Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin, India

Masroor, Md; Sajjad, Haroon; Rehman, Sufia et al.

Geoscience Frontiers, 2022, 13(2), 101312

Permalink : https://hdl.handle.net/2115/85353

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アクセス権
metadata only access
URI
https://hdl.handle.net/2115/85353
タイトル
Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin, India
著者
Masroor, Md ; Sajjad, Haroon ; Rehman, Sufia ; Singh, Roshani ; Rahaman, Md Hibjur ; Sahana, Mehebub ; Ahmed, Raihan ; Avtar, Ram
著者名
Masroor, Md
著者名
Sajjad, Haroon
著者名
Rehman, Sufia
著者名
Singh, Roshani
著者名
Rahaman, Md Hibjur
著者名
Sahana, Mehebub
著者名
Ahmed, Raihan
e-Rad_Researcher
90648057
著者名
Avtar, Ram
言語
英語
キーワード
Drought vulnerability
Soil erosion
RUSLE
Vegetation Health Index (VHI)
Godavari middle sub-basin
発行日
2022-03
出版者
China University of Geosciences, Beijing
収録物名
Geoscience Frontiers
巻(号)
13(2)
ページ
101312
抄録
Drought is a natural phenomenon posing severe implications for soil, groundwater and agricultural yield. It has been recognized as one of the most pervasive global change drivers to affect the soil. Soil being a weakly renewable resource takes a long time to form, but it takes no time to degrade. However, the response of soil to drought conditions as soil loss is not manifested in the existing literature. Thus, this study makes a concerted effort to analyze the relationship between drought conditions and soil erosion in the middle sub-basin of the Godavari River in India. MODIS remote sensing data was utilized for driving drought indices during 2000-2019. Firstly, we constricted Temperature condition index (TCI) and Vegetation Condition Index (VCI) from Land Surface Temperature (LST) and Enhanced Vegetation Index (EVI) derived from MODIS data. TCI and VCI were then integrated to determine the Vegetation Health Index (VHI). Revised Universal Soil Loss Equation (RUSLE) was utilized for estimating soil loss. The relationship between drought condition and vegetation was ascertained using the Pearson correlation. Most of the northern and southern watersheds experienced severe drought condition in the sub-basin during 2000-2019. The mean frequency of the drought occurrence was 7.95 months. The average soil erosion in the sub-basin was estimated to be 9.88 t ha (1) year (1). A positive relationship was observed between drought indices and soil erosion values (r value being 0.35). However, wide variations were observed in the distribution of spatial correlation. Among various factors, the slope length and steepness were found to be the main drivers of soil erosion in the sub-basin. Thus, the study calls for policy measures to lessen the impact of drought and soil erosion. (C) 2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V.
資源タイプ
学術雑誌論文
出版タイプ
Version of Record
PISSN
1674-9871
NCID
AA12508981
関連情報 (isIdenticalTo)
出版社版DOI
https://doi.org/10.1016/j.gsf.2021.101312