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In order to give full play to the advantages of local governance structure, it is necessary to explore the influence of governance structure on college students' cultural identity and self-confidence. In this paper, a questionnaire survey was conducted on four college students in Henan Province, and the regression analysis method was used to analyze the survey data. Based on the analysis results, from the perspective of local governance structure, the relationship between local governance structure and college students' cultural identity and self-confidence is demonstrated. This paper puts forward the following hypotheses: first, whether the structure of local autonomy has an impact on the cultural identity of college students; second, whether the relationship between college students' identity and selfconfidence is independent; thirdly, whether the local self-control structure can improve the self-confidence of college students; Finally, the influence and degree of local self-government structure and cultural identity of college students on college students' self-confidence. The results show that the local structure can improve the cultural level of college students, with an increase of about 10.5%, and the impact on the cultural self-confidence of college students is relatively small, indicating that there is a correlation between cultural identity and local governance structure, and the correlation between cultural self-confidence is small, and the relationship between cultural identity and self-confidence is independent. The reason for this is that the short-term effect of the local governance structure is significant, and the long-term effect is not good, so it is necessary to cooperate with social participation measures, university system and other measures to enhance students' cultural self-confidence. [ABSTRACT FROM AUTHOR]

In response to a series of problems brought about by rapid economic development, such as global warming and the continuous deterioration of the ecological environment, China has taken the initiative to shoulder the responsibility of a major country and continued to contribute Chinese wisdom and Chinese solutions to the goal of "carbon peak and carbon neutrality" at an early date. In this paper, Henan Province has been selected as the study area, and the changes in land use and carbon storage in Henan Province from 2000 to 2020 have been analyzed spatially and temporally. The PLUS model is used to predict future land use changes under different scenarios, and the InVEST model is used to estimate carbon storage under the corresponding scenarios. The results showed that (1) During 2000–2020, the farmland in Henan Province has been in a decreasing trend, grassland and construction land showed a decreasing trend and then an increasing trend, and woodland showed a decreasing trend. From 2000 to 2020, Henan's overall carbon storage showed a downward trend each year, with storage mainly in the western and southern regions of the province, with a spatial distribution of high storage in the west and low storage in the east. (2) Under the normal development scenario (SSP2-RCP4.5) from 2030 to 2050, the area of farmland and woodland basically showed a continuous downward trend, while construction land showed an upward trend annually, and farmland and construction land showed an increasing trend under the normal development scenario (SSP2-RCP4.5) and economic priority scenario (SSP5-RCP8.5). The decreasing trend of carbon storage was the smallest under the normal development scenario (SSP2-RCP4.5) and the ecological protection scenario (SSP1-RCP2.6). The results provide a basis for decision-making regarding low-carbon and circular developments and rational and optimal land use in Henan. [ABSTRACT FROM AUTHOR]

Copyright of Transformations in Business & Economics is the property of Vilnius University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The situation of resource utilization and eco-environment protection remains critical globally. The harmony between eco-environment health and water-energy utilization efficiency is a strong support for the realization of high-quality development. In this paper, an Assessment-Decoupling two-stage framework was developed to investigate the relationship between water-energy resource utilization and ecological security. In detail, an improved input-output indicator system was constructed to assess the water-energy resource utilization efficiency (WEUE), and its influencing factors were examined from multiple system perspectives; then, we intended to evaluate the ecological risk (ER) from a raster-scale perspective based on land-use types; and finally, the decoupling idea was introduced to quantify the fitness relationship of the above two aspects. The framework was applied to Henan Province, China. The study found that: (1) the WEUE of Henan Province shows a "W" pattern of development during 2000–2020; in 2000–2010, the WEUE of South Henan declined, while in 2010–2020, the WEUE of Henan Province gradually improved, with significant increases in various districts. (2) The ecological risk index (ERI) in Henan Province generally shows a decreasing trend, and the spatial difference is more obvious, with the high-risk areas mainly concentrated in the central, east, and south Henan, and the west of Henan is mainly a low-risk area. (3) There is strong spatial variation in the decoupling states of WEUE and ERI of the 18 districts in Henan Province, and the differences become more pronounced over time. The number of districts with a strong negative decoupling state has been increasing during the entire period, and a total of 14 districts have reached the above state in 2020. The developed framework offers a new idea for clarifying the relationship between resource utilization and ecological conditions, and the obtained results can provide data support for the realization of sustainable development. [ABSTRACT FROM AUTHOR]

In this paper, an empirical analysis is proposed by employing a regression-based convergence test, which was first introduced by Phillips and Sul. Unlike most related studies, this approach allows examining for evidence of club convergence and enables to endogenously identify groups of counties that converge to different equilibria. The results obtained in this paper support the existence of convergence clubs, indicating that 108 counties of Henan Province in China form four separate groups within which income per capita dispersion is decreasing over time. Moreover, results from an ordered logit model suggest that differences in initial income, physical capital, government intervention, geographical agglomeration, and topography factor among these counties have played vital roles in determining club membership. The most important conclusion of this paper is that the structural characteristics and infrastructure level do not contribute to determining club membership, and neighbors' effect is also not a decisive factor. Particularly, counties which belong to Central Henan Urban Agglomeration are more likely to fall into a club with a higher mean income per capita. The findings in this paper may have significant policy implications for developing regions. [ABSTRACT FROM AUTHOR]

