Optimization of Low Impact Development Based on SWMM and Genetic Algorithm: Case Study in Tianjin, China

2021 ◽  
Author(s):  
Meng Xiao ◽  
Yu Li ◽  
Jinhui Jeanne Huang
Keyword(s):  
Genetic Algorithm ◽  
Low Impact Development ◽  
Control Effect ◽  
Point Source Pollution ◽  
Runoff Reduction ◽  
Hydrogeological Characteristics ◽  
Rainwater Runoff ◽  
Swmm Model

<p>Low impact development (LID) is an important measure to control the total amount of rainwater runoff from the source and solve the problem of non-point source pollution. However, there are many kinds of LID facilities, and the selection and layout of these facilities are restricted by the local physical and geographical conditions, hydrogeological characteristics, water resources, rainfall patterns and other factors. Therefore, the selection of LID facilities and the determination of optimization scheme are the main challenges for the construction of LID rainwater system. In this study, SWMM model and genetic algorithm (GA) are used to optimize the layout of LID. The multiple objectives include runoff reduction, occupied area and lifecycle cost. The results show that the combined LID facility scheme has obvious control effect on runoff reduction in the 10-year rainfall process.</p>

Study on the Runoff Characteristics of Non-point Source Pollution in Municipal Area Using SWMM Model -A Case Study in Jeonju City

2005 ◽  
Vol 14 (12) ◽  
pp. 1185-1194 ◽  
Author(s):  
Do-Hyson Paik ◽  
Young-Hwan Lim ◽  
Jin-Kyu Choi ◽  
Paul-Gene Jung ◽  
Dong-Heui Kwak
Keyword(s):  
Point Source ◽  
Point Source Pollution ◽  
Swmm Model ◽  
Non Point Source Pollution

Customers satisfaction by fuzzy synthetic evaluation and genetic algorithm (case study)

2019 ◽  
Vol 14 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Hamid Nayebpour ◽  
Mohsen Nazem Bokaei
Keyword(s):  
Genetic Algorithm ◽  
Expert Knowledge ◽  
Fuzzy Synthetic Evaluation ◽  
Content Type ◽  
Research Findings ◽  
A New Technique ◽  
Satisfaction Evaluation ◽  
Synthetic Evaluation

Purpose The purpose of this paper is to present a new technique for the determination of effective criteria weight on satisfaction using genetic algorithm and fuzzy synthetic evaluation. Design/methodology/approach The weight values express the relative importance of criteria. In most of research works, weight values depend heavily on expert knowledge, and customer’s perspective have not been considered. The proposed approach determines the criteria weight on satisfaction using genetic algorithm and fuzzy synthetic evaluation considering Euclidean distance between the computed overall satisfaction evaluation and the surveyed overall satisfaction evaluation. Findings The research findings show that different segments of customer have various needs and explain causes of various needs in customers using genetic algorithm and fuzzy synthetic evaluation. Originality/value The value of the paper is in it using a new approach in order to determine the weight of criteria. The main advantage of proposed approach is that it will help managers and researchers to determine the weight of criteria on satisfaction, and this process will no longer just rely on expert knowledge.

scholarly journals Development of a new low impact development planning tool

2021 ◽  
Author(s):  
Zhi Zheng
Keyword(s):  
Suspended Solids ◽  
Low Impact Development ◽  
Development Planning ◽  
Phosphorus Loading ◽  
Planning Tool ◽  
Single Family ◽  
Solids Loading ◽  
Runoff Reduction ◽  
Few Data

The purpose of this research is to develop a new planning tool to evaluate the efficiency of Low Impact Development (LID) for single-family homes in Ontario. A comprehensive literature review was conducted to compare major LID planning tool available for public to identify the key features of an ideal LID planning tool. A study across four regions in Ontario was conducted to obtain rainfall, soil, and housing-types data. U.S. EPA Stormwater Management Model (SWMM) was selected to perform all the simulation for establishing a common database for the new tool. With the new tool, users can estimate the runoff reduction, total suspended solids loading reduction, total phosphorus loading reduction and total cost by several clicks and few data inputs. The case study of Bayview Wellington Center in Town of Aurora illustrated that the new tool achieved required accuracy level.

