The study of rainfall trends and spatio-temporal evolution (patterns) helps in understanding and planning the utilization of water resources for diverse sectors of the economy, such as agriculture and industries, and also provides indications of climate change. The present study investigates trends and patterns of seasonal, half yearly, and annual rainfall over Visakhapatnam-Chennai Industrial Corridor (VCIC) using non-parametric Mann Kendall and Getis-Ord-Gi* statistics at a district level from 1901 to 2015. The annual rainfall trend for the entire VCIC region shows a significant positive trend at 90%, which is driven by a significant positive trend in monsoons. The intensity of spatial pattern differs across the seasons. However, the annual pattern shows an intensifying hot spot (23% of VCIC), oscillating hot spot (23%), and no pattern (18%). The positive trend in rainfall during monsoon seasons in north-eastern districts and post-monsoon seasons in the southern districts of VCIC has influenced the intensifying hot spot patterns. These trends and patterns are required for carrying out a climate risk assessment for various sectors like urban and industrial areas to plan and propose suitable adaptation measures to cope with extreme rainfall events.

对降雨趋势和时空演变（模式）的研究有助于理解和规划水资源在农业，工业等不同经济部门的利用，并为气候变化提供指示。本研究使用非参数Mann Kendall和Getis-Ord-Gi *统计数据，从1901年至2015年，研究了Visakhapatnam-Chennai工业走廊（VCIC）的季节性，半年和年度降雨的趋势和模式。整个VCIC地区的降雨趋势显示出90％的显着正趋势，这是由季风的显着正趋势驱动的。整个季节的空间格局强度不同。但是，年度模式显示热点在加剧（VCIC的23％），热点在不断波动（23％）而没有模式（18％）。VCIC东北地区季风季节和南部地区季风后季节降雨的积极趋势影响了热点格局的加剧。这些趋势和模式是对城市和工业区等各个部门进行气候风险评估所必需的，以计划和提出适当的适应措施以应对极端降雨事件。