Carbon ecological compensation is essential to coordinate regional environmental protection, reduce the gap between the economic development of protected areas and beneficiary areas, and achieve carbon neutrality. This paper proposed a theoretical framework for ecological compensation using the theories of carbon balance, externality, ecosystem services, and carbon trading mechanisms. Based on the analysis of the ecological compensation priority sequence in Henan Province, the suppliers and consumers of carbon sequestration were identified, and cross-regional ecological compensation was realized through ecosystem services flow. The results showed that the carbon sequestration supply in Henan Province was characterized as being high in the west and low in the east, while the demand was the opposite. Affected by the suitable environmental conditions, many areas had an ecological surplus pattern, and the carbon sequestration supply was more significant than the demand. Central and south-western Henan Province were distinct ecological compensation payment areas and receiving areas, respectively. Nanyang, which had the largest carbon sequestration flow and the largest ecological contribution to other regions, received the highest ecological compensation fund of CNY 4.069 billion. This study can provide decision support for carbon ecological compensation in the context of carbon neutrality. [ABSTRACT FROM AUTHOR]

This paper presents an analysis of the temporal and spatial variation of PM2.5 pollution in Henan Province in 2021, based on monitoring and meteorological data. The findings indicate that areas with high concentrations of PM2.5 are primarily distributed in the central and northern parts of Henan Province, while areas with low values are primarily distributed in the southeast part of Henan Province. In winter, PM2.5 concentrations are high in the southwest and east-central parts, and lower in the southeast and northwest. The seasonal variation of PM2.5 concentration is low in summer and high in spring and winter. The monthly average of PM2.5 concentration exhibits a U-shaped pattern, with low values in the summer and higher values in the winter. The difference between workday and weekend PM2.5 concentrations is minor, and the daily average presents a pulse-type fluctuation. Peak PM2.5 concentrations occur in the morning in all seasons, while in winter the peak time is significantly postponed compared to other seasons. The most polluted cities distributed in northeastern Henan Province form a high-high agglomeration, and the cities located in northwestern Henan Province form a low-low agglomeration. [ABSTRACT FROM AUTHOR]

The return of rural migrant workers through increasing agricultural income by expanding farming scale is significant for rural sustainable development without rural population loss. This paper selected six representative counties in Henan Province, China's major grain-producing province, to conduct a questionnaire survey, investigated the incomes of farmers from farming and migrant workers, calculated moderate farming scale under different opportunity costs, and also estimated the agricultural population that can be supported by arable land resources. Results are as follows: (1) Under the traditional planting mode, annual per capita income of farmers in farming was USD 342.18, which was substantially lower than USD 5255.63 in migrant workers. This huge income gap has led to continuous rural population loss. (2) Under the opportunity cost of farming income equal to migrant workers income, moderate farming scales of the six selected counties were 1.39, 1.17, 1.22, 1.08, 1.34, and 1.01 ha, respectively. Under the 0.8x and 0.6x opportunity cost, corresponding moderate farming scales were 1.11, 0.94, 1.11, 0.86, 1.07, and 1.34 ha; and 0.84, 0.70, 0.73, 0.65, 0.80 and 1.01 ha, respectively. (3) On the basis of the three moderate farming scales and status quo of arable land resources, agricultural populations that can be supported by rural Henan Province were 8.0386 million, 10.0479 million and 13.3942 million, respectively. Findings can guide the formulation of rural revitalization strategic measures and the preparation of village territorial spatial planning. [ABSTRACT FROM AUTHOR]

The combined weight method (CWM) for comprehensive water resources carrying capacity evaluation is proposed in this paper to evaluate the regional water resources carrying capacity. Firstly, the accelerating genetic algorithm based on analytic hierarchy process (AGA-AHP) method is improved to optimize the expert evaluation matrix and determine the subjective weight, in which entropy weight method is used to determine objective weight, and the combined weight formula is put forward to get the combined weight of evaluation index. Secondly, the certainty degree is calculated by using the multi-dimensional normal cloud model. The obstacle factors of evaluation index are diagnosed. Finally, taking Henan Province as an example, the regional water resources carrying capacity is evaluated by using CWM method. The comparison between single cloud model, AHP-TOPSIS and CWM is made. It is proved that CWM method takes the fuzziness and randomness into account in the evaluation process, and the efficient and intuitive results can be obtained through evaluation. The obstacle degree and the time changing pattern of the index can be clearly diagnosed, which can provide a new idea for the evaluation method of water resources carrying capacity. [ABSTRACT FROM AUTHOR]

:Drought has been a major natural disaster for mankind since ancient times. Even today, with the development of science and technology, the disastrous consequences caused by droughts are still everywhere. In this paper, the evolution characteristics of the drought and its correlation with circulation in Henan Province from 1970 to 2019 are analyzed by using the methods of standardized precipitation evapotrans- piration index (SPEI), Mann Kendall test and cross wavelet analysis. The results show that based on SPEI value, the climate in Henan Province has gradually become arid in recent 50 years. In terms of spatial variation, the drought in spring, summer and winter is significant in the northwest and relatively humid in the southeast. From the circulation correlation, the North Atlantic Oscillation (NAO), Arctic Oscillation (AO) and Southern Oscillation (SOI) have a strong correlation with droughts in spring, summer and autumn in Henan Province, and the Pacific Decadal Oscillation (PDO) and SOI have a strong inter-annual correlation with droughts in Henan Province. [ABSTRACT FROM AUTHOR]

