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Dessalegn Jaweso, Brook Abate, Andreas Bauwe and Bernd Lennartz
This study aimed to assess trends of hydro-meteorological variables in the Upper Omo-Ghibe river basin, Ethiopia. Data records from eleven rainfall, eight air temperature, and five streamflow stations between 1981 to 2008 were investigated. The trends an...
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Zekâi Sen
In the open literature, there are numerous studies on the normal and extreme (flood and drought) behavior of wet and dry periods based on the understanding of the standard precipitation index (SPI), which provides a series of categorizations by consideri...
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Gamil Gamal, Pavol Nejedlik and Ahmed M. El Kenawy
Understanding long-term variations in precipitation is crucial for identifying the effects of climate change and addressing hydrological and water management issues. This study examined the trends of the mean and four extreme precipitation indices, which...
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Md Monowar Hossain, A. H. M. Faisal Anwar, Nikhil Garg, Mahesh Prakash and Mohammed Abdul Bari
The fidelity of the decadal experiment in Coupled Model Intercomparison Project Phase-5 (CMIP5) has been examined, over different climate variables for multiple temporal and spatial scales, in many previous studies. However, most of the studies were for ...
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Luis Alberto Vargas-León and Juan Diego Giraldo-Osorio
In this work, the influence of the El Niño Southern Oscillation (ENSO) on the Extreme Precipitation Indices (EPIs) was analyzed, and these ENSO-forced anomalies were compared with the long-term change in the EPIs. The annual time series of the EPIs were ...
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César Augusto Terán-Chaves, Julio Martín Duarte-Carvajalino, Claudia Ipaz-Cuastumal, Alexander Vega-Amante and Sonia Mercedes Polo-Murcia
Climate variability is a major threat to maize (Zea mays) crops in Colombia, posing a risk to food security and compliance with Sustainable Development Goals. Therefore, this study aimed to assess the physical vulnerability of maize crops to climate vari...
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Jeonghoon Lee, Jeonghyeon Choi, Jiyu Seo, Jeongeun Won and Sangdan Kim
In the context of hydrological model calibration, observational data play a central role in refining and evaluating model performance and uncertainty. Among the critical factors, the length of the data records and the associated climatic conditions are p...
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Kyriaki Kalaitzidou, Maria Margarita Ntona, Eythimia Zavridou, Stefanos Tzeletas, Thomas Patsialis, Andreas Kallioras, Anastasios Zouboulis, Christina Virgiliou, Manassis Mitrakas and Nerantzis Kazakis
To detect the degradation of clean water, it is necessary to characterize its quality through water quality indices using seasonal water sampling and analysis. In the present study, the initialization of the monitoring by surface and dam water sampling w...
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Tim Wolters, Ian McNamara, Björn Tetzlaff and Frank Wendland
The input of nutrients into surface waters and groundwater is directly linked to runoff components. Due to the different physicochemical behaviour of nitrogen and phosphorus compounds, the individual runoff components have different significance as input...
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Saeid Masoudiashtiani and Richard C. Peralta
In this study, we present artificial neural networks (ANNs) to aid in a reconnaissance evaluation of an aquifer storage and recovery (ASR) well. Recovery effectiveness (REN) is the proportion of ASR-injected water recovered during subsequent extraction f...
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