Assessment of Potential Flood Magnitude in the Endek Stream Basin (Horasan-Erzurum) Using Unit Hydrographs DOI
Mehmet Akif TAŞ

Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi, Год журнала: 2024, Номер unknown

Опубликована: Окт. 14, 2024

The primary objective of this research is to ascertain the potential flood risk in Endek Stream Basin, which extends roughly north-south Horasan district Erzurum, and its tributary, Kırmızı utilizing unit hydrographs. study employed ArcGIS Pro software determine basin's hydrological characteristics estimate discharge volume at basin outlet. Initially, a 25-meter resolution Digital Elevation Model (DEM) was procured. Using model tools, flow direction, accumulation, slope maps streams within were generated. These datasets facilitated development spatially variable velocity field independent discharge. In subsequent phase, time map created, delineating duration required for water travel from any point During preparation map, 30-minute intervals deemed significant occurrence, accordingly, basins divided into isochrone regions. Utilizing data derived these analyses, hydrograph curves variation outlet following sudden precipitation event. produced separately both Basin Basin. According analysis results, reached peak approximately 18.5 hours after onset precipitation, with 14,408.3 m³/s. occurred 2.5 began, 4,251.3 To assess model's accuracy, reports July 2010 disaster Saçlık Village, resulted six fatalities, examined. examinations revealed that yielded highly consistent results terms timing magnitude. Thus, it has been observed such beneficial predicting effects disasters, particularly magnitude duration, how might impact area. Consequently, anticipated will assist authorities formulating management strategies. However, more accurate detailed require use higher advanced modeling techniques.

Язык: Английский

Assessment of flood susceptibility in Cachar district of Assam, India using GIS-based multi-criteria decision-making and analytical hierarchy process DOI
Preeti Barsha Borah,

Arpana Handique,

Chandra Kumar Dutta

и другие.

Natural Hazards, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Язык: Английский

Процитировано

3
A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches DOI Creative Commons
Tania Islam, Ethiopia Bisrat Zeleke,

Mahmud Afroz

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(3), С. 524 - 524

Опубликована: Фев. 3, 2025

Climate change has led to an increase in global temperature and frequent intense precipitation, resulting a rise severe urban flooding worldwide. This growing threat is exacerbated by rapid urbanization, impervious surface expansion, overwhelmed drainage systems, particularly regions. As becomes more catastrophic causes significant environmental property damage, there urgent need understand address flood susceptibility mitigate future damage. review aims evaluate remote sensing datasets key parameters influencing provide comprehensive overview of the causative factors utilized mapping. also highlights evolution traditional, data-driven, big data, GISs (geographic information systems), machine learning approaches discusses advantages limitations different mapping approaches. By evaluating challenges associated with current practices, this paper offers insights into directions for improving management strategies. Understanding identifying foundation developing effective resilient practices will be beneficial mitigating

Язык: Английский

Процитировано

2
Basin morphometry? It is no longer an issue with HydroMachine toolbox DOI Creative Commons
Mustafa Topsakal, Enes Dogan, Suleyman Sinan Yasak

и другие.

Environmental Earth Sciences, Год журнала: 2025, Номер 84(12)

Опубликована: Июнь 1, 2025

Язык: Английский

Процитировано

0
Flood susceptibility analysis of settlement basins on a provincial scale using inventory flood data DOI
İmren Kuşcu, Hasan Özdemir

Environmental Earth Sciences, Год журнала: 2024, Номер 84(1)

Опубликована: Дек. 13, 2024

Язык: Английский

Процитировано

1
Assessment of Urban Flood Susceptibility and Inundation through Bivariate Statistics with Synthetic Aperture Radar: Insights for Spatial Planning in Pekanbaru City, Indonesia DOI
Eggy Arya Giofandi, Boedi Tjahjono,

Latief Mahir Rachman

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Сен. 25, 2024

Abstract Flooding has become one of the most dangerous hydrometeorological disasters, affecting sustainability cities in future. This study aims to assess flood susceptibility using a frequency ratio approach and evaluate spatial planning Pekanbaru City, Indonesia. Flood locations were derived from synthetic aperture radar data prepare actual data. In this area, identification physical environmental parameters was conducted various datasets such as slope, landform, curvature, topographic wetness index, distance rivers, rainfall, soil texture, depth. Furthermore, weighted assessment all thematic layers calculated based on events observation area. The overall related location divided, with 70% for model development 30% validation. results showed that affected 18 km², an accuracy 84.21%. categorized into four levels very high (11.36%), (58.04%), medium (24.78%), low (5.81%). An accurate potential susceptibility, measured by operational characteristic curve (AUC), prediction rate 76.30% success 78.45%. However, considering implications patterns, affects cultivated areas covering 381.16 which are spread almost throughout urban High indirectly cause disaster losses impact community activities. misalignment between distribution needs be addressed anticipate other hazards.

Язык: Английский

Процитировано

0
Assessment of Potential Flood Magnitude in the Endek Stream Basin (Horasan-Erzurum) Using Unit Hydrographs DOI
Mehmet Akif TAŞ

Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi, Год журнала: 2024, Номер unknown

Опубликована: Окт. 14, 2024

The primary objective of this research is to ascertain the potential flood risk in Endek Stream Basin, which extends roughly north-south Horasan district Erzurum, and its tributary, Kırmızı utilizing unit hydrographs. study employed ArcGIS Pro software determine basin's hydrological characteristics estimate discharge volume at basin outlet. Initially, a 25-meter resolution Digital Elevation Model (DEM) was procured. Using model tools, flow direction, accumulation, slope maps streams within were generated. These datasets facilitated development spatially variable velocity field independent discharge. In subsequent phase, time map created, delineating duration required for water travel from any point During preparation map, 30-minute intervals deemed significant occurrence, accordingly, basins divided into isochrone regions. Utilizing data derived these analyses, hydrograph curves variation outlet following sudden precipitation event. produced separately both Basin Basin. According analysis results, reached peak approximately 18.5 hours after onset precipitation, with 14,408.3 m³/s. occurred 2.5 began, 4,251.3 To assess model's accuracy, reports July 2010 disaster Saçlık Village, resulted six fatalities, examined. examinations revealed that yielded highly consistent results terms timing magnitude. Thus, it has been observed such beneficial predicting effects disasters, particularly magnitude duration, how might impact area. Consequently, anticipated will assist authorities formulating management strategies. However, more accurate detailed require use higher advanced modeling techniques.

Язык: Английский

Процитировано

0