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Surface Water Extraction and Spatiotemporal Changes in the Yellow River Basin Considering the Suspended Particulate Matter Concentration
Study on the Influence of Granite Alteration Degree on Tunnel Stability
Spatiotemporal Evolution and Multi-Scenario Simulation of Flood Disaster Mitigation Capacity Based on the Entropy-Weighted TOPSIS–SD Model
Effects of Different Degree Drought Stress in Multiple Growth Stages on Evapotranspiration and Yield of Soybean
Study on the Physicochemical and Compressive Deformation Characteristics of Dispersive Clay under the Coupling Effect of Freezing-thawing Cycles and Immersion
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Drought Cluster Analysis in Yellow River Basin Based on Self-Organizing Map
YU Lei;LI Yajing;ZHU Dajiong;LIU Yuanrui;【Objective】 The spatiotemporal variations of historical meteorological drought characteristics in the Yellow River Basin are investigated through cluster analysis of drought indices across multiple temporal scales. 【Methods】 The spatiotemporal patterns of meteorological drought characteristics in the Yellow River Basin from 1950 to 2020 were evaluated by calculating the Standardized Precipitation Index(SPI), Standardized Precipitation Evapotranspiration Index(SPEI), and Self-Calibrating Palmer Drought Severity Index(sc-PDSI) at different time scales. A drought clustering method based on Self-Organizing Feature Map(SOM) was proposed to analyze the relationships and discrepancies among various drought indices. 【Results】 From 1950 to 2020, significant upward trends in SPI, SPEI and sc-PDSI values were observed in the source and upper reaches of the Yellow River Basin, whereas downward trends were detected in the middle and lower reaches. These findings indicated a mitigation of meteorological drought conditions in the upper reaches of the Yellow River Basin, contrasted with an intensification of drought in the middle and lower reaches. The meteorological drought patterns in the Yellow River Basin exhibited significant spatial heterogeneity. The source and upper reaches were marked by low frequency, long duration, and high intensity, whereas the middle and lower reaches were characterized by high frequency, short duration, and low intensity. The selection of drought indices significantly influenced the assessment outcomes of meteorological drought in the Yellow River Basin. As the number of cumulative months increased, the SPEI and SPI indices facilitated the identification of drought events characterized by low frequency, long duration, and low intensity. 【Conclusion】 Against the backdrop of warming and wetting in Northwest China, meteorological drought in the Yellow River Basin from 1950 to 2020 exhibited a pattern of mitigation in the upper reaches and intensification in the middle and lower reaches. The degree of this variation is closely related to the selection of drought indices.
Landscape Ecological Risk Assessment of Henan Section of Yellow River Basin Based on Land Use Change
XING Yidan;HUA Yufeng;TANG Lei;WANG Fuqiang;ZHANG Honglu;DU Yutian;SHI Jiahao;North China University of Water Resources and Electric Power;【Objective】As an essential ecological barrier and agricultural base, the Henan section of the Yellow River Basin plays a critical role in regional development in terms of ecological security and sustainable land resource utilization. This study aims to analyze the characteristics of land use change from 1990 to 2020, assess the spatiotemporal evolution of landscape ecological risks, and explore their correlation with land use changes, thereby providing scientific support for ecological conservation, landscape pattern optimization, and land resource management in the Henan section of the Yellow River Basin. 【Methods】Based on remote sensing images from four time periods(1990, 2000, 2010, and 2020), land use types were interpreted and their conversion characteristics were analyzed. A landscape ecological risk assessment model was constructed at the basin scale. Spatial autocorrelation analysis was conducted to examine the spatiotemporal differentiation and clustering features of ecological risks, and the impact mechanisms of human activity disturbances on high-risk areas were explored. 【Results】(1) Land use changed significantly: from 1990 to 2020, large areas of cropland were converted to construction land, forests, grasslands, and water bodies, with conversion to construction land being the most prominent as its area doubled.(2) Overall landscape ecological risk declined, with the areas of relatively low and low-risk zones increasing year by year, while high, relatively high, and medium-risk zones saw significant reductions.(3) Spatial distribution of ecological risk exhibited positive spatial correlation, characterized by a pattern of ″large clusters, small dispersions″. The clustering of high-risk areas was mainly driven by landscape fragmentation resulting from human activities. 【Conclusion】The landscape ecological risk in the Henan section of the Yellow River Basin has generally improved, but the expansion of construction land and landscape fragmentation remain potential threats to ecological security. It is recommended to further optimize landscape patterns and achieve a balance between human activities and ecological conservation.
