globalchange  > 气候变化与战略
DOI: 10.5194/hess-23-2351-2019
论文题名:
Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture?
作者: Kaune A.; Werner M.; López López P.; Rodríguez E.; Karimi P.; De Fraiture C.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期:5
起始页码: 2351
结束页码: 2368
语种: 英语
Scopus关键词: Hydrology ; Irrigation ; Precipitation (meteorology) ; Regional planning ; Rivers ; Agricultural productions ; Climate variability ; Global precipitation ; Hydrological modeling ; Hydrological models ; Irrigated agriculture ; Irrigation districts ; Meteorological data ; Uncertainty analysis ; agricultural production ; agrometeorology ; calibration ; hydrological modeling ; irrigation system ; precipitation (climatology) ; river discharge ; surface water ; water availability ; yield response
英文摘要: The area to be cropped in irrigation districts needs to be planned according to the available water resources to avoid agricultural production loss. However, the period of record of local hydro-meteorological data may be short, leading to an incomplete understanding of climate variability and consequent uncertainty in estimating surface water availability for irrigation area planning. In this study we assess the benefit of using global precipitation datasets to improve surface water availability estimates. A reference area that can be irrigated is established using a complete record of 30 years of observed river discharge data. Areas are then determined using simulated river discharges from six local hydrological models forced with in situ and global precipitation datasets (CHIRPS and MSWEP), each calibrated independently with a sample of 5 years extracted from the full 30-year record. The utility of establishing the irrigated area based on simulated river discharge simulations is compared against the reference area through a pooled relative utility value (PRUV). Results show that for all river discharge simulations the benefit of choosing the irrigated area based on the 30 years of simulated data is higher compared to using only 5 years of observed discharge data, as the statistical spread of PRUV using 30 years is smaller. Hence, it is more beneficial to calibrate a hydrological model using 5 years of observed river discharge and then to extend it with global precipitation data of 30 years as this weighs up against the model uncertainty of the model calibration. © 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/162969
Appears in Collections:气候变化与战略

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作者单位: Kaune, A., Water Science and Engineering Department, IHE Delft Institute for Water Education, Delft, Netherlands, Wageningen Institute for Environment and Climate Research, Wageningen University and Research, Netherlands; Werner, M., Water Science and Engineering Department, IHE Delft Institute for Water Education, Delft, Netherlands, Division of Inland Water Systems, Deltares, Delft, Netherlands; López López, P., Division of Inland Water Systems, Deltares, Delft, Netherlands, Division Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, Netherlands; Rodríguez, E., Grupo de Investigación en Ingeniería de Recursos Hídricos (GIREH), Universidad Nacional de Colombia, Bogotá, Colombia; Karimi, P., Water Science and Engineering Department, IHE Delft Institute for Water Education, Delft, Netherlands; De Fraiture, C., Water Science and Engineering Department, IHE Delft Institute for Water Education, Delft, Netherlands, Wageningen Institute for Environment and Climate Research, Wageningen University and Research, Netherlands

Recommended Citation:
Kaune A.,Werner M.,López López P.,et al. Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture?[J]. Hydrology and Earth System Sciences,2019-01-01,23(5)
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