Groundwater level prediction using a SOM-aided stepwise cluster inference model
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- 作者：Jing-Cheng Hana ; hanjc2012@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Yuefei Huanga ; b ; yuefeihuang@tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Zhong Lic ; Chunhong Zhaoa ; Guanhui Chengd ; Pengfei Huanga
- 关键词：Groundwater level modeling ; Uncertainty ; SOM ; Stepwise cluster inference ; Autoregressive error model ; Hexi Corridor
- 刊名：Journal of Environmental Management
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：182
- 期：Complete
- 页码：308-321
- 全文大小：5419 K
文摘
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We propose a coupled clustering approach to support groundwater level predictions.
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The spatial clusters of regional groundwater piezometers are derived through SOM.
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Stepwise cluster inference models are developed to perform multisite predictions.
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The approach is well demonstrated in an irrigation area of the China Hexi Corridor.
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Such post-processor as the AR error model helps to improve the prediction accuracy.