Trade-Off/Synergistic Effects of the ″Production-Living-Ecological″ Functions in Affected Areas of the Lower Yellow River Based on Ecosystem Services
LI Mengfan;WANG Qianxu;LIU Zhenyue;ZHOU Zhimin;ZHANG Pengyan;【Objective】 To provide important references for formulating targeted land use policies and implementing effective spatial zoning plans. 【Methods】 This study took the affected areas of the lower Yellow River as the study area. Based on the perspective of Production-Living-Ecological functions, it used multi-source data and applied the InVEST model, bivariate Pearson correlation analysis, and other methods to systematically assess the spatiotemporal evolution characteristics of the Production-Living-Ecological functions from 2000 to 2020. 【Results】 The spatiotemporal evolution patterns of the Production-Living-Ecological functions are clarified, and the trade-off/synergistic relationships among these functions are revealed. From 2000 to 2020, the production function(PF) and living function(LF) showed an upward trend, while ecological function(EF) showed a downward trend. The EF high value region showed a dynamic change of expansion followed by contraction. The PF high value region exhibited significant gradient differences, with a banded distribution. The LF high value region diffused significantly outward from multiple cores and exhibited spatial aggregation in each urban built-up area. 【Conclusion】 There were trade-off relationships between PF-EF, LF-EF, and PF-LF. The high trade-offs of PF-LF and PF-EF were mainly concentrated in the southern and northern plains, while the trade-offs of LF-EF mainly occurred in the high-altitude areas in the east and mountainous areas in the west.
Effect of Flow Velocity on Cell Growth and Mechanism Analysis of Cyclotella meneghiniana
ZHANG Jianwei;MA Hongdong;SONG Gangfu;ZHOU Zijun;GUO Sitong;ZHANG Chuanpu;【Objective】 Flow velocity is a significant factor influencing algal cell growth and represents an optimal environmental control factor for suppressing algal proliferation based on hydrodynamic principles. Revealing the growth patterns and influencing mechanisms of Cyclotella meneghiniana under different flow velocity conditions is of great significance for preventing algal blooms and exploring the mechanisms of phytoplankton growth under hydrodynamic stress. 【Methods】 This study selected Cyclotella meneghiniana cells, the dominant diatoms in the Henan section of the Middle Route of the South-to-North Water Transfer Project, as the research object. A flow velocity gradient environment ranging from 0.0 to 1.0 m/s was simulated using self-made experimental devices. By measuring algal cell density, specific growth rate, photosynthetic pigment content, alkaline phosphatase activity, and other indicators, the growth patterns and influencing mechanisms of Cyclotella meneghiniana under different flow rates were analyzed. 【Results】 Under the experimental conditions, the critical flow velocity of cells was 0.4 m/s, and its growth exhibited a ″low promotion and high inhibition″ pattern under different flow environments. At low flow velocity(0.0-0.4 m/s), increased contact frequency between algal cells and nutrients promoted the absorption of nutrients by algal cells. At high flow velocity(0.6-1.0 m/s), fluid shear stress caused varying degrees of mechanical damage to the cell structure, thereby inhibiting algal cell growth. 【Conclusion】 Flow velocity has a dual effect on the growth of Cyclotella meneghiniana cells; the critical flow velocity is closely related to the cells′ structural tolerance.
Spatiotemporal Dynamics of Vegetation NPP and Its Driving Factors in Yiluo River Basin
WANG Yueyu;LYU Junfeng;LI Zengyi;MU Wenbin;WAN Fang;North China University of Water Resources and Electric Power;【Objective】 To explore the response mechanism of vegetation net primary productivity(NPP) to climate change and human activities in the Yiluo River Basin, reveal its spatiotemporal variation patterns and driving factors, and provide scientific support for the formulation of watershed ecological protection strategies. 【Methods】 The Yiluo River Basin was selected as the study area. Based on the meteorological data, MODIS NDVI data and land use data from 2000 to 2020 in the study area, the improved CASA model was used to estimate the basin vegetation NPP. The spatiotemporal evolution characteristics of NPP were further analyzed by combining trend analysis, correlation analysis, GeoDetector method, and its main driving factors. 【Results】(1) The estimated NPP for different vegetation types in the Yiluo River Basin was reasonable, with a multi-year average total NPP of 10.77 TgC.(2) At the temporal scale, the total vegetation NPP showed an overall increasing trend from 2000 to 2020, with most areas showing a slight decreasing trend in the future. At the spatial scale, the differences in vegetation NPP were significant, showing a spatial variation pattern of high in the southwest and low in the northeast, and most areas of the basin showed an increasing trend in NPP, with the overall NPP remaining relatively stable.(3) The vegetation NPP increased by approximately 264.39×10-3 TgC, mainly caused by the conversion of cropland, grassland, and shrubs to woodland. 4 Land use was the dominant factor influencing the spatial pattern of vegetation NPP, and the interaction among different driving factors had an increasingly significant impact on its spatial variation. 【Conclusion】 The vegetation NPP in the Yiluo River Basin shows a slow overall increasing trend, mainly driven by the conversion of cropland to woodland.
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2025-07-03The Editorial Department Co-organized the "17th Forum on Water Science Development".
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