the regional biomass power generation planning to facilitate biomass utilization in developing countries. By combining the geographic information system, multi-criteria decision-making approach, as well as the type-2 fuzzy inexact programming method, the proposed integrated framework could assist the optimal decision-making for the specific site and size selection of biomass power plants in the whole region as well as the optimal operation strategies under deep uncertainties. The proposed modeling framework is applied to the particular context of Henan, an agricultural province in China with great biomass potential. The results suggested that biomass power plants with a total capacity of 2.4 GW could be established, which could satisfy 6% of local electricity consumption and avoid 18.51 Mt of carbon emissions. The sensitivity analysis of the main economic parameters indicated that lower investment and operation costs were essential to stimulate the utilization of local biomass energy. A higher feed-in tariff is not encouraged due to the limited incentive effect but is a heavy burden for the government. Furthermore, the optimal strategies for biomass power generation planning under uncertainties could be suggested for different decision makers with various risk preferences to achieve a tradeoff between system cost and risk. [ABSTRACT FROM AUTHOR]

The North China Plain is the main producing area of winter wheat in China. Due to the relatively poor condition of water resources, the competition of water between industry and agriculture is fierce. The increasing shortage of water resources has led to serious overexploitation of groundwater in some areas. Agricultural development is faced with severe challenges. In order to ensure regional food security and sustainable winter wheat planting, 52 cities of North China Plain (NCP), in the following of the paper, use the shorted name NCP，were taken as research units to analyze the matching characteristics of agricultural water and land resources, so as to reveal the direction of irrigated agriculture development and winter wheat suitable planting layout considering their balance in future. The paper firstly analyzed the cultivated area determined by water resource and irrigation development by agricultural available water, and then pointed out the direction of water-suited planting layout of winter wheat. The results showed that: 1) the Gini coefficient showed an increasing trend, which indicated that the area of cultivated land and irrigation area supported by water resources have nearly reached the upper limit. The large-scale extension of both cultivated and irrigation area is impossible under the restriction of water. 2) The amount of agricultural available water resources per unit of effective irrigation area and the effective precipitation increased gradually from north to south in the NCP, but the spatial distribution of water requirement of winter wheat in its growth period changed in the opposite way. This indicated the poor spatiotemporal match between winter wheat planting and water resources, leading to the cost of spending more water to maintain wheat production. 3), The further development of irrigation and the water-suited planting of winter wheat should pay attention to the southern part of the plain with rich water (such as southern Henan Province, Jiangsu Province, Anhui Province, etc.) to ensure the regional agricultural development. That is of great significance to the regional sustainable development, water shortage alleviation and national grain safety. ● Restraining the irrigation area and winter wheat in NCP. ● Moderately development irrigation area in south of the NCP. ● Water-suited planting layout of Winter wheat. [ABSTRACT FROM AUTHOR]

The industrial economy in Henan has developed rapidly, and Henan has transformed from an agricultural province into an industrial one. However, the previous rough development model led to a certain degree of imbalance in the industrial structure (IS), which had impact on environment pollution (EP). Based on the existing problems of industrial pollution in Henan, it is still necessary to explore whether the evolution of IS had impact on EP or not. Thus, firstly, the paper used the latest available data of the whole Henan, the prefecture-level cities and the different types of industries from 2008 to 2019 to measure the temporal and spatial evolution of IS using the IS rationalization index, the IS advanced index and the IS change index. Secondly, based on the three indicators of the IS evolution and the comprehensive index of EP, multiple linear regression models and mediation effect models were constructed to assess the impact of the IS evolution on EP. The results showed that the economic growth of industrial sectors presented the characteristics of the structure optimization. The improvement of the rationalization index and the advanced index of IS could reduce the pollution level significantly. Fig: a. The impact of the IS rationalization index on EP b. The impact of the IS advanced index on EP c. The impact of the IS change index on EPFig. a. The mediation effect of IS rationalization index on EP b. The mediation effect results of IS advanced index on EP c. The mediation effect results of IS change index on EP. [Display omitted] [ABSTRACT FROM AUTHOR]

