Monitoring of Multi-Aspect Drought Severity and Socio-Economic Status in the Semi-Arid Regions of Eastern Tamil Nadu, India

Abstract

A framework was set up to monitor drought in the semi-arid regions of eastern Tamil Nadu, southern India, for the period of 2014–2018 CE with the application of the standardized precipitation index (SPI), the scaled drought-condition index (SDCI), and the standardized water-level index (SWI). The results emphasized that this region had a negative precipitation anomaly and vegetative stress, both of which triggered meteorological and agricultural droughts and caused significant losses in the farming sector. The distributions of extreme and high-level hydrological droughts were at their maximum in 2017 CE. The multi-drought severity index (MDSI), implemented to assess the combined impact and highlighting the gradient of affected areas, illustrated that the eastern region (i.e., Jayankondam block) was the most extremely affected, followed by the northern and southern regions (i.e., T.Palur and Andimadam), which were moderately affected by droughts. The extremely affected eastern region has less of an ability to overcome droughts due to its socio-economic vulnerability, with its greater population and household density leading to the over-exploitation of potential resources. Therefore, the focus of this study is on the monitoring of drought severity in micro-administrative units to suggest an appropriate management plan. Hence, the extreme-drought-prone block (Jayankondam) should be given high priority in monitoring and implementing long-term management practices for its conservation and resilience against the effects of severe droughts.

A Contemporary Review on Deep Learning Models for Drought Prediction

“…Socioeconomic droughts occur when the demand for goods exceeds the supplies due weather-associated deficits in water delivery. Even if a socioeconomic drought resolves, the preceding water shortfall might cause long-term consequences and affect the local water sources system's resilience [18][19][20].…”

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“…Так, американские авторы R.A. Johns, B. Dixon и R. Pontes предлагают разграничивать физическую (территориальную) и социальноэкономическую уязвимость населения штата в условиях климатических изменений (Johns et al, 2020). При этом социально-экономическая уязвимость территорий и территориальных сообществ в основном рассматривается в контексте изучения неблагоприятного влияния на них стихийных бедствий: наводнений (Tanir et al, 2021), засухи (Sun et al, 2022;Ravichandran et al, 2022), циклонических штормов (Mandal, Dey, 2022), изменения климата (Johns et al, 2020) или ухудшения состояния окружающей среды, приводящих к экологическим стрессам (Dutta, Chatterjee, 2022).…”

Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review

“…Agricultural drought significantly impacts the economies of agrarian nations such as India, where over 68% of the population relies on agriculture [11]. Approximately 16% of India's total land area is prone to drought, affecting around 50 million people annually [12,13]. An effectively developed mitigation and preparedness strategy is essential for decision makers to mitigate the impact of drought.…”