Introduction to the Hydrologic Gauging and Reporting Information Management System of the Pearl River by 纪力波

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Climate change and its impacts on hydrological regimes over the Bengal delta by M.H. Ali, P. Biswas, S.M.Q. Hassan, M.A. Islam

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Calculation of the Instream Ecological Flow of the Wei River Based on Hydrological Variation by Shengzhi Huang, Jianxia Chang, Qiang Huang, Yimin Wang, Yutong Chen

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Analysis of Hydrologic Characteristics and Evolution Trend in the Pearl River Source Region by DAI Xing-lan

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Interpolation of Missing Precipitation Data Using Kernel Estimations for Hydrologic Modeling by Hyojin Lee, Kwangmin Kang

“…Precipitation is the main factor that drives hydrologic modeling; therefore, missing precipitation data can cause malfunctions in hydrologic modeling. …”
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Analysis of Hydrologic and Hydraulic Computation of Drainage Plan for Fuchong Industrial Zone by YE Lin-yi

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Accumulation Characteristics and Hydrological Effects of Litter in Mixed Robinia pseudoacacia Plantations by CAO Zetao, DENG Yangxu, TIAN Jing, WANG Bing, LIU Guobin, YANG Yanfen

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Pearl River Basin Hydrological Station Network Analysis and Improvement Prospect by SHEN Hong-jin

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Study on Hydrological Drought Forecasting Based on SWAT Model and ESP Thought by SUN Long, LI Meng

Subjects: “…hydrological drought…”
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Flash flood simulation based on distributed hydrological model in future scenarios by Qi Liu, Nan Zhang, Lingling Wang, Kunxia Yu, Jiayi Wu, Jingqi Wang, Meihong Ma, Meihong Ma

“…Extreme rainfall events are frequent, particularly in economically underdeveloped hilly areas, where conventional hydrological models struggle to accurately simulate the formation of flash floods. …”
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Design of Hydrological Telemetry System Based on NB-IoT Communication Technology by ZHANG Xinmeng, LIU Shuyang, WANG Canhui

Subjects: “…hydrological telemetry system…”
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Applicability Analysis of Machine Learning Model in Hydrological Forecasting in Karst Areas by ZHAO Zejin, SUN Wei, ZHOU Bin, ZHANG Xuan, WANG Gaoxu, WU Wei, LI Wenjie, YAO Ye

“…For hydrological forecasting in karst areas,existing research mainly uses hydrological models based on physical mechanisms,while rare research focuses on machine learning models.To explore the applicability of machine learning models in karst areas, this paper utilizes the LSTM model and random forest model to simulate the daily runoff and field floods at Tangdian hydrological station,using the Shadian River basin in Yunnan Province as the study area.The modified Xin'anjiang model for karst areas is taken as a reference.The results show that both the machine learning model and the modified Xin'anjiang model have achieved good results in simulating the daily runoff process, with the LSTM model showing better simulation results.In the simulation of floods,the modified Xin'anjiang model achieves Class A forecast accuracy.The machine learning models have better forecast results for the 6-hour forecasting period than the modified Xin'anjiang model,while the forecast results for the 24-hour forecasting period do not meet the accuracy requirements of the forecast operation.The study provides a reference for hydrological forecasting in karst areas by studying the characteristics and forecasting accuracy of two machine learning models and a hydrologic model.…”
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Research on Application of Argonaut-SL Flow Gauge in Makou Hydrologic Station by LI Zhi-min

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Modeling the Hydrological Process of the Genale Dawa-3 Dam Watershed, Ethiopia by Ashenafi Dechasa, Wakjira T. Dibaba, Alemu O. Aga, Mezgebu Geme Worku, Miliyon Dida Feye, Firaol Bedada Kopesa, Bekele Terefe Gebisa, Brook Legese, Amare Tura Abate

“…Watershed hydrology comprehension is fundamental to the efficacious management of water resources and the formulation of sustainable solutions. …”
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Modeling of the flow time series for a short-term hydrological forecast by Tomasz Jarosław Siuta

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Hydrological Drought Analysis using Streamflow Drought Index (SDI) in Ethiopia by Kassa Abera Tareke, Admasu Gebeyehu Awoke

“…This study was focused on hydrological drought analysis in Ethiopia using the streamflow drought index (SDI). …”
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Copula-based Joint Probability Behaviors of Hydrological Extremes in the Beijiang River by LI Jian-feng, ZHANG Qiang, LIU Chun-Ling

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Brief Description and Thinking of Hydrologic Gauging and Reporting Technology in U.S.A. by 贺国庆, 周刚炎, 张红月, 崔玉兰

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Triggering thresholds and influential factors in the propagation of meteorological drought to hydrological drought by Na Zhen, Rui Yao, Peng Sun, Qiang Zhang, Chenhao Ge, Han Shen

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Hydrological Alteration in Dongjiang River Basin and its Effects on Ecological Environment by LI Xing-pin, ZHENG Jiang-li, HE Xin-chun

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