Is there a progressive flood risk management in Nepal? A synthesis based on the perspective of a half-century (1971–2020) flood outlook
One of the most common and severe natural hazards, flood has been intensified by
anthropogenic climate change in many mountain regions affecting socioeconomic …
anthropogenic climate change in many mountain regions affecting socioeconomic …
[HTML][HTML] Assessing the efficacy of hydro-ecological based wetland management approach for flood resilience of a large river catchment
Riverine flooding is a widespread global challenge and is predicted to worsen with climate
change. Wetlands have been recognised as a potential nature-based solution (NbS) to …
change. Wetlands have been recognised as a potential nature-based solution (NbS) to …
[PDF][PDF] Deep Learning Models for Flood Predictions in South Florida
Simulating and predicting water levels in river systems is essential for flood warnings,
hydraulic operations, and flood mitigations. In the engineering field, tools such as HEC-RAS …
hydraulic operations, and flood mitigations. In the engineering field, tools such as HEC-RAS …
A deterministic topographic wetland index based on lidar-derived dem for delineating open-water wetlands
Wetlands play a significant role in flood mitigation. Remote sensing technologies as an
efficient and accurate approach have been widely applied to delineate wetlands …
efficient and accurate approach have been widely applied to delineate wetlands …
From sponge cities to sponge watersheds: Enhancing flood resilience in the Sishui River Basin in Zhengzhou, China
X Peng, X Heng, Q Li, J Li, K Yu - Water, 2022 - mdpi.com
Increasing extreme rainfall and increasingly severe flood disasters worldwide make it
essential to enhance flood resilience research and practice. The Sponge City Approach …
essential to enhance flood resilience research and practice. The Sponge City Approach …
Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques
Combined sewer overflows (CSOs), which typically occur during heavy rainfall events, pose
significant threats to both public health and the environment. These threats encompass …
significant threats to both public health and the environment. These threats encompass …
A machine learning framework for overflow prediction in combined sewer systems
Sewer overflows, which often occur during heavy rainfall events, threaten public health and
the environment, contributing to drinking water contamination and other concerns. Knowing …
the environment, contributing to drinking water contamination and other concerns. Knowing …
Comparison of the genetic algorithm and pattern search methods for forecasting optimal flow releases in a multi-storage system for flood control
This paper compares the well-known genetic algorithm (GA) and pattern search (PS)
optimization methods for forecasting optimal flow releases in a multi-storage system for flood …
optimization methods for forecasting optimal flow releases in a multi-storage system for flood …
Impact of dynamic storage management of wetlands and shallow ponds on watershed-scale flood control
This paper presents a case study on the impact of dynamic management of wetland storage
on downstream flood control at the Cypress Creek Watershed in Houston, Texas. Dynamic …
on downstream flood control at the Cypress Creek Watershed in Houston, Texas. Dynamic …
Conditional seasonal markov-switching autoregressive model to simulate extreme events: Application to river flow
B Habeeb, E Bastidas-Arteaga, M Sánchez-Silva… - … Modelling & Software, 2024 - Elsevier
Extreme events have the potential to significantly impact transportation infrastructure
performance. For example, in the case of bridges, climate change impacts the river …
performance. For example, in the case of bridges, climate change impacts the river …