Empirical Study on the Performance Evaluation of the Black Color and Odor Urban Rivers Treatment Projects

Article Preview

Abstract:

Integrated with the project performance research development in the world, this article structures a performance evaluation system which accords with the urban rivers pollution characteristics and the treatment project performance in the south city of China. With an empirical study on the treatment project of the Panlongjiang River in Nanba Village of Kunming City, this article evaluates the treatment projects from the aspects of social economic profit, ecological benefit and the social benefit for people’s livelihood. The evaluation result shows that the treatment project on the part of Panlongjiang River in Nanba Village of Kunming City works effectively. The investment and income, the benefit of projects and the river environmental quality belong to the level of very efficient. The pollution emission reduction benefit, the ecological quality of riparian zone landscape, aquatic environment condition, and the development of basic establishment belong to the level of efficient. The environmental protection and management performance belongs to the level of ordinary. The practice demonstrates that this evaluation index system has certain serviceability and can reflect the process and the real achievements of treatment projects of black color and odor urban rivers.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

2104-2108

Citation:

Online since:

May 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J D Stevens, T J Kloppenborg, C R Glangola. Quality performance measurement of the EPC.1994.

Google Scholar

[2] J S Russell,, E J Jaselskis , S P Lawrence , H P Tserng and M T Prestine.Research Report 107-12, The Construction Industry Institute, Univ. of Texas at Austin, Austin, TX.1996.

Google Scholar

[3] Yongjun Hua. Economic Forum, 2004, vol.5, pp.15-16, in Chinese.

Google Scholar

[4] Zhulin Zhang. Business Accounting, 2006, vol.8, pp.15-17, in Chinese.

Google Scholar

[5] Yinhuai Chang.Chinese Auditing, 2005, vol.23,pp.39-40, in Chinese.

Google Scholar

[6] Xiaoping Zhao. Southwest University of Finance and Economics, 2007, pp.31-53, in Chinese.

Google Scholar

[7] Shubai Xu. The Principle of AHP.Tianjin: Tianjin University Press,1988, in Chinese.

Google Scholar

[8] Yunheng Chen, Yanmei Zhang. Statistics Shanxi, 1995,vol.7,pp.29-33, in Chinese.

Google Scholar

[9] T L Saaty. The analytic hierarchy process.Mc Graw Hill, Inc. 1980, in Chinese.

Google Scholar

[10] Lixin Jiao. Journal of Anhui Agro technical Teachers College, 1999,vol.3,pp.7-10, in Chinese.

Google Scholar

[11] Jianwei Han. Data Exploration: Concepts and Technology (English Edition: Second Edition). Machinery Industry Press, 2006, in Chinese.

Google Scholar