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Urmia Lake dust storms occurrences: investigating the relationships with changes in water zone and land cover in the eastern part using remote sensing and GIS

机译:荨麻疹湖尘风暴发生:使用遥感和GIS调查与东部水域和地区陆地覆盖的关系

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Urmia Lake is the largest lake in the Middle East which has greatly decreased in recent years. It has had a great impact on the environmental properties of areas around the lake. This study aimed to identify the relationship among dust storms in the eastern part of Urmia Lake and the surrounding vegetation due to the annual and long-term variability of this water zone during the statistical period 1999-2019. Normalized difference water index (NDWI), normalized difference vegetation index (NDVI), Aerosol Optical Depth (AOD), and Dust Storm Index (DSI) were used due to trend and correlation analysis models and T-student analysis. The study results found that, first, the decreasing trend of Urmia Lake, directly and significantly, has led to an increase in dust concentration (AOD) in the lake's eastern part. On the other hand, changes in the water level of Lake Urmia have led to a general decreasing trend in vegetation in the region which led to an increase in the frequency of DSI in the region. The model developed showed that changes in the water zone of Urmia Lake as a very powerful driver leads to an increase in the intensity and frequency of dust storms in the eastern part of the lake and intensifies the dust conditions in the region. The synergistic resultant of these two drivers was maximized in years when both lake area and vegetation were at a minimum at the same time (2011-2016). The estimated scenario of this model is that if the decreasing trend of Urmia Lake intensifies in the study area, more frequent and severe dust storms will occur in the region.
机译:Urmia Lake是中东最大的湖泊,近年来大大降低。它对湖周围地区的环境特性产生了很大影响。本研究旨在识别荨麻湖东部的尘暴与周围植被的关系,因为1999 - 2019年统计期间该水域的年度和长期变异性。由于趋势和相关性分析模型和T学生分析,使用了归一化差异水指数(NDWI),归一化差异植被指数(NDVI),气溶胶光学深度(AOD)和尘埃风暴指数(DSI)。研究结果发现,首先,直接且显着地,荨麻湖湖的趋势降低,导致湖东部门的尘埃浓度(AOD)增加。另一方面,乌西米湖水位的变化导致了该地区植被中的一般趋势,导致该地区DSI的频率增加。该模型的开发表明,Urmia Lake水域的变化作为一个非常强大的驾驶员导致湖东部门中尘风暴的强度和频率的增加,并加剧了该地区的尘埃条件。在湖泊面积和植被的同时(2011-2016)的最低限度时,这两个驱动因素的协同结果最大化。该模型的估计场景是,如果在研究区域的荨麻湖的趋势下降,该地区将发生更频繁和严重的暴风雨。

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