利用 EO 数据集对印度中部各种降雨强度进行长期时空调查

Nitesh Awasthi, J. N. Tripathi, G. Petropoulos, Pradeep Kumar, A. Singh, K. Dakhore, Kripan Ghosh, Dileep Kumar Gupta, P. Srivastava, K. Kalogeropoulos, Sartajvir Singh, Dhiraj Kumar Singh
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引用次数: 0

摘要

本研究对 1991 年至 2020 年期间印度中部地区县一级的长期季节性降雨模式进行了调查,包括降雨模式的时空季节性趋势、降雨变异性、不同强度降雨日的趋势、长期降雨模式的十年百分比偏差、降雨事件及其各自强度的十年百分比偏差等各个方面。印度中部地区被细致地划分为不同的分区,即古吉拉特邦、达曼和迪乌邦、马哈拉施特拉邦、果阿邦、达德拉和纳加尔哈维利邦、中央邦、恰蒂斯加尔邦和奥迪沙邦。19 毫米)、季风前(古吉拉特邦为 6.65 毫米,奥迪沙邦为 132.89 毫米)、季风(古吉拉特邦为 845.46 毫米,果阿邦为 3188.21 毫米)和季风后(古吉拉特邦为 30.35 毫米,果阿邦为 213.87 毫米)。印度中部几乎所有地区在所有三个十年中所有季节的季节性降雨百分比偏差都显示出不均衡的模式,这表明了过去 30 年中季节性降雨的多变性。下列地区的季节性降雨偏差百分比模式出现了明显的变化:Rewa、Puri、Anuppur、Ahmadabad、Navsari、Chhindwara、Devbhumi Dwarka、Amreli、Panch Mahals、Kolhapur、Kandhamal、Ratnagiri、Porbandar、Bametara 和 Sabar Kantha。此外,与其他季节相比,季风季节的各类降雨日数更多。冬季的微量降雨日数较多。印度中部的季风季节降雨量最大的是微雨、小雨、中雨、大雨和暴雨。根据过去 30 年降雨事件的平均数量,与第三个十年(1991-2000 年)相比,过去二十年(2001-2020 年)各类降雨事件的比例有所下降。这项时空分析为了解印度中部的降雨趋势提供了宝贵的信息,这些趋势代表了地区差异以及受气候模式影响的潜在挑战。这项研究有助于我们了解不断变化的降雨动态,并为该地区有效的水资源管理提供了重要信息。
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Long-Term Spatiotemporal Investigation of Various Rainfall Intensities over Central India Using EO Datasets
This study involved an investigation of the long-term seasonal rainfall patterns in central India at the district level during the period from 1991 to 2020, including various aspects such as the spatiotemporal seasonal trend of rainfall patterns, rainfall variability, trends of rainy days with different intensities, decadal percentage deviation in long-term rainfall patterns, and decadal percentage deviation in rainfall events along with their respective intensities. The central region of India was meticulously divided into distinct subparts, namely, Gujarat, Daman and Diu, Maharashtra, Goa, Dadra and Nagar Haveli, Madhya Pradesh, Chhattisgarh, and Odisha. The experimental outcomes represented the disparities in rainfall distribution across different districts of central India with the spatial distribution of mean rainfall ranges during winter (2.08 mm over Dadra and Nagar Haveli with an average of 24.19 mm over Odisha), premonsoon (6.65 mm over Gujarat to 132.89 mm over Odisha), monsoon (845.46 mm over Gujarat to 3188.21 mm over Goa), and post-monsoon (30.35 mm over Gujarat to 213.87 mm over Goa), respectively. Almost all the districts of central India displayed an uneven pattern in the percentage deviation of seasonal rainfall in all three decades for all seasons, which indicates the seasonal rainfall variability over the last 30 years. A noticeable variation in the percentage deviation of seasonal rainfall patterns has been observed in the following districts: Rewa, Puri, Anuppur, Ahmadabad, Navsari, Chhindwara, Devbhumi Dwarka, Amreli, Panch Mahals, Kolhapur, Kandhamal, Ratnagiri, Porbandar, Bametara, and Sabar Kantha. In addition, a larger number of rainy days of various categories occurred in the monsoon season in comparison to other seasons. A higher contribution of trace rainfall events was found in the winter season. The highest contributions of very light, light rainfall, moderate, rather high, and high events were found in the monsoon season in central India. The percentage of various categories of rainfall events has decreased over the last two decades (2001–2020) in comparison to the third decade (1991–2000), according to the mean number of rainfall events in the last 30 years. This spatiotemporal analysis provides valuable insights into the rainfall trends in central India, which represent regional disparities and the potential challenges impacted by climate patterns. This study contributes to our understanding of the changing rainfall dynamics and offers crucial information for effective water resource management in the region.
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