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Impact of climate change induced future rainfall variation on dynamics of arid-humid zone transition in the western province of India.
Panda, Kanhu Charan; Singh, R M; Singh, Vijay Kumar; Singla, Saurav; Paramaguru, Pradosh Kumar.
Afiliación
  • Panda KC; Department of Agricultural Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, UP, 221005, India; Department of Soil Conservation, National PG College (Barhalganj), DDU Gorakhpur University, Gorakhpur, UP, 273402, India. Electronic address: kanhucharan.bm@gmail.com.
  • Singh RM; Department of Agricultural Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, UP, 221005, India. Electronic address: mandirsingh@rediffmail.com.
  • Singh VK; Department of Soil and Water Conservation Engineering, Mahamaya College of Agriculture Engineering and Technology, Acharya Narendra Deva University of Agriculture And Technology, Kumarganj, Ayodhya, UP, 224229, India. Electronic address: vijaysinghswce@gmail.com.
  • Singla S; Department of Agricultural Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, UP, 221005, India. Electronic address: s00singla@gmail.com.
  • Paramaguru PK; ICAR-National Institute of Secondary Agriculture (NISA), Ranchi, Jharkhand, 834010, India. Electronic address: pradoshparamaguru@gmail.com.
J Environ Manage ; 325(Pt B): 116646, 2023 Jan 01.
Article en En | MEDLINE | ID: mdl-36335699
ABSTRACT
The transition of the Earth's climate from one zone to another is one of the major causes behind biodiversity loss, rural-urban migration, and increasing food crises. The rising rate of arid-humid zone transition due to climate change has been substantially visible in the last few decades. However, the precise quantification of the climate change-induced rainfall variation on the climate zone transition still remained a challenge. To solve the issue, the Representative Grid Location-Multivariate Adaptive Regression Spline (RGL-MARS) downscaling algorithm was coupled with the Koppen climate classification scheme to project future changes in various climate zones for the study area. It was observed that the performance of the model was better for the humid clusters compared to the arid clusters. It was noticed that, by the end of the 21st century, the arid region would increase marginally and the humid region would rise by 24.28-36.09% for the western province of India. In contrast, the area of the semi-arid and semi-humid regions would decline for the study area. It was observed that there would be an extensive conversion of semi-humid to humid zone in the peripheral region of the Arabian sea due to the strengthening of land-sea thermal contrast caused by climate change. Similarly, semi-arid to arid zone conversion would also increase due to the inflow of dry air from the Arabian region. The current research would be helpful for the researchers and policymakers to take appropriate measures to reduce the rate of climate zone transition, thereby developing the socioeconomic status of the rural and urban populations.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cambio Climático / Biodiversidad País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cambio Climático / Biodiversidad País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article