scholarly journals Simulation-optimization framework in urban flood management for historic and climate change scenarios

2021 ◽  
Author(s):  
R. Madhuri ◽  
Y. S. L. Sarath Raja ◽  
K. Srinivasa Raju
Keyword(s):  
Best Management Practices ◽  
Management Practices ◽  
Simulation Optimization ◽  
Flood Management ◽  
Hydraulic Modeling ◽  
Optimization Approach ◽  
Climate Change Scenarios ◽  
Urban Flood ◽  
Optimization Framework ◽  
Runoff Reduction

Abstract A simulation-optimization framework is established by integrating Hydrologic Engineering Center Hydraulic Modeling System (HEC-HMS) for computation of runoff, siting tool EPA System for Urban Storm-water Treatment and Analysis INtegration (EPA-SUSTAIN) for placement of Best Management Practices (BMPs), and Binary Linear Integer Programming (BLIP) for runoff reduction. The framework is applied to an urban catchment, namely Greater Hyderabad Municipal Corporation (GHMC). The rainfall-runoff analysis was conducted for extreme rainfalls for historic (2016) and future events in 2050 and 2064 under Representative Concentration Pathways (RCPs) 6.0 and 8.5. The simulation-optimization approach in the historic scenario yielded 495,607 BMPs occupying 76.99 km2 resulting in runoff reduction of 21.54 mm (198.76–177.22 mm). Achieved runoff reduction is 38.72 (428.35–389.63 mm) and 55.03 (602.65–547.62 mm), respectively, for RCPs 6.0 and 8.5, which could meet the water demands of GHMC for 10.33 and 11.53 days. Impacts of 10 different BMP configurations of varying costs (10–70%) and pollutant load reductions (0–3%) on runoff reduction are accomplished as part of sensitivity analysis.

Developing an Algorithm for Urban Flood Management With the Aim of Reducing Damage and Costs Using the Concept of Conditional Value at Risk 

2021 ◽  
Author(s):  
Pedram Eshaghieh Firoozabadi ◽  
sara nazif ◽  
Seyed Abbas Hosseini ◽  
Jafar Yazdi
Keyword(s):  
At Risk ◽  
Hybrid Model ◽  
Best Management Practices ◽  
Value At Risk ◽  
Management Practices ◽  
Flood Management ◽  
Surface Flow ◽  
Conditional Value At Risk ◽  
Urban Flood ◽  
Proposed Model

Abstract Flooding in urban area affects the lives of people and could cause huge damages. In this study, a model is proposed for urban flood management with the aim of reducing the total costs. For this purpose, a hybrid model has been developed using SWMM and a quasi-two-dimensional model based on the cellular automata (CA) capable of considering surface flow infiltration. Based on the hybrid model outputs, the best management practices (BMPs) scenarios are proposed. In the next step, a damage estimation model has been developed using depth-damage curves. The amount of damage has been estimated for the scenarios in different rainfall return periods to obtain the damage and cost- probability functions. The conditional value at risk (CVaR) are estimated based on these functions which is the basis of decision making about the scenarios. The proposed model is examined in an urban catchment located in Tehran, Iran. In this study, five scenarios have been designed on the basis of different BMPs. It has been found that the scenario of permeable pavements has the lowest risk. The proposed model enables the decision makers to choose the best scenario with the minimum cost taking into account the risk associated with each scenario.

scholarly journals Multiobjective optimisation and cluster analysis in placement of best management practices in an urban flooding scenario

2021 ◽  
Author(s):  
Rohit Dwivedula ◽  
R. Madhuri ◽  
K. Srinivasa Raju ◽  
A. Vasan
Keyword(s):  
Best Management Practices ◽  
Surface Runoff ◽  
Management Practices ◽  
Extreme Rainfall ◽  
Extreme Rainfall Event ◽  
Urban Flooding ◽  
Multiobjective Optimisation ◽  
Urban Floods ◽  
Best Management ◽  
Runoff Reduction

