Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Reliability–Resilience–Vulnerability Analysis of Droughts Over Maharashtra
Extreme events are one of the serious challenges society is facing with the changing climate; extreme events like droughts have a significant impact on both human and animal livelihood. In India, one of the most frequent natural calamities is drought, and its assessment is required in order to support policy makers and water managers in the region. This study presented reliability–resilience–vulnerability (R–R–V) analysis of droughts, which uses the duration and severity of drought properties, estimated using the Standardized Precipitation Index (SPI). The study is carried out over Maharashtra (grid-wise) at 0.25° resolution using the precipitation data collected from India Meteorological Department (IMD) for a period of 41 years (1980–2020). The spatial variation of drought parameters, duration and severity at 50, 70, and 90 percentile levels are plotted and analysed to elucidate the regions that have higher drought risks. The most resilient areas are Amaravati, part of the Nashik, and Konkan division. Nagpur and Aurangabad divisions require utmost attention as they have the least reliability. The R-R-V maps of Maharashtra strongly show that the Aurangabad division has the highest drought risk among the other divisions. The results clearly show that Vidarbha and Marathwada are more prone to droughts. The RRV index map showed Latur, Beed, Parbhani, Chandrapur, and Nagpur fall under high to very high category of drought risk. The spatial plots give a clear picture of the areas that require immediate action and thus can be helpful for decision-makers and government bodies.
Reliability–Resilience–Vulnerability Analysis of Droughts Over Maharashtra
Extreme events are one of the serious challenges society is facing with the changing climate; extreme events like droughts have a significant impact on both human and animal livelihood. In India, one of the most frequent natural calamities is drought, and its assessment is required in order to support policy makers and water managers in the region. This study presented reliability–resilience–vulnerability (R–R–V) analysis of droughts, which uses the duration and severity of drought properties, estimated using the Standardized Precipitation Index (SPI). The study is carried out over Maharashtra (grid-wise) at 0.25° resolution using the precipitation data collected from India Meteorological Department (IMD) for a period of 41 years (1980–2020). The spatial variation of drought parameters, duration and severity at 50, 70, and 90 percentile levels are plotted and analysed to elucidate the regions that have higher drought risks. The most resilient areas are Amaravati, part of the Nashik, and Konkan division. Nagpur and Aurangabad divisions require utmost attention as they have the least reliability. The R-R-V maps of Maharashtra strongly show that the Aurangabad division has the highest drought risk among the other divisions. The results clearly show that Vidarbha and Marathwada are more prone to droughts. The RRV index map showed Latur, Beed, Parbhani, Chandrapur, and Nagpur fall under high to very high category of drought risk. The spatial plots give a clear picture of the areas that require immediate action and thus can be helpful for decision-makers and government bodies.
Reliability–Resilience–Vulnerability Analysis of Droughts Over Maharashtra
Lecture Notes in Civil Engineering
Patel, Dhruvesh (Herausgeber:in) / Kim, Byungmin (Herausgeber:in) / Han, Dawei (Herausgeber:in) / Ganjir, Gaurav (Autor:in) / Janga Reddy, M. (Autor:in) / Karmakar, S. (Autor:in)
International Conference Innovation in Smart and Sustainable Infrastructure ; 2022 ; Gandhinagar, India
10.02.2024
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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