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The site investigation is a key part of the design of tunnel construction projects, as it provides accurate geotechnical parameters. A systematic site investigation, which consists of mainly in situ tests and laboratory sample tests, was conducted for the Haimen-Taicang river-crossing tunnel project on Yangtze River. This paper aims to analyze and compare the piezocone penetration testing (CPTU) and dilatometer test (DMT) results of both onshore and under-river subsoils to provide insights into the interpretation of the in-situ tests. The accuracy of well-documented interpretation methods based on CPTU and DMT was discussed. Current empirical correlations between in-situ test results and unit weight, undrained shear strength and constrained modulus of the subsoils were checked, and their site adaptability was discussed in detail. A series of site-specific correlations were derived based on the analysis of the in-situ tests and the comparison between the in situ tests interpretation and the laboratory results. In order to reduce the errors between testing locations caused by soil variability and get the consistent understanding of soil behaviors, CPTU–DMT correlations were reviewed and improved based on local testing results. [ABSTRACT FROM AUTHOR]

The growing impact of ecological theories and environmental preservation has resulted in a movement towards people-oriented design approaches for ecological landscape creation. However, certain university campuses continue to suffer hardships due to underutilized terrains and severe damage caused by large-scale earthworks. Given the new waves of campus growth, there is an urgent need to address these difficulties and consider the planning and design of natural biological landscapes on various campuses of Jiangsu province. A more scientific approach to maintaining ecological balance, protecting biodiversity, and increasing landscape variation on campuses may be taken by combining ecological environment conservation with university landscape design. Based on summarizing and analyzing previous research, this paper takes the Nanjing Communications Institute of Technology as a case study and expounds on the research status and significance of university campus landscape design in Jiangsu Province. Firstly, this study elaborates on the background, current status and future challenges of the concept of ecological environment protection, introduces the study objects, indicators and constituent elements of landscape design of the university campus, and conducts the ecological analysis. Secondly, this paper uses regression analysis to investigate the complex interactions between ecological features and the Ecological Balance Index (EBI) in university campus landscape design. Our suggested design reveals links between various design aspects and overall ecological-aesthetic attributes Inspired by the Principle of Landscape Diversity Design. In addition, we quantified landscape diversity and spatial optimization using the Shannon Diversity Index and Space Utilization Efficiency. Third, this research analyzes the space and visual forms of the landscape on the university campus and proposes a landscape design model for it using ecological environment protection. Third, it explores the expression methods of ecological environment protection and conducts the space division and index selection of landscape design. Finally, this paper discusses the landscape design approaches for university campuses to protect the ecological environment. In experimental work, the paper evaluates and compares several landscape design methodologies. Our proposed design exceeded previous approaches in terms of ecological balance (83%), aesthetic appeal (91%), and sustainability (93%). The proposed design is beneficial in protecting the environment and improving the overall quality of university campuses. These findings provide useful insights and references for future study in landscape design for university campuses in Jiangsu Province under the ecological environment preservation paradigm. [ABSTRACT FROM AUTHOR]

Demand-side flexible load resources, such as Electric Vehicles (EVs) and Air Conditioners (ACs), offer significant potential for enhancing flexibility in the power system, thereby promoting the full integration of renewable energy. To this end, this paper proposes an optimal allocation method for demand-side flexible resources to enhance renewable energy consumption. Firstly, the adjustable flexibility of these resources is modeled based on the generalized energy storage model. Secondly, we generate random scenarios for wind, solar, and load, considering variable correlations based on non-parametric probability predictions of random variables combined with Copula function sampling. Next, we establish the optimal allocation model for demand-side flexible resources, considering the simulated operation of these random scenarios. Finally, we optimize the demand-side resource transformation plan year by year based on the growth trend forecast results of renewable energy installed capacity in Jiangsu Province from 2025 to 2031. [ABSTRACT FROM AUTHOR]

In recent years, the convergence of the Internet of Things (IoT) and machine learning technologies has instigated advancements in IoT, and machine learning has revolutionized SMEs, reshaping their role in regional economic growth. These technologies provide SMEs with innovative tools, fostering connectivity within regional ecosystems. This transformation is crucial for China's economic realignment in its 'new normal' phase, with enterprises driving social and economic progress. This study proposed the XGBoost algorithm and IoT data enhance collaboration among SMEs in regional economies, fostering innovation and driving economic development. The role of IoT and machine learning in promoting sustainable regional economic prosperity. Technological innovation is essential for enterprise survival and growth in a competitive landscape. This paper examines the influence of environmental factors and geography on economic development across China's regions. It focuses on SME coupling and coordination, contributing to regional economic progress through performance evaluation. IoT integration provides SMEs with abundant real-time data, enabling deep insights into customer behavior, supply chains, and production. Simultaneously, the XGBoost algorithm efficiently processes and extracts actionable insights from this data. Data from 11 provinces in the Yangtze River economic belt highlights Jiangsu Province's leadership in regional innovation performance for 2015 and 2020. The empirical results, grounded in datasets amalgamating information from these provinces, attest to the potential of this IoT and XGBoost-driven approach. Boasting an impressive accuracy rate of 91.7%, surpassing alternative machine learning techniques like SVM, KNN, DT, RF, and LR, this research underscores the effectiveness of this integrated strategy in optimizing SME operations. Additionally, it computes the coupling coordination degree, innovation environment ranking, mean value, and numerical changes from 2010 to 2020, with an average innovation coupling coordination degree of 0.1624 across 30 Chinese provinces. [ABSTRACT FROM AUTHOR]

