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Dejian Zhang, Wenjie Fu, Qiaoying Lin and Xingwei Chen
This study developed a web-based open-source framework based on the Soil and Water Assessment Tool (SWAT), named WOF-SWAT (web-based open-source framework for SWAT), to investigate individual and combined impacts of climate change, land use change, and p...
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Ibrahim Al Khoury, Laurie Boithias and David Labat
Karst water resources represent a primary source of freshwater supply, accounting for nearly 25% of the global population water needs. Karst aquifers have complex recharge characteristics, storage patterns, and flow dynamics. They also face a looming str...
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Ryan T. Bailey, Katrin Bieger, Jeffrey G. Arnold and David D. Bosch
Watershed models are used worldwide to assist with water and nutrient management under conditions of changing climate, land use, and population. Of these models, the Soil and Water Assessment Tool (SWAT) and SWAT+ are the most widely used, although their...
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Hadi Babaei, Mohammad Nazari-Sharabian, Moses Karakouzian and Sajjad Ahmad
Best Management Practices (BMPs) are commonly used to control pollution in the river basins. Prioritization of BMPs helps improve the efficiency and effectiveness of pollution reduction, especially in Critical Source Areas (CSAs) that produce the highest...
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Van Tam Nguyen, Jörg Dietrich, Bhumika Uniyal and Dang An Tran
The Soil and Water Assessment Tool (SWAT) is one of the most widely used eco-hydrological models. SWAT has been undergoing constant changes since its development. However, compartment review and testing of SWAT, especially the hydrologic routing function...
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Gokhan Cuceloglu, Karim C. Abbaspour and Izzet Ozturk
Uncertainties due to climate change and population growth have created a critical situation for many megacities. Investigating spatio-temporal variability of water resources is, therefore, a critical initial step for water-resource management. This paper...
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Gokhan Cuceloglu, Karim C. Abbaspour, Izzet Ozturk
Pág. 1 - 18
Uncertainties due to climate change and population growth have created a critical situation for many megacities. Investigating spatio-temporal variability of water resources is, therefore, a critical initial step for water-resource management. This paper...
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Dachen Li, Simin Qu, Peng Shi, Xueqiu Chen, Feng Xue, Jianfeng Gou and Wenhao Zhang
To date, floods have become one of the most severe natural disasters on Earth. Flood forecasting with hydrological models is an important non-engineering measure for flood control and disaster reduction. The Xin?anjiang (XAJ) model is the most widely use...
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Mohsen Tahmasebi Nasab, Vishal Singh, Xuefeng Chu
Pág. 1 - 14
Modeling hydrologic processes for depression-dominated areas such as the North American Prairie Pothole Region is complex and reliant on a clear understanding of dynamic filling-spilling-merging-splitting processes of numerous depressions over the surfac...
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Mohsen Tahmasebi Nasab, Vishal Singh and Xuefeng Chu
Modeling hydrologic processes for depression-dominated areas such as the North American Prairie Pothole Region is complex and reliant on a clear understanding of dynamic filling-spilling-merging-splitting processes of numerous depressions over the surfac...
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Youn Shik Park, Jeong Hee Park, Won Seok Jang, Ji Chul Ryu, Hyunwoo Kang, Joongdae Choi and Kyoung Jae Lim
The Soil and Water Assessment Tool (SWAT) model has been used worldwide for many hydrologic and Non-Point Source (NPS) Pollution analyses on a watershed scale. However, it has many limitations in simulating the Vegetative Filter Strip (VFS) because it co...
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Ang Swat Lin Lindawati
Pág. 171 - 186
Entrepreneurship is essentially a knowledge problem. The cognitive underpinnings of entrepreneurship are the heart of the problem. Entrepreneurs rely on different types of knowledge when identifying and developing profit opportunities through their entre...
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Ang Swat Lin Lindawati,Tiffany Roselin
This exploratory study is concerned with phenomenon of the risk of investing in capital market,which is often distressing and being perceived negatively by public/investors. Intentionally,its establishing the main reasons for the public lack of interest ...
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Samreen Abdul Hakeem, Tiesong Hu and Muhammad Yasir
Monitoring vegetation change and hydrological variation is crucial as they are useful means of appraising the ecological environment and managing water resources in water-resource-sensitive regions. The leaf area index (LAI) describes water consumption i...
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Basharat Ali, Anwarzeb Khan, Syed Shujait Ali, Haji Khan, Mehboob Alam, Asmat Ali, Abdulwahed Fahad Alrefaei, Mikhlid H. Almutairi and Ki In Kim
Water contamination with heavy metals seriously affects water and sediment quality and may affect the aquatic biota. This study assessed the impact of heavy metals on the morphological characteristics of aquatic microorganisms in potentially contaminated...
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Majid Fereidoon, Manfred Koch and Luca Brocca
Hydrological models are widely used for many purposes in water sector projects, including streamflow prediction and flood risk assessment. Among the input data used in such hydrological models, the spatial-temporal variability of rainfall datasets has a ...
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Supria Paul, Michaela A. Cashman, Katelyn Szura and Soni M. Pradhanang
Nonpoint source nitrogen pollution is difficult to effectively model in groundwater systems. This study aims to elucidate anthropogenic nonpoint source pollution discharging into Potowomut Pond and ultimately Narragansett Bay. Hydrologic modeling with So...
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Supria Paul, Michaela A. Cashman, Katelyn Szura, Soni M. Pradhanang
Pág. 1 - 15
Nonpoint source nitrogen pollution is difficult to effectively model in groundwater systems. This study aims to elucidate anthropogenic nonpoint source pollution discharging into Potowomut Pond and ultimately Narragansett Bay. Hydrologic modeling with So...
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Lan Zeng, Haoyong Shen, Yali Cui, Xuefeng Chu and Jingli Shao
Surface depressions are one of the important impact factors of hydrologic processes and catchment responses. However, in many hydrologic models, the influence of depressions is often simulated in a lumped manner, which results in the insufficient charact...
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Majid Mirzaei, Haoxuan Yu, Adnan Dehghani, Hadi Galavi, Vahid Shokri, Sahar Mohsenzadeh Karimi and Mehdi Sookhak
Rainfall-Runoff simulation is the backbone of all hydrological and climate change studies. This study proposes a novel stochastic model for daily rainfall-runoff simulation called Stacked Long Short-Term Memory (SLSTM) relying on machine learning technol...
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