The sustainable development of China's economy and society has been restricted by energy and environmental issues. With the implementation of the Rise of Central China strategy, Henan, a populous province in China, is facing the threat of an energy shortage as its economy grows steadily and the urbanization process accelerates. Using panel data of 18 cities in Henan Province for the period of 2006–2018, this study investigates the relationship between energy consumption and economic and social development variables based on the extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and threshold regression method. The empirical results indicate that economic and social development are significantly positively correlated with total electricity consumption, although there is regional heterogeneity in this relationship. Moreover, there is evidence for a nonlinear relationship between economic and social development and urban energy consumption. These conclusions not only promote the healthy and sustainable economic development of Henan Province but also provide a reference for other provinces and cities that are experiencing rapid development in China. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Henan Agricultural Sciences is the property of Editorial Board of Journal of Henan Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Benchmark land price balance is an important content of urban benchmark land price work. In this paper, by building different levels of factor layers, the balance of urban residential land in 18 cities of Henan Province is studied, and the 18 cities can be divided into five categories. It is found that the urban land price level is basically consistent with the level of economic development, and some urban land price is lower due to local policy. [ABSTRACT FROM AUTHOR]

Multiple cropping index (MCI) is a very important indicator in crop production and agricultural intensification, which represents the utilizing degree of agriculture resources at time scale and the effective utilization situation of arable land. The objective of this paper is monitoring multiple cropping index of Henan province of China according to the time series of MODIS (Moderate-Resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) after Savitzky-Golay filter processing from the year 2006 to 2011.The results revealed that this method could provide an effective way to monitor multiple cropping index, and the method of no additional authentication data is independent and reliable. The result was accurate and stable, the slope of linear regression of the multiple cropping index between the statistical results and the remote sensing results was 1.0136 (R²=0.779). The precision of sample areas validation was 97.91%. Suggesting that the time series MODIS-EVI which after Savitzky-Golay filtering processed, could provide an effective way to extract spatial information of multiple cropping index for management department of agriculture. [ABSTRACT FROM AUTHOR]

This paper provides a critical review of the effectiveness and appropriateness of preferential college admission policies in China. Due to a lack of transparency in the preferential-policymaking process, this analysis depends largely on indirect data from the national and provincial educational authorities, as well as data from the national census of 1990, 2000, and 2010. A case study on Henan Province suggests that China's preferential college admission policies in its current form in Henan are ineffective and unreasonable for reducing the persisting urban-rural gap in college access, and have to be reformed to be genuinely committed to compensate for rural children's disadvantage in gaining college admission. Moreover, this study highlights rural females' double disadvantages in current policies. [ABSTRACT FROM AUTHOR]

This paper analyses multidimensional inequalities in health care distribution for Henan Province in central China. The paper has two objectives: (1) examining the multi-scale health care inequality in Henan from two dimensions, urban-rural and core-periphery and (2) revealing the spatial effects of China's multiple transitions, provincial development strategies, and local economic development on health care distribution. The authors used geographic information systems-based spatial statistical methods to detect the spatial-temporal variation of health care distribution, and applied geographically weighted regression to reveal the effects of multiple transitions on the health care sector. The results illustrate that urban-rural and core-periphery gaps in Henan are still significant even though health care reforms and recent provincial policies have improved the access of rural and peripheral areas to health care. Health care inequality is sensitive to geographical scale and clustering, and spatial patterns of health care are shaped by the interwoven forces at national, provincial, and local scales. [ABSTRACT FROM AUTHOR]

This paper examines the spatial-temporal dynamics of inequality from the perspective of social deprivation in the context of continuous growth of grain production using national census data from 2000 and 2010 for Henan province, China. Our analytical results show an overall level of social deprivation that is high and a widening social deprivation gap at the county level. The social deprivation shows great spatiotemporal heterogeneity, the higher deprived counties are mainly distributed in central and eastern Henan province, while counties with lower social deprivation are clustered in northwestern regions, formed a belt-shape spatial differential between the south (higher deprived counties clustered) and northwest (low deprived counties clustered) Henan in 2000, and changed toward a core-periphery semi annular spatial structure in 2010, the low deprived counties surrounded by high deprived counties. The social deprivation shows a 'west low and east high' spatial pattern, similar to the grain production in Henan province. Socioeconomic development level was low in most counties in Yudong plain despite of keeping the continuous increase of grain production, meaning the higher grain output did not result in the more social development expected in Chinese traditional agricultural areas, and the regional disparity is expected to increase in the near future if development conditions are not changed, which could inspire more targeted rural governance options. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Groundwater is an essential resource that meets all of humanity's daily water demands, supports industrial development, influences agricultural output, and maintains ecological equilibrium. The objective behind this research is to find groundwater prospective zones and their sustainable development in Henan Province, located in the North China Plain, with the help of analytical hierarchical process (AHP) and frequency ratio (FR) models. Consequently, a groundwater inventory map was created, utilizing 70% of the data for training and 30% for testing purposes. The resulting maps were overlaid with groundwater levels and the locations of wells within the study area. The performance and validation of the models were assessed using the Area Under Curve (AUC) curve, which indicated an accuracy of 70% for the AHP model and 69% for the FR model. The study indicates that areas with suitable gradients and rainfall patterns generally have high groundwater prospective zonation (GWPZ), i.e., Zhumadian and Nanyang (ZN). However, AHP demonstrated a higher predictive capability in comparison to FR the broader context. Whereas GIS-RS methodology aligns with existing wells and field data that validate it in range of good and excellent. In conclusion, this study provides valuable insights for effective groundwater exploration and sustainable water supply planning in Henan Province. [ABSTRACT FROM AUTHOR]

