Arid
DOI10.1016/j.scitotenv.2015.10.086
Assessing irrigated agriculture’s surface water and groundwater consumption by combining satellite remote sensing and hydrologic modelling
Pena-Arancibia, Jorge L.; Mainuddin, Mohammed; Kirby, John M.; Chiew, Francis H. S.; McVicar, Tim R.; Vaze, Jai
通讯作者Pena-Arancibia, Jorge L.
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
EISSN1879-1026
出版年2016
卷号542页码:372-382
英文摘要

Globally, irrigation accounts for more than two thirds of freshwater demand. Recent regional and global assessments indicate that groundwater extraction (GWE) for irrigation has increased more rapidly than surface water extraction (SWE), potentially resulting in groundwater depletion. Irrigated agriculture in semi-arid and arid regions is usually from a combination of stored surface water and groundwater. This paper assesses the usefulness of remotely-sensed (RS) derived information on both irrigation dynamics and rates of actual evapotranspiration which are both input to a river-reach water balance model in order to quantify irrigation water use and water provenance (either surface water or groundwater). The assessment is implemented for the water-years 2004/05-2010/11 in five reaches of the Murray-Darling Basin (Australia); a heavily regulated basin with large irrigated areas and periodic droughts and floods. Irrigated area and water use are identified each water-year (from July to June) through a Random Forest model which uses RS vegetation phenology and actual evapotranspiration as predicting variables. Both irrigated areas and actual evapotranspiration from irrigated areas were compared against published estimates of irrigated areas and total water extraction (SWE + GWE). The river-reach model determines the irrigated area that can be serviced with stored surface water (SWE), and the remainder area (as determined by the Random Forest Model) is assumed to be supplemented by groundwater (GWE). Model results were evaluated against observed SWE and GWE. The modelled SWE generally captures the observed interannual patterns and to some extent the magnitudes, with Pearson’s correlation coefficients >0.8 and normalised root-mean-square-error < 30%. In terms of magnitude, the results were as accurate as or better than those of more traditional (i.e., using areas that fluctuate based onwater resource availability and prescribed crop factors) irrigation modelling. The RS irrigated areas and actual evapotranspiration can be used to: (i) understand irrigation dynamics, (ii) constrain irrigation models in data scarce regions, as well as (iii) pinpointing areas that require better ground-based monitoring. Crown Copyright (C) 2015 Published by Elsevier B.V. All rights reserved.


英文关键词Image classification Random forest Mapping Hydrology Diversions Evapotranspiration Murray-Darling basin
类型Article
语种英语
国家Australia
收录类别SCI-E
WOS记录号WOS:000365602100039
WOS关键词FOOD SECURITY ; MODIS DATA ; PART 2 ; RESOURCES ; EVAPOTRANSPIRATION ; PERFORMANCE ; VEGETATION ; AREAS ; LAND ; OPPORTUNITIES
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构Commonwealth Scientific and Industrial Research Organisation
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/196192
作者单位CSIRO Land & Water, Canberra, ACT 2601, Australia
推荐引用方式
GB/T 7714
Pena-Arancibia, Jorge L.,Mainuddin, Mohammed,Kirby, John M.,等. Assessing irrigated agriculture’s surface water and groundwater consumption by combining satellite remote sensing and hydrologic modelling[J]. Commonwealth Scientific and Industrial Research Organisation,2016,542:372-382.
APA Pena-Arancibia, Jorge L.,Mainuddin, Mohammed,Kirby, John M.,Chiew, Francis H. S.,McVicar, Tim R.,&Vaze, Jai.(2016).Assessing irrigated agriculture’s surface water and groundwater consumption by combining satellite remote sensing and hydrologic modelling.SCIENCE OF THE TOTAL ENVIRONMENT,542,372-382.
MLA Pena-Arancibia, Jorge L.,et al."Assessing irrigated agriculture’s surface water and groundwater consumption by combining satellite remote sensing and hydrologic modelling".SCIENCE OF THE TOTAL ENVIRONMENT 542(2016):372-382.
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