| 304 | 1 | 61 |
| 下载次数 | 被引频次 | 阅读次数 |
伴随着江苏沿海区域经济的发展,各类工业企业扎堆出现在长江、黄海沿岸,尤其是大量对水资源有需求的工业源出现在江苏沿海三市,给区域水环境带来了巨大的压力,迫切需要对该区域的水污染工业点源进行统计与分析。该研究基于最新的全国污染源普查数据,分析了江苏沿海地区水污染工业点源空间分布特征及COD污染负荷强度,得出以下结论:1)废水入河企业数量多,分布密度高,COD污染负荷大,管理部门应对废水入河企业特别关注。沿海三市中,南通市工业点源数量最多,废水COD排放强度最大。2)废水排江的企业大部分属于传统行业,成立时间已久,这些企业大多聚集在长江南通市区段沿岸,其中棉、化纤纺织加工企业的废水COD排放强度最大。3)废水直接入海企业数量少,废水浓度低,对江苏沿海地区水质的威胁相对较小。
Abstract:With the regional economic development, a large number of industrial enterprises have settled in the three coastal cities of Jiangsu, which has brought enormous pollutants' loading to the aquatic ecosystem. Based on the latest national pollution source census data, the study analyzed the spatial distribution characteristics and COD loading of industrial point sources in Jiangsu coastal areas, and drew the following conclusions: 1) The number of enterprises discharging the wastewater into the river is the largest, the distribution density is high. Among the three coastal cities, Nantong has the largest number of industrial point sources and the largest COD loading. 2) Most of these enterprises in Nantong belong to traditional industries and have been established for a long time. Most of these enterprises gather along the Changjiang River in Nantong. Among them, cotton and chemical fiber textile processing enterprises discharge the most pollutants. 3) The number of enterprises directly discharging pollutants into the sea was small and they pose a relatively small threat to the water quality of Jiangsu coastal areas.
[1]丁言者.江苏近岸海域水质变化特征研究[D].南京:南京师范大学,2014.
[2]崔彦彦.科学发展观视域下的江苏沿海地区发展思路探析[D].苏州:苏州大学,2011.
[3]卫云龙.基于陆海统筹的南通市工业主导产业选择与布局研究[D].合肥:安徽农业大学,2014.
[4] 2014年度南通市环境状况公报[EB/OL].(2015-06-04)[2018-11-05]. http://www.nantong.gov.cn.
[5] 2014年度盐城市环境状况公报[EB/OL].(2015-06-05)[2018-11-05]. http://www.yancheng.gov.cn.
[6] 2014年度连云港市环境状况公报[EB/OL].(2015-06-05)[2018-11-05]. http://www.lyg.gov.cn.
[7]殷文亮,钟非,翟东冉,等.小型城市景观水体水环境的整治对策:以某高校校园河流为例[J].南通大学学报(自然科学版),2018,17(2):20-27.
[8] YAO H,LIU B,YOU Z,et al. Risk perception of aquatic pollution originated from chemical industry clusters in the coastal area of Jiangsu Province, China[J]. Environmental Science and Pollution Research, 2018,25(6):5711-5721.
[9] YAO H,ZHANG T Z,LIU B,et al. Analysis of surface water pollution accidents in China:characteristics and lessons for risk management[J]. Environmental Management,2016,57(4):868-878.
[10]唐洁,王英利.农业依存度计算模型与实证研究初步[J].南通大学学报(自然科学版),2016,15(4):59-64.
[11]金浩波,黄卫.江苏沿海地区水污染现状及防治对策[J].环境导报,2001(1):42-44.
[12]谢飞,吴俊锋,凌虹,等.江苏省“十三五”水污染防治规划思路探讨[J].污染防治技术,2016,29(2):73-76.
[13]穆杰.长距离输水工程突发水污染事件风险评价与预警预案研究[D].天津:天津大学,2015.
[14]邹隽.江苏盐城水污染案评析[D].长沙:湖南师范大学,2016.
[15]环境保护部.地表水环境质量标准:GB 3838—2002[S].北京:中国环境科学出版社,2002.
[16]环境保护部.海水水质标准:GB 3097—1997[S].北京:中国环境科学出版社,1997.
基本信息:
中图分类号:X52
引用信息:
[1]姚红,岳成军,秦淇,等.江苏沿海地区水污染工业点源统计与分析[J],2019,18(01):30-34.
基金信息:
国家自然科学基金项目(41501601);; 2018年南通市科技计划项目(MS12018035);; 南通大学博士科研启动基金(15B01);; 江苏省大学生科技创新项目(201810304037Z)