As an institutional innovation in the market-oriented reform of China's energy sector, the policy effect of energy consumption license transaction (ECPT) is still lack of research. The pilot provinces of energy market-oriented reform are relatively scattered. Therefore, this paper aims to evaluate the spillover effect and regional differences of ECPT, so as to make up for the lack of research on China's market-oriented energy reform. Results show that ECPT has inhibitory effects on energy consumption and energy intensity. In addition, ECPT can reduce energy consumption and energy intensity in neighboring areas. The policy effect of ECPT shows the characteristics of strengthening with the evolution of time. Foreign trade, industrial structure and technological progress are the paths for ECPT policies to promote energy transformation. The implementation effect of ECPT shows significant regional differences, which has a significant role in promoting the energy transformation of Henan and Sichuan. Therefore, the central government must ensure the continuity of energy market-oriented reforms to release long-term policy dividends. Pilot provinces should not only play the role of domestic regional energy-saving cooperation, but also strengthen foreign trade and technological innovation to promote energy transformation. • ECPT has an obvious inhibitory effect on energy consumption and energy intensity. • ECPT has the spillover effect of energy saving on neighboring provinces. • The long-term effects of ECPT are stronger than the short-term effects. • Foreign trade, industrial upgrading and technological progress are the mechanisms. • The effect of ECPT shows significant heterogeneity in different pilot provinces. [ABSTRACT FROM AUTHOR]

The carbon emission from major sectors and key industries is the main source of regional carbon emission, which has caused severe climate anomalies. Decoupling analysis and prediction of carbon emissions are helpful to formulate effective carbon emission reduction targets and coordinate the relationship between carbon emission and economic development. Considering the differences between sectors, this paper selects 12 major industrial carbon emitting sectors in Henan Province as the research object, decomposes the carbon emission driving factors by Logarithmic Mean Divisia Index (LMDI) method, analyzes the decoupling relationship of carbon emission and economic development by Tapio decoupling model, constructs a decoupling effort model by combining the LMDI method and Tapio decoupling model to analyze the influence of each effect on the decoupling relationship, and sets up baseline scenario, low carbon scenario and enhanced low carbon scenario to forecast carbon emission and its decoupling state with economic development by the Long-range Energy Alternatives Planning system (LEAP) model. It is concluded that the restraining effects of energy structure, energy intensity and industrial structure are increasing. The decoupling index between carbon emission and economic development of 12 sectors shows a downward trend. Both energy structure effect and energy intensity effect have made weak decoupling efforts, and the decoupling efforts of industrial structure effect were relatively small, especially in Ferrous metal smelting and calendering industry and other five sectors. In 2035, four sectors will achieve carbon neutralization and the overall decoupling effect of carbon emissions will be obvious. Finally, this paper puts forward some recommendations to promote carbon emission reduction. • Decomposition, decoupling and forecasting analysis of carbon emission. • Combining decomposition and decoupling analysis to construct decoupling effort model. • Differences between sectors of industry are considered. • The decoupling efforts of industrial structure effect were relatively small. • Four industrial sectors will achieve carbon neutralization in 2035. [ABSTRACT FROM AUTHOR]

At present, the air quality of most cities in Henan Province is seriously polluted. This will do great harm to people's health and the sustainable development of society. In order to solve this situation and improve the air quality of Henan Province, it is necessary to make effective forecast for the future air quality. After comprehensive consideration of various prediction models, combined with the characteristics of air quality, this paper selects the grey model as the research tool. In order to improve the prediction accuracy of the model, a compound accumulative grey model is proposed in this paper. It has been proved that the accuracy of this model is higher than that of other models. The study found that the concentration of SO 2 and NO 2 in 18 cities in Henan province will continue to decline, reaching the first-level standard. PM 2.5 and PM 10 concentrations in all cities still exceeded the standard, with some cities exceeding the standard seriously. In the future, the focus of air control in Henan Province should be on PM 2.5 and PM 10. The forecast results can provide reference for related departments. [ABSTRACT FROM AUTHOR]

