چکیده:
Drought as a natural but temporary imbalance of water availability is the interaction between natural environment and human life resulting in diminished water resources availability and reduced carrying capacity of the ecosystems. Drought indices are essential elements for an efficient drought monitoring system. These indices make the transforming information of climatic anomalies easier and allow the scientists to quantitatively assess the climatic anomalies. In this research drought condition in Hormozgan province, Iran based on RDI and SPI was studied and the effects of drought on groundwater resources have been studied as well. The highest correlation in almost all plains is related to long term periods (24 months) which show that drought becomes more important and hazardous in long term periods. However higher correlation of some plains like Minab plain with RDI&SPI 3 month shows the quick response of this plain to the meteorological droughts. The results are very useful tool for planners and decision makers to monitor the region based on its susceptibility to drought.
خلاصه ماشینی:
"Location of selected meteorological stations and nearest plains Occurring droughts have considerable effects on natural environments and human life of the region, then study of climatic parameters does not provide reliable results.
Groundwater level fluctuations also were monitored at the end of recharge period (August) and end of discharge (February) and the correlation of groundwater level with RDI and SPI was calculated for different short and long term time scales (Tables 5 -8).
According to Table 5, correlation coefficient between groundwater level and RDI & SPI in Esinshargh plain has some fluctuations in August; however Sarkhoon and Esinshargh have the highest correlation with the indices in 24 months period.
Pearson correlation coefficient of SPI and RDI with water level in August and February for Bandar Abbas and neighboring plains (View the image of this page) Table 7.
Pearson correlation coefficient of SPI and RDI with water level in August and February for Jask station and neighboring plains (View the image of this page) As shown in Table 6, the highest correlation coefficient is related to 24 months period for Parsian plain but in Bastak plain the correlation was too low.
Pearson correlation coefficient of SPI and RDI with water level in August and February for Minab station and neighboring plains (View the image of this page) Increasing agricultural productivity with groundwater irrigation, and lessening reliance on surface water sources, can reduce the impacts of predicted declines in rainfall.
However higher correlation of Minab plain and RDI&SPI three months shows the quick response of this plain to the meteorological droughts."