scholarly journals Urban flood risk analysis of buildings using HEC-RAS 2D in climate change framework

2021 ◽  
Author(s):  
R. Madhuri ◽  
Y. S. L. Sarath Raja ◽  
K. Srinivasa Raju ◽  
Bonagiri Sai Punith ◽  
Kondisetti Manoj

Abstract The present study aims to assess flood depth, building risk analysis, and the effectiveness of various flood adaptation strategies to attenuate building risk caused by urban floods in climate change scenarios. A framework is proposed where a hydraulic model, Hydrologic Engineering Center's-River Analysis System 2D (HEC-RAS 2D), is applied for 2-dimensional flood modeling to estimate (a) submerged areas, (b) flood depth, and (c) building risk for extreme events corresponding to two representative concentration pathways (RCPs), 6.0 and 8.5. Greater Hyderabad Municipal Corporation (GHMC), India, is chosen for demonstration. Percentages of buildings in GHMC under high, medium, and low risks for RCP 6.0 are 38.19, 9.91, and 51.9% in the respective order, and these are 40.82, 10.55, and 48.63% for RCP 8.5. Six flood proofing (FP) strategies (S1–S6) are proposed for attenuating building risk along with the required capital cost. The capital investment required for FP to achieve the ideal situation of no risk for all buildings (strategy S6) works out to Rs. 3,740 × 107 and Rs. 3,800 × 107 for RCPs 6.0 and 8.5. It is observed that the effect of adaptation strategies is significant.

2018 ◽  
Vol 162 ◽  
pp. 154-163 ◽  
Author(s):  
Youssef Brouziyne ◽  
Aziz Abouabdillah ◽  
Abdelaziz Hirich ◽  
Rachid Bouabid ◽  
Rashyd Zaaboul ◽  
...  

2021 ◽  
Vol 26 (12) ◽  
Author(s):  
Tiago Souza Mattos ◽  
Paulo Tarso S. Oliveira ◽  
Leonardo de Souza Bruno ◽  
Nilo Dinis de Oliveira ◽  
Jose G. Vasconcelos ◽  
...  

2010 ◽  
Vol 148 (6) ◽  
pp. 683-694 ◽  
Author(s):  
A. P. BARNES ◽  
A. WREFORD ◽  
M. H. BUTTERWORTH ◽  
M. A. SEMENOV ◽  
D. MORAN ◽  
...  

SUMMARYVarious adaptation strategies are available that will minimize or negate predicted climate change-related increases in yield loss from phoma stem canker in UK winter oilseed rape (OSR) production. A number of forecasts for OSR yield, national production and subsequent economic values are presented, providing estimates of impacts on both yield and value for different levels of adaptation. Under future climate change scenarios, there will be increasing pressure to maintain yields at current levels. Losses can be minimized in the short term (up to the 2020s) with a ‘low’-adaptation strategy, which essentially requires some farmer-led changes towards best management practices. However, the predicted impacts of climate change can be negated and, in most cases, improved upon, with ‘high’-adaptation strategies. This requires increased funding from both the public and private sectors and more directed efforts at adaptation from the producer. Most literature on adaptation to climate change has had a conceptual focus with little quantification of impacts. It is argued that quantifying the impacts of adaptation is essential to provide clearer information to guide policy and industry approaches to future climate change risk.


Author(s):  
Siriwat Boonwichai ◽  
Sangam Shrestha ◽  
Pragya Pradhan ◽  
Mukand S. Babel ◽  
Avishek Datta

Abstract This study investigates the potential impacts of climate change on water resources and evaluates adaptation strategies on rainfed rice water management under climate change scenarios in the Songkhram River Basin, Thailand. The Soil and Water Assessment Tool (SWAT) model was used to project the future water availability under climate change scenarios for the period of 2020–2044. Future annual water availability is expected to remain unchanged due to unchanged future rainfall but expected to reduce from June to November due to changes in seasonal rainfall. The effects of supplying irrigation water to reduce the impact of climate change and increase rainfed rice production were evaluated. To increase the rice production by 15%, it is proposed to construct a reservoir with a capacity of below 65 MCM in each of the 15 sub-basins to fulfill the irrigation water requirements during the rainfed rice season. Alternatively, adaptation at the farm scale can be implemented by constructing ponds with a capacity of 900 m3 to store water for 1 ha of rice field to meet the potential rice yield during the non-rainfed rice season. The results of this study are helpful to policymakers in understanding the potential impacts of climate change and the formulation of adaptation strategies for water and rice sectors in the basin.


2021 ◽  
Vol 13 (10) ◽  
pp. 5651
Author(s):  
Michel Craninx ◽  
Koen Hilgersom ◽  
Jef Dams ◽  
Guido Vaes ◽  
Thomas Danckaert ◽  
...  

Worldwide, climate change increases the frequency and intensity of heavy rainstorms. The increasing severity of consequent floods has major socio-economic impacts, especially in urban environments. Urban flood modelling supports the assessment of these impacts, both in current climate conditions and for forecasted climate change scenarios. Over the past decade, model frameworks that allow flood modelling in real-time have been gaining widespread popularity. Flood4castRTF is a novel urban flood model that applies a grid-based approach at a modelling scale coarser than most recent detailed physically based models. Automatic model set-up based on commonly available GIS data facilitates quick model building in contrast with detailed physically based models. The coarser grid scale applied in Flood4castRTF pursues a better agreement with the resolution of the forcing rainfall data and allows speeding up of the calculations. The modelling approach conceptualises cell-to-cell interactions while at the same time maintaining relevant and interpretable physical descriptions of flow drivers and resistances. A case study comparison of Flood4castRTF results with flood results from two detailed models shows that detailed models do not necessarily outperform the accuracy of Flood4castRTF with flooded areas in-between the two detailed models. A successful model application for a high climate change scenario is demonstrated. The reduced data need, consisting mainly of widely available data, makes the presented modelling approach applicable in data scarce regions with no terrain inventories. Moreover, the method is cost effective for applications which do not require detailed physically based modelling.


Horticulturae ◽  
2016 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Frank Eulenstein ◽  
Marcos Lana ◽  
Sandro Luis Schlindwein ◽  
Askhad Sheudzhen ◽  
Marion Tauscke ◽  
...  

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