As a pavement maintenance technology, hot in-place recycling (HIR) can realize full utilization of reclaimed asphalt pavement (RAP), significantly saving non-renewable resources and project costs. However, due to variability of material properties, recycled mixtures gradation, and temperature control in construction, HIR-maintained pavement usually suffers from segregation, affecting performance and service life. To control construction quality and prolong service life, a segregation evaluation system of HIR-maintained pavement is proposed. This evaluation system, including calculation of segregation indexes, determination of segregation zones, and discrimination of segregation types, is established based on digital image processing (DIP) and surface texture distribution characteristics. In addition, it is verified by a case study of qualified HIR projects in Jiangsu Province in China. According to the empirical acceptance requirements of maintenance projects, discriminative zones for segregation types are established at 95% confidence level. Fluctuation curves of segregation indexes and image tests of four segregation types identified by segregation zones show that segregation indexes are well correlated with texture distribution characteristics and segregation degree, confirming the effectiveness and accuracy of the segregation evaluation system. Therefore, the segregation evaluation system of HIR-maintained projects proposed in this paper can realize real-time monitoring, rapid diagnosis, evaluation, and treatment decision-making of recycled pavement segregation degree. [ABSTRACT FROM AUTHOR]

To ensure the safety and stability of the shield tunnel construction process, the ground settlement induced by the shield construction needs to be effectively predicted. In this paper, a prediction method combining empirical mode decomposition (EMD), chaotic adaptive sparrow search algorithm (CASSA), and extreme learning machine (ELM) is proposed. First, the EMD is used to decompose the settlement sequence into trend vectors and fluctuation vectors to fully extract the effective information of the sequence; Second, the sparrow search algorithm is improved by introducing Cubic chaotic mapping to initialize the population and adaptive factor to optimize the searcher's position formula, and the chaotic adaptive sparrow search algorithm is proposed; Finally, the CASSA-ELM prediction model is constructed by using CASSA to find the optimal values of weights and thresholds in the extreme learning machine. The fluctuation components and trend components decomposed by EMD are predicted one by one, and the prediction results are superimposed and reconstructed to obtain the predicted final settlement. Taking a shield interval in Jiangsu, China as an example, the meta-heuristic algorithm-optimized ELM model improves the prediction accuracy by 10.70% compared with the traditional ELM model. The combined EMD-CASSA-ELM prediction model can greatly improve the accuracy and speed of surface settlement prediction, and provide a new means for safety monitoring in shield tunnel construction. Intelligent prediction methods can predict surface subsidence more automatically and quickly, becoming a new development trend. [ABSTRACT FROM AUTHOR]

Wind power curve (WPC) is an important index of wind turbines, and it plays an important role in wind power prediction and condition monitoring of wind turbines. Motivated by model parameter estimation of logistic function in WPC modelling, aimed at the problem of selecting initial value of model parameter estimation and local optimum result, based on the combination of genetic algorithm and least square estimation method, a genetic least square estimation (GLSE) method of parameter estimation is proposed, and the global optimum estimation result can be obtained. Six evaluation indices including the root mean square error, the coefficient of determination R2, the mean absolute error, the mean absolute percentage error, the improved Akaike information criterion and the Bayesian information criterion are used to select the optimal power curve model in the different candidate models, and avoid the model's over-fitting. Finally, to predict the annual energy production and output power of wind turbines, a two-component Weibull mixture distribution wind speed model and five-parameter logistic function power curve model are applied in a wind farm of Jiangsu Province, China. The results show that the GLSE approach proposed in this paper is feasible and effective in WPC modelling and wind power prediction, which can improve the accuracy of model parameter estimation, and five-parameter logistic function can be preferred compared with high-order polynomial and four-parameter logistic function when the fitting accuracy is close. [ABSTRACT FROM AUTHOR]

