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Pollution characteristics and ecological risks of antibiotic in different environmental media in Henan Province
Study on the Hydraulic Vibration Characteristics of the Water Conveyance and Power Generation System in Pumped-storage Power Stations
Shaking Table Test Study on Sand Liquefaction Characteristics in Xixiayuan Irrigation Project
Analysis of Collaborative Optimization Operation Characteristics of Pumped Storage and Electrochemical Energy Storage Based on Anti-Regulation
Identification of Priority Active Pharmaceutical Ingredients Based on Groundwater Contamination Risk
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Ecological Evaluation and Landscape Pattern Analysis of Yellow River Delta Wetlands
TAO Jie;LI Shala;ZHANG Liting;ZUO Qiting;【Objective】 Scientifically evaluate the ecological environment quality of the Yellow River Delta Wetlands, systematically analyze its landscape patterns, and provide scientific support for formulating effective protection and restoration strategies in the region. 【Methods】 Taking the Yellow River Delta Wetland Reserve as the study area, the remote sensing ecological index(RSEI) was used to evaluate the ecological environment quality of the wetland from 2001 to 2020 based on the platform of Google Earth Engine(GEE). The patch density, landscape shape index, Shannon diversity index, and contagion index were selected for the analysis of the landscape pattern, and the correlation between the RSEI and the landscape pattern was explored. 【Results】(1) RSEI increased in general, forest and grassland restoration and effective constraints of human activities improved the RSEI from ″poor″ to ″medium″ level. The ecological quality of the Yi-Qian-Er protected areas and the eastern estuary of the Yellow River improved significantly due to the remediation of sewage outfalls. The western and central regions were affected by human activities and urban expansion, and the ecological environment was not optimistic.(2) From 2001 to 2019, the patch density and landscape shape index increased, and landscape diversity increased, but the contagion index declined, resulting in weakened landscape connectivity. In 2020, connectivity was restored in part of the area, and the contagion index increased significantly, resulting in the formation of more continuous dominant patches.(3) The temporal trends of landscape pattern indicators and RSEI were consistent, and the contagion index was negatively correlated with RSEI(r=-0.72), suggesting that excessive connectivity reduced ecosystem diversity and stability. Patch density, landscape shape index, and Shannon diversity index were positively correlated with RSEI(r=0.75, 0.76, and 0.72), suggesting that landscape heterogeneity and diversity contributed to the enhancement of ecological quality. 【Conclusion】 The ecological environment quality of the Yellow River Delta Wetlands shows significant characteristics of overall improvement, local fluctuations, and spatial differentiation. The temporal change trend of the landscape pattern is consistent with the changes in RSEI. This study can provide a scientific basis for ecological protection and management in the study area.
Research on Interactive Stress and Coupling Coordination between Urban-Rural Integration and Eco-environment of Urban Agglomerations in Yellow River Basin
SUN Tao;SUN Bin;XUE Jianchun;【Objective】To reveal the interactive stress relationship and coordinated development status between urban-rural integration and eco-environment of urban agglomerations in the Yellow River Basin, so as to provide policy references for comprehensively promoting ecological conservation and high-quality development in the region. 【Methods】The evaluation index system of urban-rural integration and eco-environment was constructed based on the analysis of the coupling coordination mechanism between the two subsystems and the panel data collected from 58 prefecture-level cities of 7 urban agglomerations in the Yellow River Basin during 2006 to 2021. Through the application of the comprehensive index method, interactive stress model, coupling coordination degree model, and spatial autocorrelation analysis, this research explored the interactive stress relationship between urban-rural integration and eco-environment of urban agglomerations in the Yellow River Basin and the spatiotemporal evolution characteristics of the coupling coordination. 【Results】(1) The urban-rural integration index and eco-environment index of urban agglomerations in the Yellow River Basin showed a general trend of growth, and the value of the eco-environment index was higher than the urban-rural integration index, with slow growth and a gradual convergence.(2) There was an interactive stress relationship between urban-rural integration and eco-environment of urban agglomerations in the Yellow River Basin, and its evolutionary trajectories were in line with the phased development characteristics formed by the combination of multiple ″S″-shaped curves.(3) The curve of coupling coordination degree between urban-rural integration and eco-environment of urban agglomerations in the Yellow River Basin generally showed a fluctuating upward trend. The coupling coordination level approximately presented a spatial differentiation pattern of a declining gradient from northeast to southwest, and there was a significant spatial positive correlation, mainly including ″low-low″ and ″high-high″ local agglomeration areas, and the ″high-low″ agglomeration areas were sporadically distributed. 【Conclusion】Comprehensively promoting ecological conservation and high-quality development in the Yellow River Basin should prioritize understanding the interactive response mechanism between urban-rural integration and eco-environment in urban agglomerations, fostering their coordinated development.
