50   Artículos

 
en línea
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... ver más
Revista: Water    Formato: Electrónico

 
en línea
Xuhui Zeng, Shu Wang, Yunqiang Zhu, Mengfei Xu and Zhiqiang Zou    
The recommendation system is one of the hotspots in the field of artificial intelligence that can be applied to recommend suitable ecological patterns for the countryside. Countryside ecological patterns mean advanced patterns that can be recommended to ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Kindie Engdaw Tadesse, Assefa M. Melesse, Adane Abebe, Haileyesus Belay Lakew and Paolo Paron    
This study presents three global precipitation products and their downscaled versions (CHIRPSv2, TAMSATv3, PERSIANN_CDR, CHIRPS_D, PERSIANNN_CDR_D, and TAMSAT_D) estimated with observed values from 1983 to 2014. Performance evaluation of global precipita... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
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... ver más
Revista: AI    Formato: Electrónico

 
en línea
Marcelo Chan Fu Wei, Ricardo Canal Filho, Tiago Rodrigues Tavares, José Paulo Molin and Afrânio Márcio Corrêa Vieira    
To obtain a better performance when modeling soil spectral data for attribute prediction, researchers frequently resort to data pretreatment, aiming to reduce noise and highlight the spectral features. Even with the awareness of the existence of dimensio... ver más
Revista: AI    Formato: Electrónico

 
en línea
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., ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Iguniwari Thomas Ekeu-wei and George Alan Blackburn    
Consistent data are seldom available for whole-catchment flood modelling in many developing regions, hence this study aimed to explore an integrated approach for flood modelling and mapping by combining available segmented hydrographic, topographic, floo... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
András Bárdossy, Faizan Anwar and Jochen Seidel    
Revista: Water    Formato: Electrónico

 
en línea
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... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
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... ver más
Revista: Water    Formato: Electrónico

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