Evaluating the effect of urban flooding reduction strategies in response to design rainfall and low impact development

Hua, Pei; Yang, Wenlin; Qi, Xiaochen; Jiang, Shanshan; Xie, Jiaqiang; Gu, Xianyong; Li, Honghao; Zhang, Jin; Krebs, Peter

doi:10.1016/j.jclepro.2019.118515

Cited by 100 publications

(33 citation statements)

References 32 publications

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“…During the 1990-2020 period, more than 50% of the disasters registered worldwide were related to floods [1][2][3][4][5]. Urban floods are one of the most important hydrometeorological risks faced by urban areas [6][7][8][9] and their impacts affect a large percentage of the population and the economic activities given the tendency for people to live in cities [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Effect of Urban Development in Risk of Floods in Veracruz, Mexico

2020

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Urban floods have adverse effects on the population and the economy, and they are increasing in frequency and magnitude. The State of Veracruz is the region of Mexico with the highest number of disasters, more than 50% of the total number nationwide, in the 1970–2015 period. During the 1990s, disasters in this region increased from 5 to 10 events per year, mostly in relation to intense rains and floods. This study analyzes the factors that increase the risk of urban floods in the regions: (i) the Pánuco River, (ii) the Papaloapan River, and (iii) the Coatzacoalcos River regions, combining hazard data and estimates of vulnerability factors. The 95th percentile of daily precipitation (P95) is used as a threshold of heavy rain, i.e., the natural hazard. Vulnerability is estimated in terms of the percentage of natural vegetation loss due to changes in land cover and land use in the hydrological basins and the expansion of the urban areas in the regions under study. The risk of flood was compared with records of flood events focusing on the low-frequency variations of risks and disaster activity. The trends in urban flood activity are related to the loss of natural vegetation and deterioration of the basins leading to a loss of infiltration, i.e., larger runoffs. Even when the intensity of precipitation in recent decades remains without clear trends, or shows negative tendencies in the number of intense events, the number of floods is higher mostly because of the deterioration of hydrologic basins. Therefore, the risk of flooding in the state of Veracruz is mainly related to environmental factors that result in vulnerability rather than changes in the trends of extreme precipitation activity. This result means that disaster risk reduction actions should be mainly related to rehabilitation of the basins.

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Section: Introductionmentioning

confidence: 99%

Effect of Urban Development in Risk of Floods in Veracruz, Mexico

2020

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“…is is due to the limited ability of LID practices to resist short-duration heavy rainfall. According to Hua et al [59] and Li et al [60], the runoff control effect of LIDs decreases with the increase of rainfall intensity and rainfall duration, while the detention tank can complement the advantages of LIDs. LIDs alone cannot completely avoid the risk of rainwater pipe network overflow, so other sponge facilities that have the function of artificial regulation and rainwater storage (such as rainwater pumping stations, storage reservoirs) need to be constructed coordinately.…”

Section: Simulation Results Of the Optimal Solution Modelmentioning

confidence: 99%

Mathematical Optimization Method of Low-Impact Development Layout in the Sponge City

Men

Jiang

et al. 2020

Mathematical Problems in Engineering

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Aiming at the optimization layout of distributed low-impact development (LID) practices in the sponge city, a new mathematical method combining Stormwater Management Model (SWMM) and preference-inspired co-evolutionary algorithm using goal vectors (PICEA-g) was developed and was applied in the Ximen waterlogged area of Pingxiang City. Firstly, a block-scaled rainfall-runoff model was built in the study area by using SWMM. Then, an LIDs area optimization model was established by linking the SWMM and the PICEA-g based on the Matlab platform, which took the area ratios of various LIDs in each block as decision variables and took the total runoff, peak flow, suspended substance (SS) pollutant, and LIDs cost as objective functions. Thus, the problem of LIDs layout was turned into a mathematical optimization issue. So the cost-benefit optimal solutions with different emphases were found by using this algorithm, and the LIDs layout optimal scheme for this area was further analysed and verified by rainfall-runoff model. The results show that the total runoff reduction rates of the system reach a maximum of 21.8%, the peak flow reduction rates of the system are more than 10%, and the SS pollutant reduction rates are reduced by about 30% compared with before LIDs under the design storms of different return periods. The reduction rates of each runoff index are higher than the nondominated sorting genetic algorithm II (NSGA-II) method, and decision-makers can more effectively analyse the cost-benefit optimal solution from the Pareto solution sets. Therefore, the LIDs layout optimization method proposed in this paper has obvious advantages in solving similar many-objective optimization problems (MOOPs) in sponge city construction.

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“…The upsurge in floods can be explained by various factors, including climate change [5], which generates changes in precipitation regimes and intensity [6], and often manifests in torrential rains. Intense precipitation can cause flooding in small river basins and in rivers [4].…”

Section: Introductionmentioning

confidence: 99%

Urbanization and Floods in Sub-Saharan Africa: Spatiotemporal Study and Analysis of Vulnerability Factors—Case of Antananarivo Agglomeration (Madagascar)

Ramiaramanana

Teller

2021

Water

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Flooding is currently one of the major threats to cities in Sub-Saharan Africa (SSA). The demographic change caused by the high rate of natural increase, combined with the migration toward cities, leads to a strong demand for housing and promotes urbanization. Given the insufficiency or absence of adequate planning, many constructions are installed in flood-prone zones, often without adequate infrastructure, especially drainage systems. This makes them very vulnerable. Our research consists of carrying out a spatiotemporal analysis of the agglomeration of Antananarivo (Madagascar). It shows that urbanization leads to increased exposure of populations and constructions to floods. There is a pressure on land in flood-prone zones due to the exponential growth of the population at the agglomeration level. Some 32% of the population of the Antananarivo agglomeration lived in flood-prone zones in 2018. An analysis of the evolution of built spaces from 1953 to 2017 highlights that urban expansion was intense over those years (6.1% yearly increase of built areas). This expansion triggered the construction of built areas in flood-prone zones, which evolved from 399 ha in 1953 to 3675 ha in 2017. In 2017, 23% of the buildings in the agglomeration, i.e., almost one out of every four buildings, were in flood-prone zones. A share of the urban expansion in flood-prone zones is related to informal developments that gather highly vulnerable groups with very little in terms of economic resources. Better integration of flood risk management in spatial planning policies thus appears to be an essential step to guide decisions so as to coordinate the development of urban areas and drainage networks in a sustainable way, considering the vulnerability of the population living in the most exposed areas.

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Evaluating the effect of urban flooding reduction strategies in response to design rainfall and low impact development

Cited by 100 publications

References 32 publications

Effect of Urban Development in Risk of Floods in Veracruz, Mexico

Effect of Urban Development in Risk of Floods in Veracruz, Mexico

Mathematical Optimization Method of Low-Impact Development Layout in the Sponge City

Urbanization and Floods in Sub-Saharan Africa: Spatiotemporal Study and Analysis of Vulnerability Factors—Case of Antananarivo Agglomeration (Madagascar)

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