Identification of drought intensity and development of drought resilience in the Rayalaseema region of Andhra Pradesh, India

Sankriti, Ramanarayan; Saravanan, Subbarayan; Aluru, Manjunath; Singh, Leelambar; Jennifer, Jesudasan Jacinth; Abijith, Devanantham

doi:10.1016/b978-0-323-85195-4.00017-2

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…A meteorological subdivision is deemed to be impacted by meteorological drought if it perceives total periodic rainfall beneath 75% of the normal amount, according to the Indian Meteorological Department (IMD). SPI and RDI are used to quantify the likelihood of drought severity and extremity, frequency, and recovery period in order to assess the community's flexibility over time in Rayalseema (Sankriti et al 2021). According to Olsen et al (1987), the Rayalseema water issue includes two components: less rain and less groundwater in tanks and wells.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Rayalseema Meteorological Subdivision’s Drought Using Multiple Drought Indices

Panigrahi,

Vidyarthi

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Drought is the most prominent natural disaster, which affects various parts of the globe. It is not simply the lack of rainfall, but also how unevenly it occurs during the season, how long the lack of rainfall has lasted and how it has impacted the agriculture, economy and the way of life in the region. The meteorological conditions of a region directly impact various water requirements and are linked to hydrologic, agricultural and socio-economic drought conditions. Thus, it becomes crucial to monitor and characterize meteorological drought of the region to adopt suitable water management practices. The purpose of this research study is to evaluate the meteorological drought conditions over Rayalseema meteorological subdivision of India using multiple drought indices employing historical precipitation (PRCN) and temperature (TEMPR) data obtained from Indian Meteorological Department (IMD) at a resolution of 1°x1°. Three different meteorological drought indices namely, Standardized Precipitation Index (SPI), Reconnaissance Drought Index (RDI) and Standardized Precipitation Evapotranspiration Index (SPEI) have been utilized to incorporate major meteorological variables to account for varying assessment periods of 1, 3, 6, 9,12 and 24 months. The results show that an increase in the number of identified moderate and severe categories of drought events increase with the assessment periods for all the indices used in this study. The severe drought years have been found to be quite frequent post 1980’s as 1986, 1987, 1992, 1994, 1999, 2002, 2004, 2009 and 2011. The Modified Mann Kendall test has been carried out for all the drought indices (SPI, RDI and SPEI) across varying assessment periods and it shows a positive trend for SPI and RDI while a negative trend is seen for SPEI. It may be due to continuous decline of precipitation and corresponding increase in the maximum temperature making the region semi-arid. For the overexploited water resources in Rayalseema, this type of research is critical for analyzing meteorological droughts, which will be extremely valuable for water resource administration and planning in the region.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the Rayalseema Meteorological Subdivision’s Drought Using Multiple Drought Indices

Panigrahi,

Vidyarthi

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Thus, drought is an intricate recurrent phenomenon [2,3] caused by a lack of precipitation or a change in the distribution of precipitation over time, which often results in the water availability. It is a slowly evolving phenomena [4,5] that impacts a large population's availability of food and water, propagates across the whole hydrological cycle, and causes long-term economic losses. In many districts (>80%) of the country, the frequency of moderate droughts, severe droughts, and extremely severe droughts have been recorded to be greater than 9%, 6%, and 3%, respectively [6].…”

Section: Introductionmentioning

confidence: 99%

Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios

et al. 2023

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This study presents a comprehensive analysis of extreme events, especially drought and wet events, spanning over the past years, evaluating their trends over time. An investigation of future projections under various scenarios such as SSP-126, SS-245, and SSP-585 for the near (2023–2048), mid (2049–2074), and far future (2075–2100) using the bias-corrected Coupled Model Intercomparisons Project 6 (CMIP6) multi-model ensemble method was also performed. The Standard Precipitation Index (SPI), a simple yet incredibly sensitive tool for measuring changes in drought, is utilized in this study, providing a valuable assessment of drought conditions across multiple timescales. The historical analysis shows that there is a significant increase in drought frequency in subdivisions such as East MP, Chhattisgarh, East UP, East Rajasthan, Tamil Nadu, and Rayalaseema over the past decades. Our findings from a meticulous examination of historical rainfall trends spanning from 1951 to 2022 show a noticeable decline in rainfall across various regions such as Uttar Pradesh, Chhattisgarh, Marathwada, and north-eastern states, with a concurrent increase in rainfall over areas such as Gujarat, adjoining regions of West MP and East Rajasthan, and South Interior Karnataka. The future projection portrays an unpredictable pattern of extreme events, including droughts and wet events, with indications that wet frequency is set to increase under extreme SSP scenarios, particularly over time, while highlighting the susceptibility of the northwest and south peninsula regions to a higher incidence of drought events in the near future. Analyzing the causes of the increase in drought frequency is crucial to mitigate its worst impacts, and recent experiences of drought consequences can help in effective planning and decision-making, requiring appropriate mitigation strategies in the vulnerable subdivisions.

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Identification of drought intensity and development of drought resilience in the Rayalaseema region of Andhra Pradesh, India

Cited by 2 publications

References 25 publications

Evaluation of the Rayalseema Meteorological Subdivision’s Drought Using Multiple Drought Indices

Evaluation of the Rayalseema Meteorological Subdivision’s Drought Using Multiple Drought Indices

Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios

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