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Joel Hernández-Bedolla, Liliana García-Romero, Chrystopher Daly Franco-Navarro, Sonia Tatiana Sánchez-Quispe and Constantino Domínguez-Sánchez
Precipitation is influential in determining runoff at different scales of analysis, whether in minutes, hours, or days. This paper proposes the use of a multisite multivariate model of precipitation at a daily scale. Stochastic models allow the generatio...
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Michael Kissel, Michael Bach and Britta Schmalz
So far, research with the hydrological model BlueM.Sim has been focused on reservoir management and integrated river basin modeling. BlueM.Sim is part of the official toolset for estimating immissions into rivers in Hesse (Germany) via long-term continuo...
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Estela García-Botella and Alfredo Ramón-Morte
Many ephemeral Mediterranean watercourses are affected by the growth of tourism and the demand for holiday homes. Calculating the runoff threshold in these small basins is vital for understanding the impact generated by urban growth and its incidence on ...
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Qian Cao, Jiashun Cao and Runze Xu
Low-impact development (LID) practices have been recognized as a promising strategy to control urban stormwater runoff and non-point source pollution in urban ecosystems. However, many experimental and modeling efforts are required to tailor an effective...
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Maoqing Duan, Qi Liu, Yu Zhang, Feiyan Yuan, Xianzhi Meng, Shilu Zhang and Jun Zhang
The background values of pollutants are becoming increasingly prominent in evaluating water quality and management, and their load and output characteristics are of great significance to the study of changes in the background values. Thus, this paper stu...
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Xin Huang and Lin Qiu
Exploring the relationship between runoff and sediment elements in a river basin is a prerequisite for realizing the scientific management scheme of runoff and sediment. In this study, six commonly applied probability distributions are utilized to fit th...
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Sheng He, Geng Niu, Xuefeng Sang, Xiaozhong Sun, Junxian Yin and Heting Chen
Accurate and reliable discharge estimation plays an important role in water resource management as well as downstream applications such as ecosystem conservation and flood control. Recently, data-driven machine learning (ML) techniques showed seemingly i...
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Chang-Young Ha, Beom-Jin Kim, Jae-Nam Lee and Byung-Hyun Kim
In this study, the sensitivity of the parameters was analyzed using PEST (Parameter ESTimation) to improve the accuracy of the runoff and flooding analysis in urban areas. Using four parameters (watershed width, roughness coefficient of impervious and pe...
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Shiva Gopal Shrestha and Soni M. Pradhanang
The general practice of rainfall-runoff model development towards physically based and spatially explicit representations of hydrological processes is data-intensive and computationally expensive. Physically based models such as the Soil Water Assessment...
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Zoran Kovac, Vedran Krevh, Lana Filipovic, Jasmina Defterdarovic, Borna-Ivan Bala? and Vilim Filipovic
This paper presents research related to the estimation of the precipitation fraction in the soil water of a sloped vineyard at the SUPREHILL Critical Zone Observatory (CZO) in Zagreb, Croatia. Numerous investigations have shown that exploration of hillsl...
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