[Display omitted] • A Water-economy-ecology concept framework is established. • An evaluation index system of 3 aspects including 15 indicators is constructed. • EFAST-Cloud model is innovatively proposed and applied in regional WRCC evaluation. • The WRCC of Henan Province is evaluated at the watershed scale and municipal scale. Water is the basic need for human survival and the development of economy and ecology. Water resources carrying capacity (WRCC) modelling is a fundamental task to explore the interaction mechanism between economy-ecology development and water resources carrying system. To reasonably quantify the regional WRCC, an evaluation method based on Water-economy-ecology (WEE) concept framework and EFAST-Cloud model is proposed in this study, and Henan Province of China is selected as a typical study area. It can both identify the inter-feeding relationships between sub-systems and evaluate the proportion of each grade in detail by reflecting the randomness and fuzziness of the evaluation. A total of 15 indicators including water system, economy system, and ecology system are constructed. The study analyzes the sensitivity of indicators by using Simlab software and then calculates the weight of indicators by using EFAST method. Compared with other traditional methods, EFAST algorithm is a special method for model sensitivity analysis, which can fully consider the coupling effect between indicators. According to the statistical data of 2010, 2015, and 2020, the WRCC at the watershed scale and municipal scale in Henan Province are evaluated through the EFAST-Cloud model. At the watershed scale, the ecology system criterion layer performs best over the multiple years, the Huaihe and Yangtze River basin have better WRCC at the target layer. At the municipal scale, Xuchang, Luohe, and Zhumadian have better WRCC, Puyang, Zhoukou, and Jiaozuo are slightly worse. The results show that WRCC of the study area has shown an overall improvement, but there is still much space for its development. Therefore, targeted recommendations are made for the water, economy, and ecology system respectively. The conclusion of this paper can provide a reference for the government in making water resources management policies. [ABSTRACT FROM AUTHOR]

This paper proposes a real-time joint regulating reserve deployment (RRD) model of electric vehicles (EVs) and coal-fired generators (CGs) considering EV battery degradation. The superiority of the proposed model lies in the integration of the EVs' fast regulation speed and CGs' large regulation capacity. The whole optimization model is formulated under a two-stage Markov Decision Process (MDP) to correspond to the real-time RRD process. The user behavior characteristic and EV battery degradation are taken into account to stimulate the users to participate in RRD. Based on the formulated MDP, a piece-wise linear (PWL) function based scalable approximate dynamic programming (ADP) algorithm for different EV clusters is constructed to solve the real-time RRD model under uncertainties. A separable slope update method is proposed to update the slopes of PLF for different EV clusters with different user behaviors. The proposed ADP based real-time RRD algorithm (ADP-RTRRD) provides the approximate optimal real-time RRD policy with the empirical knowledge embedded through off-line training. Numerical simulation on a modified IEEE-39 bus system and Henan power grid in China verify the superiority of the proposed joint RRD model and the advantages of the proposed ADP-RTRRD algorithm. • Proposing the joint RRD model of EVs and CGs considering EV battery degradation. • Taking advantage of EVs' fast regulation speed and CGs' large regulation capacity. • Applying EV aggregation methods to simplify optimization complexity. • Reformulating the real-time RRD process under a two-stage MDP. • Proposing a scalable ADP algorithm to obtain approximate optimal solution. [ABSTRACT FROM AUTHOR]

• A Convolutional Long Short Term Memory Network is used to predict the flood events based on deep learning techniques. • The spatial and time characteristics of floods in China are well modeled to overcome the shortcomings generated by merely relying on time-series analysis. • Different from traditional methods, the hydrological area is gridded into different watersheds for future processing using image processing methods. Floods cause substantial damage across the world every year. Accurate and timely prediction of floods can significantly minimize the loss of life and property. Recently, numerous machine learning models have been used for flood prediction, showing that their performance is preferable to traditional statistical models. However, the existing models neglect the spatial features of floods, which drive flood generation and concentration. In this paper, the area of interest is divided into grids based on longitude and latitude, and the rainfall and discharge collected by stations are combined into tensors according to station coordinates. Different from one-dimensional time series, our input feature is a two-dimensional time series with spatial information. Hence, combining a Convolutional Neural Network (CNN) with a Long Short Term Memory Network (LSTM), we propose the convolution LSTM (ConvLSTM) to extract spatiotemporal features of hydrological information. The methodology is demonstrated using the hydrological data collected at the Xi County stations, located on the Huai River in Henan Province, China. Numerical results indicate that the relative error of arrival time is within 30%, and the relative error of peak discharge is within 20%, satisfying the 2005 Chinese Water Resource Standard on flood prediction permit error. The experiments also show that the ConvLSTM outperforms the recent models in terms of flood arrival time and peak discharge, thereby proving a promising alternative. [ABSTRACT FROM AUTHOR]

