“冀西北水资源与生态环境”专栏

张家口地区排污工业企业集聚与水污染空间耦合特征

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  • 1. 中国科学院水利部成都山地灾害与环境研究所,成都 610041;
    2. 中国科学院大学,北京 100049;
    3. 西南大学地理科学学院,重庆 400715;
    4. 中国科学院城市环境研究所,厦门 361021
于慧(1980-), 女, 山东烟台人, 博士, 副研究员, 研究方向为资源环境承载力与山区发展规划。 E-mail:yuhui@imde.ac.cn

收稿日期: 2019-07-24

  修回日期: 2019-12-03

  网络出版日期: 2020-06-28

基金资助

国家水体污染控制与治理科技重大专项(2017ZX07101001);国家自然科学基金项目(41671529,41971273);长江经济带战略环境评价四川省“三线一单”编制资源利用上线划定(Y8D2600600)

The coupling characteristics between polluting industrial agglomeration and water pollution discharge in Zhangjiakou

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  • 1. Institute of Mountain Hazards and Environment, CAS, Chengdu 610041, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. School of Geographical Sciences, Southwest University, Chongqing 400715, China;
    4. Key Lab of Urban Environment and Health, Institute of Urban Environment, CAS, Xiamen 361021, Fujian, China

Received date: 2019-07-24

  Revised date: 2019-12-03

  Online published: 2020-06-28

摘要

基于排污企业污染源环境统计数据,应用水污染物排放强度和核密度分析等方法,研究张家口地区排污工业企业的空间集聚特征及其与水污染排放空间之间的空间耦合特征,结果显示:(1)张家口地区工业企业空间集聚程度存在一定的空间异质性,崇礼县、赤城县整体上几乎无污染密集型企业分布。污染密集型企业主要沿洋河流域分布。(2)农副食品加工业、黑色金属冶炼及压延加工业、食品制造业、煤炭开采和选洗业这四大行业的COD、NH3-N、总氮等水体污染物排放量相对最大。(3)工业企业集聚度与水环境污染程度的空间正向耦合效应明显,96.23%的区域呈较强正向耦合特征。高集聚—污染高值区占比0.40%。针对四种空间耦合状态提出未来污染物排放管控方向,以期为政府部门准确锁定治理区提供决策依据。

本文引用格式

于慧, 仲佳, 刘邵权, 杨德伟 . 张家口地区排污工业企业集聚与水污染空间耦合特征[J]. 自然资源学报, 2020 , 35(6) : 1416 -1424 . DOI: 10.31497/zrzyxb.20200614

Abstract

This research examines the spatial agglomeration characteristics of industrial enterprises and their spatial coupling characteristics with water pollution discharge in Zhangjiakou by the method of kernel density analysis and pollutant discharge intensity, based on the environmental statistical data of industrial pollution sources in the study area. The results show that: (1) There is a certain spatial heterogeneity in the spatial concentration of industrial enterprises, and there is almost no pollution-intensive enterprise in Chongli and Chicheng counties. Pollution-intensive enterprises mainly distribute in the urban ecological construction functional areas along the Yanghe River. (2) Agricultural and sideline food processing industry, ferrous metal smelting and calendaring processing industry, food manufacturing industry, coal mining and washing industry are the four major industries with the largest discharge of water pollutants such as COD, NH3-N and total nitrogen. (3) The spatial positive coupling effect between the degree of industrial enterprise agglomeration and the degree of water pollution is obvious, and 96.23% of the areas show a strong positive coupling. The proportion of high pollution value-high concentration area was 0.40%. In view of the four spatial coupling types, the future direction of pollutant emission control is proposed in order to provide the decision-making basis for the government to accurately lock the control area.

