Water stress assessment in rainfed crops and pastures by using remotely sensed evapotranspiration

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Mosayeb Moqbeli, Arman Oliazadeh, Seyed Hossein Sanaei Nejad, Mojtaba Sadegh
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引用次数: 0

Abstract

Agricultural drought is a natural and damaging phenomenon that is especially harmful to rainfed agriculture. It occurs when there is insufficient soil moisture in the root zone for plants to survive between two rainfall events. In the absence of soil moisture, a variety of losses, including soil evaporation and plant transpiration, cause an imbalance between water supply and water loss. An evapotranspiration-based index was used here to assess agricultural drought. We applied this framework to a less studied area near Fariman City in the northeast part of IRAN. Two time periods were selected for comparison including 2015 and 2016 spring season that are associated with dry and wet conditions, respectively. To calculate the drought index, actual and potential evapotranspiration were estimated by the Surface Energy Balance Algorithm for Land (SEBAL), the upgraded Priestley-Taylor method and remote sensing data. The Relative Water Deficit Index (RWDI) illustrated that lack of water in rainfed lands and pastures for the dry period was obtained from 80 to 100 percent, whereas this was between 50 and 70% for the wet period.

基于遥感蒸散的旱作作物和牧草水分胁迫评价
农业干旱是一种自然灾害现象,对雨养农业危害尤甚。当根部土壤湿度不足,植物无法在两次降雨之间存活时,就会发生这种情况。在缺乏土壤水分的情况下,包括土壤蒸发和植物蒸腾在内的各种损失造成了供水量与失水量之间的不平衡。本文采用基于蒸散量的指数来评估农业干旱。我们将这一框架应用于伊朗东北部法里曼市附近一个研究较少的地区。我们选择了2015年和2016年两个时间段进行比较,这两个时间段分别与干旱和潮湿条件有关。为了计算干旱指数,采用SEBAL地表能量平衡算法、升级后的Priestley-Taylor方法和遥感数据估算实际蒸散和潜在蒸散。相对水分亏缺指数(RWDI)表明,旱季雨养地和牧场的缺水率为80% ~ 100%,而旱季雨养地和牧场的缺水率为50% ~ 70%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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