气候变化领域集成服务门户(CCPortal): Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms

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DOI	10.1016/j.advwatres.2020.103595
	Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
	Rahman A.T.M.S.; Hosono T.; Quilty J.M.; Das J.; Basak A.
发表日期	2020
ISSN	0309-1708
卷号	141
英文摘要	Groundwater level (GWL) forecasting is crucial for irrigation scheduling, water supply and land development. Machine learning (ML) (e.g., artificial neural networks) has been increasingly adopted to forecast GWL due to its ability to model nonlinearities between GWL and its drivers (e.g., rainfall). Although ML approaches have been successful at forecasting GWL, they are often inaccurate when GWL exhibits multiscale changes (e.g., due to urbanization). To address this shortcoming, wavelet transforms (WT) are routinely coupled with ML methods. Unfortunately, researchers frequently neglect key issues associated with WT that render such forecasts useless for real-world scenarios. This study demonstrates how new ML methods, such as eXtreme Gradient Boosting and Random Forests, can be properly coupled with WT to generate accurate GWL forecasts (1-–3 months ahead) for 7 wells in Kumamoto City in Southern Japan that can be used to help address current pressing issues such as groundwater quality and land subsidence. © 2020
关键词	Decision trees Forecasting Groundwater Irrigation Machine learning Neural networks Water quality Water supply Gradient boosting Groundwater level forecasting Irrigation scheduling Key Issues Land development Land subsidence Machine learning approaches Real-world scenario Wavelet transforms forecasting method groundwater machine learning transform water level water quality wavelet analysis Japan Kumamoto Kyushu
语种	英语
来源机构	Advances in Water Resources
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/131798
推荐引用方式 GB/T 7714	Rahman A.T.M.S.,Hosono T.,Quilty J.M.,et al. Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms[J]. Advances in Water Resources,2020,141.
APA	Rahman A.T.M.S.,Hosono T.,Quilty J.M.,Das J.,&Basak A..(2020).Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms.,141.
MLA	Rahman A.T.M.S.,et al."Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms".141(2020).