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Jeongeun Won, Jiyu Seo, Jeonghoon Lee, Jeonghyeon Choi, Yoonkyung Park, Okjeong Lee and Sangdan Kim
River runoff predictions in ungauged basins are one of the major challenges in hydrology. In the past, the approach using a physical-based conceptual model was the main approach, but recently, a solution using a data-driven model has been evaluated as mo...
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Yonghao Liu, Taohui Li, Wenxiang Zhang and Aifeng Lv
Root-zone soil moisture (RZSM) plays a key role in the hydrologic cycle and regulates water?heat exchange. Although site observations can provide soil profile moisture measurements, they have a restricted representation. Satellites can determine soil moi...
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Ming Li, Kefeng Liu, Hongchen Li, Yiyuan Sun, Xi Chen and Kefeng Mao
At present, some shortcomings of the research on coupling modeling of the oceanic front?sound field may need attention: (1) Most of the acoustic propagation simulation is based on ideal front models, but the application of investigated marine data is lac...
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Tesfalem Abraham, Yan Liu, Sirak Tekleab and Andreas Hartmann
Quantifying uncertainties in water resource prediction in data-scarce regions is essential for resource development. We use globally available datasets of precipitation and potential evapotranspiration for the regionalization of model parameters in the d...
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Kingsley Nnaemeka Ogbu, Oldrich Rakovec, Pallav Kumar Shrestha, Luis Samaniego, Bernhard Tischbein and Hadush Meresa
Hydrologic modeling in Nigeria is plagued by non-existent or paucity of hydro-metrological/morphological records, which has detrimental impacts on sustainable water resource management and agricultural production. Nowadays, freely accessible remotely sen...
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Xiaohui Sun, Chenglong Yu, Yanrong Li and Ngambua N. Rene
The purpose of this paper was to produce the geological hazard-susceptibility map for the Changbai Mountain area affected by volcanic activity. First, 159 landslides and 72 debris flows were mapped in the Helong city are based on the geological disaster ...
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Abubakar Haruna, Pierre-André Garambois, Hélène Roux, Pierre Javelle and Maxime Jay-Allemand
We compare three hydrological models of different complexities, GR4H (lumped, continuous), SMASH (distributed, continuous), and MARINE (distributed, event-based), for Mediterranean flash flood modeling. The objective was to understand how differently the...
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Zhenkai Yang, Yixin Hua, Yibing Cao, Xinke Zhao and Minjie Chen
As a new product of the Internet and big data era, migration data are of great significance for the revealing of the complex dynamic network patterns of urban agglomerations and for studying the relations between cities by using the ?space of flows? mode...
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Huanglei Pan, Xiaolong Yu, Dishi Liu, Dalin Shi, Shengyun Yang and Weiran Pan
A physical?biological ocean model was employed to investigate characteristics of the Beibu Gulf in the northwest South China Sea (SCS) from 2011 to 2015. We adopted the spatially constrained multivariate clustering method to determine the refined marine ...
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Georgy Ayzel, Liubov Kurochkina, Dmitriy Abramov and Sergei Zhuravlev
Gridded datasets provide spatially and temporally consistent runoff estimates that serve as reliable sources for assessing water resources from regional to global scales. This study presents LSTM-REG, a regional gridded runoff dataset for northwest Russi...
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