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Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river 期刊论文
, 2020, 卷号: 142
作者:  Phan T.-T.-H.;  Nguyen X.H.
收藏  |  浏览/下载：26/0  |  提交时间：2020/07/28
Autoregressive moving average model  Cost effectiveness  Disaster prevention  Forecasting  Learning algorithms  Water levels  Water resources  Auto-regressive integrated moving average  Computational time  Cost-effective solutions  Linear and nonlinear models  Physically based models  Statistical machine learning  Time series forecasting  Water level forecasting  Machine learning  data set  flood forecasting  forecasting method  hydrological modeling  machine learning  numerical model  performance assessment  river water  water level  Hanoi  Red River [Asia]  Viet Nam  
Groundwater Nitrate Contamination Integrated Modeling for Climate and Water Resources Scenarios: The Case of Lake Karla Over-Exploited Aquifer 期刊论文
WATER, 2019, 卷号: 11, 期号: 6
作者:  Sidiropoulos, Pantelis;  Tziatzios, Georgios;  Vasiliades, Lampros;  Mylopoulos, Nikitas;  Loukas, Athanasios
收藏  |  浏览/下载：28/0  |  提交时间：2019/10/08
integrated water resources modeling  groundwater nitrate contamination  climate change  Lake Karla aquifer  
Simulating Climate Change Impacts on Surface Water Resources Within a Lake-Affected Region Using Regional Climate Projections 期刊论文
WATER RESOURCES RESEARCH, 2019, 卷号: 55, 期号: 1, 页码: 130-155
作者:  Erler, Andre R.;  Frey, Steven K.;  Khader, Omar;  d';  Orgeville, Marc;  Park, Young-Jin;  Hwang, Hyoun-Tae;  Lapen, David R.;  Peltier, W. Richard;  Sudicky, Edward A.
收藏  |  浏览/下载：44/0  |  提交时间：2019/10/08
water resources  climate change  regional climate modeling  integrated hydrologic modeling  Great Lakes region  hydroclimatology