Journal Home Online First Current Issue Archive For Authors Journal Information 中文版

Strategic Study of CAE >> 2013, Volume 15, Issue 3

The evaluation of best available technology for pollution control and analysis of the potential for pollution abatement in the EMM industry

Cleaner Production Center of Environment Protection, Chinese Research Academy of Environmental Sciences, Beijing 100012, China

Funding project:国家水体污染控制与治理科技重大专项(2009ZX07529-005) Received: 2012-12-17 Available online: 2013-03-15 14:18:31.000

Next Previous

Abstract

Electrolytic manganese (EMM) industry with a large amount of waste water and high density of pollution, belonging to the high polluting industries, is one of the main threats of pollution control and emission reduction. Based on the analysis of the pollution prevention status of EMM industry, index system for pollution prevention technological evaluation was built. This paper obtained weight and quantifying value of each index with analytic hierarchy process (AHP), and evaluated the technology of pollution prevention using comprehensive index. On this basis, prediction of pollution reduction potential of best available technologies (BATs) was made using bottom-up model. The result showed the total emissions of waste water would be reduced more than 2.7×106 t, the reduction of ammonia nitrogen emission could be 6.6×104 t, recovered manganese and potassium bichromate could be 1.9×105 t and 3.747×107 t respectively, the reduction of manganese slag emission could be 4×106 t in 2015, comparing to the baseline year 2010. It also proved that clean production technology was superior to end treatment, and clean production technology would be widely used.

Figures

图1

图2

图3

References

[ 1 ] 温宗国. 污染防治最佳可行技术选择与环境管理方法:以煤制 甲醇为例[C]// 姜艳萍. 2012年中国环境科学学会学术年会论 文集(第一卷). 北京:中国农业大学出版社,2012:513-520.

[ 2 ] 李旭华,于秀玲,但智钢,等. 电解锰行业实施污染防治最佳 可行技术的必要性和建议[J]. 环境工程技术学报,2012,2(4): 349-353. link1

[ 3 ] 钟 琼. 电解锰生产废水处理技术研究[D]. 湖南:湖南大学, 2006.

[ 4 ] 段 宁,但智钢,宋丹娜. 中国电解锰行业清洁生产技术发展 现状和方向[J]. 环境工程技术学报,2011,1(1):75-81. link1

[ 5 ] Germán Giner-Santonja,Pablo Aragonės-Beltrán,Joaquĺn NiclósFerragut. The application of the analytic network process to the assessment of best available techniques [J]. Journal of Cleaner Production,2012,25:86-95. link1

[ 6 ] 谭柱中. 发展中的中国电解金属锰工业[J]. 中国锰业,2003,21(4):1-5. link1

[ 7 ] 王运敏. 中国的锰矿资源和电解金属锰的发展[J]. 中国锰业, 2004,22(3):26-30. link1

[ 8 ] Manganese Metal Company(MMC). Company profile and product information,Nelspruit 1200,South Africa 2008 [EB/OL]. [2012-11-29]. http://www.mmc.co.za. link1

[ 9 ] 庞振凌,常红军,李玉英,等. 层次分析法对南水北调中线水 源区的水质评价[J]. 生态学报,2008,28(4):1810-1819. link1

[10] 环境保护部. 污染防治最佳可行技术指南编制导则[EB/OL]. [2012-11-29]. http://www.doc88.com/p-438725568517.html. link1

[11] 王 兵,孙启宏,扈学文,等. 铅冶炼污染防治最佳可行技术 筛选研究[J]. 环境工程技术学报,2011,1(6):526-532. link1

[12] 杨丽阎,于宏兵,王启山. VC行业清洁生产最佳可行技术研 究[J]. 环境保护与循环经济,2012(8):35-39. link1

[13] Marta Bottero,Elena Comino,Vincenzo Riggio. Appication of the analytic hierarchy process and the analytic network Process for the assessment of different wastewater treatment systems [J]. Environmental Modelling & Software,2011,26(10): 1211-1224. link1

[14] 汪启年,王 璠,徐东耀. 电解锰废水减量化清洁生产对策初 探[J]. 中国锰业,2012,29(3):6-9. link1

[15] 汪启年,王 璠,刘 斌,等. 我国电解锰行业氨氮污染分析 与控制[J]. 环境工程,2012,30(3):121-123. link1

[16] 白 轩,胡筱敏,王艳秋,等. 晚期垃圾渗滤液短程硝化氮平 衡的研究[J]. 环境工程,2011,29(5):41-44. link1

[17] 钱 易,唐孝炎. 环境保护与可持续发展[M]. 北京:高等教育 出版社,2011.

[18] 郑 猛,张培玉,王积伟,等. 废水生物脱氮机制研究进展 [J]. 环境工程,2011,29(SI):17-20. link1

[19] 陈慧中,杨 宏. 给水系统中藻类研究现状及进展[J]. 现代预 防医学,2001,28(SI):79-80. link1

[20] Du Bin,Wen Zongguo,Li Gao,et al. Key technology choices for industrial water conservation in China based on an IWCPA model [J]. Acta Scientiae Circumstantiae,2007,27(10):1-8.

[21] 张 超. 工业COD减排的技术选择模型开发及应用研究[D]. 北京:清华大学,2007.

[22] 张 超,温宗国. 中国造纸行业 COD 减排技术的预测[J]. 清 华大学学报:自然科学版,2008,48(12):2083-2087. link1

[23] Christoph Böhringer,Thomas F Rutherford. Combinging bottom- up and top- down [J]. Energy Economics,2008,30(2): 574-596.

[24] Rose Murphy,Mark Jaccard. Energy efficiency and the cost of GHG abatement:A comparison of bottom-up and hybrid models for the US [J]. Energy Policy,2011,39(11):7146-7155. link1

Related Research