Abstract Urban floods cause massive damage to infrastructure and loss of life. This research is being carried out to study how Best Management Practices (BMPs) can mitigate the negative effects of urban floods during extreme rainfall events. Strategically placing BMPs throughout open areas and rooftops in urban areas serves multiple purposes of storage of rainwater, removal of pollutants from surface runoff and sustainable utilisation of land. This situation is framed as a multiobjective optimisation problem to analyse the trade-offs between multiple goals of runoff reduction, construction cost and pollutant load reduction. Output includes a wide range of choices to choose from for decision makers. Proposed methodology is demonstrated with a case study of Greater Hyderabad Municipal Corporation (GHMC), India. Historical extreme rainfall event of 237.5 mm which occurred in year 2016 and extreme rainfall event of 1,740.62 mm corresponding to Representative Concentration Pathway (RCP) 2.6 were considered for analysis. Two multiobjective optimisation algorithms, namely, Non-dominated Sorting Genetic Algorithm – III (NSGA-III) and Constrained Two-Archive Evolutionary Algorithm (C-TAEA) are employed to solve the BMP placement problem, following which the resulting pareto-fronts are ensembled. K-Medoids-based cluster analysis is performed on the resulting ensembled pareto-front. The proposed ensembled approach identified ten possible BMP configurations with costs ranging from Rs. to surface runoff reduction ranging from to and pollutant load removal ranging from tonnes. Use of BMPs in future event has the potential to reduce surface runoff from , while simultaneously removing tonnes of pollutants for cost ranging from The proposed framework forms an effective and novel way to characterise and solve BMP optimisation problems in context of climate change, presenting a view of the urban flooding scenario today, and the likely course of events in the future.

scholarly journals The Importance of Digital Elevation Model Selection in Flood Simulation and a Proposed Method to Reduce DEM Errors: A Case Study in Shanghai

2021 ◽  
Author(s):  
Kepeng Xu ◽  
Jiayi Fang ◽  
Yongqiang Fang ◽  
Qinke Sun ◽  
Chengbo Wu ◽  
...  
Keyword(s):  
Open Access ◽  
Critical Role ◽  
Flood Management ◽  
Hydraulic Modeling ◽  
Flood Mapping ◽  
Flood Inundation ◽  
Flood Simulation ◽  
Urban Flood ◽  
Digital Elevation ◽  
Flood Inundation Mapping

AbstractDigital Elevation Models (DEMs) play a critical role in hydrologic and hydraulic modeling. Flood inundation mapping is highly dependent on the accuracy of DEMs. Various vertical differences exist among open access DEMs as they use various observation satellites and algorithms. The problem is particularly acute in small, flat coastal cities. Thus, it is necessary to assess the differences of the input of DEMs in flood simulation and to reduce anomalous errors of DEMs. In this study, we first conducted urban flood simulation in the Huangpu River Basin in Shanghai by using the LISFLOOD-FP hydrodynamic model and six open-access DEMs (SRTM, MERIT, CoastalDEM, GDEM, NASADEM, and AW3D30), and analyzed the differences in the results of the flood inundation simulations. Then, we processed the DEMs by using two statistically based methods and compared the results with those using the original DEMs. The results show that: (1) the flood inundation mappings using the six original DEMs are significantly different under the same simulation conditions—this indicates that only using a single DEM dataset may lead to bias of flood mapping and is not adequate for high confidence analysis of exposure and flood management; and (2) the accuracy of a DEM corrected by the Dixon criterion for predicting inundation extent is improved, in addition to reducing errors in extreme water depths—this indicates that the corrected datasets have some performance improvement in the accuracy of flood simulation. A freely available, accurate, high-resolution DEM is needed to support robust flood mapping. Flood-related researchers, practitioners, and other stakeholders should pay attention to the uncertainty caused by DEM quality.

scholarly journals Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Nor Zaimah Che Ghani ◽  
Zorkeflee Abu Hasan ◽  
Lau Tze Liang
Keyword(s):  
Hydrological Modeling ◽  
Gene Expression Programming ◽  
Flood Management ◽  
Hydraulic Modeling ◽  
Monthly Precipitation ◽  
Precipitation Data ◽  
Urban Flood ◽  
Rainfall Station ◽  
Study Gene Expression

