A Web-based Analytical Urban Flood Damage and Loss Estimation Framework DOI Creative Commons
Yazeed Alabbad, Enes Yıldırım, İbrahim Demir

et al.

EarthArXiv (California Digital Library), Journal Year: 2022, Volume and Issue: unknown

Published: Dec. 4, 2022

Information and communication technology serves a crucial role in communicating flood risk consequences to broad range of stakeholders facilitating mitigation decisions. While studies extensively utilize inundation maps for risks, there is need integrate spectrum physical vulnerability parameters into estimates at various spatial scales. This research aims build publicly accessible web platform analyze estimate riverine flood-related damages using HAZUS HEC-FIA damage functions community property framework will provide loss estimation properties, business interruption, vehicles, bridges, lives, as well debris generation. The analysis available two scopes, including property. extent enables the user explore socioeconomic information event 100- 500-year return periods several communities State Iowa. In scope, can generate outcomes impacts "what if" scenarios user-provided data. disseminates without requiring extra software be installed on user's local workstation. It offers guidance tool help decision-makers with management, such identifying vulnerable areas investigating interventions.

Language: Английский

Social vulnerability and climate risk assessment for agricultural communities in the United States DOI
Tuğkan Tanır, Enes Yıldırım, Celso M. Ferreira

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168346 - 168346

Published: Nov. 6, 2023

Language: Английский

Citations

19
Frequency ratio-based flood vulnerability modeling over the greater Accra Region of Ghana DOI
Eric Dominic Forson, Prince Ofori Amponsah, Godfred Bright Hagan

et al.

Modeling Earth Systems and Environment, Journal Year: 2022, Volume and Issue: 9(2), P. 2081 - 2100

Published: Nov. 28, 2022

Language: Английский

Citations

17
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

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 524 - 524

Published: Feb. 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

Language: Английский

Citations

0
A Phenology-Dependent Analysis for Identifying Key Drought Indicators for Crop Yield based on Causal Inference and Information Theory DOI Creative Commons
Özlem Baydaroğlu, Serhan Yeşilköy, İbrahim Demir

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 29, 2024

Drought indicators, which are quantitative measurements of drought severity and duration, used to monitor predict the risk effects drought, particularly in relation sustainability agriculture water supplies. This research uses causal inference information theory discover index, is most efficient indicator for agricultural productivity a valuable metric estimating predicting crop yield. The connection between precipitation, maximum air temperature, indices corn soybean yield ascertained by cross convergent mapping (CCM), while transfer them determined through entropy (TE). conducted on rainfed lands Iowa, considering phenological stages crops. Based nonlinearity analysis using S-map, it that causality could not be carried out CCM due absence data. results intriguing as they uncover both precipitation temperature indices. analysis, with strongest relationship production SPEI-9m SPI-6m during silking period, SPI-9m doughing period. Therefore, these may considered effective predictors prediction models. study highlights need periods when production, differs two periods.

Language: Английский

Citations

2
State-Level Multidimensional Agricultural Drought Susceptibility and Risk Assessment for Agriculturally Prominent Areas DOI Creative Commons
S M Samiul Islam, Serhan Yeşilköy, Özlem Baydaroğlu

et al.

EarthArXiv (California Digital Library), Journal Year: 2023, Volume and Issue: unknown

Published: June 16, 2023

Due to the shifting climate, extreme events are being observed more frequently globally. Drought is one of most common natural hazards that severely impacts communities in terms economic losses and agricultural production disruption. Considering global trade, drought an region affects food security other regions because disrupted supply. Decision-makers often consult susceptibility maps when preparing mitigation plans so adverse a event can be reduced. Creating demanding, requiring lot data (i.e., hydrological land use), expertise, thorough assessment accurately picture vulnerable region’s condition. The process also relies on complex hydrometeorological models. objective this investigation examine vulnerability impact formulate susceptibility, exposure, risk by considering multitude atmospheric, physical social indicators. Subsequent notion, fuzzy logic algorithm has been devised assigning comprehensive array weights each parameter derived from exhaustive literature review used for preliminary state Iowa. This located Corn Belt region, its primary activity agriculture. Iowa have generated period spanning 2015 2021 validated using Kappa coefficient. produced support decisions

Language: Английский

Citations

4
A Web-based Decision Support Framework for Optimizing Road Network Accessibility and Emergency Facility Allocation During Flooding DOI Creative Commons
Yazeed Alabbad, Jerry Mount,

A. N. Campbell

et al.

