ANN-BASED MODEL FOR PLANNING OF GROUNDWATER DEVELOPMENT FOR AGRICULTURAL USAGE

被引：5

作者：

Ghosh, Susmita ^{[1
]}

Kashyap, Deepak ^{[1
]}

机构：

[1] Indian Inst Technol Roorkee, Dept Civil Engn, Roorkee, Uttar Pradesh, India

来源：

IRRIGATION AND DRAINAGE | 2012年 / 61卷 / 04期

关键词：

optimal cropping pattern; groundwater planning; ANN; genetic algorithm; simulation; systeme de cultures optimale; planification des eaux souterraines; reseau artificiel de neurones; algorithme genetique; ARTIFICIAL NEURAL NETWORKS; GENETIC ALGORITHM; SURFACE-WATER; SIMULATION; OPTIMIZATION; MANAGEMENT;

D O I：

10.1002/ird.686

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

A computationally inexpensive linked ANN-optimization model for planning of groundwater development for agricultural usage is presented and illustrated on a canal command area in India. The planning ensures optimization of zonal crop areas subject to the constraints on maximum groundwater table depth and streamaquifer interflow under dynamic equilibrium. The data required for developing the ANN models of the envisaged state variables comprise an array of zonal crop areas and the corresponding state variables. These data are generated invoking a pre-calibrated simulation model of groundwater flow. Copyright (C) 2012 John Wiley & Sons, Ltd.

引用

页码：555 / 564

页数：10

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