Silt has the characteristics of capillary pore development and strong water sensitivity. The rise of capillary water in silt may cause the strength of the roadbed to decrease or instability. It is vital to identify the mechanical and engineering properties of silt roadbed under capillary water. In this paper, a typical silt in Nantong of Jiangsu Province was selected to investigate the variation rules of the cohesion c, the internal friction angle φ, and the compression modulus Es under different water content by quick direct shear test and compression test. Furthermore, based on the test results, the engineering characteristics of low embankment under capillary water were studied by numerical simulation. The results show that the saturation Sr had little effect on the φ but had an obvious effect on the c. The c of silt decreased with the increase of the Sr. With the increase of water content w, the Es of silt showed a strong nonlinearity. When the void ratio e was larger, the w was the main factor affecting Es. However, the experimental results have a certain applicability, that is, the form of water and gas in the silt was in the stage of "internal connectivity of gas phase." In the case of the same groundwater level, when the filling was low, the deformation of the subgrade was obviously affected by capillary water. According to the simulation results, it is preliminarily determined that the reasonable filling height of silt low embankment was between 1.2 and 1.5 m. [ABSTRACT FROM AUTHOR]

The landslide mechanism and failure mode of the gently sloping Piedmont region are analyzed in Fangshan and Zhutoushan hills in the Nanjing area of Jiangsu Province, China. These hills are underlain by volcanic rocks and have a distinctive stratigraphic structure composed of fill or clay at the surface, coarse-grained soil or fully weathered rock in the middle, and highly or moderately weathered rock at the bottom. Landslides occurred during or after heavy rainfall, and the monitored displacements of the slope surface indicated that sliding had not stopped after a long period of continuous rainfall. Through monitoring of groundwater and simulation, we found that the low-permeability highly weathered rock can restrict the activity of the lower aquifer, resulting in a rapid rise of pore pressure and formation of confined water in response to rainfall, which can lead to slope failure. We discuss the mechanism and avulsed–drifted failure mode of the landslides considering seepage deformation and pressure balance. Finally, we propose appropriate control measures for these landslides. The results of this paper will contribute to prevention of similar landslide geological hazards. [ABSTRACT FROM AUTHOR]

This paper builds an input-output table for carbon fiber industry chain in accordance with input-output theory. In order to get a clear picture of the dynamic input-output process between a variety of sectors involved in the carbon fiber industry chain and the increment of value hereinto, a Graphical Evaluation and Review Technique (GERT) network model is constructed on the basis of value flow, and an analytical algorithm for the GERT network model is proposed to get the value transfer probability, the amount of value increment, and the fluctuation variance, from which the equivalence value transfer process and results between sectors are obtained. Finally, in the case study part, this paper finds out the value transfer relationship within the carbon fiber industry chain in Jiangsu Province, China based on the empirical data gotten from field investigations, and then some constructive policy-making and investment suggestions are put forward in view of the results and analyses. [ABSTRACT FROM AUTHOR]

Wisdom agriculture is a high-level development stage of modern agriculture, which is also one of the key areas of development of national Internet planning. A large number of scientific and technological innovation technology used in agricultural development, including communication technology, automation control systems, and wisdom of agricultural management, which is a complex and unpredictable time series, most of the research methods are based on the linear model, ignoring the nonlinear factors, resulting in the prediction accuracy is not high. In this study, the ARIMA model was used to linearly model the agricultural management time series, and then the nonlinear part of the agricultural management time series was modelled by SVM. Finally, the comprehensive prediction results of the two models were obtained. In addition, this paper combined with intelligent agriculture multi-information fusion technology, which is based on corn planting management empirical analysis in Jiangsu Province. The experimental results show that the combined model is more accurate than the single model, BP neural network prediction has higher precision, and the advantages of the two models are played, and the model is better Agricultural production assessment and adaptation research which need to be applied. [ABSTRACT FROM AUTHOR]

In this paper, the type, vertical evolution, and distribution pattern of sedimentary facies of the Paleogene Dainan Formation in the Gaoyou Depression of the North Jiangsu Basin are studied in detail. Results show that fan delta, delta, nearshore subaqueous fan, and lacustrine facies developed during the Dainan Formation period and their distribution pattern was mainly controlled by tectonics and paleogeography. The fan delta and nearshore subaqueous fan facies predominantly occur in the southern steep slope region where fault-induced subsidence is thought to have created substantial accommodation, whereas the delta facies are distributed on the northern gentle slope which is thought to have experienced less subsidence. Finally, the lacustrine facies is shown to have developed in the center of the depression, as well as on the flanks of the fan delta, delta, and nearshore subaqueous fan facies. Vertically, the Dainan Formation represents an integrated transgressive-regressive cycle, with the E d being the transgressive sequence and the E d being the regressive sequence. This distribution model of sedimentary facies plays an important role in predicting favorable reservoir belts for the Dainan Formation in the Gaoyou Depression and similar areas. In the Gaoyou Depression, sandstones of the subaqueous distributary channels in the fan delta and the subaqueous branch channels in the delta are characterized by physical properties favorable for reservoir formation. [ABSTRACT FROM AUTHOR]