The African swine fever (ASF) has triggered considerable shocks to the pig farming industry, which has become a significant animal disease epidemic. The study explores the effect of epidemic experience on post-outbreak production recovery from resilience and risk perception based on 340 micro-survey data from Sichuan, Henan, and Shandong provinces. Epidemic experience has been shown to impact the degree of post-outbreak production recovery positively, and farmers who have endured epidemics are more likely to recover their production after outbreaks. The mechanistic study indicates that past epidemics in African swine fever shocks can effectively improve farmers' cognitive resilience and management capability, enhance recovery, and reduce risk perception in the aftermath of production recovery. In order to alleviate the endogenous problems caused by selection bias, missing variables, and two-way causality. This paper uses factor analysis to comprehensively measure production recovery capacity and production risk perception, and uses propensity score matching(PSM), instrumental variable method and replacement measurement methods to conduct robustness tests, and find the conclusions are still robust. The empirical analysis shows that the experience of the epidemic will promote the recovery of farmers after the outbreak; the experience of the epidemic will significantly impact the recovery of production after the outbreak for both free-range and professional farmers. [ABSTRACT FROM AUTHOR]

The distributed energy system (DES) has been regarded as a socio-technical innovation that can improve energy efficiency and reduce carbon emission. Based on the construction and planning of a DES project in Henan Province, this paper aims to develop a comprehensive decision-making framework for selecting the most appropriate DES composition schemes with multi-source heterogeneous data. Thus, a new multi-criteria decision-making method based on fuzzy preference relations and improved Choquet integral is generated. Firstly, an evaluation criteria system is established from economic, technical, environmental and social dimensions, and 10 secondary criteria are presented. Secondly, based on the interval fuzzy preference relations of criteria given by experts, the iteration of weights of criteria is continued until the group consistency degree reaches the threshold. Thirdly, the deviation degree is used to transform the initial data, which include crisp values, interval numbers and linguistic terms to isomorphism data. Thereafter, the fuzzy measures are calculated using Mobius transformation coefficients and the final scores of the alternatives are obtained by means of Choquet integral, which can eliminate the overlap information between criteria. Finally, a real case is given to illustrate the effectiveness of the proposed evaluation criteria and technique. The result shows the multi energy complementary system as the most appropriate alternative for the project, followed by the solar-air source heat pump system, fuel cell system, natural gas system, internal combustion engine system and traditional system. Conclusively, the discussion, comparative analysis and some policy implications to promote the development of distributed energy industry are given. This study not only can assist stakeholders to obtain greater benefits of the DES, but also can serve as a reference for the government towards the development of more robust regulations and policies. • Six different distributed energy system (DES) composition schemes are analyzed. • The fuzzy preference relations are developed with the requirement of consistency degree. • A new decision-making method with multi-source heterogeneous data is proposed. [ABSTRACT FROM AUTHOR]

• The evolution process of subsequent commutation failures (SCFs) is analyzed. • The influence of electrochemical energy storage (EES) power on SCFs is analyzed. • A coordinated power control strategy of EES to mitigate SCFs is proposed. • The influence of active power amplitude of EES on SCFs is discussed. Commutation failure is one of the most common faults in high voltage direct current (HVDC) transmission system. Subsequent commutation failures (SCFs) caused by commutation failure will cause large voltage and current swing. Several SCFs may cause DC transmission power interruption, which seriously threatens the safe and stable operation of AC/DC hybrid power grid. With the construction and commissioning of grid-side electrochemical energy storage (EES), it is possible to mitigate SCFs of adjacent HVDC transmission lines using EES with fast power response characteristics. In this paper, the influence mechanism of active and reactive power output of EES on commutation conditions is studied by combining the evolution of cascading outages and SCFs. It is found that reactive power mainly affects AC voltage and active power mainly affects DC current. Based on the mechanism analysis, a coordinated power control strategy for EES is presented. This strategy, combined with EES capacity constraints, can control EES active and reactive power output instructions adaptively according to the degree of AC failure at different stages of SCFs to fully release the transient support capacity of EES. Case studies are undertaken on the Henan multi-infeed UHVDC system and CIGRE-HVDC standard test system, respectively. The simulation results verify the correctness of the proposed EES power control strategy and the effectiveness of the strategy for SCFs mitigation in different systems, different fault types, and different fault degrees. [ABSTRACT FROM AUTHOR]

