Temporal dimension and water quality control in an emission trading scheme based on water environmental functional zone

doi:10.1007/s11783-011-0272-z

Front Envir Sci Eng Chin

2011, Vol. 5

Issue (1) : 119-129 https://doi.org/10.1007/s11783-011-0272-z

RESEARCH ARTICLE

Temporal dimension and water quality control in an emission trading scheme based on water environmental functional zone

Zhaoxing HAN, Zhenyao SHEN(

), Yongwei GONG, Qian HONG

School of Environment, Beijing Normal University, Beijing 100875, China

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Abstract

Emission trading is one of the most effective alternatives to controlling water pollution. Water environmental functional zone (WEFZ) is used to determine the water quality standard and identify the zone boundary for each river or reach. In this study, a new emission trading scheme was addressed based on WEFZ, accounting for both the temporal dimension and water quality control. A temporal factor of emission trading was proposed based on variations in the environmental capacity within a year by dividing the year into three periods, including high, normal, and low periods of environmental capacity. During each period, emission trading was implemented exclusively. A water quality-control scheme was suggested based on the water quality requirement in the water functional zone, in which the water quality at the downstream boundary of the zone was required to meet the water standard following auto-purification in the stream. Two methods of calculating water quality control are addressed for point-source pollution and non-point-source pollution. The calculated temporal dimension and water quality control were located in Dongxi River of the Daning Watershed in the Three Gorges Watershed. The high period was during June, July, and August, the normal period was during April, May, September, and October, and the low period was during January, February, March, November, and December. The results from the water quality calculation demonstrated that the discharge of point-source and non-point-source pollutions led to an excess of common contaminants at the downstream boundary of WEFZ. The temporal and spatial factors above should be incorporated into the emission trading scheme based on WEFZ.

Keywords emission trading water functional zone water quality control

Corresponding Author(s): SHEN Zhenyao,Email:zyshen@bnu.edu.cn

Issue Date: 05 March 2011

Cite this article:

Qian HONG,Zhenyao SHEN,Yongwei GONG, et al. Temporal dimension and water quality control in an emission trading scheme based on water environmental functional zone[J]. Front Envir Sci Eng Chin, 2011, 5(1): 119-129.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-011-0272-z
https://academic.hep.com.cn/fese/EN/Y2011/V5/I1/119

Fig.1 Location of the Daning Watershed

Fig.2 Land use in Daning Watershed Wuxi part

Fig.3 Flow chart of calculation of spatial effects of point-source dischargers

Fig.4 Abatement function of the non-point-source pollution in reach

Fig.5 Calibration results in Ningqiao station within 2004. Its and are 0.95 and 0.92, respectively

Fig.6 Calibration results in Ningchang station from 2004 to 2007. Its and are 0.77 and 0.68, respectively

Fig.7 Calibration results in Wuxi station from 2004 to 2007. Its and are 0.79 and 0.66, respectively

Fig.8 Validation results in Ningqiao station from 2000 to 2003. Its and are 0.96 and 0.94, respectively

Fig.9 Validation results in Ningchang station from 2000 to 2003. Its and are 0.94 and 0.93, respectively

Fig.10 Validation results in Wuxi station from 2000 to 2003. Its and are 0.95 and 0.89, respectively

Fig.11 Daily environmental capacity of Dongxi River from 2000 to 2007

Fig.12 10-day environmental capacity of Dongxi River from 2000 to 2007

Fig.13 Monthly environmental capacity of Dongxi River from 2000 to 2007

Fig.14 Environmental capacity of Dongxi River from 2000 to 2007

Fig.15 Monthly average environmental capacity of Dongxi River during 2000 and 2007

Tab.1 Xujia and Bailu towns’ , , and results in low, normal, and high periods

Tab.2 Point-source and gross non-point-source pollution discharge load and non-point-source pollution discharge load in each reach in Dongxi River in low, normal, and high periods

Tab.3 Point-source and non-point-source pollutions’ spatial effects

Fig.16 Monthly average rainfall during 1957 to 2007 (Wuxi hydrological station)

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