This paper optimises projected land-use structure in 2020 with the goal of increasing terrestrial ecosystem carbon storage and simulates its spatial distribution using the CLUE-S model. We found the following: The total carbon densities of different land use types were woodland > water area > cultivated land > built-up land > grassland > shallows. Under the optimised land-use structure projected for 2020, coastal Jiangsu showed the potential to increase carbon storage, and our method was effective even when only considering vegetation carbon storage. The total area will increase by reclamation and the original shallows will be exploited, which will greatly increase carbon storage. For built-up land, rural land consolidation caused the second-largest carbon storage increase, which might contribute the most as the rural population will continue to decrease in the future, while the decrease of cultivated land will contribute the most to carbon loss. The area near the coastline has the greatest possibility for land-use change and is where land management should be especially strengthened. [ABSTRACT FROM AUTHOR]

Cabbage butterfly ( Pieris rapae), included in the Lepidoptera genus, Pieris family, is the main pest that damages Cruciferae. In this paper, we reported a microsporidian isolate of Nosema species which was isolated from P. rapae in Zhenjiang City, Jiangsu Province, China. The mature spore of this microsporidium is long oval in shape and 3.8 ± 0.3 × 2.0 ± 0.2 μm in size. Research results showed that the novel microsporidium cannot infect the BmN cell in vitro and silkworm larvae. The organization of rRNA gene was 5′-SSU rRNA-ITS-LSU rRNA-3′. Phylogenetic trees based on SSU rRNA and LSU rRNA gene sequences were constructed by MEGA 4.0 software. The topology showed that this microsporidium was on the same second branch of Nosema clade, and had close relationships to other Nosema species. Consequently, this microsporidium was confirmed to be a member of Nosema genus, and named as Nosema sp. MPr. [ABSTRACT FROM AUTHOR]

The coefficient of consolidation ( c or c) is an important parameter in both geotechnical and geo-environmental engineering, measuring the flow characteristics of soils. In China, conventionally it is obtained from the oedometer test, which is time consuming and of limited accuracy due to inevitable sample disturbance. These difficulties can be overcome by in situ pizeocone dissipation tests which provide continuous measurements of pore water pressure with time. In this paper, existing methods for interpreting coefficient of consolidation in clays from piezocone dissipation tests are briefly reviewed. Piezocone tests were undertaken at different sites in the Jiangsu province of China and piezocone dissipation tests conducted at different penetration depths. Based on the reference c values determined from the laboratory oedometer tests, comparisons with existing interpretation methods were undertaken. It is shown that the Teh and Houlsby's interpretation method has a much higher accuracy for determining the coefficient of consolidation of Quaternary clay deposits while the values of c obtained by the CPTU method are in the range of back-analyzed field values. [ABSTRACT FROM AUTHOR]

City outskirts serve as the concentration centers for the pollutants discharged from various sources such as industry, agriculture and transportation. With the acceleration of industrialization and urbanization, the eco-environment of the city outskirts has become a hot spot of public concern. An analysis was conducted in this paper on the soil in the outskirts of Yixing City using frequency distribution functions. The heavy metal sources in this region had been divided into two components, i.e. natural background component and strong human disturbance component. The corresponding interpretation of the distribution pattern and features of heavy metal elements was presented by spatial analysis. The results showed that the strong human disturbance components of Hg, Pb, and Cu accounted for 36.9%, 26.7%, and 23.3% in their contents respectively, which indicated directly the serious effect of human activities on heavy metal contents. Hg and Pb, because of the human disturbance, showed the greatest spatial variability, and human activities intensified the heterogeneity of the spatial distribution. The anisotropic analysis showed the higher organisation of Hg and Zn in the direction of urban-rural transition, which indicated their spatial characteristics with urban-rural transition. Pb displayed distinctive structure in the vertical direction of urban-rural transition, which was largely controlled by highway distribution. Cu content in paddy fields was significantly higher than those of other land-use-types, and the agricultural non-point source pollution played an important role in the distribution pattern of Cu. [ABSTRACT FROM AUTHOR]

The article reports on the demonstrations of environmental protesters in Qidong, Jiangsu province in China pushing officials to scrap plans for a pipeline which carries toxic waste from a paper-manufacturing plant. Shifang, Sichuan province residents also protested the construction of a copper-molybdenum processing plant which could release toxic fumes into the air. Li Bo, Friends of Nature's director, says that the Chinese has regulatory avenues to express concern on environmental damage.