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Irrigation water management in arid regions of Middle East: Assessing spatio-temporal variation of actual evapotranspiration through remote sensing techniques and meteorological data

机译:中东干旱地区的灌溉水管理:通过遥感技术和气象数据评估实际蒸散的时空变化

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Spatial and temporal distribution of reference (ETo) and actual evapotranspiration (AET) over the central region of Saudi Arabia during 1950-2013 are estimated using remote sensing and GIS techniques. Firstly, the FAO Penman-Monteith method was used to model the spatial distribution of ETo on a grid-by-grid basis using data collected from meteorological stations and GIS techniques. Then, crop coefficients (Kc) were modeled as a function of 16-day time-series MODIS normalized difference vegetation index (NDVI). Next, using Kc maps and ETo as input, daily AET was simulated by the soil water balance (SWB) model and aggregated to monthly and annual AET. From empirical NDVI-Kc relationships developed and applicable at pixel level, Kc derived from the NDVI-Kc relationships agree well with Kc recommended by FAO over various crop growth stages in the field. The monthly AET maps for 1950-2013 show a gradual increase in AET during the crop-growing season in January to May but a subsequent decline as the season progresses from June to December. The AET estimated for January to June are arranged in descending order, which are May (3.67-44.7 mm/day), April (5.99-36.8 mm/day), March (2.96-32.7 mm/day), February (0.68-20 mm/day), June (2.42-17.7 mm/day) and January (1-11 mm/day), respectively. Statistical analysis shows that statistically significant change point in daily AET generally occurred in 1990, such that the long-term average daily AET of 1950-1990 at 3.6 mm/day increased to about 5.3 mm/day between 1990 and 2016 with a positive trend of 1.5 mm/decade. The annual AET estimated for irrigated cropland in northern and central regions of Riyadh, Al-Qassim province and Hail province range from 1200 to 2900 mm/year. In these regions, low AET values are found in shrubland, grassland, and other natural vegetation. The annual AET estimated by the SWB model are about 9-11% higher than modeled AET in the study area, where the long-term average daily AET estimated for 1950-2013 range from 2 mm/day to 30 mm/day. Representative AET maps derived from applying the NDVI-Kc relationships to the SWB model will be useful to achieve the planning and management of sustainable water use in arid regions of Middle East.
机译:使用遥感和GIS技术估计,在1950 - 2013年在沙特阿拉伯中央地区的参考(ETO)和实际蒸散(AET)的空间和时间分布估计。首先,粮农组织Penman-Monteith方法用于使用从气象站和GIS技术收集的数据来模拟ETO对网格基准的空间分布。然后,将作物系数(KC)建模为16天时间序列归一化差异植被指数(NDVI)的函数。接下来,使用KC地图和ETO作为输入,通过土壤水平(SWB)模型进行日常AET,并汇总到每月和年度AET。从经验丰富的NDVI-KC关系开发和适用于像素水平,来自NDVI-KC关系的KC与粮农组织推荐的KC同意在该领域的各种作物生长阶段。 1950 - 2013年的每月AET地图显示了1月份作物增长季节期间AET的AET逐步增加,但随后随后从6月到12月的进展情况下降。 1月至6月估计的AET按降序排列,5月(3.67-44.7毫米/天),4月(5.99-36.8毫米/天),3月(2.96-32.7毫米/天/天),2月(0.68-20 MM / Day),6月(2.42-17.7 mm /天/天)和1月(1-11毫米/天)。统计分析表明,每日AET中的统计学显着变化点通常发生在1990年,使1950-1990的长期平均每日AET在3.6毫米/天中增加到1990年至2016年间约5.3毫米/天,具有积极的趋势1.5毫米/十年。利雅得北部和中部地区灌溉农田估计的年度AET估计,互联网省和冰雹省占1200至2900毫米/年。在这些区域中,在灌木丛,草原和其他天然植物中发现了低AET值。 SWB模型估计的年度AET比研究区内的模型AET高出9-11%,其中长期平均每日AET估计为1950-2013,范围为2毫米/天至30毫米/天。源于将NDVI-KC关系应用于SWB模型的代表性AET地图将有助于实现中东干旱地区可持续用水的规划和管理。

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