As a major grain-producing province in China's Central Plains, Henan Province is severely impacted by drought, making the study of agricultural drought characteristics in the region crucial. Theil–Sen (Sen) trend analysis, the Mann–Kendall (M-K) test and the Hurst index method were used to systematically analyze the spatial variation characteristics of agricultural drought based on the Temperature Vegetation Dryness Index (TVDI). The results show that: (1) The drought occurs in central, northwestern and southern Henan on an annual scale. The drought situation will continue to increase in northern, eastern northeastern and central Henan. (2) The drought in spring, summer and winter showed an increasing trend, but the opposite trend was observed in autumn. The increasing trend of drought in each season is mainly distributed in northern, central and eastern Henan. (3) The drought in January, February, April, July, September and December showed an increasing trend, while the drought in the other 6 months showed a decreasing trend. The increase in drought during July and August was not pronounced, while the drought situation in September remained largely unchanged. The distribution of drought across the other months exhibited varying patterns across different regions. Overall, the drought trend in Henan Province is on the rise, displaying distinct seasonal and regional patterns in its temporal and spatial distribution. The results can provide a reference for Henan Province to formulate effective measures of drought resistance and disaster reduction to ensure grain production. [ABSTRACT FROM AUTHOR]

This paper evaluates the ecotourism suitability of Henan province based on the ecotourism suitability evaluation system. And our research clarifies the spatial distribution of the ecotourism suitability in Henan province, China, explores the internal relations between landscape pattern and ecotourism suitability, and provides a scientific basis for the future sustainable development of ecotourism in Henan from an ecological perspective. The results show the following: 1) the ecotourism suitability is obvious differences between the eastern and western regions in Henan, with the indexes of ecotourism suitability in the western and southern regions being higher than those in other regions. The ecotourism suitability shows a trend of first increasing and then decreasing in Henan, with the highest value in 2007; 2) the Pearson correlation analysis shows that the key landscape pattern factors, including landscape patch area, shape, number, type, and spatial configuration, have an important impact on ecotourism suitability and show significant time differences. [ABSTRACT FROM AUTHOR]

• Almost all currently infected COVID-19 patients in Henan province were analyzed. • COVID-19 patients in Henan province show gender and age preferences, migrant workers or college students are at high risk. • The incubation period was statistically estimated. • The state transition diagram can reveal the time-phased nature of the COVID-19 epidemic. • Network analysis reveals the aggregate outbreak phenomena of COVID-19. COVID-19 is spreading quickly all over the world. Publicly released data for 1212 COVID-19 patients in Henan of China were analyzed in this paper. Various statistical and network analysis methods were employed. We found that COVID-19 patients show gender (55% vs 45%) and age (81% aged between 21 and 60) preferences; possible causes were explored. The estimated average, mode and median incubation periods are 7.4, 4 and 7 days. Incubation periods of 92% of patients were no more than 14 days. The epidemic in Henan has undergone three stages and has shown high correlations with the numbers of patients recently returned from Wuhan. Network analysis revealed that 208 cases were clustering infected, and various People's Hospitals are the main force in treating COVID-19. The incubation period was statistically estimated, and the proposed state transition diagram can explore the epidemic stages of emerging infectious disease. We suggest that although the quarantine measures are gradually working, strong measures still might be needed for a period of time, since ∼7.45% of patients may have very long incubation periods. Migrant workers or college students are at high risk. State transition diagrams can help us to recognize the time-phased nature of the epidemic. Our investigations have implications for the prevention and control of COVID-19 in other regions of the world. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Henan Agricultural Sciences is the property of Editorial Board of Journal of Henan Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Henan Agricultural Sciences is the property of Editorial Board of Journal of Henan Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

• 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]

Grotto temples in Henan Province, which began in the Northern Wei Dynasty and ended in the Republic of China, have been excavated and repaired to varying degrees in the Sui, Tang, Song, Yuan, Ming and Qing dynasties. In this study, 119 grotto temples sited in Henan Province were considered as the research object, and the spatial and temporal distribution of grotto temples in Henan Province is analyzed by using the method of quantitative geographic analysis and ArcGIS 10.5 software. The analysis results indicate that the grrotto temples (including cliff statues) in Henan Province tend to have a cohesive distribution, with uneven regional distribution, mainly concentrated in the western and northern regions of Henan. The distribution direction and center of the grotto temples (including cliff statues) did not change much during the Northern Dynasties, Sui and Tang dynasties, and Song and Yuan dynasties, mainly distributing in the northwest of Henan. However, the situation underwent significant changes and began to migrate to south of Henan, reflecting the changes the changes in the political and cultural center at that time. The spatiotemporal distribution of the cave temples (including cliff statues) was based on the related topography, river systems, stratigraphic lithology, road traffic, and was direct or indirect influenced by the authorities as well. [ABSTRACT FROM AUTHOR]

Urban extreme precipitation is a typical destructive hydrological event. However, the disaster-causing factors of urban extreme precipitation in Henan Province have rarely been discussed. In this study, daily precipitation data of 11 stations covering a disaster-affected area in "21.7" rainstorm event from 1951 to 2021 and hundreds of climatic indexes set were selected. First, the Granger causality test was adopted to identify the dominant teleconnection factors of extreme precipitation. Then, the effects of teleconnection factors on extreme precipitation in four design frequencies of 10%, 1%, 0.1%, and 0.001% in typical cities of Henan Province were analyzed by using regression and frequency analysis. Finally, the future variation was predicted based on CMIP6. The results show that: (1) The West Pacific 850 mb Trade Wind Index, Antarctic oscillation index, and other factors exert common influence on disaster-affected cities. (2) Teleconnection factors are the dominant force of urban extreme precipitation in most cities (50.3–99.8%), and area of built-up districts, length of roads, area of roads, and botanical garden areas are the key urbanization indicators affecting extreme precipitation. (3) In the future scenarios, the duration and intensity characteristics of urban extreme precipitation will increase, and the growth rate will increase monotonically with the recurrence period. [ABSTRACT FROM AUTHOR]

