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Carlo Giudicianni, Mohammed N. Assaf, Sara Todeschini and Enrico Creaco
This paper presents a comparative analysis of two hydrological models in the Storm Water Management Model (SWMM) software, namely, the non-linear reservoir (N-LR) and the unit hydrograph (UH), on the urban catchment of Cascina Scala, Pavia in Italy. The ...
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Walter Chen, Kieu Anh Nguyen and Yu-Chieh Huang
Soil erosion is a complex process involving material detachment, transportation (mainly by water, occasionally by wind), and eventual deposition when energy wanes. Human activities like tillage and construction can exacerbate soil erosion. Various forms ...
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Mulugeta Admas, Assefa M. Melesse, Brook Abate and Getachew Tegegne
Modeling soil erosion, sediment yield, and runoff are crucial for managing reservoir capacity, water quality, and watershed soil productivity. However, the monitoring and modeling of soil erosion and sedimentation rates in developing countries such as Et...
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Muhammad Tayyab, Ijaz Ahmad, Na Sun, Jianzhong Zhou and Xiaohua Dong
Consistent streamflow forecasts play a fundamental part in flood risk mitigation. Population increase and water cycle intensification are extending not only globally but also among Pakistan’s water resources. The frequency of floods has increased i...
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Ting Wang, Guohua Fang, Xinmin Xie, Yu Liu, Zhenzhen Ma
Pág. 1 - 19
In this paper, a multi-dimensional equilibrium allocation model of water resources was developed based on the groundwater multiple loop iteration technique. The proposed model is an integrated framework of three modules respectively corresponding to the ...
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Chun-Feng Hao, Jun Qiu and Fang-Fang Li
With the rapid economic growth in China, a large number of hydropower projects have been planned and constructed. The sediment deposition of the reservoirs is one of the most important disputes during the construction and operation, because there are man...
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Xuehua Zhao, Xu Chen, Yongxin Xu, Dongjie Xi, Yongbo Zhang, Xiuqing Zheng
Pág. 1 - 17
Accurate forecasting of annual runoff is necessary for water resources management. However, a runoff series consists of complex nonlinear and non-stationary characteristics, which makes forecasting difficult. To contribute towards improved prediction acc...
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Chien-Lin Huang, Nien-Sheng Hsu and Chih-Chiang Wei
This study applies Real-Time Recurrent Learning Neural Network (RTRLNN) and Adaptive Network-based Fuzzy Inference System (ANFIS) with novel heuristic techniques to develop an advanced prediction model of accumulated total inflow of a reservoir in order ...
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Chun-tian Cheng, Wen-jing Niu, Zhong-kai Feng, Jian-jian Shen and Kwok-wing Chau
Accurate daily runoff forecasting is of great significance for the operation control of hydropower station and power grid. Conventional methods including rainfall-runoff models and statistical techniques usually rely on a number of assumptions, leading t...
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