Regional water resources coordination (RWRC) plays a prominent role in long-term sustainability. In order to achieve harmonious utilization of regional water resources, it is suggested that local governments should focus on balancing three goals - security, equity, and efficiency, resulting in both ecological and socio-economic benefits in a region. Therefore, this paper aims to develop a comprehensive evaluation methodology for assessing the degree of RWRC. First, a security-equity-efficiency (SEE) evaluation indicator system is established. A novel multi-criteria decision-making (MCDM) approach that integrates decision-making trial and evaluation laboratory (DEMATEL) method and VlseKriterijumska Optimizacija I Kompromisno Resenje (in Serbian, known as VIKOR) method considering two different hesitant fuzzy linguistic term sets (HFLTSs) is then proposed. With this approach, a final ranking is obtained for six alternatives for the RWRC of the relevant regions (i.e., Shandong Province, Henan Province, Hebei Province, Anhui Province, Tian City, Jiangsu Province) in North China Plain, and the six relevant regions receive coordination performance ranking of II, III, V, I, VI, IV. Moreover, comparison analysis and sensitivity analysis are conducted to verify the effectiveness and reliability of the proposed method and dig deep into the RWRC conditions in the studied regions. Finally, some managerial suggestions are provided for strengthening the coordination levels in these regions. • A SEE indicator system is established for RWRC evaluation. • A hybrid MCDM method integrating different HFLTSs is proposed. • A maximum consensus and minimum hesitant degree model of HFLTSs is constructed. • Interval HFLTSs are introduced into DEMATEL method for indicators' weights. • A case study is presented to verify the effectiveness of the evaluation method. [ABSTRACT FROM AUTHOR]

As energy security has been an increasingly hot topic in research, a reliable and sound framework for allaying energy security is necessary. In this paper, it establishes a methodological framework based on quantitative and qualitative approaches for measuring and improving energy security from a broad sense. Firstly, it interprets the conceptual framework of energy security composed by seven dimensions, and 28 indicators are designed for its assessment. Then, Fuzzy AHP is used to indicate the importance of the dimensions and indicators, and the hybrid model of GRA-TOPSIS is introduced to evaluate energy security performance. Further, a qualitative root cause analysis is conducted with Why-Why Diagram to identify the possible causes affecting energy security. After that, a case study is conducted to investigate energy security of Henan province in China within the period of 2005–2017. The results indicate that, energy security is no longer a single-dimensional concept, but a synthetic term, and the technological, environmental, social, even political aspects can be improved to enhance energy security. The methodological framework with quantitative and qualitative techniques can help achieve an all-around understanding of energy security. • Comprehensive criteria for assessing reginal energy security were developed. • Both quantitative and qualitative analysis for regional energy security were carried out. • Fuzzy AHP was employed to determine the weights of the criteria for energy security. • GRA-TOPSIS was used for security quantitative assessment. • Why-Why Diagram was used to identify the critical factors affecting regional energy security. [ABSTRACT FROM AUTHOR]

• Develop a dispatching scheme for DSUC incorporating multi-function demand response. • Design the LS and RC demand response to improve flexible ramping capability. • Accelerating solution method is proposed to reduce the computational burden. This paper proposes a two-stage data-driven unit commitment dispatching scheme, which coordinates the multi-function demand response of commercial air conditioning aggregators with thermal units to encounter the variations of load and wind power. In the proposed dispatching scheme, the flexible ramping capability of the thermal units is reflected in the coupling constraints between the ramping capacity and reserve capacity. To improve the flexibility of the whole system, multi-function demand response of commercial air conditioning aggregators is incorporated into the scheduling in both stages. In the day-ahead stage, load-shifting demand response reduces the ramping requirements by reshaping the load profile. In the real-time stage, reserve-capacity demand response releases the ramping capability by providing reserve for the rebalance of wind power fluctuation, which is represented by a data-driven uncertainty set. Since the dispatching scheme is formulated as a min–max-min problem, an accelerating solution method is developed to improve the computational efficiency, which combines the column-and-constraints generation algorithm and the specific property of the model. The simulation results tested on the modified IEEE 118-bus system and Henan power grid in China validate the effectiveness of the dispatching scheme and solution method in increasing flexible ramping capability, reducing wind power curtailment and load shedding, improving economic efficiency, and accelerating computation. [ABSTRACT FROM AUTHOR]