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.
Department of Agricultural Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, UP, 221005, India.
J Environ Manage. 2023 Jan 1;325(Pt B):116646. doi: 10.1016/j.jenvman.2022.116646. Epub 2022 Nov 3.
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 21 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.
地球气候从一个地带向另一个地带的转变是生物多样性丧失、农村-城市迁移和粮食危机加剧的主要原因之一。由于气候变化,干湿地带的过渡率在过去几十年中显著增加。然而,气候变化引起的降雨变化对气候带过渡的精确量化仍然是一个挑战。为了解决这个问题,代表性网格位置-多元自适应回归样条(RGL-MARS)降尺度算法与科彭气候分类方案相结合,对研究区域的各种气候带的未来变化进行预测。结果表明,与干旱聚类相比,该模型在潮湿聚类中的性能更好。研究发现,到 21 世纪末,印度西部的干旱地区将略有增加,而湿润地区将增加 24.28-36.09%。相比之下,研究区域的半干旱和半湿润地区的面积将会减少。研究发现,由于气候变化导致的海陆热力对比增强,阿拉伯海周边地区的半湿润地区将向湿润地区广泛转变。同样,由于来自阿拉伯地区的干燥空气的流入,半干旱地区向干旱地区的转变也会增加。本研究将有助于研究人员和政策制定者采取适当措施,降低气候带转变的速度,从而提高农村和城市人口的社会经济地位。