基于SD的污水处理厂减排潜力与费用效益——以昆明市为例

李晴, 董慧, 曾维华, 王慧慧, 曹若馨

中国环境科学 ›› 2020, Vol. 40 ›› Issue (11) : 5071-5078.

PDF(563 KB)
PDF(563 KB)
中国环境科学 ›› 2020, Vol. 40 ›› Issue (11) : 5071-5078.
环境影响评价与管理

基于SD的污水处理厂减排潜力与费用效益——以昆明市为例

  • 李晴1, 董慧2, 曾维华1, 王慧慧1, 曹若馨1
作者信息 +

Emissions reduction potential and cost-benefit of sewage treatment plant based on SD: a case study of Kunming City

  • LI Qing1, DONG Hui2, ZENG Wei-hua1, WANG Hui-hui1, CAO Ruo-xin1
Author information +
文章历史 +

摘要

针对当前城市污水处理厂进水浓度偏低,进而影响其污水处理潜力发挥和经济效益等问题,以昆明市为例,构建了基于系统动力学的城市排水系统模拟仿真模型.依据昆明市“十三五”规划目标,以2015年为基准年,设计4种减排情景,模拟预测了不同时期下不同情景的污水处理厂减排潜力及费用效益.结果表明:城市排水管网改造与强化管理对提高污水处理厂运行效率,充分挖掘其污水处理潜力至关重要,该情景近期与远期污水处理厂COD削减量较基准情景分别提高了314772,389126t;NH3-N削减量较基准情景分别提高24223,27234t;费效比较基准情景分别降低0.2和0.17,污水处理潜力得到充分挖掘,经济效益明显改善.

Abstract

In view of the low concentration of influent water, which affects the emissions reduction potential and economic benefit of sewage treatment plant, taking Kunming as an example, a simulation model of urban drainage system based on system dynamics was set up. According to the targets of the 13th Five-Year Plan of Kunming, this paper designed four emissions reduction scenarios based on 2015 as the base year, and then simulated and predicted the emissions reduction potential and cost and benefit of sewage treatment plants under different scenarios in different periods. The urban drainage network reconstruction and strengthening management was very important to improve the efficiency of sewage treatment plant and fully tap the potential of pollutant treatment. Compared with the benchmark scenario, the reduction of COD in the short-term and long-term increased by 314772t and 389126t, respectively; the reduction of NH3-N in the short-term and long-term increased by 24223t and 27234t, respectively; the cost-benefit ratio of the sewage treatment plant in the short-term and long-term reduced by 0.2 and 0.17, respectively. Emissions reduction potential was fully tapped and the economic benefit is obviously improved.

关键词

城市排水管网 / 费效分析 / 减排潜力 / 污水处理厂 / 系统动力学

Key words

cost-benefit analysis / emissions reduction potential / sewage treatment plant / system dynamics / urban drainage network

引用本文

导出引用
李晴, 董慧, 曾维华, 王慧慧, 曹若馨. 基于SD的污水处理厂减排潜力与费用效益——以昆明市为例[J]. 中国环境科学. 2020, 40(11): 5071-5078
LI Qing, DONG Hui, ZENG Wei-hua, WANG Hui-hui, CAO Ruo-xin. Emissions reduction potential and cost-benefit of sewage treatment plant based on SD: a case study of Kunming City[J]. China Environmental Science. 2020, 40(11): 5071-5078
中图分类号: X32   

