珠江流域船舶污染滞留时间研究
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摘要
船舶污染物对珠江流域的水质和水环境有很大的影响,了解污染物在流域内扩散和滞留时间的情况,对高效处理污染物有重要意义。应用三维水动力模型EFDC对珠江流域的水动力过程进行模拟,研究珠江流域船舶污染的滞留时间和污染物浓度变化。结果表明,研究区域中深圳湾的污染物滞留时间最长,洪季约一个半月、枯季可达3个月。综合污染物滞留时间和浓度变化情况,本文建议在珠江洪季时污染治理的重点区域为前海湾和深圳湾,枯季为海鸥岛和前海湾。
Pollution from ships has a great impact on the water quality and water environment of the Pearl River basin. It is of great significance to understand the diffusion and retention time of pollutants in the basin for the efficient treatment of pollutants. Three-dimensional hydrodynamic model EFDC is used to simulate the hydrodynamic process in the pearl river basin to study the residence time and pollutant concentration changes of ship pollution in the pearl river basin. The results show that the pollutant retention time in Shenzhen Bay is the longest,about one and a half months in flood season and three months in dry season. Based on the variation of pollutant retention time and concentration, this paper suggests that the key areas for pollution control during the Pearl River flood season are Qianhai Bay and Shenzhen Bay, and the Seagull Island and Qianhai Bay in the dry season.
Pollution from ships has a great impact on the water quality and water environment of the Pearl River basin. It is of great significance to understand the diffusion and retention time of pollutants in the basin for the efficient treatment of pollutants. Three-dimensional hydrodynamic model EFDC is used to simulate the hydrodynamic process in the pearl river basin to study the residence time and pollutant concentration changes of ship pollution in the pearl river basin. The results show that the pollutant retention time in Shenzhen Bay is the longest,about one and a half months in flood season and three months in dry season. Based on the variation of pollutant retention time and concentration, this paper suggests that the key areas for pollution control during the Pearl River flood season are Qianhai Bay and Shenzhen Bay, and the Seagull Island and Qianhai Bay in the dry season.
引文
[1]李世活.珠江流域船舶污染现状和建议[J].珠江水运,2010(10).
[2]宫云飞,赵鹏飞,兰冬东,朱容娟,许妍,鲍晨光,于春艳.我国海洋溢油事故特征与趋势分析[J].海洋开发与管理,2018,35(11).
[3]杨美临,郝红升,韩方虎.提升内河航道溢油环境风险评价与管理有效性的研究[J].水力发电,2018(12).
[4]钱树芹,高秋霖,张心凤,李越.珠江流域突发性水污染事故应对措施探讨[J].人民珠江,2014,35(05).
[5]程文祥.船舶生活污水污染与其治理方案分析[J].价值工程,2017,36(23).
[6]崔连正,郭家伟,蒋敏.新型溢油回收船发展研究[J].中国水运(下半月),2018,18(07).
[7]朱峻,柏勇,孙宏良.新型船用生活污水处理装置研究[J].中国水运,2017(04).
[8]CHUI Chi-Min, HUANG Ching-Jer, WU Li-Chung, et al., Forecasting of、oil-spill trajectories by using SCHISM and X-band radar[J], Marine Pollution Bulletin, 2018,Volume 137, Pages 566-581
[9]HOU Xianlong, BEN R. Hodges, FENG Dongyu, LIU Qixiao, Uncertainty quantification and reliability assessment in operational oil spill forecast modeling system[J], Marine Pollution Bulletin, Volume 116, Issues 1–2, 2017,Pages 420-433
[10]逄勇,李毓湘.珠江三角洲污染物对东四口门通量影响分析[J].河海、大学学报(自然科学版),2001(04).
[11]Hamrick, J.M., Wu, T.S.. Computational design and optimization of the EFDC/HEM3D surface water hydrodynamic and eutrophication models[C]. In:Delich, G., Wheeler, M.F.(Eds.), Next Generation Environmental Models and Computational Methods. Society for Industrial and Applied Mathematics,Pennsylvania, 1997, pp. 143-161.
[12]HONG Bo, SHEN Jian. Responses of estuarine salinity and transport processes to potential future sea-level rise in the Chesapeake Bay[J]. Estuarine, Coastal and Shelf Science, 2012, 104-105, 33-45.
[13]HONG Bo, Wenping Gong, Shiqiu Peng, et al.. Characteristics of vertical exchange process in the Pearl River estuary[J]. Aquatic Ecosystem Health&Management, 2016, 19(3):286-295.
[14]Willmott, C.J.. On the Validation of Models[J]. Physical Geography, 1981, 2:184-194.
[2]宫云飞,赵鹏飞,兰冬东,朱容娟,许妍,鲍晨光,于春艳.我国海洋溢油事故特征与趋势分析[J].海洋开发与管理,2018,35(11).
[3]杨美临,郝红升,韩方虎.提升内河航道溢油环境风险评价与管理有效性的研究[J].水力发电,2018(12).
[4]钱树芹,高秋霖,张心凤,李越.珠江流域突发性水污染事故应对措施探讨[J].人民珠江,2014,35(05).
[5]程文祥.船舶生活污水污染与其治理方案分析[J].价值工程,2017,36(23).
[6]崔连正,郭家伟,蒋敏.新型溢油回收船发展研究[J].中国水运(下半月),2018,18(07).
[7]朱峻,柏勇,孙宏良.新型船用生活污水处理装置研究[J].中国水运,2017(04).
[8]CHUI Chi-Min, HUANG Ching-Jer, WU Li-Chung, et al., Forecasting of、oil-spill trajectories by using SCHISM and X-band radar[J], Marine Pollution Bulletin, 2018,Volume 137, Pages 566-581
[9]HOU Xianlong, BEN R. Hodges, FENG Dongyu, LIU Qixiao, Uncertainty quantification and reliability assessment in operational oil spill forecast modeling system[J], Marine Pollution Bulletin, Volume 116, Issues 1–2, 2017,Pages 420-433
[10]逄勇,李毓湘.珠江三角洲污染物对东四口门通量影响分析[J].河海、大学学报(自然科学版),2001(04).
[11]Hamrick, J.M., Wu, T.S.. Computational design and optimization of the EFDC/HEM3D surface water hydrodynamic and eutrophication models[C]. In:Delich, G., Wheeler, M.F.(Eds.), Next Generation Environmental Models and Computational Methods. Society for Industrial and Applied Mathematics,Pennsylvania, 1997, pp. 143-161.
[12]HONG Bo, SHEN Jian. Responses of estuarine salinity and transport processes to potential future sea-level rise in the Chesapeake Bay[J]. Estuarine, Coastal and Shelf Science, 2012, 104-105, 33-45.
[13]HONG Bo, Wenping Gong, Shiqiu Peng, et al.. Characteristics of vertical exchange process in the Pearl River estuary[J]. Aquatic Ecosystem Health&Management, 2016, 19(3):286-295.
[14]Willmott, C.J.. On the Validation of Models[J]. Physical Geography, 1981, 2:184-194.