The exploration of the spatiotemporal variations and influencing factors of grain yield in major grain-producing regions is greatly important to maintain stable and sustainable agriculture. Taking Henan Province and Heilongjiang Province as examples, this study reveals the spatiotemporal characteristics of grain yield at the county level by using multisource data on the economy, society, and natural geography from 2000 to 2021 and employing methods such as coefficients of variation, standard deviational ellipses, and spatial autocorrelation analysis. Moreover, geographical detector and geographically weighted regression models are combined to explore the differences in significant influencing factors between these provinces and the spatial heterogeneity of regression coefficients, respectively. The following findings are drawn: (1) Grain yield in both provinces gradually increased, with notable differences in the annual growth rate, the proportion, and at the county level. (2) The number of high-yield counties significantly increased and their spatial distribution became more concentrated, indicating a notable shift in the main regions. (3) The overall spatial correlation of grain yield steadily increased, and the local spatial correlation transitioned from random distribution to gradual aggregation. (4) There were significant differences in the influencing factors, where geographical environment, socio-economic factors, and input factors all affected both provinces. In summary, this study provides a scientific reference for governments worldwide to formulate rational and effective food production policies, thereby contributing to global food security and sustainable social development. [ABSTRACT FROM AUTHOR]

Abstract: By using the methods of document literature, questionnaire survey and mathematical statistics, this paper investigates and analyses the cuurent situation of students’ participation in extrucurricular sports activities of 36 private middle schools in Henan province which have legal education procedures through the following aspects: the attitude, motivation, times, duration, selection of programs, and influential factors of participating in extracurricular sports activities. Based on the investigation and analysis, this paper points out the existing problems and puts forward suggestions [Copyright &y& Elsevier]

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]

In this study, three typical and most extreme precipitation events in the history of North China are analyzed and compared in terms of accumulated precipitation and synoptical circulation using surface station observations of China and the ERA5 dataset. The three events happened in August 1963 ("63.8" event, hereafter), August 1975 ("75.8" event), and July 2021 ("21.7" event), respectively, mainly in Hebei and Henan Provinces of North China. The results show that the maximum daily and 4-day accumulated precipitation of all three events exceeded 500 mm and 800 mm, with many stations' daily precipitation ranking Top 1. The "63.8" event persisted for the longest time, affected the largest area, and rained the most in 7 days (over 1000 mm). The "75.8" event was characterized by the most extreme daily precipitation and a concentrated area. All three events characterize a normal northward subtropical high that was located in North China and Northeast China. At 500 hPa, the area from South China to the South China Sea was dominated by a uniform pressure field. In the upper levels, there were troughs and divergence anomalies in all three events. In the low levels, there were anomalous low-level jets and the associated water vapor flux anomalies, which were located at different levels and came from different directions. Stable synoptical circulation and persistent jet and water vapor flux anomalies are the key factors in these extreme events. [ABSTRACT FROM AUTHOR]

Ecological security pattern construction is a fundamental approach to ensuring regional ecological security and enhancing human welfare. Taking Henan Province, a typical region of China's main agricultural production area, as the study area, we use multi-source spatial data to calculate the high-value areas of ecosystem services and identify ecological source sites. On the basis of calculating the degree of land use development and GDP per land and population density to determine high-demand areas of the ecosystem, the ecological resistance surface coefficient is modified with nighttime lighting data, and the ecological corridor between the source site and the high-demand area is extracted using the minimum cumulative resistance model, so as to construct and optimize the regional ecological security pattern. The following results are presented. (1) The total area of ecological source sites in Henan Province is 3.02 × 104 km2, accounting for 18.12% of the total study area, which is concentrated in the mountainous areas of East Henan and South Henan. (2) The high-demand area of ecosystem services has a total area of 4.1 × 104 km2, accounting for 24.73% of the total study area, mainly concentrated in the central and eastern regions of Henan, with poor spatial matching of ecosystem service supply and demand. (3) The total length of ecological corridors is 1062.3 km, and the overall pattern forms the main corridor axes. The identification of ecological corridors focuses on the ecological demand space and puts forward suggestions for the optimization of the regional ecological security pattern based on it. [ABSTRACT FROM AUTHOR]

The percentage precipitation anomaly was used to index the effect of drought on winter wheat grown in Henan Province for the years 2011–2020. Of interest was the effect of drought on winter wheat yield and the accurate assessment of the damage done to winter wheat by drought events in order to improve the risk management of winter wheat in the context of drought hazards. The spatial and temporal variability of winter wheat drought risk in Henan Province was determined by analysis of climate data, winter wheat yield, cultivated area, and socio-economic data across three dimensions: exposure or susceptibility to drought, economic–environmental sensitivity to drought, and capacity to resist drought. A drought vulnerability assessment model, based on the entropy value method and a comprehensive fuzzy evaluation, was developed to assess the drought vulnerability of winter wheat in Henan Province compared with the percentage precipitation anomaly model. (1) There were significant spatial differences in the frequency of the five drought categories devised. (2) Areas in which there was a high frequency of mild drought events were mainly in northern and western Henan and southwestern Henan, with the frequency ranging from 17% to 29%. (3) Areas in which there was a high frequency of moderate drought events were mainly in northwestern, central, and southeastern Henan. (4) Areas in which there was a high frequency of severe and extreme drought were mainly in Anyang in northern Henan, Zhengzhou in central Henan, and Xinyang and surrounding areas in southern Henan, with the frequency ranging from 7% to 9.70%. (5) Winter wheat drought vulnerability shows an overall annually increasing trend. The susceptibility dimension had the greatest influence of the three dimensions, followed by economic–environmental sensitivity and then drought resistance, which had the least impact. The model created in this study shows the influence of drought on winter wheat production more intuitively than a conventional fuzzy synthesis, and the results can inform decision-making in winter wheat drought risk assessment and management. [ABSTRACT FROM AUTHOR]

