Impact of climate change on stormwater drainage in urban areas

Kumar, Satish; Agarwal, Ankit; Ganapathy, Abinesh; Villuri, Vasanta Govind Kumar; Pasupuleti, Srinivas; Kumar, Dheeraj; Kaushal, D. R.; Gosain, A. K.; Sivakumar, Bellie

doi:10.1007/s00477-021-02105-x

Cited by 24 publications

(8 citation statements)

References 60 publications

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“…They concluded that the variation in intensity of rainfall caused by climate change is another challenge to increasing urban flooding risks [ 13 , 14 ]; Hassan et al, 2017; [ 15 ]. In addition, Balistrocchi and Grossi [ 16 ] and Kumar et al [ 17 ] noted that the stormwater drainage system failed due to insufficient/overflowing capacity to accommodate the increased flooding volume caused by climate change.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of climate change, urbanization, and low-impact development practices on urban flooding

Bibi

Kara

2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Evaluation of climate change, urbanization, and low-impact development practices on urban flooding

Bibi

Kara

2023

Heliyon

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“…As an implication, extreme rainfall would occur more commonly, increasing the flood hazard. The increased flood hazard could be devastating, especially in urban areas with high population density and severe exposure to flood hazards [3][4][5]. In terms of the number of disasters, Indonesia suffered heavy losses due to it.…”

Section: Introductionmentioning

confidence: 99%

Utilization of quantile mapping method using cumulative distribution function (CDF) to calibrated satellite rainfall GSMaP in Majalaya watershed

Burnama

Rohmat

Wijayasari

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Flooding is a major problem in Indonesia, with a need for a more data-driven model to understand the sources of floods and potential measures. As ground-based data availability and quality are major sources of uncertainty in flood modeling in such a developing country, satellite-based data is one significant option to complement the drawbacks of ground-based data. The data available from the satellite data still needs to be calibrated with the ground-based observation data. This research uses satellite rainfall data from GSMaP (Global Satellite Mapping and Precipitation) by JAXA and the quantile mapping method to calibrate the satellite rainfall data with local rainfall observation. The quantile method is a bias correction method frequently used for precipitation and temperature variables. This method investigates the bias in regional satellite rainfall data and local rainfall observation. The satellite and ground-based data scales are changed to quantiles or percentiles to calculate the correction factors. The quantile mapping method aims to determine the closely fitted CDF curve between the satellite and the ground-based rainfall data. The study area is Majalaya, one of the regencies in West Java known as the metropolitan city for the textile industry and agriculture center. The Quantile Mapping method successfully calibrated the GSMaP rainfall data in Majalaya with an R2 of 0.996. This research can solve the problem of rainfall data in Indonesia and can further be developed for other purposes, such as flood analysis and prediction.

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“…It has been pointed out (e.g., [30]) that road pavement softening at elevated ambient temperature (cf. Figure 2) may be likely to aggre- On the other hand, when evaluating road runoff, specialists are concerned with the transport and discharge of increased water volumes and increased flow rates during runoff events caused by extreme precipitation (e.g., [20][21][22][23][24]). While precipitation is clearly a critical issue of concern, temperature, expected to change as well, is not addressed much; although, it has already been correlated with the presence and concentration of pollutants (e.g., [25]).…”

Section: Introduction 1climate Change Impacts On Road Pavement and Ro...mentioning

confidence: 99%

Road Pavement, Road Pollution, and Sustainability under Climate Change Increased Temperature

et al. 2023

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This paper presents a multidisciplinary approach to understand the impacts of temperature increase on the retention of particulate pollutants, such as heavy metals and microplastics, by the road pavement material. A soil with a particle size distribution similar to road dust was selected. A Wheel Tracking device was used to assess the permanent deformation behavior of prismatic specimens and the retention of the dust, at controlled temperatures of 40 °C and 60 °C, likely to occur on pavement in the future. The soil representing road pollutants was placed at the top of the slabs prior to the Wheel Tracking Test (WTT), based on the European Standard EN 12697-22:2020. After the WTT, two common methods were used, in order to evaluate the soil retention (pollution accumulation) on road pavement. The results confirm that the viscoelastic behavior of bituminous mixtures under increased temperatures can contribute to particle retention at the pavement. Future studies are needed to understand the phenomena, the retention characteristics by different bituminous mixtures, and the efficiency of pollutants capture. The work opens the opportunity to develop innovative road pavement bituminous mixtures that can reduce the discharge of road particulate pollutants, and have increased resilience and sustainability in extreme weather conditions.

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Impact of climate change on stormwater drainage in urban areas

Cited by 24 publications

References 60 publications

Evaluation of climate change, urbanization, and low-impact development practices on urban flooding

Evaluation of climate change, urbanization, and low-impact development practices on urban flooding

Utilization of quantile mapping method using cumulative distribution function (CDF) to calibrated satellite rainfall GSMaP in Majalaya watershed

Road Pavement, Road Pollution, and Sustainability under Climate Change Increased Temperature

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