Assessing the Influence of Land Use/Land Cover Alteration on Climate Variability : An Analysis in the Aurangabad District of Maharashtra State, India

Masroor, Md; Avtar, Ram; Sajjad, Haroon; Choudhari, Pandurang; Kulimushi, Luc Cimusa; Khedher, Khaled Mohamed; Komolafe, Akinola Adesuji; Yunus, Ali P.; Sahu, Netrananda

Assessing the Influence of Land Use/Land Cover Alteration on Climate Variability : An Analysis in the Aurangabad District of Maharashtra State, India

Masroor, Md; Avtar, Ram; Sajjad, Haroon et al.

Sustainability, 2022, 14(2), 642

Permalink : https://hdl.handle.net/2115/84296

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アクセス権	metadata only access
URI	https://hdl.handle.net/2115/84296
タイトル	Assessing the Influence of Land Use/Land Cover Alteration on Climate Variability : An Analysis in the Aurangabad District of Maharashtra State, India
著者	Masroor, Md ; Avtar, Ram ; Sajjad, Haroon ; Choudhari, Pandurang ; Kulimushi, Luc Cimusa ; Khedher, Khaled Mohamed ; Komolafe, Akinola Adesuji ; Yunus, Ali P. ; Sahu, Netrananda
著者名 Masroor, Md
e-Rad_Researcher 90648057 著者名 Avtar, Ram
著者名 Sajjad, Haroon
著者名 Choudhari, Pandurang
著者名 Kulimushi, Luc Cimusa
著者名 Khedher, Khaled Mohamed
著者名 Komolafe, Akinola Adesuji
著者名 Yunus, Ali P.
著者名 Sahu, Netrananda
言語	英語
キーワード	climate variability
	google earth engine
	machine learning algorithm
	random forest
	support vector machine
	multiple linear regression
発行日	2022-01-07
出版者	MDPI
収録物名	Sustainability
巻(号)	14(2)
ページ	642
抄録	Examining the influence of land use/land cover transformation on meteorological variables has become imperative for maintaining long-term climate sustainability. Rapid growth and haphazard expansion have caused the conversion of prime agricultural land into a built-up area. This study used multitemporal Landsat data to analyze land use/land cover (LULC) changes, and Terra Climate monthly data to examine the impact of land transformation on precipitation, minimum and maximum temperature, wind speed, and soil moisture in the Aurangabad district of Maharashtra state in India during 1999-2019. Multiple linear regression and correlation analysis were performed to determine the association among LULC classes and climatic variables. This study revealed rapid urbanization in the study area over the years. The built-up area, water bodies, and barren lands have recorded a steep rise, while the agricultural area has decreased in the district. Drastic changes were observed in the climatic variables over the years. The precipitation and wind speed have shown decreasing trends during the study period. A positive relationship between soil moisture and agricultural land was found through a correlation analysis. Conspicuous findings about the positive relationship between the agricultural land and maximum temperature need further investigation. A multiple linear regression analysis demonstrated a negative relationship between the built-up area and precipitation. The intensity of the precipitation has reduced as a consequence of the developmental activities in the study area. Moreover, a positive relationship was observed between the built-up area and maximum temperature. Thus, this study calls for policy implications to formulate a futuristic land-use plan considering climate change projection in the district.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
PISSN	2071-1050
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.3390/su14020642