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Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac...
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Rafal Michalski and Szymon Zaleski
Although there have been some studies on the success factors for IT software projects, there is still a lack of coherent research on the success factors for IT service projects. Therefore, this study aimed to identify and understand the factors and their...
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El Mustapha Azzirgue, El Khalil Cherif, Hamza El Azhari, Houria Dakak, Hasna Yachou, Ahmed Ghanimi, Nordine Nouayti, Joaquim Esteves da Silva and Farida Salmoun
The processed discharges from Tangier Automotive City?s (TAC) Chrafate Wastewater Treatment Plant (WWTP) contaminate the Jouamaa Hakama groundwater and the Ouljat Echatt river. We aimed to study the unknown interactions between surface water (SW) and gro...
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Soumyashree Kar, Jason R. McKenna, Glenn Anglada, Vishwamithra Sunkara, Robert Coniglione, Steve Stanic and Landry Bernard
While study of ocean dynamics usually involves modeling deep ocean variables, monitoring and accurate forecasting of nearshore environments is also critical. However, sensor observations often contain artifacts like long stretches of missing data and noi...
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Guoyi Sun, Qian Xu, Guangyuan Zhang, Tengteng Qu, Chengqi Cheng and Haojiang Deng
With the rapid development of the big data era, Unmanned Aerial Vehicles (UAVs) are being increasingly adopted for various complex environments. This has imposed new requirements for UAV path planning. How to efficiently organize, manage, and express all...
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Gabriela Emiliana de Melo e Costa, Frederico Carlos M. de Menezes Filho, Fausto A. Canales, Maria Clara Fava, Abderraman R. Amorim Brandão and Rafael Pedrollo de Paes
Stochastic modeling to forecast hydrological variables under changing climatic conditions is essential for water resource management and adaptation planning. This study explores the applicability of stochastic models, specifically SARIMA and SARIMAX, to ...
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Alejandro Cruz-Retana, Rocio Becerril-Piña, Carlos Roberto Fonseca, Miguel A. Gómez-Albores, Sandra Gaytán-Aguilar, Marivel Hernández-Téllez and Carlos Alberto Mastachi-Loza
Remote sensing plays a crucial role in modeling surface water quality parameters (WQPs), which aids spatial and temporal variation assessment. However, existing models are often developed independently, leading to uncertainty regarding their applicabilit...
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Fengping Liu, Xu Wang, Yuhu Chang, Ye Xu, Yinan Zheng, Ning Sun and Wei Li
This study analyzed the multivariate drought risks for the Wei River basin by characterizing the interdependence between the standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI). Both parametric and no...
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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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Mohamed Gad, Aissam Gaagai, Mohamed Hamdy Eid, Péter Szucs, Hend Hussein, Osama Elsherbiny, Salah Elsayed, Moataz M. Khalifa, Farahat S. Moghanm, Moustapha E. Moustapha, Dina A. Tolan and Hekmat Ibrahim
The assessment and prediction of water quality are important aspects of water resource management. Therefore, the groundwater (GW) quality of the Nubian Sandstone Aquifer (NSSA) in El Kharga Oasis was evaluated using indexing approaches, such as the drin...
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