Understanding perceptions of indigenous people toward natural disasters is essential in social and environmental research to facilitate further studies in investigating the impacts of the events, as well as in examining the adaptive strategies and having implications for policymakers and relevant institutional bodies. We took this essential feature to study the perceptions of local people toward the two common natural disasters: flash floods and landslides. We selected the case study in three communes (An Binh, An Thinh, and Dai Son) in Van Yen district, Yen Bai province in Vietnam. This is because flash floods and landslides are two frequent natural disasters that highly adversely affect these areas where major poor ethnic minority communities reside. We conducted six Focus Group Discussions (FGDs) and household surveys (405 households) in 2016. The results showed that a decline in productivity, a decrease in income, more hard-working conditions, and an increase in daily expenses were the most observed impacts of these natural disasters in the communes. The analysis also revealed that almost 45% of farmers perceived an increasing trend in the frequency and impacts of flash floods and landslides over the past 15 years. A Multinomial Logit (MNL) model was used to analyze the determinants of farmers' awareness of flash floods and landslides, which indicated that farmers' perceptions of flash floods and landslides are associated with socio-economic characteristics, such as gender, agricultural experience, ethnic groups, climate information, and household income conditions. We suggested that local governments should pay more attention to strengthen farmers' awareness to help improve perceptions of local people toward common natural disasters so that they would gain better adaptive capacities and become more sustainable, which are in line with the Sustainable Development Goals.
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http://dx.doi.org/10.1016/j.scitotenv.2020.142656 | DOI Listing |
Sci Rep
January 2025
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, 100101, China.
Flash flood susceptibility mapping is essential for identifying areas prone to flooding events and aiding decision-makers in formulating effective prevention measures. This study aims to evaluate the flash flood susceptibility in the Yarlung Tsangpo River Basin (YTRB) using multiple machine learning (ML) models facilitated by the H2O automated ML platform. The best-performing model was used to generate a flash flood susceptibility map, and its interpretability was analyzed using the Shapley Additive Explanations (SHAP) tree interpretation method.
View Article and Find Full Text PDFMar Pollut Bull
December 2024
Aix Marseille University, Université de Toulon, CNRS, IRD, MIO UM110, 13288 Marseille, France; Department Water-Environment-Oceanography, University of Science and Technology of Hanoi (USTH), Vietnamese Academy of Science and Technology (VAST), 18 Hoang Quoc Viet, Hanoi 100000, Viet Nam; IRD, Chulalongkorn University, 254 Henri Dunant Road, Pathumwan, 10330 Bangkok, Thailand.
Environ Monit Assess
December 2024
Wadia Institute of Himalayan Geology, Dehradun, India, 248001.
The Himalayas experiences several cloudburst events due to its varied physiographical, geomorphological, and geological conditions and high rainfall. Uttarakhand is one of the Indian states circumscribed by the Himalayan ranges and has experienced a rise in the number of cloudburst catastrophes in the last few decades. These events cause substantial loss of life and property; however, very few studies have characterized these unpredictable cloudburst-induced flash floods in different regions of Uttarakhand.
View Article and Find Full Text PDFDisaster Med Public Health Prep
December 2024
Departments of Emergency Medicine, Kings County Hospital and SUNY Downstate Medical Center, Brooklyn, NY, USA.
Objectives: Hurricane Ida delivered record rainfall to the northeast, resulting in 11 deaths in New York City. We review these deaths, identify risk factors, and discuss solutions to prevent recurrence.
Methods: Deaths were confirmed by multiple sources.
J Appalach Health
September 2024
Breathitt County Health Department.
Rapidly rising waters due to flash floods and thunderstorms on the night of July 27, 2022, resulted in hundreds of water rescues throughout 14 rural Appalachian Kentucky counties. Lives were lost, thousands were injured, homes and property were damaged or destroyed, and many roadways were unpassable. Community partners serving these counties collaborated to design and conduct an assessment to gain a better understanding of the needs of individuals residing in certain remote sections within the communities.
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