评估干旱地区荒漠化变化的方向(案例研究:伊朗塞姆南县)

Desert Pub Date : 2019-12-01 DOI:10.22059/JDESERT.2019.76362
S. Bazgeer, H. Fakhravar, A. D. Astane, A. Shamsipour
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引用次数: 1

摘要

荒漠化是对世界的严重生态、环境和社会经济威胁,迫切需要制定合理的方法,在不同的时空尺度上对其进行评估。本研究旨在探讨伊朗塞姆南县荒漠化变化的主要方向。使用月降水量计算12个月的SPI(标准化降水指数),并使用LandsatThematicMapper(TM)传感器获得的4月份的标准化差异植被指数(NDVI)来计算这三年,即1987年、1998年和2011年。一级确定了五个主要类别,并将其细分为11个类别,其中包括1个。住宅区,2。植被,3。裸露和岩石区域,4。盐碱地和5。沙地。结果表明,NDVI值的降低与土地利用/土地覆盖的变化一致。这一进展发生在一些地区,从裸土发展到盐碱地,以及一些地区,特别是从1987年到1998年,随着沙地的扩大。结果表明,从1987年到1998年和从1998年到2011年,盐土面积分别增加了348.24和721.57平方公里。结果表明,荒漠化的发生速度很快,特别是在研究区的东部和东南方向。那是朝着达什特恩卡维尔和达姆汉城。结果表明,除了使用NDVI和SPI进行干旱监测外,温度、日照时数和蒸发量等气象变量也可以提高结果的解释精度。
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Assessing Direction of desertification changes in an Arid Region (A Case study: Semnan County, Iran)
Desertification is a serious ecological, environmental, and socio-economic threat to the world, and there is an urgent need to develop rational methods for its evaluation at different spatio-temporal scales. This study aimed to address the main directions of desertification changes in Semnan County, Iran. Monthly precipitation was used to calculate a 12-month SPI (Standardized Precipitation Index) and the normalized difference vegetation index (NDVI) obtained by LandsatThematicMapper (TM) sensor of April month were used for the three years, viz., 1987, 1998, and 2011. Five major categories were identified at level-I and they were subdivided into 11 categories including, 1. Residential areas, 2. Vegetation, 3. Bare and rocky areas, 4. Salt lands and 5. Sand areas. The results indicated that the reduction of the NDVI values was consistent with the changes in land use/land cover. This progress was taken place in some areas with the development of bare soil to salt land, and in some areas with the expansion of sand land, particularly from 1987 to 1998. The results indicated that the salt lands increased 348.24 and 721.57 square kilometers from 1987 to 1998 and from 1998 to 2011, respectively. The results revealed that desertification occurred at a rapid rate, especially towards the east and southeast directions in the study area. That was, towards the Dasht-e-Kavir and Damghan City. The results showed that besides using NDVI and SPI for drought monitoring, the meteorological variables such as temperature, sunshine hours and evaporation could improve the accuracy of interpretation of the results.
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