参考文献

[1] POTER M E.The Competitive Advantage of Nations. New York: The Free Press, 1990.
[2] DURANTON G, PUGA D.Micro-foundations of urban agglomeration economies. Handbook of Regional and Urban Economics, 2004, 4(11): 2063-2117.
[3] ZHANG Y, JIANG D.FDI, industrial agglomeration and technology progress: Evidence from Chinese manufacturing industries. Journal of Finance and Economics, 2008, 34(1): 72-82.
[4] 毛熙彦, 刘颖, 贺灿飞. 中国资源性产业空间演变特征. 自然资源学报, 2015, 30(8): 1332-1342.
[MAO X Y, LIU Y, HE C F.Spatial pattern dynamics of resource-based industry in China. Journal of Natural Resources, 2015, 30(8): 1332-1342.]
[5] 周侃, 王强, 樊杰. 经济集聚对区域水污染物排放的影响及溢出效应. 自然资源学报, 2019, 34(7): 483-1495.
[ZHOU K, WANG Q, FAN J.Impact of economic agglomeration on regional water pollutant emissions and its spillover effects. Journal of Natural Resources, 2019, 34(7): 483-1495.]
[6] 周侃. 中国环境污染的时空差异与集聚特征. 地理科学, 2016, 36(7): 989-997.
[ZHOU K.Spatial-temporal differences and cluster features of environmental pollution in China. Scientia Geographica Sinica, 2016, 36(7): 989-997.]
[7] 贺灿飞, 任永欢, 李蕴雄. 产品结构演化的跨界效应研究: 基于中国地级市出口产品的实证分析. 地理科学, 2016, 36(11): 1605-1613.
[HE C F, REN Y H, LI Y X.The mechanism of cross-boundary product evolution in China: An empirical analysis based on export product of prefecture-level Cities. Scientia Geographica Sinica, 2016, 36(11): 1605-1613.]
[8] JIANG G, MA W, DING Y Z, et al.Agglomeration or dispersion? Industrial land-use pattern and its impacts in rural areas from China's township and village enterprises perspective. Journal of Cleaner Production, 2017, 166(10): 207-219.
[9] 尹鹏, 李诚固. 环渤海“C型”经济区经济格局的空间演变研究. 地理科学, 2015, 35(5): 537-543.
[YIN P, LI C G.Spatial evolution of economic pattern in spatial in C-typed. Scientia Geographica Sinica, 2015, 35(5): 537-543.]
[10] CONG H, ZOU D.The research on the mechanism and spatial temporal differentiation of the coupling coordination development based on industrial cluster agglomeration. Cluster Computing, 2017, 20(1): 195-213.
[11] 张姗姗, 张磊, 张落成, 等. 苏南太湖流域污染企业集聚与水环境污染空间耦合关系. 地理科学, 2018, 38(6): 954-962.
[ZHANG S S, ZHANG L, ZHANG L C, et al.Coupling relationship between polluting industrial agglomeration and water environment pollution in southern Jiangsu of Taihu Lake Basin. Scientia Geographica Sinica, 2018, 38(6): 954-962.]
[12] 高爽, 魏也华, 陈雯, 等. 发达地区制造业集聚和水污染的空间关联: 以无锡市区为例. 地理研究, 2011, 30(5): 902-912.
[GAO S, WEI Y H, CHEN W, et al.Study on special-correlation between water pollution and industrial agglomeration in the developed region of China: A case study of Wuxi city. Geographical Research, 2011, 30(5): 902-912.]
[13] 朱华晟, 王缉慈. 论柔性生产与产业集聚. 世界地理研究, 2001, 10(4): 39-46.
[ZHU H S, WANG J C.Flexible production and industrial agglomeration. World Regional Studies, 2001, 10(4): 39-46.]
[14] MARTIN A, HANS L.Agglomeration and productivity: Evidence from firm level data. The Annals of Regional Science, 2011, 46(3): 601-620.
[15] 武翠. 工业经济增长背景下制造业集聚对我国工业污染的影响研究. 南京: 南京信息工程大学, 2015.
[WU C.Study on the effect of manufacturing industrial cluster on industrial pollution in the context of industrial economic development. Nanjing: Nanjing University of Information Science and Technology, 2015.]
