Low impact development techniques to mitigate the impacts of climate-change-induced urban floods: Current trends, issues and challenges

Pour, Sahar Hadi; Wahab, Ahmad Khairi Abd; Shahid, Shamsuddin; Asaduzzaman, Md; Dewan, Ashraf

doi:10.1016/j.scs.2020.102373

Cited by 221 publications

(90 citation statements)

References 157 publications

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“…However, urbanization has a significant impact on the water resources of a region [75,76]. Increased imperviousness due to urbanization reduces groundwater recharge, increases surface overflow, and alters the water cycle [77]. In addition, the high consumption of water in the urban area significantly affects water resources.…”

Section: Discussionmentioning

confidence: 99%

Projection of Water Availability and Sustainability in Nigeria Due to Climate Change

2021

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This study projects water availability and sustainability in Nigeria due to climate change. This study used Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage data (TWS), Global Precipitation Climatology Center (GPCC) precipitation data and Climate Research Unit (CRU) temperature data. Four general circulation models (GCMs) of the Coupled Model Intercomparison Project 5 were downscaled using the best of four downscaling methods. Two machine learning (ML) models, RF and SVM, were developed to simulate GRACE TWS data for the period 2002–2016 and were then used for the projection of spatiotemporal changes in TWS. The projected TWS data were used to assess the spatiotemporal changes in water availability and sustainability based on the reliability–resiliency–vulnerability (RRV) concept. This study revealed that linear scaling was the best for downscaling over Nigeria. RF had better performance than SVM in modeling TWS for the study area. This study also revealed there would be decreases in water storage during the wet season (June–September) and increases in the dry season (January–May). Decreases in projected water availability were in the range of 0–12 mm for the periods 2010–2039, 2040–2069, and 2070–2099 under RCP2.6 and in the range of 0–17 mm under RCP8.5 during the wet season. Spatially, annual changes in water storage are expected to increase in the northern part and decrease in the south, particularly in the country’s southeast. Groundwater sustainability was higher during the period 2070–2099 under all RCPs compared to the other periods and this can be attributed to the expected increases in rainfall during this period.

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Section: Discussionmentioning

confidence: 99%

Projection of Water Availability and Sustainability in Nigeria Due to Climate Change

2021

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“…There are a lot of impervious surface on the urban surface, less rainfall interception and infiltration, and the urban surface roughness is small. The natural river channel is transformed into an artificial river channel with fast convergence speed (Chen et al, 2015;Bertilsson et al, 2019;Pour et al, 2020). Urban drainage system is very sensitive to short duration rainstorm, so it is necessary to focus on the non-stationary short duration rainstorm intensity formula and its impacts on simulation of urban drainage system.…”

Section: Introductionmentioning

confidence: 99%

Calculation Method of Short Duration Rainstorm Intensity Formula Considering Non-Stationarity of Rainfall Series: Impacts on Simulation of Urban Drainage System

Liu

Wang

2021

Preprint

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The changing nature of the earth's climate and rapid urbanization lead to the change of rainfall characteristics in urban areas, and the stability of rainfall series is destroyed, it is a difficult challenge to consider this change in urban drainage simulation. A variety of methods are used to test the stationarity of annual maximum rainfall intensity series of Zhengzhou meteorological station from 1981 to 2010, and the intensity-duration-frequency (IDF) curves of changing environment are fitted by GAMLSS model and further generalized into short duration rainstorm intensity formula. The 3-hour design rainstorm in different scenarios was used as the input of Mike Flood model to simulate the operation of the campus drainage system of Zhengzhou University. Results indicated that: The rainfall series is non-stationary and has an increasing trend. Although the parameters of the short duration rainstorm intensity formula have no fixed change rules, there are traces to follow in the design rainstorm. According to Mike Flood model, the non-stationary scenario provides a series of dangerous signals such as more flood volume, larger inundation area, higher flood depth and slower recession process. The flood volume of the non-stationary scenario is 23.5% more than that of the stationary scenario, and the inundated area is 18.5% more when the return period is 5 years. In the future, the difference is 34.0% and 24.6% respectively, and it can reach more than 50% when the return period is once in two years. We will discuss the non-stationarity and challenges brought about by changing environments.

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“…In many parts of the world, floods have had devastating impacts in terms of loss of life and property (Dewan, 2013a; Nashwan, Shahid, & Wang, 2019b; Pour, Bin Harun, & Shahid, 2014; Yaseen et al, 2019). To ameliorate the risks associated with flooding events on the development of a region, it is important to define the spatial distribution of at‐risk locations, particularly in the context of ongoing climate change (Pour, Wahab, Shahid, Asaduzzaman, & Dewan, 2020; Santos & Reis, 2018).…”

Section: Introductionmentioning

confidence: 99%

Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia

Ziarh

Asaduzzaman

Dewan

et al. 2020

J Flood Risk Management

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A major challenge in flood mapping using multi‐criteria decision analysis (MCDA) is the selection of the flood risk factors and the estimation of their relative importance. A novel MCDA method through the integration of two state‐of‐the‐art MCDA methods based on catastrophe and entropy theory is proposed for mapping flood risk in the Peninsular Malaysia, an area very susceptible to flooding events, is presented. A literature review was undertaken which identified the various socioeconomic, physical and environmental factors which can influence flood vulnerability and risk. A set of variables was selected using an importance index which was developed based on a questionnaire survey. Population density, percentage of vulnerable people, household income, local economy, percentage of foreign nationals, elevation and forest cover were all deemed highly relevant in mapping flood risk and determining the zones of maximum vulnerability. Spatial integration of factors using the proposed MCDA revealed that coastal regions are highly vulnerable to floods when compared to inland locations. Flood risk maps indicate that the northeastern coastal region of Malaysia is at greatest risk of flooding. The prediction capability of the integrated method was found to be 0.93, which suggests good accuracy of the proposed method in flood risk mapping.

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Low impact development techniques to mitigate the impacts of climate-change-induced urban floods: Current trends, issues and challenges

Cited by 221 publications

References 157 publications

Projection of Water Availability and Sustainability in Nigeria Due to Climate Change

Projection of Water Availability and Sustainability in Nigeria Due to Climate Change

Calculation Method of Short Duration Rainstorm Intensity Formula Considering Non-Stationarity of Rainfall Series: Impacts on Simulation of Urban Drainage System

Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia

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