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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

机译:伊朗干旱地区脊回归法研究尘埃风暴指数,气候参数和归一化差异植被指数的关系

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摘要

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 (beta = +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 R-2 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.
机译:风侵蚀是一种严重的环境问题,由各种气候和陆地因素之间的相互作用引起。使用岭回归(RR)方法,本研究旨在研究2000 - 2014年中部伊朗干旱地区这些参数和尘埃风暴指数(DSI)的关系。通过沙子和灰尘玫瑰进一步检测到最尘埃季节中土壤颗粒的去除面积。结果表明,春季(DSI> 1)发生了最高的风腐蚀活动。 RR分析表明,在第一期(β= +0.38; p <.05)中,只有空气温度变化对DSI变化具有显着的阳性作用。对于第二个时期,降低降水量和增加的风速增加是影响DSI变化的最重要因素。关于95%置信水平的沉淀和风速的估计回归系数分别为(-1.02)和(+ 0.51)。基于R-2值,可以通过第一期的空气温度变化来解释27%的DSI变化。然而,通过降雨和风速发生在第二个时期的大约50%的DSI变化。这些结果说明了RR的有效应用,以阐明了DSI的气候和陆地因素的关系。进一步观察到,东北部,东南和伊朗中部地区的土壤颗粒的去除面积分别是东部,北部和西部。

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