Developing a new method for future groundwater potentiality mapping under climate change in Bisha watershed, Saudi Arabia

Geocarto International, Год журнала: 2022, Номер 37(26), С. 14495 - 14527

Опубликована: Июнь 11, 2022

This study proposes a new groundwater potentiality model (GPM) in the Bisha watershed, Saudi Arabia, by integrating logistic-regression (LR)-weighted and fuzzy logic-based ensemble machine learning (EML) models for present future scenarios. We applied random forest, bagging, subspace predicting GPMs. also used general circulation model's (GCM) minimum maximum representative concentration pathway (RCP) 2.6 8.5 scenarios GWP mapping. Results showed that bagging hybrid (Area under Curve: 0.986) outperformed other models. predicted 4058.57 km2 as very high, 4267.45 4185.23 moderate, 4342. low, 4430.24 low potential zones. The best combined with climatic conditions shows high zones would cover 2319–2590 3100–2795 km2. current research will aid development of long-term sustainable management plans increasing effectiveness

Язык: Английский

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Identifying Factors to Develop and Validate Social Vulnerability to Floods in Malaysia: A Systematic Review Study

Sustainability, Год журнала: 2023, Номер 15(17), С. 12729 - 12729

Опубликована: Авг. 23, 2023

Flood disasters, a natural hazard throughout human history, have caused significant damage to safety and infrastructure. This paper presents systematic study using databases from Springer Link, Science Direct, JSTOR, Web of Science. The employs the PRISMA report analysis method examine 11 flood disaster case studies between 2010 2022. findings reveal that demographic characteristics, socioeconomic status, access healthcare crucially determine social vulnerability adverse events. Notably, risk perception coping capacity also received substantial attention in studies. Unfortunately, many indicators fail adequately consider influence these factors. effects factors make communities vulnerable vary across stages countries. emphasizes importance considering specific situations locations when understanding origins consequences vulnerability. article concludes by offering recommendations customize quantitative contexts, covering aspects such as temporal context, measurability, indicator relationships.

Язык: Английский

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Flash Floods Hazard to the Settlement Network versus Land Use Planning (Lublin Upland, East Poland)

Applied Sciences, Год журнала: 2024, Номер 14(18), С. 8425 - 8425

Опубликована: Сен. 19, 2024

There has been an increase in the frequency of hazards associated with meteorological and hydrological phenomena. One them is flash floods occurring episodically areas concentrated runoff—valleys without permanent drainage. In opinion residents local authorities, these are potentially safe areas—they not threatened by therefore often occupied buildings. The importance addressing land use planning essential for sustainable development disaster risk reduction. objective this research was to assess level hazard evaluate its presence activities. This manuscript fills a gap, as date flood threats have analyzed individual buildings located catchments dry valleys temperate climates. More than 12,000 first-order were analyzed. study covered upland area East Poland, which characterized high population density dispersed rural settlement. Within 10 municipalities, on potential episodic runoff lines identified. Qualitative assessment applied ascertain susceptibility floods. Such criteria slopes, size, shape catchment area, cover, among others, used. Between 20% lines, about 900 sub-catchments highly or very susceptible way reduce negative effects phenomena undertake proper based knowledge geohazards, including However, analysis available documents shows that type completely taken into account spatial management processes.

Язык: Английский

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Urban–Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United States

ISPRS International Journal of Geo-Information, Год журнала: 2024, Номер 13(9), С. 339 - 339

Опубликована: Сен. 22, 2024

This study investigates the spatial disparities in flood risk and social vulnerability across 66,543 census tracts Conterminous United States (CONUS), emphasizing urban–rural differences. Utilizing American Community Survey (ACS) 2016–2020 data, we focused on 16 factors representing socioeconomic status, household composition, racial ethnic minority housing transportation access. Principal Component Analysis (PCA) reduced these variables into five principal components: Socioeconomic Disadvantage, Elderly Disability, Housing Density Vehicle Access, Youth Mobile Housing, Group Quarters Unemployment. An additive model created a comprehensive Social Vulnerability Index (SVI). Statistical analysis, including Mann–Whitney U test, indicated significant differences between urban rural areas. Spatial cluster analysis using Local Indicators of Association (LISA) revealed high clusters, particularly regions along Gulf Coast, Atlantic Seaboard, Mississippi River. Global local regression models, Ordinary Least Squares (OLS) Geographically Weighted Regression (GWR), highlighted vulnerability’s variability localized impacts risk. The results showed substantial regional disparities, with areas exhibiting higher risks vulnerability, especially southeastern centers. also that Unemployment, Access are closely related to areas, while relationship such as Disability is more pronounced. underscores necessity for targeted, region-specific strategies mitigate enhance resilience, where converge. These findings provide critical insights policymakers planners aiming address environmental justice promote equitable management diverse geographic settings.

Язык: Английский

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Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Water, Год журнала: 2022, Номер 14(1), С. 126 - 126

Опубликована: Янв. 5, 2022

Flash-flood disasters pose a serious threat to lives and property. To meet the increasing demand for refined rapid assessment on flood loss, this study exploits geomatic technology integrate multi-source heterogeneous data put forward comprehensive risk index (CRI) calculation with fuzzy evaluation (FCE). Based mathematical correlations between CRIs actual losses of in Weifang City, direct economic loss rate (DELR) model agricultural (AELR) were developed. The case shows that CRI system can accurately reflect level flash-flood disaster. Both models are capable simulating disaster impacts. results generally consistent quantified generated from simulation close losses. spatial resolution is up 100 × m. This provides method high temporal resolution, which quickly assess rainstorm disasters. proposed paper, coupled study, reliable reference flash floods caused will be helpful existing literature.

Язык: Английский

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