Long-Term Spatiotemporal Investigation of Various Rainfall Intensities over Central India Using EO Datasets

被引：5

作者：

Awasthi, Nitesh ^{[1
]}

Tripathi, Jayant Nath ^{[1
]}

Petropoulos, George P. ^{[2
]}

Kumar, Pradeep ^{[3
]}

Singh, Abhay Kumar ^{[4
]}

Dakhore, Kailas Kamaji ^{[5
]}

Ghosh, Kripan ^{[6
]}

Gupta, Dileep Kumar ^{[4
]}

Srivastava, Prashant K. ^{[7
]}

Kalogeropoulos, Kleomenis ^{[8
]}

Singh, Sartajvir ^{[9
]}

Singh, Dhiraj Kumar ^{[10
]}

机构：

[1] Univ Allahabad, Dept Earth & Planetary Sci, Prayagraj 211002, Uttar Pradesh, India

[2] Harokopio Univ Athens, Dept Geog, El Venizelou St 70, Athens 17671, Greece

[3] Kamla Nehru Inst Technol, Dept Appl Sci & Humanities, Sultanpur 228118, Uttar Pradesh, India

[4] Banaras Hindu Univ, Inst Sci, Dept Phys, Varanasi 221005, Shivdaspur, India

[5] Vasantrao Naik Marathwada Krishi Vidyapeeth, AICRP Agrometeorol, Parbhani 431402, Maharashtra, India

[6] Indian Meteorol Dept, Pune 110003, Maharashtra, India

[7] Banaras Hindu Univ, Inst Environm & Sustainable Dev, Varanasi 221005, Shivdaspur, India

[8] Univ West Attica, Dept Surveying & Geoinformat Engn, Ag Spyridonos Str, Egaleo 12243, Greece

[9] Chandigarh Univ, Univ Inst Engn, Mohali 140413, Punjab, India

[10] Chandigarh Univ, Kalpana Chawla Ctr Res Space Sci & Technol, Mohali 140413, Punjab, India

来源：

HYDROLOGY | 2024年 / 11卷 / 02期

关键词：

rainfall; trend analysis; rain days; spatiotemporal; climate; CLIMATE-CHANGE; MONSOON RAINFALL; PRECIPITATION; IMPACTS; TRENDS; TEMPERATURE; SUBSURFACE; SURFACE; MODEL;

D O I：

10.3390/hydrology11020027

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

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.

引用

页数：24

共 42 条

[1] Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department [J].

Awasthi, Nitesh ;

Tripathi, Jayant Nath ;

Petropoulos, George P. ;

Gupta, Dileep Kumar ;

Singh, Abhay Kumar ;

Kathwas, Amar Kumar .

REMOTE SENSING, 2023, 15 (13)

[2] Appraisal of Climate Response to Vegetation Indices over Tropical Climate Region in India [J].

Awasthi, Nitesh ;

Tripathi, Jayant Nath ;

Petropoulos, George P. ;

Gupta, Dileep Kumar ;

Singh, Abhay Kumar ;

Kathwas, Amar Kumar ;

Srivastava, Prashant K. .

SUSTAINABILITY, 2023, 15 (07)

[3] Characteristics of monsoon rainfall around the Himalayas revealed by TRMM precipitation radar [J].

Bhatt, BC ;

Nakamura, K .

MONTHLY WEATHER REVIEW, 2005, 133 (01) :149-165

[4]

Chauhan AS, 2022, Results in Geophysical Sciences, V10, P100041, DOI [10.1016/j.ringps.2022.100041, DOI 10.1016/J.RINGPS.2022.100041, 10.1016/j.ringps.2022.100041]

[5] Spatial analysis of temporal trend of rainfall and rainy days during the Indian Summer Monsoon season using daily gridded (0.5° x 0.5°) rainfall data for the period of 1971-2005 [J].