基于环境质量标准的环境承载力评价方法及其应用

doi:10.18306/dlkxjz.2017.03.004

Abstract

Abstract:

Establishing the monitoring and early-warning mechanism of resource and environmental carrying capacity is an innovative work of comprehensive and deepening reforms of China. This research proposed an evaluation model of environmental carrying capacity based on environmental quality standards. This model measures the carrying capacity of atmospheric, water, and the whole environment through calculating the exceeding standard value index of pollutant concentration, and the Beijing-Tianjin-Hebei region was used as the pilot study area. The conclusions are as follows: (1) The evaluation results of the pilot study area show that 99% of the districts were in the status of overloading. (2) With regard to atmospheric environmental carrying capacity, 98% of the districts were in the status of overloading with PM₁₀ and PM_2.5 as the main pollutants. The concentrations of O₃ and NO₂ also seriously exceeded the values specified in the standards—87% and 72% of the districts were in the status of overloading with these two pollutants, respectively. (3) With respect to water environmental carrying capacity, all 108 districts were in the status of overloading with TN, DO, NH₃-N, and TP as the main pollutants. This evaluation model objectively reflects the state of environmental carrying capacity based on the environmental quality. It can potentially be widely applied to the evaluation of environmental carrying capacity in different regions.

Key words: environmental carrying capacity, pollutant concentration, environmental quality standard, exceeding standard value index, Beijing-Tianjin-Hebei region

Nianlei LIU, Yaling LU, Hongqiang JIANG, Xi CHENG. Environmental carrying capacity evaluation methods and application based on environmental quality standards[J].PROGRESS IN GEOGRAPHY, 2017, 36(3): 296-305.

