scholarly journals Analysis of Stormwater Runoff Reduction Effect Through Applying Low Impact Development Practices in a Flood Prone Area: Case of Incheon, South Korea

2019 ◽  
Vol 102 (null) ◽  
pp. 49-67
Author(s):  
LeeJinhee ◽  
Hyun Woo Kim
Keyword(s):  
South Korea ◽  
Low Impact Development ◽  
Stormwater Runoff ◽  
Runoff Reduction ◽  
Prone Area ◽  
Reduction Effect ◽  
Flood Prone Area

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 Modeling the Runoff Reduction Effect of Low Impact Development Installations in an Industrial Area, South Korea

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 967 ◽  
Author(s):  
Jungho Kim ◽  
Jungho Lee ◽  
Yangho Song ◽  
Heechan Han ◽  
Jingul Joo
Keyword(s):  
Low Impact Development ◽  
Industrial Area ◽  
Storm Water ◽  
Water Runoff ◽  
Rainfall Runoff ◽  
Future Design ◽  
Storm Water Runoff ◽  
Runoff Reduction ◽  
Rain Barrels ◽  
Reduction Effect

Low-impact development (LID) methods are an important approach to storm-water mitigation. Modeling the effects of these installations using rainfall-runoff simulations can provide useful data for future design and implementation. In this study, we used the Storm Water Management Model to assess seven types of LID installations (vegetated areas, garden pots, tree filter boxes, permeable pavement, infiltration ditches, rain barrels, and infiltration blocks) at a South Korean industrial site. Using both short- and long-term simulation periods and distinct sub-basins within the study site, we were able to assess LID performance at the combined watershed, as well as at one LID facility. All LID types showed reasonable performance for storm-water runoff reduction, though rain barrels were the least effective. The effect of rainfall runoff reduction on LID facilities is changed according to rainfall depth (annual precipitation, monthly rainfall), the ratio of drainage area and facility capacity. We concluded that SWMM-LID modeling can effectively support the management of LID installations by providing additional design and planning data to better mitigate the effects of storm-water runoff.

Large-Scale Application of Biofiltration Swale Runoff Management Practices

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
William C. Lucas
Keyword(s):  
Large Scale ◽  
Management Practices ◽  
Peak Flow ◽  
Low Impact Development ◽  
Urban Runoff ◽  
Management Model ◽  
Check Dams ◽  
Runoff Reduction ◽  
Impervious Area ◽  
Hydrologic Responses

Retaining rainfall where it lands is a fundamental benefit of Low Impact Development (LID). The Delaware Urban Runoff Management Model (DURMM) was developed to address the benefits of LID design. DURMM explicitly addresses the benefits of impervious area disconnection as well as swale flow routing that responds to flow retardance changes. Biofiltration swales are an effective LID BMP for treating urban runoff. By adding check dams, the detention storage provided can also reduce peak rates. This presentation explores how the DURMM runoff reduction approach can be integrated with detention routing procedures to project runoff volume and peak flow reductions provided by BMP facilities. This approach has been applied to a 1,200 unit project on 360 hectares located in Delaware, USA. Over 5 km of biofiltration swales have been designed, many of which have stone check dams placed every 30 to 35 meters to provide detention storage. The engineering involved in the design of such facilities uses hydrologic modeling based upon TR-20 routines, as adapted by the DURMM model. The hydraulic approach includes routing of flows through the check dams. This presentation summarizes the hydrological network, presents the hydrologic responses, along with selected hydrographs to demonstrate the potential of design approach.

Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam

2021 ◽  
Author(s):  
Chinh Luu ◽  
Quynh Duy Bui ◽  
Romulus Costache ◽  
Luan Thanh Nguyen ◽  
Thu Thuy Nguyen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Prone Area ◽  
Flood Prone Area

Understanding the factors influencing the removal of heavy metals in urban stormwater runoff

2016 ◽  
Vol 73 (12) ◽  
pp. 2921-2928 ◽  
Author(s):  
Marla C. Maniquiz-Redillas ◽  
Lee-Hyung Kim
Keyword(s):  
Heavy Metals ◽  
Fine Particles ◽  
Metal Removal ◽  
Low Impact Development ◽  
Heavy Metal Removal ◽  
Stormwater Runoff ◽  
Winter Season ◽  
Filter Media ◽  
Factors Influencing ◽  
Removal Of Heavy Metals

Abstract In this research, an infiltration trench equipped with an extensive pretreatment and filter bed consisting of woodchip, sand and gravel was utilized as a low impact development technique to manage stormwater runoff from a highly impervious road with particular emphasis on heavy metal removal. Findings revealed that the major factors influencing the removal of heavy metals were the concentration of the particulate matters and heavy metals in runoff, runoff volume and flow rates. The reduction of heavy metals was enhanced by sedimentation of particulates through pretreatment. Fine particles (<2 mm) had the most significant amount of heavy metals, thus, enhanced adsorption and filtration using various filter media were important design considerations. Sediment was most highly attached on the surface area of woodchip than to other filter media like sand, gravel and geotextile. It is suggested that maintenance must be performed after the end of the winter season wherein high sediment rate was observed to maintain the efficiency of the treatment system.

scholarly journals Factors that Influence Farmer’s Behavior Towards Risk

2021 ◽  
Vol 226 ◽  
pp. 00030
Author(s):  
Muhamad Nurdin Yusuf ◽  
Agus Yuniawan Isyanto ◽  
Sudradjat Sudradjat
Keyword(s):  
Logistic Regression ◽  
Paddy Fields ◽  
Price Risk ◽  
Land Area ◽  
Income Risk ◽  
Production Risk ◽  
Prone Area ◽  
Risk Takers ◽  
Paddy Farmers ◽  
Flood Prone Area

The research was carried out with the aim to find out the behavior of farmers towards risk and the factors that influence it. The research sample was 100 paddy farmers in flood-prone area paddy fields in Pangandaran District, West Java Province, Indonesia. Farmer’s behavior towards risk was analyzed using quadratic utility functions, while the factors that influence farmer’s behavior towards risk were analyzed using logistic regression. The results showed farmers 87 was risk neutral, while 13 farmer risk takers were farmers. Education, familys size and income significantly influence farmer’s behavior towards risk; while age, experience, land area, production risk, price risk, income risk and group did not significantly influence farmer’s behavior towards risk.

Effects of low impact development on the stormwater runoff and pollution control

2022 ◽  
Vol 805 ◽  
pp. 150404
Author(s):  
Gongduan Fan ◽  
Ruisheng Lin ◽  
Zhongqing Wei ◽  
Yougan Xiao ◽  
Haidong Shangguan ◽  
...  
Keyword(s):  
Pollution Control ◽  
Low Impact Development ◽  
Stormwater Runoff
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