Blastocystis sp. is one of the most common intestinal parasites in humans and many animals. To further understand the infection of Blastocystis hominis (B. hominis) and the distribution of its genotype in some areas of Henan Province, China, 793 stool samples from outpatients and inpatients in Xinxiang City and Xinyang City, Henan Province were collected from April 2020 to July 2022. The samples were detected by polymerase chain reaction and analyzed by univariate analysis and logistic regression analysis. The results showed that the infection rates of B. hominis in Xinxiang and Xinyang were 10.97% (51/465) and 10.98% (36/328), respectively. Although there were no significant differences in B. hominis infection between gender, age, residence, and disease background, the incidence of hematochezia significantly differed from the incidence of abdominal pain, diarrhea, and constipation among participants (χ2 = 15.795, p = 0.002). A total of 87 positive samples were sequenced and compared with Basic Local Alignment Search Tool, and five subtypes (ST1, ST3, ST4, ST6, and ST7) were identified, of which ST3 was the dominant subtype (63.22%, 55/87), followed by ST7 (17.24%, 15/87) and ST1 (16.09%, 14/87). This is the first study that analyzed the prevalence and subtype distribution of B. hominis in southern and northern Henan Province, thus providing new insights into the epidemiology of B. hominis. [ABSTRACT FROM AUTHOR]

With the advancement of "targeted poverty alleviation", the main problems we face at this stage are analyzing the causes of poverty and preventing poverty-stricken villages from falling back into poverty. Using the last batch of poverty-stricken villages that have been lifted out of poverty, which were announced by the Henan Provincial poverty alleviation and development office, as the research object, this research discusses the spatial distribution characteristics of 835 poverty-stricken villages in Henan Province from the perspective of the macro province by combining kernel density analysis and spatial autocorrelation analysis, analyzes their influencing factors using the least squares linear regression model, and performs a quantitative analysis of their influencing factors. The results revealed the following: (1) The spatial distribution characteristics of poverty-stricken villages in Henan Province are characterized by significant agglomeration. A banded high-density area is formed in the east of Henan Province, with a sub-density area in the west of Henan Province, and it radiates outward with the "dikaryon" as its center. (2) High-density and sub-density areas of poverty-stricken villages are mainly located in flat areas, with spatial dependence on each other. The high-high clustering areas are mainly areas dominated by agricultural economies. The low-low clustering areas mainly have limited agricultural development and rapid urban–rural integration. (3) Geographical locations and socio-economic and basic public services are the main factors affecting poverty in poverty-stricken villages. At the same time, environmental livability is an advantageous condition in areas where poverty-stricken villages are located, of which the Temperature Humidity Index factor is most closely related to the distribution density of poverty-stricken areas. The research results are intended to provide information for the policies and program intervention strategies for poverty reduction and sustainable development in poverty-stricken villages in Henan Province, and this is conducive to consolidating the results of targeted poverty alleviation and preventing a return to poverty. [ABSTRACT FROM AUTHOR]

Water is one of the essential resources to production and living. Agriculture, industry, and living are considered as the direct water consumption. This paper employs the concept of marginal product value to estimate the water consumption marginal benefits in Henan Province. We use data on agricultural water consumption, industrial water consumption, and domestic water consumption of 18 cities in Henan Province surveyed from 2006 to 2013 and considered the Cobb–Douglas production function. The results showed that, during the study period, except for the marginal benefit of agriculture in high developed area, the industrial and domestic water use increased, and the industrial and domestic water use benefits were much higher than agricultural. At the same time, the benefit of the developed area was higher than the developing area. The benefits of agricultural water consumption and industrial water consumption in high developed area have made great improvements gradually, while benefits in low developed area have made small changes; but the benefits of domestic water consumption presented the opposite trend. For the moment, the water consumption marginal benefit still has climbing space. The results are needed for determining the ways in which scarce water resources could be assigned to different areas and sectors. [ABSTRACT FROM AUTHOR]

The imbalance in the ratio of males to females at birth is one of the major challenges facing modern China. It is a problem that cannot be overlooked, especially in the context of the socioeconomic development being experienced in China. Based on data of the sex ratio at birth in 2000 and 2010, and using exploratory spatial data analysis and geographical detector methods, this paper systematically explores spatial patterns, evolutionary characteristics and the mechanisms for the analysis of this ratio in Henan province. The results show that: (1) the degree of imbalance between the sexes is exhibiting a downward trend, while significant differences in the levels exist in internal county units and these variations are increasingly expanding; (2) areas exhibiting extreme levels of imbalance are located in the north, east and south of Henan. The remaining areas had a mixed distribution and were widely spread in the central and western regions of the province; (3) according to the spatial correlation characteristics, there exists an obvious aggregation phenomenon in sex structure at birth which has moved northwest in the decade under review; and (4) there are many factors affecting the distribution of the ratio between the sexes at birth, including natural environmental conditions, levels of education, population stress, economic development and population migration. In addition to these factors, urbanization, living conditions, social development, traffic conditions, income level, reproductive potential and health factors have also influenced the proportion of males to females to different degrees. [ABSTRACT FROM AUTHOR]

In order to cope with global warming, China has put forward the "30 · 60" plan. We take Henan Province as an example to explore the accessibility of the plan. Tapio decoupling model is used to discuss the relationship between carbon emissions and economy in Henan Province. The influence factors of carbon emissions in Henan Province were studied by using STIRPAT extended model and ridge regression method, and the carbon emission prediction equation was obtained. On this basis, the standard development scenario, low-carbon development scenario, and high-speed development scenario are set according to the economic development model to analyze and predict the carbon emissions of Henan Province from 2020 to 2040. The results show that energy intensity effect and energy structure effect can promote the optimization of the relationship between economy and carbon emissions in Henan Province. Energy structure and carbon emission intensity have a significant negative impact on carbon emissions, while industrial structure has a significant positive impact on carbon emissions. Henan Province can achieve the "carbon peak" goal by 2030 years under the standard and low-carbon development scenario, but it cannot achieve this goal under the high-speed development scenario. Therefore, in order to achieve the goals of "carbon peaking" and "carbon neutralization" as scheduled, Henan Province must adjust its industrial structure, optimize its energy consumption structure, improve energy efficiency, and reduce energy intensity. [ABSTRACT FROM AUTHOR]