scholarly journals Determination of the Most Important Parameters Affecting the Urban Runoff using SWMM Model (Case Study: Mashhad City, District 9)

2019 ◽  
Vol 9 (18) ◽  
pp. 135-145
Author(s):  
fatemeh rezayi ◽  
Abdolreza Bahremand ◽  
Vahed Berdi sheikh ◽  
MohammadTaghii dastorani ◽  
Mohammad tajbakhsh ◽  
...  
Keyword(s):  
Urban Runoff ◽  
Model Case ◽  
City District ◽  
Mashhad City ◽  
Swmm Model

scholarly journals Development of a new low impact development planning tool

2021 ◽  
Author(s):  
Zhi Zheng
Keyword(s):  
Suspended Solids ◽  
Low Impact Development ◽  
Development Planning ◽  
Phosphorus Loading ◽  
Planning Tool ◽  
Single Family ◽  
Solids Loading ◽  
Runoff Reduction ◽  
Few Data

The purpose of this research is to develop a new planning tool to evaluate the efficiency of Low Impact Development (LID) for single-family homes in Ontario. A comprehensive literature review was conducted to compare major LID planning tool available for public to identify the key features of an ideal LID planning tool. A study across four regions in Ontario was conducted to obtain rainfall, soil, and housing-types data. U.S. EPA Stormwater Management Model (SWMM) was selected to perform all the simulation for establishing a common database for the new tool. With the new tool, users can estimate the runoff reduction, total suspended solids loading reduction, total phosphorus loading reduction and total cost by several clicks and few data inputs. The case study of Bayview Wellington Center in Town of Aurora illustrated that the new tool achieved required accuracy level.

A novel method for the determination of linting propensity of paper

TAPPI Journal ◽  
2012 ◽  
Vol 11 (10) ◽  
pp. 9-17
Author(s):  
ALESSANDRA GERLI ◽  
LEENDERT C. EIGENBROOD
Keyword(s):  
Ash Content ◽  
The Novel ◽  
Offset Printing ◽  
Excellent Correlation ◽  
End Conditions ◽  
Bottom Side ◽  
Novel Method ◽  
Total Fraction

A novel method was developed for the determination of linting propensity of paper based on printing with an IGT printability tester and image analysis of the printed strips. On average, the total fraction of the surface removed as lint during printing is 0.01%-0.1%. This value is lower than those reported in most laboratory printing tests, and more representative of commercial offset printing applications. Newsprint paper produced on a roll/blade former machine was evaluated for linting propensity using the novel method and also printed on a commercial coldset offset press. Laboratory and commercial printing results matched well, showing that linting was higher for the bottom side of paper than for the top side, and that linting could be reduced on both sides by application of a dry-strength additive. In a second case study, varying wet-end conditions were used on a hybrid former machine to produce four paper reels, with the goal of matching the low linting propensity of the paper produced on a machine with gap former configuration. We found that the retention program, by improving fiber fines retention, substantially reduced the linting propensity of the paper produced on the hybrid former machine. The papers were also printed on a commercial coldset offset press. An excellent correlation was found between the total lint area removed from the bottom side of the paper samples during laboratory printing and lint collected on halftone areas of the first upper printing unit after 45000 copies. Finally, the method was applied to determine the linting propensity of highly filled supercalendered paper produced on a hybrid former machine. In this case, the linting propensity of the bottom side of paper correlated with its ash content.

FIDDLE. Simultaneous Indexing and Structure Solution from Powder Diffraction Data using a Genetic Algorithm and Correlation Functions

2019 ◽  
Author(s):  
Carmen Guguta ◽  
Jan M.M. Smits ◽  
Rene de Gelder
Keyword(s):  
Genetic Algorithm ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Correlation Functions ◽  
Cross Correlation ◽  
Simultaneous Optimization ◽  
Powder Diffraction Data ◽  
Structure Solution ◽  
Matching Technique

A method for the determination of crystal structures from powder diffraction data is presented that circumvents the difficulties associated with separate indexing. For the simultaneous optimization of the parameters that describe a crystal structure a genetic algorithm is used together with a pattern matching technique based on auto and cross correlation functions.<br>

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