Applicability Analysis of Vegetation Condition and Dryness for Sand and Dust Storm (SDS) Risk Reduction in SDS Source and Receptor Region

Eunbeen Park, Jiwon Kim, Cholho Song, Hyun-Woo Jo, Sujong Lee, Sea Jin Kim, Sugyeong Park, Chul-Hee Lim and Woo-Kyun Lee
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Eunbeen Park: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Korea
Jiwon Kim: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Korea
Cholho Song: OJEong Resilience Institute (OJERI), Korea University, Seoul 02841, Korea
Hyun-Woo Jo: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Korea
Sujong Lee: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Korea
Sea Jin Kim: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Korea
Sugyeong Park: Department of Climatic Environment and Graduate School of Life and Environmental Sciences, Korea University, Seoul 02841, Korea
Chul-Hee Lim: OJEong Resilience Institute (OJERI), Korea University, Seoul 02841, Korea
Woo-Kyun Lee: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Korea

Sustainability, 2020, vol. 12, issue 18, 1-20

Abstract: Central Asian countries, which are included the Mid-Latitude Region (MLR), need to develop regional adaptive strategies for reducing Sand and Dust Storm (SDS)-induced negative damages based on adequate information and data. To overcome current limitation about data and assessment approaches in this region, the macroscale verified methodologies were required. Therefore, this study analyzed environmental conditions based on the SDS impacts and regional differences of SDS sources and receptors to support regional SDS adaptation plans. This study aims to identify environmental conditions based on the phased SDS impact and regional differences of SDS source and receptor to support regional adaptation plans in MLR. The Normalized Difference Vegetation Index (NDVI), Aridity Index (AI), and SDS frequency were calculated based on satellite images and observed meteorological data. The relationship among SDS frequency, vegetation, and dryness was determined by performing statistical analysis. In order to reflect phased SDS impact and regional differences, SDS frequency was classified into five classes, and representative study areas were selected by dividing source and receptor in Central Asia and East Asia. The spatial analysis was performed to characterize the effect of phased SDS impact and regional distribution differences pattern of NDVI and AI. The result revealed that vegetation condition was negatively correlated with the SDS frequency, while dryness and the SDS frequency were positively correlated. In particular, the range of dryness and vegetation was related to the SDS frequency class and regional difference based on spatial analysis. Overall, the Aral Sea and the Caspian Sea can be considered as an active source of SDS in Central Asia, and the regions were likely to expand into potential SDS risk areas compared to East Asia. This study presents the possibility of potential SDS risk area using continuously monitored vegetation and dryness index, and aids in decision-making which prioritizes vegetation restoration to prevent SDS damages with the macrolevel approach in the MLR perspective.

Keywords: Mid-Latitude Region (MLR); Normalized Difference Vegetation Index (NDVI); Aridity Index (AI); source and receptor; regional differences; Disaster Risk Reduction (DRR) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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