Study on the Spatial and Temporal Differences of Water Poverty in the Yellow River Basin and Its Influencing Factors by WANG Shuhe

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Standardized Water Budget Index and Validation in Drought Estimation of Haihe River Basin, North China by Shaohua Liu, Denghua Yan, Hao Wang, Chuanzhe Li, Baisha Weng, Tianling Qin

“…In addition, all of drought indices show a decreasing trend in Haihe River Basin, possibly due to the decreasing precipitation from 1961 to 2010. …”
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Pearl River Basin Urban Drinking Water Source Area Safety Situation and Guarantee Measures by XIE Hongxu

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Kurgans of the Sargat Culture in the Middle Irtysh River Basin: New Approaches in Estimation of Social Landscape by Maxim A. Grachev, Oksana Yu. Zimina, Nickolay V. Prikhodko, Svetlana V. Sharapova

Subjects: “…middle irtysh river basin…”
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Study on heavy metal migration characteristics with runoff sediment of polymetallic mine in Beijiang River basin by CHEN Jia-dong, XIE Li, CHEN San-xiong, TAO Dong-hai, LIAO Jian-wen, CHEN Wen-bing

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Dynamic Simulation of the Supply and Demand of Ecosystem Windbreak and Sand Fixation Service in the Wuding River Basin by Xuanchen Xiong, Zixiang Zhou, Xiaofeng Wang, Jing Li

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Attribution of the Climate and Land Use Change Impact on the Hydrological Processes of Athabasca River Basin, Canada by Sharad Aryal, Mukand S. Babel, Anil Gupta, Babak Farjad, Dibesh Khadka, Quazi K. Hassan

“…This study focused on the Athabasca River Basin (ARB), Canada, and investigated how the basin responded to their changes using the MIKE SHE-MIKE Hydro River. …”
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Quantitative Assessment of Soil and Water Loss in the Nanpan and Beipan River Basins Based on CSLE Model by LIU Xiaolin, SHI Yandong, ZENG Xiaolei, HUANG Hairong, YIN Bin

Subjects: “…the Nanpan and Beipan River basins…”
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The Spatio-Temporal Evolution and Sustainable Development Strategy of Huizhou’s Traditional Villages in the Xin’an River Basin by Wei Wang, Anqi Liu, Xiaoxiao Xu

Subjects: “…Xin’an River Basin…”
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Distribution and Identification of Sources of Heavy Metals in the Voghji River Basin Impacted by Mining Activities (Armenia) by A. V. Gabrielyan, G. A. Shahnazaryan, S. H. Minasyan

“…The results of statistical analysis based on data sets of the period 2014–2016 showed that, after the influence of drainage water and wastewater of mining regions, heavy metal contents in the Voghji River basin dramatically increased. The waters of the Voghji River were highly polluted by Mn, Co, Cu, Zn, Mo, Cd, and Pb. …”
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Characteristics of Runoff Variation of Heishui River Basin in the Upper Reach of Minjiang River in Changing Environment by WANG Ning, WANG Wensheng, YU Siyi

“…This paper systematically analyzed the variation characteristics of runoff in the Heishui River Basin,the first tributary on the right bank upstream of Minjiang River,in a changing environment.The variation characteristics of runoff series were studied by using an improved heuristic segmentation algorithm,Mann-Kendall trend test,R/S analysis and wavelet analysis with the runoff data of Shaba hydrological station from 1960 to 2015.The results show the followings:① The abrupt change of annual runoff occurred in 1995.② The annual runoff showed a significant decrease trend with a decreasing rate of 0.32 m³/(s·a) in the past 56 years and may keep the decrease trend in the future.During 1960—1995,the annual runoff showed an insignificant decrease trend with a decreasing rate of 0.12 m³/(s·a),and the period of 1996—2015 witnessed an insignificant increase trend with an increasing rate of 0.80 m³/(s·a).③ Under the influence of environmental changes,the average annual runoff before the change point was larger than that after the point,whereas the inter-annual variation was smaller before the abrupt change.The intra-annual distribution form showed a double-peak curve before 1995 and a single-peak curve after 1995.The intra-annual variation range of runoff was significantly different before and after the change point,which could reduce flood control pressure in the basin but was not conducive to the utilization of water resources in non-flood seasons.④Annual runoff had multi-time-scale variation characteristics.During 1960—2015,the annual runoff had noticeable periods of 6 years,16 years and 28 years.Periods of 7 years and 16 years were found for 1960—1995 and 2 years and 5 years for 1996—2015.…”
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Fulfilling the Flood Control and Drought Relief Task and Sustaining the Harmonious Development in the Pearl River Basin by LIU Ning

