Natural disaster management in India with focus on floods and cyclones

Thattai, Deeptha; Rangarajan, Sathyanathan; Dinesh, R; Kumar, L.

doi:10.1088/1755-1315/80/1/012054

Cited by 13 publications

(3 citation statements)

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“…India has a7516 km long coastline which is surrounded by Arabian Sea on its left and Bay of Bengal to its right. Studies show that India is exposed to about 10% of the world's cyclones where majority of them originate from Bay of Bengal followed by Arabian Sea in a ratio of 4:1 [ 21 , 58 ]. States along coastline i.e., Gujarat, Maharashtra, Goa, Karnataka, Kerala, Tamil Nadu, Puducherry, Andhra Pradesh, Orissa and West Bengal along with Andaman, Nikobar and Lakshwadeep Islands are frequently affected by cyclones [ 21 ].…”

Section: Case Studiesmentioning

confidence: 99%

Community approach toward disaster resilience

Sharma

Kumar

Saruchi

2022

Cognitive Data Models for Sustainable Environment

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Section: Case Studiesmentioning

confidence: 99%

Community approach toward disaster resilience

Sharma

Kumar

Saruchi

2022

Cognitive Data Models for Sustainable Environment

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“…The countries with high population density, rapid urbanization need comprehensive disaster preparedness and mitigation strategies to safeguard lives and resources. The countries which have a low economy and lack of basic services are at higher risk [16,17]. Landslides are frequent in the hilly region and floods are frequently seen in the Terai region.…”

Section: Introductionmentioning

confidence: 99%

Predicting Losses from Landslide and Flood Events in Nepal: A Regression Analysis with Moving Averages Approach

Adhikari,

Ghimere,

Khanal

2024

Contemp. Res.

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Nepal is highly vulnerable to disasters due to its geographical structure, significant temperature variability over short distances, and changing climate. This paper aims to evaluate historical trends and predict future disaster-related losses. The moving average method is used in this study for analysis. The study focuses on data and analysis of two frequently occurring disasters in Nepal. A straight regression line is applied to the number of incidents and various variables (total deaths, missing people, affected families, and injured people) to predict future losses. Since 1971, the number of incidents involving these two disasters, landslide and flood, has been rapidly increasing. A 5-year moving average is employed to analyze the data, revealing a sharp increase in all variables studied. The rapid rise in disaster incidents and associated losses could pose significant challenges for the country. To enhance public safety, information programs should be implemented, and areas should be ranked by their level of danger to mitigate losses.

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“…The Indian Meteorological Department reports an alarming 11% increase in the number of cyclones in the Arabian Sea and Bay of Bengal over the past five years, with catastrophic implications for India's global warming [7].…”

Section: Introductionmentioning

confidence: 99%

Can Natural Farming Help to Combat Climate Variability? A Comparison of Natural and Chemical Farming in Andhra Pradesh, India

Hussain,

Thallam,

Soma

et al. 2023

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A study was conducted to compare the potential of natural farming versus conventional chemical farming to withstand adverse climate effects. The study investigated two cyclones, namely cyclone Pethai and cyclone Titli of 2018, which caused significant damage to Andhra Pradesh's coastal corridor. In addition, the impact of heavy rainfall in 2021 on two different farming systems was studied. The worst-affected Paddy crop regions where these cyclones caused severe damage were surveyed. Multiple linear regression was utilized to investigate predictors including crop damage, wind damage, submergence, and yield loss in these two agricultural systems during these two cyclonic and heavy rainfall events. The study indicated that natural farming practices were more resilient to climate variability than conventional chemical farming techniques. The study showed a statistically significant difference (p < 0.001) between these two farming systems in terms of damage caused due to climate variabilities.

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Natural disaster management in India with focus on floods and cyclones

Cited by 13 publications

References 0 publications

Community approach toward disaster resilience

Community approach toward disaster resilience

Predicting Losses from Landslide and Flood Events in Nepal: A Regression Analysis with Moving Averages Approach

Can Natural Farming Help to Combat Climate Variability? A Comparison of Natural and Chemical Farming in Andhra Pradesh, India

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