Research on Spatiotemporal Patterns and Influencing Factors of Agricultural Water Use Efficiency in Yellow River Basin
LIU Jianhua;GAO Xinke;SHI Tianle;HUANG Liangchao;【Objective】 This study aims to reveal the spatiotemporal patterns and influencing factors of agricultural water use efficiency in the Yellow River Basin and to promote high-quality agricultural development in this region. 【Methods】 Based on panel data from 2013 to 2022, the undesirable output super-efficiency SBM model was first used to measure and analyze the agricultural water use efficiency of various cities in the Yellow River Basin. Subsequently, the Tobit model was used to analyze the influencing factors of agricultural water use efficiency. Finally, the spatiotemporal geographically weighted regression model was used to analyze the degree of influence and spatiotemporal differences of each factor. 【Results】(1) The agricultural water use efficiency in the Yellow River Basin greatly improved in recent years, but it remained at a relatively low level, with significant spatial differences and a distribution pattern of ″higher in the east and lower in the west″ and ″higher in the south and lower in the north″.(2) Per capita water resources, proportion of surface water supply, proportion of water-saving irrigation area, and per capita agricultural output value were the main influencing factors of agricultural water use efficiency.(3) The influencing factors of agricultural water use efficiency in the Yellow River Basin exhibited significant spatiotemporal heterogeneity. Per capita water resources primarily exhibited a negative influence, but the degree of this influence gradually weakened from east to west, and in some regions, it even showed a positive influence. The negative influence of the proportion of surface water supply first increased and then decreased, showing a spatial distribution characterized by ″higher in the west and lower in the east″. The positive influence of the proportion of water-saving irrigation area gradually increased, showing a distribution pattern of ″higher on both sides and lower in the middle″. The influence of per capita agricultural output value demonstrated significant spatial heterogeneity. In the middle and lower reaches of the Yellow River, it had a positive influence that gradually intensified, following a distribution pattern of ″higher in the east and lower in the west″, while in some areas of the upper reaches of the Yellow River, it exhibited a negative influence. 【Conclusion】 The agricultural water use efficiency in the Yellow River Basin has improved in recent years but remains at a relatively low level, with significant spatial differences. It is greatly influenced by the per capita water resources, the proportion of surface water supply, the proportion of water-saving irrigation area, and the per capita agricultural output value, reflecting complex spatiotemporal dynamic characteristics.
Spatiotemporal Matching Characteristics and Prediction Analysis of Water-Land Resources in Cities along Yellow River in Henan Province
GUO Hui;XIA Fan;ZHANG Xiaoli;JIANG Xinyan;SUN Xinhua;ZHAO Lupeng;【Objective】 Water and land resources are the most fundamental resources for economic and social development. This study aims to clarify the spatiotemporal matching relationships and variation characteristics of water and land resources, thereby providing a decision-making reference for the optimal allocation of regional water and land resources. 【Methods】 Taking the cities along the Yellow River in Henan Province as a case study, a system dynamics model was established based on a first-order dynamic system and historical data from 2010 to 2022. This model was used to predict regional water consumption from 2020 to 2035. The prediction results were then used as a constraint for the PLUS model to simulate the regional land use patterns from 2020 to 2035. Additionally, the matching coefficients of agricultural water-land resources and urban water-land resources were calculated respectively. 【Results】(1) The total water consumption in cities along the Yellow River in Henan Province showed an increasing trend from 2020 to 2035, among which Zhengzhou, Kaifeng, and Xinxiang exhibited a significant increasing trend.(2) From 2010 to 2020, the area transferred into construction land was substantially larger than that of other land use types, with cropland being the primary source of such transfer.(3) During 2030-2035, the matching coefficient of agricultural and urban water-land resources were 1 860 m3/hm2 and 5 130 m3/hm2, respectively, representing increases of 10.06% and 4.70% compared to the 2025-2030 period.(4) In industrial cities such as Zhengzhou, Luoyang, Sanmenxia, and Jiyuan, the matching status of urban water-land resources was relatively good, while that of agricultural water-land resources was poor. In agricultural cities such as Kaifeng, Xinxiang, Jiaozuo, and Puyang, the matching status of urban water-land resources was relatively poor, while that of agricultural water-land resources was good. 【Conclusion】 From 2020 to 2035, the agricultural and urban water-land resource matching coefficients in the cities along the Yellow River in Henan Province initially decrease and then increase, indicating an overall improvement in the degree of water-land resource matching.
Sensitivity Analysis of Water Conservation Amount to Land Use Changes in Yellow River Water Source Conservation Area
MAO Hairui;DU Junkai;XIE Min;ZHANG Shouping;QIU Yaqin;TAN Xingyan;HAO Chunfeng;SHI Hongyuan;【Objective】 Revealing the spatiotemporal distribution patterns of water conservation amount in the Yellow River water source conservation area and exploring its sensitivity to land use changes aim to provide references for water resource management, land use planning, and ecological restoration in the Yellow River Basin. 【Methods】 This study, from the perspective of land use type change, employed the WEP-L model and a calculation method based on the watershed water cycle perspective to estimate the water conservation amount in the Yellow River water source conservation area and investigated its sensitivity to different land use types. 【Results】(1) The multi-year average water conservation amount was 18.432 billion m3, equivalent to 61 mm per unit area, of which 11.437 billion m3 during the flood period, 3.782 billion m3 during the transitional period, and 3.213 billion m3 during the dry period.(2) The distribution showed higher values in the east and lower in the west. The water conservation capacity showed a slight increasing trend of 0.037 billion m3 per year, with abrupt changes in 1964 and 2002. The sequence displayed two significant cycles of 56 years and 35 years.(3) The sensitivity coefficients were 0.594 for forest, 0.341 for cropland, 0.301 for water bodies, 0.232 for grassland, and 0.063 for other areas. 【Conclusion】 The WEP-L model and the water conservation calculation method based on the watershed water cycle perspective can be effectively applied to assess the water conservation function in the Yellow River source area. The water conservation function in the study area is significantly influenced by land use changes, with forested land being the key category regulating regional water conservation capacity.
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