参考文献

[1] 李博洋,顾成奎,罗晓丽,等."水十条"实施背景下工业绿色转型发展的路径探讨[J]. 环境保护, 2015,43(9):28-31. Li B Y, Gu C K, Luo X L, et al. Discussion on how to develop the green industry under the background of the implementation of action plan for prevention and control of water pollution[J]. Environmental Protection, 2015,43(9):28-31.
[2] 郑毅.水十条对治理水污染的重要作用分析[J]. 资源节约与环保, 2016,(8):154-154. Zheng Y. Analysis of the important effect of action plan for prevention and control of water pollution on water pollution control[J]. Resources Economization & Environmental Protection, 2016,(8):154-154.
[3] 石效卷.落实"水十条"全力推动水环境管理战略转型[J]. 环境影响评价, 2016,38(2):32-35. Shi X J. Implement action plan for water pollution control to promote strategic transformation of water environment management[J]. Environmental Impact Assessment, 2016,38(2):32-35.
[4] 陈鸣剑,叶禄,阮晓红,等.城市污水处理厂费用函数的探讨[J]. 河海大学学报, 1992,(2):120-125. Chen M J, Ye L, Ruan X H, Shen G P. Discussion on the cost function of urban sewage treatment plant[J]. Journal of Hohai University, 1992,(2):120-125.
[5] 王蕾.水污染控制费用效益函数构建及应用[D]. 沈阳:辽宁大学, 2014. Wang L. The establish of water pollution control cost benefit function[D]. Shenyang:Liaoning University, 2014.
[6] 宿华.松花江流域污水处理费用函数的研究[J]. 东北水利水电, 1990,(3):42-47. Su H. Study on the cost function of sewage treatment in Songhua River Basin[J]. Water Resources & Hydropower of Northeast China, 1990,(3):42-47.
[7] 王秀英,王晓燕.西安市水污染物削减费用函数研究[J]. 环境污染与防治, 2013,35(7):36-39,45. Wang X Y, Wang X Y. Study on cost function of water pollutant abatement in Xi'an[J]. Environmental Pollution & Control, 2013, 35(7):36-39,45.
[8] 毛显强,邢有凯,胡涛,等.中国电力行业硫、氮、碳协同减排的环境经济路径分析[J]. 中国环境科学, 2012,32(4):748-756. Mao X Q, Xing Y K, Hu T, et al. An environmental-economic analysis of carbon, sulfur and nitrogen co-reduction path for China's power industry[J]. China Environmental Science, 2012,32(4):748-756.
[9] 刘贞,蒲刚清,施於人,等.钢铁行业碳减排情景仿真分析及评价研究[J]. 中国人口·资源与环境, 2012,22(3):77-81. Liu Z, Pu G Q, Shi Y R, et al. Simulation analysis and evaluation on carbon reduction scenarios in steel industry[J]. China Population, Resources and Environment, 2012,22(3):77-81.
[10] 顾阿伦,史宵鸣,汪澜,等.中国水泥行业节能减排的潜力与成本分析[J]. 中国人口·资源与环境, 2012,22(8):16-21. Gu A L, Shi X M, Wang L, et al. The potential and cost analysis of energy saving and emission reduction in China dement sector[J]. China Population, Resources and Environment, 2012,22(8):16-21.
[11] 马俊花,李迎霞,杨志峰,等.制浆造纸业各工段节水减排技术研究[J]. 环境污染与防治, 2010,32(10):87-90. Ma J H, Li Y X, Yang Z F, et al. Study on water-saving and wastewater-reducing technologies in each stage of the pulp and paper mills[J]. Environmental Pollution & Control, 2010,32(10):87-90.
[12] 于璐,吴晓青,都晓岩,等.山东省工业废水中石油类污染物排放特征及减排潜力分析[J]. 环境污染与防治, 2015,37(7):105-110. Yu L, Wu X Q, Du X Y, et al. Analysis on discharge characteristics of oil pollutant from industrial wastewater and emission reduction potential in Shandong Province[J]. Environmental Pollution & Control, 2015,37(7):105-110.
[13] 周迪,吴泽文.中国工业碳减排潜力与路径研究[J]. 中国环境科学, 2019,39(3):1306-1314. Zhou D, Wu Z W. Potentialities and paths of Chinese industrial carbon emission reduction[J]. China Environmental Science, 2019,39(3):1306-1314.
[14] 杨思涵,佟孟华,刘睿婕,等.异质性工业企业碳减排状态与路径的比较[J]. 中国环境科学, 2019,39(6):2678-2688. Yang S H, Tong M H, Liu R J, Xing B K. Comparison on status and paths of carbon emission reduction of industrial enterprises with heterogeneity[J]. China Environmental Science, 2019,39(6):2678-2688.
[15] 荣绍辉,王莉,刘春晓.系统动力学在水污染控制系统中的应用研究[J]. 生态经济, 2012,(4):30-34. Rong S H, Wang L, Liu C X. Application research of the system dynamics method on water pollution system in Xuchang City[J]. Ecological Economy, 2012,(4):30-34.
