globalchange  > 气候变化与战略
DOI: 10.5194/hess-23-897-2019
论文题名:
Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data
作者: Zaussinger F.; Dorigo W.; Gruber A.; Tarpanelli A.; Filippucci P.; Brocca L.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期:2
起始页码: 897
结束页码: 923
语种: 英语
Scopus关键词: Information use ; Microwave sensors ; Remote sensing ; Soil moisture ; Soil surveys ; Water management ; Water supply ; Agricultural irrigation ; Agricultural water management ; Microwave observations ; Optical remote sensing ; Quantitative estimation ; Remotely sensed soil moisture ; Satellite soil moisture ; Surface soil moisture ; Irrigation ; ASCAT ; irrigation system ; moisture content ; remote sensing ; satellite data ; soil moisture ; spatiotemporal analysis ; water availability ; water management ; water use ; United States
英文摘要: Effective agricultural water management requires accurate and timely information on the availability and use of irrigation water. However, most existing information on irrigation water use (IWU) lacks the objectivity and spatiotemporal representativeness needed for operational water management and meaningful characterization of land-climate interactions. Although optical remote sensing has been used to map the area affected by irrigation, it does not physically allow for the estimation of the actual amount of irrigation water applied. On the other hand, microwave observations of the moisture content in the top soil layer are directly influenced by agricultural irrigation practices and thus potentially allow for the quantitative estimation of IWU. In this study, we combine surface soil moisture (SM) retrievals from the spaceborne SMAP, AMSR2 and ASCAT microwave sensors with modeled soil moisture from MERRA-2 reanalysis to derive monthly IWU dynamics over the contiguous United States (CONUS) for the period 2013-2016. The methodology is driven by the assumption that the hydrology formulation of the MERRA-2 model does not account for irrigation, while the remotely sensed soil moisture retrievals do contain an irrigation signal. For many CONUS irrigation hot spots, the estimated spatial irrigation patterns show good agreement with a reference data set on irrigated areas. Moreover, in intensively irrigated areas, the temporal dynamics of observed IWU is meaningful with respect to ancillary data on local irrigation practices. State-aggregated mean IWU volumes derived from the combination of SMAP and MERRA-2 soil moisture show a good correlation with statistically reported state-level irrigation water withdrawals (IWW) but systematically underestimate them. We argue that this discrepancy can be mainly attributed to the coarse spatial resolution of the employed satellite soil moisture retrievals, which fails to resolve local irrigation practices. Consequently, higher-resolution soil moisture data are needed to further enhance the accuracy of IWU mapping. © Author(s) 2019.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163044
Appears in Collections:气候变化与战略

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作者单位: Zaussinger, F., CLIMERS - Research Group Climate and Environmental Remote Sensing, Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria; Dorigo, W., CLIMERS - Research Group Climate and Environmental Remote Sensing, Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria; Gruber, A., CLIMERS - Research Group Climate and Environmental Remote Sensing, Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria, Department of Earth and Environmental Sciences, KU Leuven, Heverlee, Belgium; Tarpanelli, A., Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy; Filippucci, P., Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy; Brocca, L., Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy

Recommended Citation:
Zaussinger F.,Dorigo W.,Gruber A.,et al. Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data[J]. Hydrology and Earth System Sciences,2019-01-01,23(2)
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