Self-Organizing Map and Nonlinear Autoregression Networks for RegionalGroundwater Forecasting

碩士 === 淡江大學 === 水資源及環境工程學系碩士班 === 103 === World climate becoming more extreme, department of water scarcity problem currently facing the world''s, Taiwan is limited by time and space uneven terrain and rainfall, each person assigned to the low rainfall is the world standard. Ho...

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Bibliographic Details
Main Authors: Kuan-Wen Huang, 黃冠文
Other Authors: Li-Chiu Chang
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/32628949080973269124
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Summary:碩士 === 淡江大學 === 水資源及環境工程學系碩士班 === 103 === World climate becoming more extreme, department of water scarcity problem currently facing the world''s, Taiwan is limited by time and space uneven terrain and rainfall, each person assigned to the low rainfall is the world standard. How to preserve and recharge groundwater effectively has become an important issue.Groundwater has become an important water resource because of its low cost and easy extraction, often in the absence of sufficient surface water supply, it has become an important alternative water sources. The alluvial of the Zhuoshui River are good natural recharge areas of groundwater. Change of control and forecasting of groundwater, assist decision-making joint use and allocation management of surface water and groundwater reference. In this study, the study area is in the upstream mountain, upstream proximal-fan, midstream proximal-fan and downstream proximal-fan of Zhuoshui River. Collect the daily long-term (2000-2013) regional data sets and pre-processthe data of surface water and groundwater. Discussion groundwater aquifers of different districts and distribution and change, in non-hierarchical non-district "region mode" and "hierarchical partitioning mode" stratified-district of study area. The process is divided into build mode: data processing, SOM classification analysis, NARX. The results show that groundwater in the study area of classification, in 5X5 network is the most appropriate size. Available representative groundwater table, the amount of the spatial distribution of topography, and effective analysis of each neuron characteristics in agricultural water (irrigation and aquaculture water) at different times. NARX average groundwater level forecast model for the region quite excellent performance, R^2 are over 0.99 above. SOM-NARX mode groundwater variation prediction mode hierarchical partitioning of the region, in a hierarchical partitioning scheme outperformed the region''s performance mode, north of layering and zoning pattern by pattern outperformed the south coast of Zhuoshui River.