[16] 沈静, 向澄, 柳意云. 广东省污染密集型产业转移机制: 基于2000—2009年面板数据模型的实证. 地理研究, 2012, 31(2): 357-368.
[SHEN J, XIANG C, LIU Y Y.The mechanism of pollution: Intensive industry relocation in Guangdong province, 2000-2009. Geographical Research, 2012, 31(2): 357-368.]
[17] PEYMAN B, FRITJOF F, ABOLFAZL S, et al.Environmental Science and Pollution Research. Springer Berlin Heidelberg, 2015.
[18] MONRIKI H, TOHRU N.Trans-boundary pollution transmission and regional agglomeration effects. Papers in Regional Science, 2006, 85(1): 99-120.
[19] EMEL T, LAURA S, ILHAN T.A systematic evaluation of agglomeration of Ag and TiO2 nanoparticles under freshwater relevant conditions. Environmental Pollution, 2014, 193(10): 37-44.
[20] 邹继武. 我国制造业集聚对环境污染的影响研究: 基于空间计量视角. 湘潭: 湖南科技大学, 2016.
[ZOU J W.The influence of Chinese manufacturing industries' agglomeration to the environment pollution: Based on the view of spatial economitric. Xiangtan: Hunan University of Science and Technology, 2016.]
[21] 王艳华, 苗长虹, 胡志强, 等. 专业化、多样性与中国省域工业污染排放的关系. 自然资源学报, 2019, 34(3): 586-599.
[WANG Y H, MIAO C H, HU Z Q, et al.Specialization, diversity and their impacts on China's provincial industrial pollution emissions. Journal of Natural Resources, 2019, 34(3): 586-599.]
[22] 曾勇, 王西琴. 浙江西苕溪水环境容量模型与参数灵敏度分析. 中国环境科学, 2010, 30(12): 1627-1632.
[ZENG Y, WANG X Q.Water environmental capacity model and its parameters sensitivity analysis for Xitiaoxi River in Zhejiang province, China. China Environmental Science, 2010, 30(12): 1627-1632.]
[23] 李瑞芳. 我国制造业集聚与大气污染关系的实证分析. 河南: 河南师范大学, 2012.
[LI R F.Our country manufacturing industry cluster and the empirical analysis of the relationship between atmospheric pollution. Henan: Henan Normal University, 2012.]
[24] 赵海霞, 王梅, 段学军. 水环境容量约束下的太湖流域产业集聚空间优化. 中国环境科学, 2012, 32(8): 1530-1536.
[ZHAO H X, WANG M, DUAN X J.Spatial optimization of industrial clustering under the constraint of water environmental capacity in Taihu Lake Basin. China Environmental Science, 2012, 32(8): 1530-1536.]
[25] SONG C, YAN J J, SHA J H, et al.Dynamic modeling application for simulating optimal policies on water conservation in Zhangjiakou city, China. Journal of Cleaner Production, 2018, 201: 111-122.
[26] 陈晨, 程林, 修春亮. 沈阳市中心城区交通网络中心性及其与第三产业经济密度空间分布的关系. 地理科学进展, 2013, 32(11): 1612-1621.
[CHEN C, CHENG L, XIU C L.Distribution of centrality of traffic network and its relationship with economic density of tertiary industry in Shenyang. Progress in Geography, 2013, 32(11): 1612-1621.]
[27] 刘华军, 杜广杰. 中国城市大气污染的空间格局与分布动态演进: 基于161个城市AQI及6种分项污染物的实证. 经济地理, 2016, 36(10): 33-38.
[LIU H J, DU G J.Spatial pattern and distributional dynamics of urban air pollution in China. Economic Geography, 2016, 36(10): 33-38.]
[28] ZHANG Z M, WANG X Y, ZHANG Y, et al.The over polluted water quality assessment of Weihe River based on Kernel Density Estimation. Procedia Environmental Sciences, 2012, 13: 1271-1282.
[29] 祝汉收, 刘春霞, 李月臣. 重庆市战略性新兴产业空间集聚测度及时空演变分析. 重庆师范大学学报: 自然科学版, 2018, 35(5): 63-70.
[ZHU H S, LIU C X, LI Y C.The geographic agglomeration of Chongqing's strategic emerging industries based on GIS and its relationship with GDP. Journal of Chongqing Normal University: Natural Science, 2018, 35(5): 63-70.]
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