In recent years, plenty of simulation research about the low impact development(LID) control effect has emerged, but studies on scheme comparison and evaluation are lacking. In this study, a comprehensive benefit evaluation system for LID, including environmental, economic, and social benefits, was established on the basis of Analytic Hierarchy Process(AHP) and urban storm water model. Above all, benefit identification, quantitative evaluation and scheme comparison of single LID measures were obtained according to site investigation, simulated calculation and theoretical analysis. Whereafter, LID combination plans were designed based on single LID measures with high comprehensive benefit values, and their comprehensive benefits were evaluated to obtain the optimal plan. Then, based on well-founded system combined with Storm Water Management Model (SWMM), the design and optimization of LID were conducted, with a case in Xi’an, China. It turned out that the preferential order of the LID single measures according to the comprehensive benefit was: bio-retention > rain barrels > low-elevation greenbelt > green roofs > permeable pavement. Five LID combination plans were designed based on bio-retention, rain barrels, low-elevation greenbelt, and green roofs. Evaluation results showed that plan I (bio-retention and green roofs) was the optimal LID combination plan.
LID Comprehensive benefit Analytic hierarchy process SWMM
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This research was financially supported by the Natural Science Foundation of Shaanxi Province (Grant No. 2015JZ013), the National Natural Science Foundation of China (Grant No. 51279158), and Program for Key Science and Technology Innovation Team in Shaanxi Province (Grant No. 2014KCT-27).
Aryal SK, Ashbolt S, Mcintosh BS, Petrone KP, Maheepala S, Chowdhury RK, Gardener T, Gardiner R (2016) Assessing and mitigating the hydrological impacts of urbanisation in semi-urban catchments using the storm water management model. Water Resour Manag 30(14):1–18CrossRefGoogle Scholar
Baek SS, Choi DH, Jung JW, Lee HJ, Lee H, Yoon KS, Cho KH (2015) Optimizing low impact development (LID) for stormwater runoff treatment in urban area, korea: experimental and modeling approach. Water Res 86:122–131CrossRefGoogle Scholar
Calabrese A, Costa R, Levialdi N, Menichini T (2016) A fuzzy analytic hierarchy process method to support materiality assessment in sustainability reporting. J Clean Prod 121:248–264CrossRefGoogle Scholar
Chui TFM, Liu X, Zhan WT (2016) Assessing cost-effectiveness of specific LID practice designs in response to large storm events. J Hydrol 533:353–364CrossRefGoogle Scholar
Cipolla SS, Maglionico M, Stojkov I (2016) A long-term hydrological modelling of an extensive green roof by means of SWMM. Ecol Eng 95:876–887CrossRefGoogle Scholar
Davis AP, Traver RG, Hunt WF, Lee R, Brown RA, Olszewski JM (2012) Hydrologic performance of bio-retention storm-water control measures. J Hydrol Eng 17(5):604–614CrossRefGoogle Scholar
Duan HF, Li F, Yan HX (2016) Multi-objective optimal Design of Detention Tanks in the urban Stormwater drainage system: LID implementation and analysis. Water Resour Manag 30(13):4635–4648CrossRefGoogle Scholar
Ghodsi SH, Kerachian R, Zahmatkesh Z (2016) A multi-stakeholder framework for urban runoff quality management: application of social choice and bargaining techniques. Sci Total Environ 550:574–585CrossRefGoogle Scholar
Gironás J, Roesner LA, Rossman LA, Davis J (2010) A new applications manual for the storm water management model (SWMM). Environ Model Softw 25(6):813–814CrossRefGoogle Scholar
Jia HF, Yao HR, Tang Y, Yu SL, Field R, Tafuri AN (2015) LID-BMPs planning for urban runoff control and the case study in China. J Environ Manag 149:65–76CrossRefGoogle Scholar
Katherine A, Franco M, Alisha G (2010) Observed and modeled performances of prototype GreenRoof test plots subjected to simulated low-and high-intensity precipitations in a laboratory experiment. J Hydrol Eng 15(6):448–461Google Scholar
Li JK, Li Y, Li YJ (2016) SWMM-based evaluation of the effect of rain gardens on urbanized areas. Environ Earth Sci 75(1):1–14CrossRefGoogle Scholar
Liu YZ, Cibin R, Bralts VF, Chaubey I, Bowling LC, Enge BA (2016) Optimal selection and placement of BMPs and LID practices with a rainfall-runoff model. Environ Model Softw 80:281–296CrossRefGoogle Scholar
Qin HP, Li ZX, Fu G (2013) The effects of low impact development on urban flooding under different rainfall characteristics. J Environ Manag 129C(18):577–585CrossRefGoogle Scholar
Villarreal EL, Annette SD (2004) Inner City Stormwater control using a combination of best management practices. Ecol Eng 22(4):279–298CrossRefGoogle Scholar
Winston RJ, Dorsey JD, Hunt WF (2016) Quantifying volume reduction and peak flow mitigation for three bioretention cells in clay soils in northeast Ohio. Sci Total Environ 553:83–95CrossRefGoogle Scholar