An LSTM approach to deciphering irrigation operations from remote sensing and groundwater levels records by Shiqi Wei, Tianfang Xu

“…This framework enables allocation of long-term irrigation amounts to individual events, allows hydrologic models to assimilate irrigation dataset to assess irrigation impacts, and improves irrigation behavior representation in water resources management.…”
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Future Changes in Surface Runoff over Korea Projected by a Regional Climate Model under A1B Scenario by Ji-Woo Lee, Suryun Ham, Song-You Hong, Kei Yoshimura, Minsu Joh

“…Furthermore, this study reflects that global warming affects local hydrological cycle by changing major water budget components. …”
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Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms by Anongrit Kangrang, Haris Prasanchum, Rattana Hormwichian

“…The Ubolrat Reservoir located in the northeast region of Thailand was an illustrative application including historic monthly inflow, future inflow generated by the SWAT hydrological model using 50-year future climate data from the PRECIS regional climate model in case of B2 emission scenario by IPCC SRES, water demand, hydrologic data, and physical reservoir data. …”
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Multi-objective Optimization of Combined Gray-green Infrastructure Rainwater System for Yuhuazhai Depot of Xi’an Metro by LYU Jiajie

“…［Method］ Based on the rainwater management concept by combining gray infrastructure and green infrastructure, the hydrological simulation software SWMM (storm water management model) is used to simulate the hydrological processes under various combination schemes for Yuhuazhai Depot of Xi’an Metro Line 3. …”
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Flood Simulation Analysis of the Biliu River Basin Based on the MIKE Model by Qi Liu, Dianwu Wang, Yulong Zhang, Li Wang

“…The results show that flood disasters are expected to occur in August 2020, July 2025, and July 2030, which can provide a basis for hydrological management in the Biliu River Basin.…”
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The formation mechanism of geological disasters on loess fill slopes revealed by the deformation characteristics of remolded loess under different stress paths by Shuran Meng, Shuran Meng, Dunyu Lv, Dunyu Lv, Ru Liu, Mancang Yu, Mancang Yu, Jianyu Zhang, Jianyu Zhang

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How Does Heavy Precipitation of Varying Durations Respond to Urbanization in China? by Xue Xie, Kairong Lin, Mingzhong Xiao, Xudong Zhou, Gang Zhao, Dai Yamazaki

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Spatiotemporal dynamics of soil organic carbon in desert region and its response to climate change: A case study of Heihe river by Yuqing Chen, Haiyang Xi, Wenju Cheng

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Environmental Consequences of Water Withdrawals and Drainage of Wetlands by Alan L. Wright

“…Wright, educates the general public about how hydrologic conditions, such as drought and water withdrawal, influence the functioning and benefits of wetland ecosystems. …”
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Environmental Consequences of Water Withdrawals and Drainage of Wetlands by Alan L. Wright

“…Wright, educates the general public about how hydrologic conditions, such as drought and water withdrawal, influence the functioning and benefits of wetland ecosystems. …”
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Study on Applicability of Xin'anjiang Model and Tank Model in Flood Forecasting in Majiagou Reservoir by MA Jinghang, XIAN Yongcai, HE Xueping, LIU Ming, HAN Muyuan, DU Bailin, RUAN Bingnan, XU Liujia, WU Lei

“…Flood forecasting is one of the important non-engineering flood control measures and is the main basis for flood control command and decision-making.In order to avoid the uncertainty of the prediction results of a single model,the Majiagou Reservoir in Chenggu County was taken as the object to simulate the daily runoff and flood process from 2019 to 2021 by using the Xin'anjiang model and tank model respectively,and the simulation results and accuracy of the two models were compared by using the model parameters calibrated and optimized by the genetic algorithm.In the daily runoff simulation,the simulation effect of the tank model is better than that of the Xin'anjiang model,with a relative error of flood volume of less than 16%,a relative error of flood peak of less than 4%,a difference of peak time of less than 1 h,and a Nash-Sutcliffe efficiency coefficient of greater than 0.58,all of which meet the evaluation accuracy requirements of the Standard for Hydrological Information and Hydrological Forecasting,and the simulation effect of deluge in the reservoir is ideal.In the flood process simulation,the difference of peak time between the two models is similar;the simulation effect of the Xin'anjiang model is smoother,and the flood volume and flood peak simulated by the tank model are closer to the measured flow process.On the whole,the tank model is more suitable for flood forecasting in Majiagou Reservoir than the Xin'anjiang model.…”
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Analysis of the Effect of Precipitation Type on Flow Simulation in Talar and Khoramabad Watershed by Mohammad Golshan, Abdollah Pirneia, Payam Ebrahimi, Abazar Esmali Ouri

