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Investigation of the relationship between dust storm index, climatic parameters, and normalized difference vegetation index using the ridge regression method in arid regions of Central Iran
Arid Land Research and Management ( IF 1.9 ) Pub Date : 2019-11-27 , DOI: 10.1080/15324982.2019.1694087
Zohre Ebrahimi Khusfi 1 , Fatemeh Roustaei 2 , Mohsen Ebrahimi Khusfi 3 , Somayeh Naghavi 4
Affiliation  

Abstract Wind erosion is a serious environmental issue caused by the interaction between various climatic and terrestrial factors. Using the ridge regression (RR) method, the present study aimed to investigate the relationship between these parameters and dust storm index (DSI) in arid regions of Central Iran during 2000–2014. The removal area of soil particles in the dustiest season was further detected via sand and dust roses. The results showed that the highest activity of wind erosion occurred in spring (DSI > 1). The RR analysis indicated that only the air temperature changes had a significant positive effect on DSI variations during the first period (β = +0.38; p < .05). For the second period, decreased precipitation and increased wind velocity were identified as the most important factors influencing the DSI variations. The estimated regression coefficients concerning precipitation and wind speed at 95% confidence level were (−1.02) and (+0.51), respectively. Based on the R2 value, 27% of the DSI changes could be explained by the air temperature variations in the first period. However, approximately 50% of the DSI variations were explained by the rainfall and wind speed changes in the second period. These results illustrate the effective application of RR to elucidate the relationship of climatic and terrestrial factors with DSI. It was further observed that the removal area of soil particles in the northeastern, southeastern, and western parts of Central Iran was easterly, northerly, and westerly, respectively.

中文翻译:

伊朗中部干旱地区沙尘暴指数、气候参数和归一化差异植被指数之间的关系使用岭回归方法调查

摘要 风蚀是由各种气候和陆地因素相互作用引起的严重环境问题。本研究使用岭回归 (RR) 方法,旨在调查 2000-2014 年伊朗中部干旱地区这些参数与沙尘暴指数 (DSI) 之间的关系。通过沙尘玫瑰进一步检测了沙尘暴季节土壤颗粒的清除面积。结果表明,春季风蚀活动最活跃(DSI > 1)。RR 分析表明,只有气温变化对第一阶段的 DSI 变化有显着的积极影响(β = +0.38;p < .05)。在第二阶段,降水减少和风速增加被确定为影响 DSI 变化的最重要因素。在 95% 置信水平下,有关降水和风速的估计回归系数分别为 (-1.02) 和 (+0.51)。根据 R2 值,27% 的 DSI 变化可以用第一阶段的气温变化来解释。然而,大约 50% 的 DSI 变化可以用第二个时期的降雨和风速变化来解释。这些结果说明了 RR 的有效应用,以阐明气候和陆地因素与 DSI 的关系。进一步观察到,伊朗中部东北部、东南部和西部的土壤颗粒去除区域分别为东、北和西。27% 的 DSI 变化可以用第一阶段的气温变化来解释。然而,大约 50% 的 DSI 变化可以用第二个时期的降雨和风速变化来解释。这些结果说明了 RR 的有效应用,以阐明气候和陆地因素与 DSI 的关系。进一步观察到,伊朗中部东北部、东南部和西部的土壤颗粒去除区域分别为东、北和西。27% 的 DSI 变化可以用第一阶段的气温变化来解释。然而,大约 50% 的 DSI 变化是由第二阶段的降雨和风速变化解释的。这些结果说明了 RR 的有效应用,以阐明气候和陆地因素与 DSI 的关系。进一步观察到,伊朗中部东北部、东南部和西部的土壤颗粒去除区域分别为东、北和西。这些结果说明了 RR 的有效应用,以阐明气候和陆地因素与 DSI 的关系。进一步观察到,伊朗中部东北部、东南部和西部的土壤颗粒去除区域分别为东、北和西。这些结果说明了 RR 的有效应用,以阐明气候和陆地因素与 DSI 的关系。进一步观察到,伊朗中部东北部、东南部和西部的土壤颗粒去除区域分别为东、北和西。
更新日期:2019-11-27
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