Figures/Tables 5

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

References 30

[1]	白辉, 高伟, 陈岩, 等. 2016. 基于环境容量的水环境承载力评价与总量控制研究[J]. 环境污染与防治, 38(4): 103-106, 110. doi: 10.15985/j.cnki.1001-3865.2016.04.021
	[Bai H, Gao W, Chen Y, et al.2016. Study on water environmental carrying capacity evaluation and gross control based on environmental capacity[J]. Environmental Pollution and Control, 38(4): 103-106, 110.] doi: 10.15985/j.cnki.1001-3865.2016.04.021
[2]	段新光, 栾芳芳. 2014. 基于模糊综合评判的新疆水资源承载力评价[J]. 中国人口∙资源与环境, 24(3): 119-122.
	[Duan X G, Luan F F.2014. Evaluation of water resources carrying capacity in Xinjiang based on fuzzy comprehensive model[J]. China Population, Resources and Environment, 24(3): 119-122.]
[3]	樊杰, 王亚飞, 汤青, 等. 2015. 全国资源环境承载能力监测预警(2014版)学术思路与总体技术流程[J]. 地理科学, 35(1): 1-10.
	[Fan J, Wang Y F, Tang Q, et al.2015. Academic thought and technical progress of monitoring and early-warning of the national resources and environment carrying capacity (V 2014)[J]. Scientia Geographica Sinica, 35(1): 1-10.]
[4]	高伟, 伊璇, 刘永, 等. 2016. 可持续性约束下开放流域系统氮磷环境承载力研究[J]. 环境科学学报, 36(2): 690-699. doi: 10.13671/j.hjkxxb.2015.0451
	[Gao W, Yi X, Liu Y, et al.2016. Environmental carrying capacity of nitrogen and phosphorus in an open watershed system under sustainability requirement[J]. Acta Scientiae Circumstantiae, 36(2): 690-699.] doi: 10.13671/j.hjkxxb.2015.0451
[5]	李磊, 贾磊, 赵晓雪, 等. 2014. 层次分析—熵值定权法在城市水环境承载力评价中的应用[J]. 长江流域资源与环境, 23(4): 456-460. doi: 10.11870/cjlyzyyhj201404002
	[Li L, Jia L, Zhao X X, et al.2014. Application of the AHP and entropy weight method in evaluation on city water environmental carrying capacity[J]. Resources and Environment in the Yangtze Basin, 23(4): 456-460.] doi: 10.11870/cjlyzyyhj201404002
[6]	刘东, 封志明, 杨艳昭. 2012. 基于生态足迹的中国生态承载力供需平衡分析[J]. 自然资源学报, 27(4): 614-624. doi: 10.11849/zrzyxb.2012.04.008
	[Liu D, Feng Z M, Yang Y Z.2012. Ecological balance between supply and demand in China using ecological footprint method[J]. Journal of Natural Resources, 27(4): 614-624.] doi: 10.11849/zrzyxb.2012.04.008
[7]	彭建, 吴健生, 潘雅婧, 等. 2012. 基于PSR模型的区域生态持续性评价概念框架[J]. 地理科学进展, 31(7): 933-940. doi: 10.11820/dlkxjz.2012.07.012
	[Peng J, Wu J S, Pan Y J, et al.2012. Evaluation for regional ecological sustainability based on PSR model: Conceptual framework[J]. Progress in Geography, 31(7): 933-940.] doi: 10.11820/dlkxjz.2012.07.012
[8]	王传胜, 朱珊珊, 樊杰, 等. 2012. 主体功能区规划监管与评估的指标及其数据需求[J]. 地理科学进展, 31(12): 1678-1684. doi: 10.11820/dlkxjz.2012.12.013
	[Wang C S, Zhu S S, Fan J, et al.2012. Key indicators and their data requirements for supervision and evaluation of MFOZ planning[J]. Progress in Geography, 31(12): 1678-1684.] doi: 10.11820/dlkxjz.2012.12.013
[9]	王春娟, 冯利华, 罗伟. 2012. 长三角经济区水资源承载力的综合评价[J]. 水资源与水工程学报, 23(4): 38-42.
	[Wang C J, Feng L H, Luo W.2012. Comprehensive evaluation of carrying capacity of water resources in Yangtze River Delta[J]. Journal of Water Resources & Water Engineering, 23(4): 38-42.]
[10]	王金南, 于雷, 万军, 等. 2013. 长江三角洲地区城市水环境承载力评估[J]. 中国环境科学, 33(6): 1147-1151. doi: 10.3969/j.issn.1000-6923.2013.06.026
	[Wang J N, Yu L, Wan J, et al.2013. Assessment on water environmental carrying capacity in the Yangtze River Delta[J]. China Environmental Science, 33(6): 1147-1151.] doi: 10.3969/j.issn.1000-6923.2013.06.026
[11]	王奎峰, 李娜, 于学峰, 等. 2014. 基于P-S-R概念模型的生态环境承载力评价指标体系研究: 以山东半岛为例[J]. 环境科学学报, 34(8): 2133-2139. doi: 10.13671/j.hjkxxb.2014.0661
	[Wang K F, Li N, Yu X F, et al.2014. Eco-environmental carrying capacity evaluation index system based on the concept of P-S-R model: A case study in Shandong Peninsula[J]. Acta Scientiae Circumstantiae, 34(8): 2133-2139.] doi: 10.13671/j.hjkxxb.2014.0661
[12]	王西琴, 高伟, 曾勇. 2014. 基于SD模型的水生态承载力模拟优化与例证[J]. 系统工程理论与实践, 34(5): 1352-1360.
