Coastal groundwater table estimation by an elevation fluctuation neural model
Coastal groundwater table estimation by an elevation fluctuation neural model作者机构：United Graduate School of Agricultural Sciences Ehime University Japan
出 版 物：《成都理工大学学报（自然科学版）》 (Journal of Chengdu University of Technology: Science & Technology Edition)
年 卷 期：2007年第34卷第1期
页 面：86-91页
学科分类：081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程]
摘 要：Restrictions of groundwater management are often derived from the insufficient or missing groundwater database.A suitable and complete groundwater database will allow sound engineering plans for sustainable water usage,including the drilling of wells,rates of water withdrawal,and eventually artificial recharge of the *** spatial-temporal variations of groundwater monitoring data are fluently influenced by the presence of manual factors,monitor equipment malfunctioning,natural phenomena,***,it is necessary for researchers to check and infill the groundwater database before running the numerical groundwater *** this paper,an artificial neural network(ANN)-based model is formulated using the hydrological and meteorological data to infill the inadequate data in the groundwater *** results present that ANN method could be a desirable choice for estimating the missing groundwater data.
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