Evaluation of stormwater management approaches and challenges in urban flood control

S Arya, A Kumar - Urban Climate, 2023 - Elsevier
Across the globe, the damage caused by urban floods has increased manifold. The
unchecked development has encroached the natural drainage, and the conventional …

Integrated community-based approaches to urban pluvial flooding research, trends and future directions: A review

K Azizi, SK Diko, L Saija, MG Zamani, CI Meier - Urban Climate, 2022 - Elsevier
Urban pluvial flooding (UPF) resulting from localized, intense, rainfall-generated ponding
and overland flow causes a range of socio-environmental impacts. UPF is driven by a …

[HTML][HTML] Application of machine learning and data visualization techniques for decision support in the insurance sector

S Rawat, A Rawat, D Kumar, AS Sabitha - International Journal of …, 2021 - Elsevier
The insurance industry has a giant role in the sustainable economic growth of any country.
With an increase in the number of insurance buyers, it has become an absolute necessity for …

Temporal compounding increases economic impacts of atmospheric rivers in California

C Bowers, KA Serafin, JW Baker - Science Advances, 2024 - science.org
Temporally compounding atmospheric river (AR) events cause severe flooding and damage
in California. However, the contribution of temporal compounding to AR-induced loss has …

Urban flood hazard map** using machine learning models: GARP, RF, MaxEnt and NB

M Norallahi, H Seyed Kaboli - Natural Hazards, 2021 - Springer
Rapid urban development, increasing impermeable surfaces, poor drainage system and
changes in extreme precipitations are the most important factors that nowadays lead to …

[HTML][HTML] Quantification of continuous flood hazard using random forest classification and flood insurance claims at large spatial scales: a pilot study in southeast Texas

W Mobley, A Sebastian, R Blessing… - … Hazards and Earth …, 2021 - nhess.copernicus.org
Pre-disaster planning and mitigation necessitate detailed spatial information about flood
hazards and their associated risks. In the US, the Federal Emergency Management Agency …

Machine learning in forecasting motor insurance claims

T Poufinas, P Gogas, T Papadimitriou, E Zaganidis - Risks, 2023 - mdpi.com
Accurate forecasting of insurance claims is of the utmost importance for insurance activity as
the evolution of claims determines cash outflows and the pricing, and thus the profitability, of …

Empirical causal analysis of flood risk factors on US flood insurance payouts: Implications for solvency and risk reduction

A Bhattacharyya, M Hastak - Journal of Environmental Management, 2024 - Elsevier
This paper presents a regression model that quantifies the causal relationship between
flood risk factors and the flood insurance payout in the US The flood risk factors that have …

Flood risk behaviors of United States riverine metropolitan areas are driven by local hydrology and shaped by race

J Knighton, K Hondula, C Sharkus… - Proceedings of the …, 2021 - National Acad Sciences
Flooding risk results from complex interactions between hydrological hazards (eg, riverine
inundation during periods of heavy rainfall), exposure, vulnerability (eg, the potential for …

Under-reported and under-served: disparities in US disaster federal aid-to-damage ratios after hurricanes

L Waters, K Best, Q Miao, M Davlasheridze… - International Journal of …, 2024 - Elsevier
The level of outlays that individuals and communities receive following disasters influences
the rapidity by and the degree to which they recover. While there is no prescribed formula for …