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Doddi Yudianto, Bobby Minola Ginting, Stephen Sanjaya, Steven Reinaldo Rusli and Albert Wicaksono
This paper introduces a new simple approach for dam-break hazard mapping in a data-sparse region. A hypothetical breaching case of an earthen dam, i.e., the Ketro Dam in Central Java, (Indonesia) was considered. Open-access hydrological databases, i.e., ...
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Xinqiang Du, Xiangqin Lu, Jiawei Hou and Xueyan Ye
In data-sparse areas, due to the lack of hydrogeological data, numerical groundwater models have some uncertainties. In this paper, a nested model and a multi-index calibration method are used to improve the reliability of a numerical groundwater model i...
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Xinqiang Du, Xiangqin Lu, Jiawei Hou and Xueyan Ye
In data-sparse areas, due to the lack of hydrogeological data, numerical groundwater models have some uncertainties. In this paper, a nested model and a multi-index calibration method are used to improve the reliability of a numerical groundwater model i...
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M. DAS GUPTA,S. BASU,R. K. PALIWAL,U. C. MOHANTY,N. V. SAM
For accurate determination of the three-dimensional structure of atmospheric circulation, it is very important to assimilate every observation from all available sources, especially over the data sparse oceanic regions. During the ...
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Gianni Vesuviano, Adam Griffin and Elizabeth Stewart
Monsoon-related extreme flood events are experienced regularly across India, bringing costly damage, disruption and death to local communities. This study provides a route towards estimating the likely magnitude of extreme floods (e.g., the 1-in-100-year...
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Yog Aryal
Accurately predicting ambient dust plays a crucial role in air quality management and hazard mitigation. Dust emission is a complex, non-linear response to several climatic variables. This study explores the accuracy of Artificial Intelligence (AI) model...
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Mouhamed Idrissou, Bernd Diekkrüger, Bernhard Tischbein, Boubacar Ibrahim, Yacouba Yira, Gero Steup and Thomas Poméon
This study investigates the robustness of the physically-based hydrological model WaSiM (water balance and flow simulation model) for simulating hydrological processes in two data sparse small-scale inland valley catchments (Bankandi-Loffing and Mebar) i...
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Xiao Liu, Jingjie Yu, Ping Wang, Yichi Zhang and Chaoyang Du
Lake evaporation is a critical component of the hydrological cycle. Quantifying lake evaporation in hyper-arid regions by measurement and estimation can both provide reliable potential evaporation (ET0) reference and promote a deeper understanding of the...
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Xiao Liu, Jingjie Yu, Ping Wang, Yichi Zhang, Chaoyang Du
Pág. 1 - 21
Lake evaporation is a critical component of the hydrological cycle. Quantifying lake evaporation in hyper-arid regions by measurement and estimation can both provide reliable potential evaporation (ET0) reference and promote a deeper understanding of the...
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