Accurate understanding of spatial distribution and variability of soil total nitrogen (TN) is critical for the site-specific nitrogen management. Based on 4337 newly obtained soil observations and 33 covariates, this study applied the random forest (RF) algorithm and modified regression kriging (RF combined with residual kriging: RFK, hereafter) model to spatially predict and map topsoil TN content in agricultural areas of Henan Province, central China. According to the RFK prediction, topsoil TN content ranged from 0.52 to 1.81 g kg−1, and the farmland with the topsoil TN contents of 1.00–1.23 g kg−1 and 0.80–1.23 g kg−1 accounted for 48.2% and 81.2% of the total farmland area, respectively. Spatially, the topsoil TN in the study area was generally higher in the west and lower in the east. By using the Boruta variable selection algorithm, soil organic matter (SOM) and available potassium contents in topsoil, nitrogen deposition, average annual precipitation, livestock discharges, and topsoil pH were identified as the main factors driving the spatial distribution and variation of soil TN in the study area. The RF and RFK models used showed the expected performance and achieved acceptable TN prediction accuracy. In comparison, RFK performed slightly better than the RF model. The R2 and RMSE achieved by the RFK model were improved by 4.5% and 4.5%, respectively, compared with that by the RF model. However, the results suggest that RFK was inferior to the RF model in quantifying prediction uncertainty and thus may have a slight disadvantage in model reliability. [ABSTRACT FROM AUTHOR]

Based on the China Meteorological Administration Land Data Assimilation System (CLDAS) reanalysis data and 12–72 h forecasts of the surface (2-m) air temperature (SAT) from the European Centre for Medium-Range Weather Forecasts (ECMWF) and three numerical weather prediction (NWP) models of the China Meteorological Administration (CMA-GFS, CMA-SH, and CMA-MESO), multi-model ensemble forecasts are conducted with a convolutional neural network (CNN) and a feed-forward neural network (FNN) to improve the SAT forecast in Henan Province, China. The results show that there are large errors in the 12–72 h forecasts of SAT from the CMA, while the ECMWF outperforms the other raw NWP models, especially in eastern and southern Henan. The CNN has the best short-term forecasting skills. The difference in the geographical distribution of the CNN forecast errors is small, without any apparent large-value areas. The CNN shows its advantages in its bias correction in the mountainous region (western Henan), indicating that the CNN can capture the spatial features of the atmospheric fields and is therefore more robust in regions with varied topography. In addition, the CNN can extract data features through the convolution kernel and focus on local features; it can assimilate the local features at a higher level and obtain global features. Therefore, the CNN takes advantage of the four models in the SAT forecast and further improves the forecast skill. [ABSTRACT FROM AUTHOR]

The collection of traditional administrative unit-based gross domestic product (GDP) data is time-consuming and laborious, and the data lacks accurate spatial information. Long-term series nighttime light (NTL) data can provide effective spatiotemporal GDP change information, which can be used to analyze economies' spatial distributions and development trends. In this study, we generated a spatial model of the relationship between NTL indices and GDP parameters, based on NPP-VIIRS-like NTL data for the period 2001 to 2020, conducted a multitemporal and multilevel connectivity analysis of the GDP spatialization data, and constructed a tree structure for horizontal and vertical analysis. Standard deviation ellipses and economic centers of the first-level economic connected components at the provincial and municipal levels were generated, and the economic center distribution range and development direction at the provincial and municipal levels were analyzed. The results show that GDP spatialization data, based on NPP-VIIRS-like NTL data, can intuitively reflect the GDP spatial distribution. In Henan Province, the economic levels of different regions vary, and the economic regions represented by Zhengzhou have developed rapidly, driving surrounding regional economic rapid development. Henan Province's development trend from single-city economic centers to multicity economic centers is obvious, and the economic center has shifted to the southeast. [ABSTRACT FROM AUTHOR]

Tropospheric NO 2 and SO 2 concentrations are of great importance with regard to air quality, atmospheric chemistry, and climate change. Due to lack of surface monitoring stations, this study analyzes long term trend of NO 2 and SO 2 levels (2005–2014), retrieved from Ozone Monitoring Instrument (OMI) board on the NASA's Aura satellite, in an important region of China – Henan Province. Henan Province, located in North China Plain, has encountered serious air pollution problems including extremely high PM 2.5 concentrations and as one of the most polluted region in China. The satellite spatial images clearly show that high levels of both NO 2 and SO 2 are concentrated in north and northeastern regions with much lower levels observed in other parts of Henan. Both pollutants exhibit the highest levels in winter with the least in summer/spring. The temporal trend analysis based on moving average of deseasonalized and decyclic data indicates that for NO 2 , there is a continuous increasing pattern from 2005 to 2011 at 6.4% per year, thereafter, it shows a decreasing trend (10.6% per year). As for SO 2 , the increasing trend is about 16% per year from 2005 to 2007 with decreasing rate 7% per year from 2007 to 2014. The economic development with incredible annual 11% GDP growth in Henan is responsible for increasing levels of NO 2 and SO 2 . The observed decreasing SO 2 level starting in 2007 is due to reduced SO 2 emission, utilization of flue gas desulfurization (FGD) devices and to some extent, in preparation of Beijing 2008 Olympic Games. On the other hand, increasing vehicle numbers (155% from 2006 to 2012) and coal consumption (37% during the same span), along with the lack of denitration process for removing flue/exhaust gas NO x are responsible for increasing NO 2 trend until 2011. The ratio of SO 2 /NO 2 started decreasing in 2007 and dropped significantly from 2011 to 2013 indicating good performance of FGD and ever increasing NO x contribution from mobile sources. Unlike those observed in developed countries (US, EU and Japan) where a decreasing trend for both SO 2 and NO 2 has been observed since 1990s, the observed upward and downward trend found in Henan is similar to those found in North China Plain and other parts of China. The spatial and temporal trend analyses of SO 2 and NO 2 in four other regions in Henan further indicate a similar trend to those observed in Henan Province, albeit with different increasing and decreasing rate. The results provide regulatory agency to develop action plans to combat air pollution problem in general and SO 2 and NO 2 problems in particular in Henan. The implications of our findings and recommendations for decision makers are discussed in the paper. [ABSTRACT FROM AUTHOR]

