Investigating the effective factors on water area changes in Shadegan Wetland using remote sensing technique and factor analysis

F. Dargahian, Somayeh Heydarnejad, S. Nateghi
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Abstract

Investigating the effective factors on water area changes in Shadegan Wetland using remote sensing technique and factor analysis. Environmental ETM +, and OLI satellite data from 1998 to 2017 were used to monitor the water area of Shadegan Wetland. Various climatic, hydro-climatic, and water management factors were extracted for the study period in the whole watershed. The trend of changes and their relationship with changes in the wetland water area were investigated using the principal component analysis (PCA) method, and the factors that explained the highest variance of water changes were identified and analyzed. Results and discussion: The trend of changes in the water area of Shadegan Wetland was increasing . Data using KMO and Bartlett statistics showed that the studied elements were suitable for changes in water area based on factor analysis. The results of factor analysis showed that five factors played an important role in changing the water area of Shadegan Wetland. In total, five factors were able to explain 88.9% of the variance of the data; the first factor was the temperature, the area under cultivation, the number of earthen dams and drains entering the sugarcane, which explained approximately 36% of the variance. The second factor was the humidity of the basin which explained 15% of the variance. The third factor was the instant discharge’s drought that explained 14.9% of the total variance. The fourth factor was discharge and precipitation with 11.8%, and the fifth factor was wetland moisture, which explained 11.2% of the variance of water area changes. Conclusion: Wetlands that are situated at the foothills of watersheds are affected by the factors in the watershed. In total, five factors were able to explain 88.9% of the variance of the changes. In the first factor, apart from temperature, three factors that result from human activities were the most important: the area under cultivation due to the development of large irrigation projects, use of water sources of Jarahi River, which is the source of 90% of water input to the lagoon and numerous dams, dams upstream of the wetland that prevent the arrival of flood and seasonal runoff, and sugarcane drainage as inlet water to the wetland. In order to manage the wetland, reduction of human activities and utilization of water resources in order to provide the natural water of the wetland should be considered so that the wetland can continue as a living ecosystem.
利用遥感技术和因子分析研究沙德干湿地水域面积变化的影响因素
利用遥感技术和因子分析研究沙德干湿地水域面积变化的影响因素。利用1998 - 2017年环境ETM +和OLI卫星数据对沙德干湿地水域面积进行监测。在研究期间提取了整个流域的各种气候、水文气候和水管理因子。采用主成分分析(PCA)方法对湿地水域变化趋势及其与湿地水域变化的关系进行了研究,并对湿地水域变化方差最大的因子进行了识别和分析。结果与讨论:沙德干湿地水域面积变化趋势呈增加趋势。利用KMO统计和Bartlett统计的数据表明,因子分析表明所研究的元素适合于水域面积的变化。因子分析结果表明,五个因子对沙德干湿地水域面积的变化起着重要作用。总的来说,五个因素能够解释88.9%的数据方差;第一个因素是温度、种植面积、土坝的数量和进入甘蔗的排水沟,这解释了大约36%的差异。第二个因素是盆地的湿度,它解释了15%的差异。第三个因素是即时排水的干旱,解释了总方差的14.9%。排在第4位的因子是流量和降水,占11.8%;排在第5位的因子是湿地湿度,占水体面积变化变异的11.2%。结论:位于流域山麓的湿地受流域因子的影响。总的来说,五个因素能够解释88.9%的变化方差。在第一个因素中,除了温度之外,人类活动导致的三个因素是最重要的:由于大型灌溉项目的开发而耕种的面积,Jarahi河的水源的使用,这是泻湖90%的水输入的来源和众多水坝,湿地上游的水坝防止洪水和季节性径流的到来,以及甘蔗排水作为湿地的入口水。为了管理湿地,应考虑减少人类活动和利用水资源,以提供湿地的天然水,使湿地作为一个有生命的生态系统继续存在。
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