Spatio-Temporal Analysis of Susceptibility Hazardous and Risk Mapping in Post-2023 Simangulampe Devastating Flood DOI Open Access
Togi Tampubolon, Jeddah Yanti,

Juniar Hutahaean

et al.

Journal of Physics Conference Series, Journal Year: 2024, Volume and Issue: 2908(1), P. 012005 - 012005

Published: Nov. 1, 2024

Abstract Over 169 people along the Simangulampe upstream were under devastating flood and worst landslide watches in December 2023 due to a significant storm bringing heaviest rainfall moving giant boulders. Indeed, there are far fewer studies information on susceptibility hazards Simangalumpe than others. First-rate impressive risk mitigation strategies increased climate-change consideration reduced risk. We adopt C-band synthetic aperture radar multispectral imagery from Sentinel identify, visualize, analyze flash mapping mitigating address this issue. Precisely, is considered surface water indices with various parameters: Normalized Difference Vegetation Index (NDVI), Water (NDWI), Modified NDWI (MNDWI), SAR inundation mapping. Results show low NDVI values- over 50 percent of plant canopies damaged (uprooted broken trees) upstream. Combining properties index shows extent bodies Simagalumpe covers Finally, developing spatial temporal analysis data results flooding reducing unnecessary threats.

Language: Английский

Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms DOI Creative Commons
Abu Reza Md. Towfiqul Islam,

Md. Uzzal Mia,

Nílson Augusto Villa Nova

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 13, 2025

Language: Английский

Citations

1
Flood risk modelling by the synergistic approach of machine learning and best-worst method in Indus Kohistan, Western Himalaya DOI Creative Commons
Ashfaq Ahmad, Jiangang Chen, Xiaohong Chen

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 25, 2025

Language: Английский

Citations

0
Flash flood disaster risk evaluation based on geographic detector and interval number ranking method DOI Creative Commons
Xiao Liu, Ronghua Liu, Xiaolei Zhang

et al.

River, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Abstract Among natural disasters, flash floods are the most destructive events, causing significant damage to economy and posing a serious threat human life property. Comprehensive risk assessment of these sudden is key strategy mitigate their impact. Accurate analysis flood hazards can greatly enhance prevention efforts inform critical decision‐making processes, ultimately improving our ability protect communities from fast‐onset disasters. This study analyzed driving forces disaster‐causing factors in Heilongjiang Province. Meanwhile, nine different categories variables affecting occurrence were selected, degree influence each factor on was quantitatively analyzed, force Province carried out by using geographic probe model. paper employs an uncertainty approach, utilizing statistical‐based interval weight determination technique for evaluation indices two‐dimensional information‐based number sorting method. These methodologies combined construct comprehensive On this basis, model implemented six regions within China's province evaluate prioritize risks. The resulting ranking areas as follows: Bayan Shuangcheng Boli Suibin Hailun Yian. findings demonstrate that number‐based method effectively handles uncertainty, providing more reliable grading system. leveraging modern scientific advances quantification techniques, crucial disaster management mitigating impacts.

Language: Английский

Citations

0
Geospatial assessment of a severe flood event in the Nilwala River basin, Sri Lanka DOI
Charuni I. Madhushani, Randika K. Makumbura, Vindhya Basnayake

et al.

Sustainable Water Resources Management, Journal Year: 2024, Volume and Issue: 10(4)

Published: July 17, 2024

Language: Английский

Citations

2
Hydrological modeling of the selected flash flood-prone rivers DOI
Aysha Akter,

Fahim Shahriar Sawon

Natural Hazards, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Language: Английский

Citations

2
SPATIAL DISTRIBUTION OF THE CALCULATION CHARACTERISTICS OF THE MAIN PHASES OF THE ICE REGIME IN THE PRYPIAT RIVER BASIN WITHIN UKRAINE WITH THE USING GIS DOI

Oleksandr Afteniuk,

Liudmyla Gorbachova

Hydrology hydrochemistry and hydroecology, Journal Year: 2024, Volume and Issue: 1 (71), P. 30 - 40

Published: Jan. 1, 2024

Maps of the spatial distribution hydrological indicators are great importance in educational, scientific and practical spheres. There very few maps dedicated to characteristics ice regime rivers. The last thorough research on creation calculation appearance dates phenomena freeze-up rivers Ukraine was carried out 70s 20th century. In these maps, Prypiat river basin is represented by observation data for only a water gauges and, accordingly, such general. addition, were created form isolines paper media manual interpolation. Along with this, development computer technology geographic information systems (GIS) have changed approaches mapping characteristics. modern creating GIS digital layers using various methods Therefore, main objective this present phases within ArcGIS program. used from 29 gauges, based which statistical calculated. For parameters as multi-year average value, mean square deviation asymmetry coefficient used, calculated rivers, namely date ice, freeze-up, break-up (i.e., melt onset), disappearance River Ukraine. spline interpolation isolines, allows you get rid subjective factors improve accuracy maps. On all characterized fairly smooth shapes, which, general, reflect zonal analysis Pripyat basin, well their created, allow us recommend use. approach can be applied create other basins, characteristics, example, duration freeze-up.

Language: Английский

Citations

0
Spatio-Temporal Analysis of Susceptibility Hazardous and Risk Mapping in Post-2023 Simangulampe Devastating Flood DOI Open Access
Togi Tampubolon, Jeddah Yanti,

Juniar Hutahaean

et al.

Journal of Physics Conference Series, Journal Year: 2024, Volume and Issue: 2908(1), P. 012005 - 012005

Published: Nov. 1, 2024

Abstract Over 169 people along the Simangulampe upstream were under devastating flood and worst landslide watches in December 2023 due to a significant storm bringing heaviest rainfall moving giant boulders. Indeed, there are far fewer studies information on susceptibility hazards Simangalumpe than others. First-rate impressive risk mitigation strategies increased climate-change consideration reduced risk. We adopt C-band synthetic aperture radar multispectral imagery from Sentinel identify, visualize, analyze flash mapping mitigating address this issue. Precisely, is considered surface water indices with various parameters: Normalized Difference Vegetation Index (NDVI), Water (NDWI), Modified NDWI (MNDWI), SAR inundation mapping. Results show low NDVI values- over 50 percent of plant canopies damaged (uprooted broken trees) upstream. Combining properties index shows extent bodies Simagalumpe covers Finally, developing spatial temporal analysis data results flooding reducing unnecessary threats.

Language: Английский

Citations

0