To highlight the characteristics of PM2.5–O3 pollution in the Central Plains Urban Agglomeration, spatial and temporal characteristics, key meteorological factors, and source pollution data for the area were analyzed. These data from the period 2014–2020 were obtained from state-controlled environmental monitoring stations in seven major cities of the agglomeration. The results revealed the following: (1) Spatially, the PM2.5–O3 pollution days were aggregated in the central area of Xinxiang and decreased toward the north and south. Temporally, during the 2014–2020 period, 50 days of PM2.5–O3 pollution were observed in the major cities of the Central Plains Urban Agglomeration, with an overall decreasing trend. (2) A low-temperature, high-pressure environment appeared unfavorable for the occurrence of PM2.5–O3 pollution days. Wind speeds of 2.14–2.19 m/s and a southerly direction increased the incidence of PM2.5–O3 pollution days. (3) The external transport range in summer was smaller and mainly originated from within Henan Province. These results can provide important reference information for achieving a synergistic control of PM2.5–O3 pollution, determining the meteorological causes, as well as the potential sources, of PM2.5–O3 pollution in polluted areas and promoting air pollution control. [ABSTRACT FROM AUTHOR]

Extreme precipitation in July across Henan Province and the possible mechanisms involved were investigated. The precipitation in Henan reaches its maximum in July. During 1979–2021, the precipitation in July changed weakly, but the intensity (R99p) and frequency (R99f) of extreme precipitation showed certain increasing trends, with a significant increase in northern Henan. The proportion of extreme precipitation in total precipitation exhibited a significant upward trend. Wavelet analysis results showed that the extreme precipitation in Henan mainly has a 2–3‐year periodicity, and remarkable interannual variation. Furthermore, nearly 80% of the July extreme precipitation events within the magnitude of 50–100 mm occurred 2–3 times. The first two empirical orthogonal function modes of July R99p exhibited a quasi‐monopole pattern (EOF1) and meridional dipole pattern (EOF2), respectively. Further analysis revealed that EOF1 and EOF2 were related to the Silk Road teleconnection pattern (SRP) and the East Asia/Pacific teleconnection pattern (EAP). Circulation factors influenced the interannual variation of R99p, especially in recent years. Furthermore, the associated sea surface temperature anomalies over the Western Pacific and Indian Ocean can intensify the eastward extension of the South Asian high and westward strengthening of the western Pacific subtropical high, which further impacted the SRP and EAP pattern and enhanced the increment of extreme precipitation in Henan Province. [ABSTRACT FROM AUTHOR]

Few studies have investigated agricultural carbon emissions peaks, especially from the financial development perspective. This study focuses on the effects of financial scale and efficiency to achieve an agricultural carbon emissions peak in China's Henan Province. Using an extended STIRPAT model and scenario analysis, we find: (1) with the inverted U-shaped influence mechanism of rural financial scale and incorporating rural financial efficiency, agricultural carbon emissions in Henan will peak at 14.17 million tons in 2040, 12.50 million tons in 2034, and 11.73 million tons in 2023 under the baseline low-carbon, moderately accelerated low-carbon, and stringent low-carbon development scenarios; (2) without financial efficiency improvements, carbon emissions will peak five years, three years, and six years later, and the peak value will increase 0.97 million tons, 0.65 million tons, and 0.30 million tons. Therefore, agricultural carbon emissions will peak earlier with continuous and strong financial policy adjustment to facilitate financial development. We also find that agricultural carbon absorption exceeds emissions, achieving carbon neutrality. The policy implication is that financial development matters to sustainable agricultural development. Developing countries could learn from the financial development experience (i.e., gradual financial reform and a stable financial environment) in Henan and China in general. [ABSTRACT FROM AUTHOR]

City classification can provide important data and technical support for city planning and government decision-making. Traditional city classification mainly relies on the accumulation and analysis of census data, which requires a large time period and relies heavily on historical and statistical data. This paper mainly utilizes Luojia I Night-Time Light (NTL) images to analyze the rank classification of cities in Henan Province, China. Intensity values can be expressed as the mathematical surface of continuous human activities, and the basic characteristics of urban structures are determined by analogy with the topography of the earth. A connectivity analysis method for NTL images is proposed to analyze the connected regions of images at different intensity levels. By constructing a tree structure, different cities can be analyzed "crosswise" and "lengthwise" to generate a series of parametric information from connected regions of NTL images. Based on these parameters, 18 cities in Henan Province were classified and analyzed. The results show that these attribute information can be well used for city center detection and grade classification, and can meet the requirements of application analysis. [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]