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DNA barcoding highlights taxonomic uncertainties and cryptic lineages of São Francisco River basin fishes by Denis Bruno Santos Marques Nunes, Alany Itala Pontes, Leandro Ferreira dos Santos, Leonardo Luís Calado, Luciano Freitas Barros-Neto, Silvia Yasmin Lustosa-Costa, Sergio Maia Queiroz Lima, Uedson Pereira Jacobina

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Conflicting stakes and governance relating to the co-management of salmon in the Columbia river basin (U.S.A.) by Nicolas Barbier 

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Innovative Technologies for Studying the Impact of Climate Change on River Basins in the Guba-Khachmaz Region of Azerbaijan by Huseynova Gumru, Valiyeva Asmar, Tahmezli Elvira, Surkhayli Sanan, Tahmezli Matanat

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Analysis of Spatiotemporal Variation of NDVI in Pearl River Basin and Its Driving Force Based on Geodetector by WANG Ruiqing, JIANG Xiaohui, NIE Tong

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Vaccine Prophylaxis of Pneumococcal Infections in Children under Conditions of Severe Flood in the Amur River Basin by Aleksandr G. Chuchalin, Gennadiy G. Onishchenko, Victor P. Kolosov, Olga P. Kurganova, Tatiana A. Zaitseva, Leonid G. Manakov, Galina N. Kholodok, Juliy M. Perelman, Roman S. Kozlov, Natalia M. Ivakhnishina, Olga E. Trotsenko, Albina P. Bondarenko

“…The flood in the Amur river basin in the summer of 2013 created a special zone and risk conditions for the formation of respiratory pathology in the Far-Eastern region of Russia. …”
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Research on Monthly Runoff Forecast in Beijiang River Basin Based on Multi-model Ensemble Method by ZHONG Yixuan, LIAO Xiaolong, QUAN Xujian, YI Ling, CHEN Yan, LI Yuanyuan, XUE Jiao

“…The accuracy of the monthly runoff forecast plays a fairly important role in aspects such as optimal allocation of water resources,flood control and drought relief in a basin,water dispatching,and power generation optimization of reservoir groups.The commonly used methods for the monthly runoff forecast mainly include water balance models,mathematical statistics models,and artificial neural networks.Studies have shown that any single model cannot achieve the optimal monthly runoff forecast.Therefore,the multi-model ensemble method provides an effective way to eliminate model uncertainty and improve the accuracy of the monthly runoff forecast.Specifically,the research takes Pingshi,Lishi,Hengshi,and Shijiao stations in the Beijiang River Basin as the research object to analyze and compare the effects of the seasonal auto-regressive (SAR) model,two-parameter monthly water balance (TPMWB) model,and artificial neural network (ANN) model.Then,the multi-model ensemble method for the above-mentioned stations is proposed on the basis of the Bayesian model averaging (BMA) method.The research results reveal that compared with any of the three models,the multi-model ensemble method has significantly improved the accuracy of the monthly runoff forecast with a higher determination coefficient (DC) and a lower mean absolute percentage error (MAPE),and thus it can provide better support for decisions in dispatching in the basin.…”
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Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin by LIN Sinuo, ZHANG Yinchi, SUN Shao, GUAN Xiaojun, JIANG Caiying, GAO Lu

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Identification of Water Scarcity and Providing Solutions for Adapting to Climate Changes in the Heihe River Basin of China by Xiangzheng Deng, Chunhong Zhao

“…In ecologically fragile areas with arid climate, such as the Heihe River Basin in northwestern China, sustainable social and economic development depends largely on the availability and sustainable uses of water resource. …”
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