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Addressing drought conditions under current and future climates in the Jordan River region

机译:解决约旦河地区当前和未来气候下的干旱条件

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The Standardized Precipitation–Evaporation Index (SPEI) was applied in orderto address the drought conditions under current and future climates in theJordan River region located in the southeastern Mediterranean area. In thefirst step, the SPEI was derived from spatially interpolated monthlyprecipitation and temperature data at multiple timescales: accumulatedprecipitation and monthly mean temperature were considered over a number oftimescales – for example 1, 3, and 6 months. To investigate the performanceof the drought index, correlation analyses were conducted with simulated soilmoisture and the Normalized Difference Vegetation Index (NDVI) obtained fromremote sensing. A comparison with the Standardized Precipitation Index (SPI),i.e., a drought index that does not incorporate temperature, was alsoconducted. The results show that the 6-month SPEI has the highest correlationwith simulated soil moisture and best explains the interannual variation ofthe monthly NDVI. Hence, a timescale of 6 months is the most appropriate whenaddressing vegetation growth in the semi-arid region. In the second step, the6-month SPEI was derived from three climate projections based on the Intergovernmental Panel onClimate Change emission scenario A1B. When comparing the period 2031–2060 with 1961–1990,it is shown that the percentage of time with moderate, severe and extremedrought conditions is projected to increase strongly. To address the impactof drought on the agricultural sector, the irrigation water demand duringcertain drought years was thereafter simulated with a hydrological model on aspatial resolution of 1 km. A large increase in the demand for irrigationwater was simulated, showing that the agricultural sector is expected tobecome even more vulnerable to drought in the future.
机译:为了解决地中海东南部约旦河地区当前和未来气候下的干旱状况,应用了标准降水-蒸发指数(SPEI)。第一步,从多个时间尺度上的空间插值月降水和温度数据得出SPEI:在多个时间尺度上(例如1、3和6个月)考虑累积降水和月平均温度。为了研究干旱指数的表现,利用模拟土壤水分和通过遥感获得的归一化植被指数(NDVI)进行了相关分析。还进行了与标准降水指数(SPI)的比较,即不包含温度的干旱指数。结果表明,六个月的SPEI与模拟的土壤水分具有最高的相关性,并且可以最好地解释月度NDVI的年际变化。因此,处理半干旱地区的植被生长最合适的时间是6个月。第二步,根据政府间气候变化专门委员会A1B的三个气候预测得出六个月的SPEI。当将2031-2060年与1961-1990年进行比较时,表明中度,严重和极端干旱条件下的时间百分比预计会大大增加。为了解决干旱对农业部门的影响,此后使用1 km的空间分辨率水文模型模拟了在某些干旱年份的灌溉水需求。模拟了对灌溉水需求的大幅增长,表明未来的农业部门有望变得更加脆弱。

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