“…Using a model with integrity and high performance to simulate the hydrological process in deferent watersheds is very important. …”
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Drought Analysis in the Asi Basin (Turkey) by Mehmet Dikici

“…For this purpose, meteorological, hydrological and hydrogeological data between 1970 and 2016 were considered. …”
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Study on Temperature Field Evolution and Frozen Wall Closure Judgment Criteria of Inclined Shaft under Inclined Holes Freezing Condition by Chi Zhang, Yu Zhang, Weihao Yang, Haipeng Li, Quan Lu

“…A new judgment criterion of frozen wall closure based on the water pressure of the axial hydrological pipe is recommended. In all, this paper has an enlightenment significance for understanding the evolution of the soil temperature field, and predicting the frozen wall closure time in applications of the inclined holes freezing method for the inclined shaft.…”
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Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources by Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar

“…Modern machine learning methods increasingly outperform their process-based and empirical model counterparts for hydrologic time series prediction with their ability to extract information from large, diverse data sets. …”
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Natural and anthropogenic factors controlling organic carbon storage in riverine wetlands along South Korea’s four rivers by Sang-Leen Yun, Terrence A. McCloskey, Marcelo C. L. Cohen, Kam-biu Liu, Hae-Seon Shin, Junghyung Ryu

“…This study highlights the critical role of geomorphological and hydrological processes in enhancing wetland carbon storage and mitigating carbon emissions.…”
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Research on Medium and Long-Term Runoff Forecast of Xijiang River in Dry Season Based on Statistical Model by LAN Yuxi, ZHANG Yin, NONG Zhenchang, WEI Yongjiang

“…Accurate medium and long-term runoff forecast is of great guiding significance to the development and utilization of water resources,allocation optimization,and water dispatch.Based on the three statistical models of mean generating function,periodic analysis,and multiple stepwise regression,this paper studied the medium and long-term runoff forecast of the Longtan Reservoir in the upper reaches of the Xijiang River and the Wuzhou hydrological station in the lower reaches from October to March of the following year and during the entire dry season (six months,from October to March of the following year).The results show that the three models all present positive forecast results.In the calibration and verification periods,the average pass rate exceeds 75%,and the mean absolute percentage error is basically within 30%.The forecast accuracy of the mean generating function and the multiple stepwise regression is significantly higher than that of the periodic analysis,with smaller forecast errors in larger values.Multiple stepwise regression is more stable than the other two models.Furthermore,affected by the consistency of data,the forecast accuracy of the Longtan Reservoir is significantly higher than that of the Wuzhou hydrological station.On the whole,multiple stepwise regression has the optimal forecast effect in the Xijiang River Basin.In addition,it can maintain high forecast accuracy at all levels and stages and provide a valuable reference for water dispatch decisions in the basin.In the future,multi-model fusion can be used to further improve the forecast effect.…”
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Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm by Mei Hong, Ren Zhang, Dong Wang, Longxia Qian, Zhenghua Hu

“…Prediction in Ungauged Basins (PUB) is an important task for water resources planning and management and remains a fundamental challenge for the hydrological community. In recent years, geostatistical methods have proven valuable for estimating hydrological variables in ungauged catchments. …”
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Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China by Junzhi Liu, Zheng Duan, Jingchao Jiang, A-Xing Zhu

“…For precipitation intensities larger than or equal to 25 mm, RMSE% of CMORPH and TRMM 3B42 were less than 50%, indicating CMORPH and TRMM 3B42 might be useful for hydrological applications at daily scale. At monthly and annual temporal scales, TRMM 3B42 had the best performances, with high R2 ranging from 0.93 to 0.99, and thus was deemed to be reliable and had good potential for hydrological applications at monthly and annual scales. …”
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Predictive Contributions of Snowmelt and Rainfall to Streamflow Variations in the Western United States by Xiaohui Zheng, Qiguang Wang, Lihua Zhou, Qing Sun, Qi Li

“…These findings could be considered a reference both for seasonal predictions of streamflow and for prevention of hydrological disasters. Furthermore, they will be helpful in the evaluation and improvement of hydrological and climate models.…”
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