[16] 郭怀成.系统动力学在城市水污染控制规划中的应用[J]. 环境科学丛刊, 1989,(3):13-22. Guo H C. System dynamics in urban water pollution control planning[J]. Environmental Science Series, 1989,(3):13-22.
[17] 陈雪,刘光有.系统动力学在阿什河流域水污染控制规划中的应用[J]. 环境科学与管理, 2010,35(5):73-76. Chen X, Liu G Y. System dynamics in the Ash River Basin water pollution control planning[J]. Environmental Science and Management, 2010,35(5):73-76.
[18] Zhang S H, Li Y Q, Zhang T X, et al. An integrated environmental decision support system for water pollution control based on TMDL-A case study in the Beiyun River watershed[J]. Journal of Environmental Management, 2015:156.
[19] Han T F, Zhang C T, Sun Y, et al. Study on environment-economy-society relationship model of Liaohe River Basin based on multi-agent simulation[J]. Ecological Modelling, 2017:359.
[20] GB18918-2002城镇污水处理厂污染物排放标准[S]. GB18918-2002 Urban sewage treatment plant pollutant discharge standard[S].
[21] 徐祖信,汪玲玲,尹海龙,等.基于特征因子的排水管网地下水入渗分析方法[J]. 同济大学学报(自然科学版), 2016,44(4):593-599. Xu Z X, Wang L L, Yin H L, et al. Quantification of groundwater infiltration into urban drainage networks based on marker species approach[J]. Journal of Tongji University(Natural Science), 2016, 44(4):593-599.
[22] 程静,龚琼,杨晓华.基于STELLA的水资源供需系统模拟和预警分析——以山东省为例[J]. 水资源与水工程学报, 2016,27(5):75-81,86. Cheng J, Gong Q, Yang X H. Simulation and warning analysis of supply and demand system of water resources based on STELLA:A case study of Shandong Province[J]. Journal of Water Resources and Water Engineering, 2016,27(5):75-81,86.
[23] 宋瑾霞,杨辉平.昆明统计年鉴[M]. 北京:中国统计出版社, 2013-2017. Song J X, Yang H P. Kun Ming statistical yearbook[M]. Beijing:China Statistics Press, 2013-2017.
[24] 李赪.云南统计年鉴[M]. 北京:中国统计出版社, 2013-2017. Li C. Yun Nan statistical yearbook[M]. Beijing:China Statistics Press, 2013-2017.
[25] 云南省农业厅.第一次全国污染源普查云南省农业污染源普查报告[R]. 北京:中国农业出版社, 2014. Yunnan agricultural and rural Hall. Report of the first national survey of pollution sources in Yunnan Province[R]. Beijing:China Agriculture Press, 2014.
[26] 昆明市环保局.昆明市环境状况公报[R]. 昆明:昆明市环境保护局, 2013-2017. Kunming municipal environmental protection Bureau. Kunming environmental statement[R]. Kunming:Kunming municipal environmental protection Bureau, 2013-2017.
[27] 昆明市规划局.昆明市海绵城市建设专项规划[R]. 昆明:昆明市人民政府, 2016. Kunming municipal planning Bureau. Subject planning of sponge city construction in Kunming[R]. Kunming:Kunming municipal people's Government, 2016.
[28] 昆明市规划局.昆明市环境保护与生态建设"十三五"规划[R]. 昆明:昆明市人民政府, 2017. Kunming municipal planning Bureau. The 13th five year plan of environmental protection and ecological construction in Kunming[R]. Kunming:Kunming municipal people's Government, 2017.
[29] 昆明市规划局.滇池流域水污染防治规划[R]. 昆明:昆明市人民政府, 2016. Kunming municipal planning Bureau. Water pollution control planning of Dianchi Lake Basin[R]. Kunming:Kunming municipal people's Government, 2016.
[30] 张家瑞.基于多主体的滇池流域水污染防治环境经济政策智能仿真[D]. 北京:北京师范大学, 2016. Zhang J R. Intelligent simulation on the environmental economic policies of water pollution prevention and control in Dianchi Basin by the multi-agent based model[D]. Beijing:Beijing Normal University, 2016.
[31] 张家瑞,王慧慧,曾维华.基于ABM+SD耦合模型的滇池流域水价政策仿真[J]. 中国环境科学, 2017,(10):3991-4000. Zhang J R, Wang H H, Zeng W H. Simulation of water price policy coupled ABM and SD models in Dianchi Lake Basin[J]. China Environmental Science, 2017,(10):3991-4000.
[32] GB3838-2002地表水环境质量标准[S]. GB3838-2002 Environmental quality standards for surface water[S].

基金

国家水体污染控制与治理科技重大专项(2018ZX07111003);国家水体污染控制与治理科技重大专项(2012ZX07102-002-05)


PDF(563 KB)

Accesses

Citation

Detail

段落导航
相关文章

/