|
|
|
|
|
Daniela Castagna, Luzinete Scaunichi Barbosa, Charles Campoe Martim, Rhavel Salviano Dias Paulista, Nadja Gomes Machado, Marcelo Sacardi Biudes and Adilson Pacheco de Souza
The Amazon biome plays a crucial role in the hydrological cycle, supplying water vapor for the atmosphere and contributing to evapotranspiration (ET) that influences regional humidity across Brazil and South America. Remote sensing (RS) has emerged as a ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hatef Dastour and Quazi K. Hassan
Having a complete hydrological time series is crucial for water-resources management and modeling. However, this can pose a challenge in data-scarce environments where data gaps are widespread. In such situations, recurring data gaps can lead to unfavora...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aristoteles Tegos, Stefanos Stefanidis, John Cody and Demetris Koutsoyiannis
This paper examines the impacts of three different potential evapotranspiration (PET) models on drought severity and frequencies indicated by the standardized precipitation index (SPEI). The standardized precipitation-evapotranspiration index is a recent...
ver más
|
|
|
|
|
|
|
|
|
|
|
Biplov Bhandari, Kel Markert, Vikalp Mishra, Amanda Markert and Robert Griffin
Flooding is a recurring natural disaster worldwide; developing countries are particularly affected due to poor mitigation and management strategies. Often discharge is used to inform the flood forecast. The discharge is usually inferred from the water le...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Banteamlak Kase Abebe, Fasikaw Atanaw Zimale, Kidia Kessie Gelaye, Temesgen Gashaw, Endalkachew Goshe Dagnaw and Anwar Assefa Adem
In most developing countries, biophysical data are scarce, which hinders evidence-based watershed planning and management. To use the scarce data for resource development applications, special techniques are required. Thus, the primary goal of this study...
ver más
|
|
|
|
|
|
|
|
|
|
|
Himasha Dilshani Abeysiriwardana, Nitin Muttil and Upaka Rathnayake
Among numerous methods that have been developed to estimate potential evapotranspiration (PET), the Food and Agricultural Organization Penman?Monteith model (FAO P?M) is often recognized as a standard method to estimate PET. This study was conducted to e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iolanda Borzì and Brunella Bonaccorso
Groundwater is a major source of drinking water worldwide, often considered more reliable than surface water and more accessible. Nowadays, there is wide recognition by the scientific community that groundwater resources are under threat from overexploit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amit Kumar Batar and Teiji Watanabe
The Himalayan region and hilly areas face severe challenges due to landslide occurrences during the rainy seasons in India, and the study area, i.e., the Rudraprayag district, is no exception. However, the landslide related database and research are stil...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yulong Zhang, Jianzhong Zhou and Chengwei Lu
One-dimensional hydrodynamic modeling approaches are useful for flood simulations; however, most studies often neglect intermediate discharges due to difficulties in obtaining the associated data. Herein, we produced the XAJ-H1DM model by coupling the Xi...
ver más
|
|
|
|
|
|