TO RETIRE OR EXPAND? A FUZZY GIS-BASED SPATIAL MULTI-CRITERIA EVALUATION FRAMEWORK FOR IRRIGATED AGRICULTURE

被引：81

作者：

Chen, Yun ^{[1
,3
]}

Khan, Shahbaz ^{[1
,2
,4
]}

Paydar, Zahra ^{[1
,3
]}

机构：

[1] CSIRO Land & Water, Canberra, ACT, Australia

[2] Charles Sturt Univ, Int Ctr Water Food Secur, Wagga Wagga, NSW, Australia

[3] CRC IF, Wagga Wagga, NSW, Australia

[4] UNESCO Div Water Resources, Paris, France

来源：

IRRIGATION AND DRAINAGE | 2010年 / 59卷 / 02期

关键词：

irrigated cropping; land suitability; fuzzy linguistic ordered weighted averaging; multi-criteria analysis; ANALYTICAL HIERARCHY PROCESS; DECISION-SUPPORT-SYSTEM; WEIGHTED AVERAGING OWA; SUITABILITY ANALYSIS; INFORMATION-SYSTEMS; QUANTIFIERS; EXTENSION; OPERATORS;

D O I：

10.1002/ird.470

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

This paper presents a GIS framework for multi-criteria evaluation of land suitability for the expansion or retirement of irrigated cropland at a catchment scale in Australia. This framework is based on the fuzzy linguistic ordered weighted averaging (FLOWA) approach which integrates the analytical hierarchy procedure (AHP) and quantifier-guided OWA operators in an ArcGIS 9.2 environment. The FLOWA module proved to be highly flexible and efficient in generating and visualising a wide range of different multi-criteria decision strategies. Several scenarios were derived to show how the uncertainties involved in the suitability decision-making process can influence the outcomes. This framework has helped us understand the need for retirement as well as the potential for expanding irrigation in suitable areas of the catchment if water is available. Copyright (C) 2009 John Wiley & Sons, Ltd.

引用

页码：174 / 188

页数：15

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