4.1 Article

MONITORING AND SURVEY OF SNOW CLIMATOLOGICAL PARAMETER AREA USING REMOTE SENSING DATA IN ZAGROS MOUNTAINS RANGE, LOCATED ON THE EASTERN BORDER OF IRAQ

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Carpathian Assoc Environment and Earth Sciences
DOI: 10.26471/cjees/2020/015/149

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Terra Satellite Data; Snowfall; NDSI Index; GRACE Sensor; Groundwater aquifer; Iran

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As snowfall plays a vital role in the supply of water resources to all living things on the planet, its wasting must be avoided by careful planning. In recent decades, with the rising temperatures of the Earth and the melting of mountain snow, many scientists have taken the view of this natural hazard, so it is important to address this issue. The purpose of this study is to monitor and analyze the snow area and depth in the Zagros mountain range. For this purpose, TERRA - MODIS satellite image data for Iran were used. The timeframe of the selected images is between 2000 and 2019. Tips for selecting images are taken into account, with an averaging three months (Jan, Feb and Mar) image of winter in each year. Based on the results, the decreasing trend of groundwater aquifer trend with the amount of snowfall in the study area is highly correlated at the level of 0.94% and this decrease has been highly correlated since 2007 onwards. The largest decline in groundwater use by the CSR model was in November 2017 with 18.29 cm. The maximum average of three-month snowfall variations (January, February and March) in the study area during the period (2000 to 2019) was 55.16 cm in 2008. Average quarterly snow depth variations (January, February and March) fluctuated in the study area, the most severe between 2007 and 2014, with 2008 snowfall averaging 110.21 cm. According to the comparisons made during the study period, the lowest snow cover area was for the winter quarter (Jan, Feb and Mar) of 2018 with a value of 3919.423 km(2) and the highest was obtained for the quarter of 2007 with the amount of 86515.925 km(2). These results imply that the relevant authorities in the study area must adopt careful planning in water resources management.

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