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首页> 外文期刊>Journal of Science and Technology of Agriculture and Natural Resources >Analyzing Piezometers’ Behavior to Determine the Lag Time of the Rainfall Effects on the Groundwater Level Fluctuations in the Alluvial Plain of Shiraz by Using SPI and GRI Indices
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Analyzing Piezometers’ Behavior to Determine the Lag Time of the Rainfall Effects on the Groundwater Level Fluctuations in the Alluvial Plain of Shiraz by Using SPI and GRI Indices

机译:用SPI和GRI指数,分析压力计的行为来确定降雨效应对平原地下水平原地下水位波动的滞后时间

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Groundwater supplies a major portion of two basic human needs: drinking and agricultural water. Forecasting, monitoring, evaluating the performance and planning of this vital resource require modelling. The lag time of the groundwater level fluctuations against the rainfall is one of the essential data of the models. The purpose of the present study was to evaluate the piezometers behaviour by using the Pearson cross-correlation method between SPI and GRI indices in the Shiraz alluvial plain in order to determine the mentioned lag time. The results showed a similar behaviour for 86.2% of the piezometers. In 79.3% of the piezometers, groundwater level was declined one month after the rainfall event. The best correlation coefficient between the aforementioned indices was observed along the southwestern to the northeastern axis of the plain. The northern alluvial plain has a better correlation, as compared to the southern section because of the northern-southern slope of the plain. The central area of the plain had the highest correlation coefficient. The maximum correlation coefficients occurred at a time scale of 48 months. Also, since 2004, due to the decline in the atmospheric precipitation in the Shiraz plain, the SPI index has surpassed the drought level, although the trend has not been significant. However, the GRI does not follow this trend, showing a significant hydrological drought. The reason can be the disproportionate water extraction to recharge ratio in the alluvial aquifer of the plain.
机译:地下水供应两种基本人类需求的主要部分:饮酒和农业水。预测,监测,评估该重要资源的性能和规划需要建模。地下水位水平波动的滞后时间是模型的基本数据之一。本研究的目的是通过使用SPI和GRI指数之间的Pearson互相关方法来评估压力计行为,以确定提到的滞后时间。结果表明,86.2%的压力计类似的行为。在79.3%的压力计中,地下水位在降雨事件后一个月下降。上述指数之间的最佳相关系数沿着西南观察到平原东北轴。由于平原北部的南部坡,北冲积平原具有更好的相关性,与南部截面相比。平原的中心区域具有最高的相关系数。最大相关系数在48个月的时间标度发生。此外,自2004年以来,由于Shiraz平原中的大气降水下降,SPI指数超越了干旱水平,尽管趋势并未显着。然而,GRI不遵循这种趋势,显示出显着的水文干旱。原因可以是普通加蓝含水层中充电比例的不成比例的水提取。

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