Search Results - "Water resources management"

Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping by Naghibi, Seyed Amir, Ahmadi, Kourosh, Daneshi, Alireza

“…Regarding the ever increasing issue of water scarcity in different countries, the current study plans to apply support vector machine (SVM), random forest…”
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Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction by Mosavi, Amirhosein, Sajedi Hosseini, Farzaneh, Choubin, Bahram, Goodarzi, Massoud, Dineva, Adrienn A., Rafiei Sardooi, Elham

“…Due to the rapidly increasing demand for groundwater, as one of the principal freshwater resources, there is an urge to advance novel prediction systems to…”
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Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting by Rahimzad, Maryam, Moghaddam Nia, Alireza, Zolfonoon, Hosam, Soltani, Jaber, Danandeh Mehr, Ali, Kwon, Hyun-Han

“…Streamflow forecasting plays a key role in improvement of water resource allocation, management and planning, flood warning and forecasting, and mitigation of…”
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Receiving More Accurate Predictions for Longitudinal Dispersion Coefficients in Water Pipelines: Training Group Method of Data Handling Using Extreme Learning Machine Conceptions by Saberi-Movahed, Farid, Najafzadeh, Mohammad, Mehrpooya, Adel

“…Longitudinal dispersion coefficient (LDC) is known as the most remarkable environmental variables which plays a key role in evaluation of pollution profiles in…”
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Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping by Yariyan, Peyman, Janizadeh, Saeid, Van Phong, Tran, Nguyen, Huu Duy, Costache, Romulus, Van Le, Hiep, Pham, Binh Thai, Pradhan, Biswajeet, Tiefenbacher, John P.

“…Development of zoning and flood-forecasting models is essential for making optimal management decisions before and after floods. The Komijan watershed of…”
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Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition by Wang, Wen-chuan, Chau, Kwok-wing, Xu, Dong-mei, Chen, Xiao-Yun

“…Hydrological time series forecasting is one of the most important applications in modern hydrology, especially for effective reservoir management. In this…”
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Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach by Miraki, Shaghayegh, Zanganeh, Sasan Hedayati, Chapi, Kamran, Singh, Vijay P., Shirzadi, Ataollah, Shahabi, Himan, Pham, Binh Thai

“…Identifying areas with high groundwater potential is important for groundwater resources management. The main objective of this study is to propose a novel…”
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Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States by Parisouj, Peiman, Mohebzadeh, Hamid, Lee, Taesam

“…Streamflow estimation plays a significant role in water resources management, especially for flood mitigation, drought warning, and reservoir operation. Hence,…”
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Water Footprint Assessment: Evolvement of a New Research Field by Hoekstra, Arjen Y.

“…This paper reviews the evolvement of water footprint assessment (WFA) as a new research field over the past fifteen years. The research is rooted in four basic…”
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Fuzzy Stress-based Modeling for Probabilistic Irrigation Planning Using Copula-NSPSO by Wang, Chen, Shang, Yizi, Khayatnezhad, Majid

“…Hydrological uncertainties are the main components of a sustainable framework in agricultural water management. Prediction of drought as a meteorological…”
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Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China by Wu, Zhiyong, Feng, Huihui, He, Hai, Zhou, Jianhong, Zhang, Yuliang

“…Soil moisture (SM) is critical for various hydro-meteorological applications. Land surface models (LSMs) can produce global spatio-temporal continuous SM…”
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Flood Susceptibility Assessment by Using Bivariate Statistics and Machine Learning Models - A Useful Tool for Flood Risk Management by Costache, Romulus

“…In Romania, as in the rest of the world, the flood frequency has increased considerably. Prahova river basin is among the most exposed catchments of the…”
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Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods by Anaraki, Mahdi Valikhan, Farzin, Saeed, Mousavi, Sayed-Farhad, Karami, Hojat

“…In the present study, for the first time, a new framework is used by combining metaheuristic algorithms, decomposition and machine learning for flood frequency…”
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Runoff Forecasting using Convolutional Neural Networks and optimized Bi-directional Long Short-term Memory by Wu, Junhao, Wang, Zhaocai, Hu, Yuan, Tao, Sen, Dong, Jinghan

“…Water resources matters considerably in maintaining the biological survival and sustainable socio-economic development of a region. Affected by a combination…”
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A Method for Predicting Long-Term Municipal Water Demands Under Climate Change by Zubaidi, Salah L., Ortega-Martorell, Sandra, Kot, Patryk, Alkhaddar, Rafid M., Abdellatif, Mawada, Gharghan, Sadik K., Ahmed, Maytham S., Hashim, Khalid

“…The accurate forecast of water demand is challenging for water utilities, specifically when considering the implications of climate change. As such, this is…”
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Single-Objective and Multi-Objective Flood Interval Forecasting Considering Interval Fitting Coefficients by Chang, Xinyu, Guo, Jun, Qin, Hui, Huang, Jingwei, Wang, Xinying, Ren, Pingan

“…Human activities and climate change have exacerbated the frequency of extreme weather events such as rainstorms and floods, which makes it difficult to…”
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A Comparative Study of MLR, KNN, ANN and ANFIS Models with Wavelet Transform in Monthly Stream Flow Prediction by Khazaee Poul, Ahmad, Shourian, Mojtaba, Ebrahimi, Hadi

“…Reliable and precise prediction of the rivers flow is a major concern in hydrologic and water resources analysis. In this study, multi-linear regression (MLR)…”
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Hydrological Response to Agricultural Land Use Heterogeneity Using Variable Infiltration Capacity Model by Srivastava, Ankur, Kumari, Nikul, Maza, Minotshing

“…Hydrological responses corresponding to the agricultural land use alterations are critical for planning crop management strategies, water resources management,…”
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Potential of Hybrid Data-Intelligence Algorithms for Multi-Station Modelling of Rainfall by Pham, Quoc Bao, Abba, S. I., Usman, Abdullahi Garba, Linh, Nguyen Thi Thuy, Gupta, Vivek, Malik, Anurag, Costache, Romulus, Vo, Ngoc Duong, Tri, Doan Quang

“…One of the most challenging tasks in rainfall prediction is designing a reliable computational methodology owing the random and stochastic characteristics of…”
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An Ensemble Hybrid Forecasting Model for Annual Runoff Based on Sample Entropy, Secondary Decomposition, and Long Short-Term Memory Neural Network by Wang, Wen-chuan, Du, Yu-jin, Chau, Kwok-wing, Xu, Dong-mei, Liu, Chang-jun, Ma, Qiang

“…Accurate and consistent annual runoff prediction in a region is a hot topic in management, optimization, and monitoring of water resources. A novel prediction…”
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