Study of the natural rainstorm moving regularity method for hyetograph design

Liao, Daiqiang; Zhu, Haonan; Zhou, Jie; Wang, Ying; Sun, Jingli

doi:10.1007/s00704-019-02890-0

Cited by 10 publications

(6 citation statements)

References 4 publications

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“…In order to analyze the influence of the proportion and spatial distribution of impervious surfaces on urban waterlogging, a variety of rainfall scenarios were designed. The commonly used rain pattern analysis methods include the constant method, triangulation method, Desbordes method, Chicago method, West Sifalda method, and soil and water conservation service humidity method [39]. The Chicago rain pattern is a non-uniformdesign rain pattern designed by Keifer and Chu in 1957, according to the relationships within the rainfall intensity-duration-frequency curve [40].…”

Section: Designed Rainfall Eventsmentioning

confidence: 99%

Scenario-Based Simulation of Impervious Surfaces for Detecting the Effects of Landscape Patterns on Urban Waterlogging

Li,

Hou,

Zhang

et al. 2024

Remote Sensing

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With the increase in global extreme climate events, the frequency of urban waterlogging caused by extreme rainstorms is increasing, resulting in serious economic losses and risk to local residents. Understanding the influence of impervious surfaces on urban waterlogging is of great significance for reducing urban waterlogging disasters. Based on InfoWorks ICM, the urban waterlogging model of Lin’an City was established, and the multi-scenario design method was used to analyze the characteristics and causes of urban waterlogging under different designed rainfall return periods. The results show that the maximum stagnant water depth and area are positively correlated with the proportion of impervious surfaces and rainfall return periods. In addition, urban waterlogging is related to the fragmentation of impervious surfaces, pipeline network, and so on. Based on the findings, it is suggested that impervious surfaces should be placed upstream and along roads where feasible. It is also recommended that the aggregation of impervious surfaces is minimized to prevent urban waterlogging. The results provide technical support and reference for local governments to prevent waterlogging disasters.

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Section: Designed Rainfall Eventsmentioning

confidence: 99%

Scenario-Based Simulation of Impervious Surfaces for Detecting the Effects of Landscape Patterns on Urban Waterlogging

Li,

Hou,

Zhang

et al. 2024

Remote Sensing

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“…Accordingly, the classical methodologies are used, which apply the IDF curve as well as the rainstorm intensity formula, and include the Chicago rainstorm method (Keifer and Chu, 1957) that is related to the Intensity-Duration-Frequency (IDF) curve and rainstorm intensity equation; The Principle of Statistics (P&C) method that is also called the order-average hyetograph (Pilgrim and Cordey, 1975); and the triangular-shaped hyetograph (Yen and Chow, 1980). Furthermore, the recent modern methods that consider the unsteady flow analysis, are also developed for creating rainstorm hyetograph (Lin and Wu, 2007;Lee and Ho, 2008;Kottegoda et al, 2014;Liao et al, 2019). One of the most frequently used methods for designing rainfall hyetograph, is the synthetic block rainfalls method.…”

Section: Temporal Pattern Of the Rainstormmentioning

confidence: 99%

Evaluating the Efficacy of Low Impact Development Strategies: A Hydrologic-Economic Model to Mitigate Urban Flood Risk

Goli Hosseinabad,

Javidi Sabbaghian,

Fereshtehpour

2024

Preprint

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In recent years, the rapid expansion of urban areas has led to changes in land use, a reduction in pervious surfaces, and a disturbance in the balance between surface waters and groundwater. These urban changes, combined with inadequate drainage systems and misdirection of runoff, have resulted in severe urban floods, causing numerous fatalities and damage to urban areas. As a result, investigating the effects of flood occurrences and determining proper mitigation measures to reduce flood damage is essential. This paper aims to establish a novel economic-hydrologic model to evaluate the efficacy of Low-impact Development (LID) measures in urban Bronx River catchment, NYC. The model examines reduced peak discharge of flood and imposed damage. Initially, the EPA’s SWMM is used to simulate urban flooding based on recent extreme events. LID scenarios are then implemented, including individual and combined scenarios, to mitigate the adverse impacts of flood occurrences of high to low frequency. By means of the HEC-GeoRAS tool, highly detailed flood inundation maps are generated and seamlessly incorporated into the flood damage estimation model, namely HAZUS, to obtain estimates of the potential damage caused by floods. Using the reduced monetary damages and the implementation cost of LID measures, the benefit-to-cost (BC) ratio is then calculated. Findings indicated that the combined LID scenario is the most effective approach in peak flow reduction. Moreover, Permeable pavement outperforms infiltration trench, bio retention cell, and rain barrel in terms of benefit-to-cost ratio, with rain barrel showing the lowest ratio. The proposed evaluation system for LID measures, with a focus on flood damage reduction as a key benefit, provides valuable insights for identifying optimal scenarios and facilitating informed decision-making.

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“…The Chicago rainfall pattern, also known as the K&C rainfall pattern, is a non-uniform design rainfall pattern proposed by Keifer and Chu in 1957. It is based on the formula of storm intensity and the peak factor to derive short-term precipitation processes for a specified duration and recurrence interval (Liao et al, 2019). In areas with insufficient data or during the planning phase of urban pipe networks, design rainfall is often used.…”

Section: Rainfall Datamentioning

confidence: 99%

Parameter Sensitivity Analysis of SWMM model in an Airport Airfield Area

Peng

Zhao

Ouyang

et al. 2023

Preprint

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Storm Water Management Model (SWMM) and Geographic Information System (GIS) can provide prediction and management for airport flood problems. Efficient and accurate acquisition of sensitive parameters is the key to real-time model calibration. Due to the influence of special land types, functional zoning and use requirements of airports, there are many problems in parameter sensitivity analysis, such as large sampling parameters, large amount of calculation, and nonlinear correlation between input and output variables. In this paper, the SWMM model of airport airfield area is built, combining GIS and Python programming technology and using Latin Hypercube sampling, a correlation analysis method is proposed to study whether the input parameters have nonlinear correlation with the output results and its strength, and compared with the improved Morris screening method. The results show that, the sensitivity of parameters is more balanced for the total inflow, there is no very sensitive parameter, and the nonlinear correlation between the parameters and the total inflow is weak. Manning-N is sensitive to average depth, hour of maximum flooding, and time to peak, which indicates that there is a strong nonlinear correlation between them and Manning-N. From the improved Morris screening analysis, it can be seen that there are no highly sensitive parameters for peak flow, and the sensitive parameters are Zero-Imperv and Manning-N. Highly sensitive parameters for time to peak are Manning-N, N-perv, S-Imperv, and N-Imperv. This paper quantitatively analyzes the influence of input parameters of the storm water management model on the output results, effectively identify the important parameters that affecting the output results, and analyze the nonlinear correlation between the input parameters and the output results. The results can greatly improve the accuracy of airport flood model, and provide theoretical guidance for the application and parameter calibration of SWMM in airport.

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Study of the natural rainstorm moving regularity method for hyetograph design

Cited by 10 publications

References 4 publications

Scenario-Based Simulation of Impervious Surfaces for Detecting the Effects of Landscape Patterns on Urban Waterlogging

Scenario-Based Simulation of Impervious Surfaces for Detecting the Effects of Landscape Patterns on Urban Waterlogging

Evaluating the Efficacy of Low Impact Development Strategies: A Hydrologic-Economic Model to Mitigate Urban Flood Risk

Parameter Sensitivity Analysis of SWMM model in an Airport Airfield Area

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