Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.20937/ATM.2019.32.02.03 |
Relationship between dust deposition rate and soil characteristics in an arid region of Iran | |
Aghasi, Bahareh; Jalalian, Ahmad; Khademi, Hossein; Besalatpour, Ali Asghar | |
通讯作者 | Aghasi, B (corresponding author), Islamic Azad Univ, Isfahan Khorasgan Branch, Dept Soil Sci, Esfahan, Iran. |
来源期刊 | ATMOSFERA
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ISSN | 0187-6236 |
出版年 | 2019 |
卷号 | 32期号:2页码:115-128 |
英文摘要 | Dust formation is one of the most seriously damaging environmental issues in and and semiarid areas. In this study, the decision tree-based Chi-square Automatic Interaction Detector (CHAID) algorithm was used to determine the non-linear relationships of soil physical and chemical properties with seasonal and annual dust deposition rate (DDR) in Gavkhouni swamp sub-basin, Central Iran. The results were compared with those obtained by the multiple linear regression (MLR) method. A set of 124 atmospheric dust samples was seasonally taken from 31 sites. A set of 96 surface soil samples was also collected. DDR and dust particle size distribution, as well as the physical and chemical properties of soil samples were investigated. The results showed that the highest and lowest DDR belonged to summer and autumn, respectively. Based on the CHAD) algorithm results, the most important soil properties affecting DDR in autumn, winter, spring and summer, as well as annual DDR were soil organic matter content (importance coefficient [IC] = 0.34), gypsum (IC = 0.42), sand (IC = 0.39), silt (IC = 0.31), and sand (IC = 0.23), respectively. Based on the CHAID algorithm results, it appears that particle size distribution of surface soil, especially sand content is a determinant factor affecting seasonal and annual DDR in the study area. In this study, the MLR model had unacceptable accuracy as compared with the non-linear CHAID algorithm method. Therefore, it seems that in areas with high ecological complexity and complex nonlinear relationships among input and output data, the nonlinear methods such as CHAD are superior to linear methods such as MLR. |
英文关键词 | Dust deposition rate (DDR) CHAID MLR Gavkhouni swamp sub-basin |
类型 | Article |
语种 | 英语 |
开放获取类型 | hybrid, Green Submitted |
收录类别 | SCI-E |
WOS记录号 | WOS:000499693900003 |
WOS关键词 | HEAVY-METALS POLLUTION ; AIRBORNE DUST ; PROVINCE ; IMPACTS ; MATTER ; LEAVES ; STORMS ; EAST ; SIZE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/369381 |
作者单位 | [Aghasi, Bahareh; Jalalian, Ahmad] Islamic Azad Univ, Isfahan Khorasgan Branch, Dept Soil Sci, Esfahan, Iran; [Khademi, Hossein] Isfahan Univ Technol, Dept Soil Sci, Coll Agr, Esfahan 8415683111, Iran; [Besalatpour, Ali Asghar] Inter 3 GmbH, Inst Resources Management, Otto Suhr Allee 59, D-10585 Berlin, Germany |
推荐引用方式 GB/T 7714 | Aghasi, Bahareh,Jalalian, Ahmad,Khademi, Hossein,et al. Relationship between dust deposition rate and soil characteristics in an arid region of Iran[J],2019,32(2):115-128. |
APA | Aghasi, Bahareh,Jalalian, Ahmad,Khademi, Hossein,&Besalatpour, Ali Asghar.(2019).Relationship between dust deposition rate and soil characteristics in an arid region of Iran.ATMOSFERA,32(2),115-128. |
MLA | Aghasi, Bahareh,et al."Relationship between dust deposition rate and soil characteristics in an arid region of Iran".ATMOSFERA 32.2(2019):115-128. |
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