EarthArXiv (California Digital Library), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 3, 2023

Transportation systems can be significantly affected by flooding, leading to physical damage and subsequent adverse impacts such as increased travel distance essential services. Even though flooding is a frequently recurring phenomenon that affect thousands of people per event, there are limited accessible online tools available for analyzing visualizing flood risk supporting decisions on routing emergency planning, response. Existing generally based complicated models not easily non-expert users. Therefore, it critical have efficient real-time communication decision transportation networks various stakeholders, including the public, minimize those groups. This paper presents web application uses graph network methods latest technologies standards assist in describing events terms operational constraints provide analytical support mobility mitigation during these events. The framework designed user-friendly, enabling users access information about road status, shortest paths amenities, location-allocation, service coverage. study area includes following two communities State Iowa, Cedar Rapids Charles City, which were used test application's functionality explore outcomes. Our research demonstrates bridge operation, from locations arbitrary point-to-point routing, planning facility placement, accessibility. introduced capable solving complex flood-related tasks providing an understandable representation vulnerability, enhancing strategies. this provides valuable tool stakeholders make informed

Language: Английский

Citations

4
Evaluation of decision support system for disaster management using multi-criteria decision techniques: a case study of Alappuzha, Kerala DOI Creative Commons
Pankaj Kant, Pavan Kumar Machavarapu,

Anagha R Natha

et al.

Urban Planning and Transport Research, Journal Year: 2023, Volume and Issue: 11(1)

Published: Oct. 2, 2023

The monsoon pattern has shifted across Kerala. This, combined with significant deforestation and hill denuding, resulted in catastrophic floods landslides, particularly during the Southwest monsoon. Urgent relief services were to be delivered a timely accurate manner order sustain lives of impacted people. Even though resources sent several camps, they either excess or shortage on multiple instances. conditions that prevailed time, as well concerns challenges disaster efforts, must first investigated for effective operation these supply chain activities. This research aims develop logistics hub location selection decision support system, based Fuzzy Analytic Hierarchy Process (FAHP) Best Worst Method (BWM), meet needs victims rescue teams event flooding, implement proposed systems Kuttanad, Initially, criteria are determined structured hierarchy, weightage is done via questionnaire technique. Expert opinion nine points scale was gathered from set experts working under different levels positions management. weights obtained by FAHP BWM methods statistically analysed compared reliability two techniques. suggested model application results may throw light future work, realm

Language: Английский

Citations

4
EarthObsNet: A Comprehensive Benchmark Dataset for Data-Driven Earth Observation Image Synthesis DOI Creative Commons
Zhouyayan Li,

Muhammed Sermet,

İbrahim Demir

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: March 4, 2024

Remote Sensing imagery serves as an important data source for Earth surface monitoring and processes studies. It is highly likely that RS will become more indispensable in the future due to its high scalability compatibility with data-driven models ever-evolving software hardware increasingly good at processing large datasets. Although promising future, usage of observation imagery, such Landsat, Sentinel-2, Sentinel-1 images, has been largely limited retrospective studies, where those images serve mainly documentations past events. Recently, there are attempts expand current forward-looking applications support decision-making fast response against natural hazards. Unlike many well-defined well-studied topics change detection semantic segmentation which benchmark datasets openly available, so far, public image synthesis tasks prototyping comparison. To close this gap, we introduced a comprehensive dataset containing previous observations, precipitation, soil moisture, land cover, Height Above Nearest Drainage (HAND), DEM, slope collected during catastrophic 2019 Central US Flooding events lasted than two seasons Mississippi Missouri River tributaries. We also incorporated reference labels allow further investigation usefulness synthesized downstream applications, flood inundation mapping. hope provide essential goal attracting attention inspiring efforts broaden into applications.

Language: Английский

Citations

1
Geo-spatial analysis of built-environment exposure to flooding: Iowa case study DOI Creative Commons
Yazeed Alabbad, İbrahim Demir

Discover Water, Journal Year: 2024, Volume and Issue: 4(1)

Published: May 23, 2024

Abstract Flooding is the most frequent type of natural disaster, inducing devastating damage at large and small spatial scales. Flood exposure analysis a critical part flood risk assessment. While studies analyze elements separately, it crucial to perform multi-parameter consider different types zones gain comprehensive understanding impact make informed mitigation decisions. This research analyzes population, properties, road networks potentially exposed 100, 200, 500-year events county level in State Iowa using geospatial analytics. We also propose index fuzzy overlay help find impacted county. During flooding, results indicate that county-level percentage displaced length can reach up 46%, 41%, 40%, respectively. found buildings roads are laid residential areas. Also, 25% counties designated as very high-exposure study many stakeholders identify vulnerable areas ensure equitable distribution investments resources toward projects.

Language: Английский

Citations

1
Geo-Spatial Analysis of Built-Environment Exposure to Flooding: Iowa Case Study DOI Creative Commons
Yazeed Alabbad, İbrahim Demir

EarthArXiv (California Digital Library), Journal Year: 2023, Volume and Issue: unknown

Published: March 15, 2023

Flooding is the most frequent type of natural disaster, inducing devastating damages at large and small spatial scales. Flood exposure analysis a critical part flood risk assessment. While studies analyze elements separately, it crucial to perform multi-parameter consider different types zones gain comprehensive understanding impact make informed mitigation decisions. This research analyzes population, properties, road networks exposed 100, 200, 500-year events county level in State Iowa using geospatial analytics. We also proposed index fuzzy overlay help find impacted county. During flooding, results indicate that county-level percentage displaced length can reach up 46%, 41%, 40%, respectively. found buildings roads are laid residential areas. Also, 25% counties designated as very high-exposure study many stakeholders identify vulnerable areas ensure equitable distribution investments resources toward projects.

Language: Английский

Citations

3