2019대한환경공학회지Open access

Low Impact Development Modeling: Literature Review and Suggestion for Future Work

Sang‐Soo Baek, Hanna Choi, Jongkwan Park

Open full text 2 citations

Abstract

Addressing water-associated challenges is critical for urban watershed management. Low Impact Development (LID) practices have been proposed as a promising urban management methodology based on water storage and infiltration. Previous studies considered LID practices as a promising strategy that can control urban stormwater runoff and pollution in the urban ecosystem. With limited stormwater management funding, mathematical models became vital tools to better understand and control hydrological processes in LID; thus, encouraging a wider application of LID practices. As well, they can be useful for implementation of LID in more efficient approaches. Several research groups have developed LID modeling tools such as Storm Water Management Model (SWMM), System for Urban Stormwater Treatment and Analysis IntegratioN (SUSTAIN), and Western Washington Hydrologic Model (WWHM). EPA SWMM have used widely to simulate LID practices and SUSTAIN can analyze the cost-effectiveness regarding to LID. WWHM is developed for the long-term simulation of LID. These models can simulate the effect of LID applications on the hydrological cycle and water quality and have been widely used to evaluate the performance of LID in urban areas. In addition to analyzing the reduction effect by LID, these models can also generate optimal LID designs. However, these models still have limitation in terms of the soil water flow and water quality simulation by LID because they used simple equation for soil water flow and water quality simulation. Therefore, these model need to modify the model mechanism for enhancing the model. Key words: Low Impact Development, Urban, SWMM, SUSTAIN, WWHM

About this research paper

What this paper is about

Addressing water-associated challenges is critical for urban watershed management. Low Impact Development (LID) practices have been proposed as a promising urban management methodology based on water storage and infiltration. Previous studies considered LID practices as a promising strategy that can control urban stormwater runoff and pollution in the urban ecosystem. With limited stormwater management funding, mathematical models became vital tools to better understand and control hydrological processes in LID; thus, encouraging a wider application of LID practices. As well, they can be useful for implementation of LID in more efficient approaches. Several research groups have developed LID modeling tools such as Storm Water Management Model (SWMM), System for Urban Stormwater Treatment and Analysis IntegratioN (SUSTAIN), and Western Washington Hydrologic Model (WWHM). EPA SWMM have used widely to simulate LID practices and SUSTAIN can analyze the cost-effectiveness regarding to LID. WWHM is developed for the long-term simulation of LID. These models can simulate the effect of LID applications on the hydrological cycle and water quality and have been widely used to evaluate the performance of LID in urban areas. In addition to analyzing the reduction effect by LID, these models can also generate optimal LID designs. However, these models still have limitation in terms of the soil water flow and water quality simulation by LID because they used simple equation for soil water flow and water quality simulation. Therefore, these model need to modify the model mechanism for enhancing the model. Key words: Low Impact Development, Urban, SWMM, SUSTAIN, WWHM

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Addressing water-associated challenges is critical for urban watershed management. Low Impact Development (LID) practices have been proposed as a promising urban management methodology based on water storage and infiltration. Previous studies considered LID practices as a promising strategy that can control urban stormwater runoff and pollution in the urban ecosystem. With limited stormwater management funding, mathematical models became vital tools to better understand and control hydrological processes in LID; thus, encouraging a wider application of LID practices. As well, they can be useful for implementation of LID in more efficient approaches. Several research groups have developed LID modeling tools such as Storm Water Management Model (SWMM), System for Urban Stormwater Treatment and Analysis IntegratioN (SUSTAIN), and Western Washington Hydrologic Model (WWHM). EPA SWMM have used widely to simulate LID practices and SUSTAIN can analyze the cost-effectiveness regarding to LID. WWHM is developed for the long-term simulation of LID. These models can simulate the effect of LID applications on the hydrological cycle and water quality and have been widely used to evaluate the performance of LID in urban areas. In addition to analyzing the reduction effect by LID, these models can also generate optimal LID designs. However, these models still have limitation in terms of the soil water flow and water quality simulation by LID because they used simple equation for soil water flow and water quality simulation. Therefore, these model need to modify the model mechanism for enhancing the model. Key words: Low Impact Development, Urban, SWMM, SUSTAIN, WWHM

Key concepts: Low-impact development, Storm Water Management Model, Stormwater, Surface runoff, Urban runoff, Environmental science, Water quality, Stormwater management

Related papers

Back to paper searchBrowse research topicsOriginal source
Low Impact Development Modeling: Literature Review and Suggestion for Future Work — Research Paper | ScholarLens