Water resources and urban flood management require hydrologic and hydraulic modeling. However, incomplete precipitation data is often the issue during hydrological modeling exercise. In this study, gene expression programming (GEP) was utilised to correlate monthly precipitation data from a principal station with its neighbouring station located in Alor Setar, Kedah, Malaysia. GEP is an extension to genetic programming (GP), and can provide simple and efficient solution. The study illustrates the applications of GEP to determine the most suitable rainfall station to replace the principal rainfall station (station 6103047). This is to ensure that a reliable rainfall station can be made if the principal station malfunctioned. These were done by comparing principal station data with each individual neighbouring station. Result of the analysis reveals that the station 38 is the most compatible to the principal station where the value of R2 is 0.886.

Performance of low-impact development best management practices: a critical review

2019 ◽  
Vol 27 (1) ◽  
pp. 17-42 ◽  
Author(s):  
James Hager ◽  
Guangji Hu ◽  
Kasun Hewage ◽  
Rehan Sadiq
Keyword(s):  
Best Management Practices ◽  
Management Practices ◽  
Low Impact Development ◽  
Stormwater Runoff ◽  
Cold Weather ◽  
Future Research ◽  
Knowledge Gaps ◽  
Best Management ◽  
Runoff Reduction ◽  
Conflicting Objectives

Low-impact development (LID), a land planning and engineering design approach for managing urban stormwater runoff, has been widely adopted across the globe. LID best management practices (BMPs) are man-made features that rely on natural processes to manage stormwater water quantity and quality. In this article, recent literature (published after the year 2008) related to nine BMPs was reviewed to highlight the ranges in treatment efficiencies for 21 of the most frequently investigated runoff parameters. The primary function, pros and cons, and factors affecting performance of each BMP were discussed. A frequency analysis of the reviewed parameters showed that total suspended solids, total phosphorous, total nitrogen, runoff reduction, and zinc concentrations were the most frequently investigated stormwater runoff parameters. Five recurring themes were observed with regards to knowledge gaps and conflicting objectives for research related to LID BMPs that include: (i) lack of consensus on which parameters to measure for effective LID adoption, (ii) BMP performance is highly variable, (iii) many BMPs are known exporters of nutrient pollutants, (iv) lack of cold weather performance-specific studies for individual BMPs, and (v) lack of human pathogen-related stormwater quality studies for individual BMPs. Suggestions for future research are discussed to address these knowledge gaps.

scholarly journals A Systematic Review Comparing Urban Flood Management Practices in India to China’s Sponge City Program

2021 ◽  
Vol 13 (11) ◽  
pp. 6346
Author(s):  
Nawnit Kumar ◽  
Xiaoli Liu ◽  
Sanjena Narayanasamydamodaran ◽  
Kamlesh Kumar Pandey
Keyword(s):  
Systematic Review ◽  
Management Practices ◽  
Meta Analysis ◽  
Low Impact Development ◽  
Flood Management ◽  
Special Focus ◽  
Rapid Urbanization ◽  
Public And Private ◽  
Urban Flood ◽  
Sponge City

India and China are among the two most populous countries in the world that concomitantly incur substantial flood-related losses, and both countries are also experiencing rapid urbanization. This study was conducted to trace the major urban flooding cases in these countries between 2014 and 2020 and probe into their existing flood mitigation policies with special focus on China’s Sponge City Program (SCP). A systematic review using preferred reporting items for systematic review and meta-analysis protocols (PRISMA) was conducted. Results showed that both these countries experienced comparable challenges in terms of the need for localized low impact development (LID) planning given their extensive geographically induced diversities. Improved inter-governmental and inter-agential coordination, new avenues of funding involving public and private enterprises with accommodations to source local products and services to boost local economies, improved practical and technical understanding for working professionals and improved community acceptance and participation are also recommended. It is concluded that India should try to focus on holistic urban water resilience as China does with its Sponge City Program and that China should take a cue from India’s contractual and tender-based private service sourcing methods to tide over its financial setbacks in order to achieve its ambitious targets for 2030.

Sign in / Sign up

Export Citation Format

Share Document