Performance Evaluation of CLM5 in Simulating Evapotranspiration over Pearl River Basin by WANG Dayang

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Simulative Study of Hydrological Reaction of Land Cover Variation in Dongjiang River Basin by SHI Bin-bin, DONG Yan-jun, LI Jie

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Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka by Helani Perera, Shalinda Fernando, Miyuru B. Gunathilake, T. A. J. G. Sirisena, Upaka Rathnayake

“…Hence, these SRPs should essentially be validated beforehand. The Mahaweli River Basin (MRB), the largest river basin in Sri Lanka, is the heart of the country’s water resources contributing to a significant share of the hydropower production and agricultural sector. …”
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Assessment of eutrophication in the Berdan River Basin (Türkiye) using various classification tools by Özbay Özgür, Akçay İsmail, Alp Mehmet Tahir, Göksu Münir Ziya Lugal

“…The trophic status of the Berdan River Basin was determined using univariate and multivariate classification tools. …”
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Development of Mapping Techniques in Water Conservancy and Hydroelectricity Projects in Pearl River Basin by HE Bao-gen, LI Qi, WANG Xiao-gang

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Drought Prediction Model of Pearl River Basin Based on SST and Machine Learning by FENG Xin, LIU Yanju, TONG Hongfu, QIAN Shuni

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Application of MIKE Software to Water Resources Management and Planning in Pearl River Basin by LIU Jun-yong, ZHANG Yun, CUI Shu-bin

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Study on the Transfer Threshold from Meteorological to Hydrological Drought in Dongjiang River Basin by MO Xiaomei, TU Xinjun, WANG Tian, XIE Yuting, ZHAO Guoyang

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Characteristic Analysis and Prediction of Rainfall and Runoff in Ankang Section of Hanjiang River Basin by LIU Yiwen, LI Jiake, DING Qiang, HAO Gairui

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Trans-provincial Rivers Water Conflicts in Pearl River Basin and Probe into Solutions by ZHUANG Jia, ZHANG Jiong, LAI Wan-an, ZHANG Qiang

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Spatio-Temporal Simulation of Hydrological Elements and Disaster Causes in Beijiang River Basin by ZHANG Kangtao, LEI Weidong

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Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China by Dan Zhang, Wensheng Wang, Shuqi Liang, Shunjiu Wang

“…Based on gauged daily precipitation from 1963 to 2016 in four subregions of the Jinsha River Basin (JRB), four extreme precipitation indices developed by the Expert Team on Climate Change Detection and Indices (ETCCDI) were employed to assess the spatiotemporal variations of extreme precipitation events. …”
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Analysis of the spatiotemporal evolution of birth rates and influencing factors in the Yangtze River Basin. by Xiujuan Jiang, Qianhua Pan, Wei Xu, Jingyuan Sun, Sicheng Chen

“…However, there are few studies on spatial distribution and influencing factors of birth rate in the Yangtze River Basin. In this study, data from 11 regions of the Yangtze River Basin from 2006 to 2023 were used to analyze the spatial and temporal distribution characteristics of birth rates using GIS spatial visualization and four-quadrant diagram. …”
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Analysis of Distribution and Influencing Factors of Three-Nitrogen in Groundwater of the Liuxi River Basin by PANG Yuan, ZENG Hui, ZHANG Mingzhu, ZHUO Quanlong, GUO Zhengguo

“…Based on the monitoring data of 28 sampling points in the study area from 2012 to 2018,the distribution characteristics and influencing factors of groundwater three nitrogen in Liuxi River Basin were analyzed.The results showed that the mass concentrations of ammonia nitrogen,nitrate nitrogen and nitrite nitrogen in groundwater in the study area showed a downward trend with time,and the annual decreasing ranges were 0.220,0.120 and 0.001 mg/L,respectively;the mass concentrations of ammonia nitrogen and nitrate nitrogen in the middle reaches were 1.1 and 1.6 times higher than those in the lower reaches,respectively;the average mass concentrations of ammonia nitrogen,nitrate nitrogen and nitrite nitrogen in bedrock fissure water were 3.2,0.1 and 0.7 times of that in loose rock pore water,respectively;the correlation degree of ammonia nitrogen and pesticide and fertilizer application was greater,the correlation degree of nitrate nitrogen and nitrite nitrogen and waste water discharge was greater;and three-nitrogen was affected by rainfall to a certain extent,but the correlation was poor;ammonia nitrogen and nitrate nitrogen were closely related to the redox condition and runoff condition of groundwater.…”
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CLIMATE CHANGE IMPACT UPON WATER RESOURCES IN THE BUZĂU AND IALOMIŢA RIVER BASINS by RODICA PAULA MIC, CIPRIAN CORBUŞ, ARISTIŢA BUSUIOC

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Geochemical Characterization of Spring Waters in the Crati River Basin, Calabria (Southern Italy) by Simona Gaglioti, Ernesto Infusino, Tommaso Caloiero, Giovanni Callegari, Ilaria Guagliardi

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Approval of State Council to Pearl River Basin Flood Control Planning Scheme

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Heavy metal contamination and eutrophication effects on bacterial communities in the Han River basin by Fei Xiong, Cejia Yao, Dongdong Zhai, Hongyan Liu, Wang Dong, Yuanyuan Chen

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Ecological Compensation Standard and Influencing Factors of Water Resources in Yellow River Basin by ZHANG Min, ZHANG Yu, TIAN Qing, WANG Mengfan, LIU Hanyue

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Runoff Simulation of Dadu River Basin Based on CORDEX Regional Climate Models by PAN Zhangrong, GUO Junhong, FU Zhenghui, WANG Shuhang, LI Wei, CHEN Zhuo, QING Hui

“…Studying the prediction of the runoff in Dadu River Basin under climate changes can effectively improve the future utilization rate of the water resources in this basin and provide a reference for hydropower dispatching.Specifically,stepwise clustering analysis is performed to correct and verify the 1970—2005 data of six coordinated regional climate downscaling experiment (CORDEX) regional climate models and thereby simulated the climate change trend of Dadu River Basin during 2030—2065.Then,an annual-scale Soil & Water Assessment Tool (SWAT) model of Dadu River Basin was built and calibrated and verified by SWAT-CUP.Finally,the corrected meteorological data of the future period were used to drive the SWAT model and ultimately to forecast the future runoff in Dadu River Basin.The results show that in this basin,precipitation will change slightly,and the maximum temperature and the minimum temperature will increase on the whole under future representative concentration pathway (RCP) 4.5 and RCP8.5 scenarios.The future runoff will roughly assume an increasing trend,and the runoff fluctuation trend before and after 2050 will be inconsistent.In other words,the runoff change is small before 2050,whereas the trend of runoff change under both scenarios becomes significantly larger,suggesting higher uncertainties in the prediction of the runoff in this basin.…”
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