	[Wang X Q, Gao W, Zeng Y.2014. Methods and case study on water ecological carrying capacity using SD model[J]. Systems Engineering-Theory & Practice, 34(5): 1352-1360.]
[13]	徐琳瑜, 康鹏, 刘仁志. 2013. 基于突变理论的工业园区环境承载力动态评价方法[J]. 中国环境科学, 33(6): 1127-1136. doi: 10.3969/j.issn.1000-6923.2013.06.023
	[Xu L Y, Kang P, Liu R Z.2013. Dynamic evaluation on environmental carrying capacity of industrial park with catastrophe progression method[J]. China Environmental Science, 33(6): 1127-1136.] doi: 10.3969/j.issn.1000-6923.2013.06.023
[14]	薛文博, 付飞, 王金南, 等. 2014. 基于全国城市PM2.5达标约束的大气环境容量模拟[J]. 中国环境科学, 34(10): 2490-2496. doi: 10.3969/j.issn.1000-6923.2014.10.007
	[Xue W B, Fu F, Wang J N, et al.2014. Modeling study on atmospheric environmental capacity of major pollutants constrained by PM2.5 compliance of Chinese cities[J]. China Environmental Science, 34(10): 2490-2496.] doi: 10.3969/j.issn.1000-6923.2014.10.007
[15]	姚士谋, 张平宇, 余成, 等. 2014. 中国新型城镇化理论与实践问题[J]. 地理科学, 34(6): 641-647.
	[Yao S M, Zhang P Y, Yu C, et al.2014. The theory and practice of new urbanization in China[J]. Scientia Geographica Sinica, 34(6): 641-647.]
[16]	叶龙浩, 周丰, 郭怀成, 等. 2013. 基于水环境承载力的沁河流域系统优化调控[J]. 地理研究, 32(6): 1007-1016. doi: 10.11821/yj2013060004
	[Ye L H, Zhou F, Guo H C, et al.2013. Optimal regulation of Qinghe River watershed system based on water carrying capacity[J]. Geographical Research, 32(6): 1007-1016.] doi: 10.11821/yj2013060004
[17]	曾维华, 等. 2014. 环境承载力理论、方法及应用[M]. 北京: 化学工业出版社.
	[Zeng W H, et al.2014. Huanjing chengzaili lilun, fangfa ji yingyong[M]. Beijing, China: Chemical Industry Press.]
[18]	张会涓, 陈然, 赵言文. 2012. 基于模糊物元模型的区域水环境承载力研究[J]. 水土保持通报, 32(2): 186-189.
	[Zhang H J, Chen R, Zhao Y W.2012. Regional carrying capacity of water environment based on fuzzy matter-element model[J]. Bulletin of Soil and Water Conservation, 32(2): 186-189.]
[19]	Clarke A L.2002. Assessing the carrying capacity of the Florida keys[J]. Population and Environment, 23(4): 405-418. doi: 10.1023/A:1014576803251
[20]	Gong L, Jin C L.2009. Fuzzy comprehensive evaluation for carrying capacity of regional water resources[J]. Water Resources Management, 23(12): 2505-2513. doi: 10.1007/s11269-008-9393-y
[21]	Li N, Yang H, Wang L C, et al.2016. Optimization of industry structure based on water environmental carrying capacity under uncertainty of the Huai River Basin within Shandong Province, China[J]. Journal of Cleaner Production, 112: 4594-4604. doi: 10.1016/j.jclepro.2015.08.074
[22]	Peng J, Du Y Y, Liu Y X, et al.2016. How to assess urban development potential in mountain areas? An approach of ecological carrying capacity in the view of coupled human and natural systems[J]. Ecological Indicators, 60: 1017-1030. doi: 10.1016/j.ecolind.2015.09.008
[23]	Peng J, Wang Y L, Wu J S, et al.2011. Research progress on evaluation frameworks of regional ecological sustainability[J]. Chinese Geographical Science, 21(4): 496-510. doi: 10.1007/s11769-011-0490-0
[24]	Wackernagel M, Yount J D.1998. The ecological footprint: An indicator of progress toward regional sustainability[J]. Environmental Monitoring and Assessment, 51(1-2): 511-529. doi: 10.1023/A:1006094904277
[25]	Wang W Y, Zeng W H.2013. Optimizing the regional industrial structure based on the environmental carrying capacity: An inexact fuzzy multi-objective programming model[J]. Sustainability, 5(12): 5391-5415. doi: 10.3390/su5125391
[26]	Wei C, Guo Z Y, Wu J P, et al.2014. Constructing an assessment indices system to analyze integrated regional carrying capacity in the coastal zones: A case in Nantong[J]. Ocean & Coastal Management, 93: 51-59. doi: 10.1016/j.ocecoaman.2014.02.009
[27]	Sutton P C, Anderson S J, Tuttle B T, et al.2012. The real wealth of nations: Mapping and monetizing the human ecological footprint[J]. Ecological Indicators, 16: 11-22. doi: 10.1016/j.ecolind.2011.03.008
[28]	Yang J F, Lei K, Khu S, et al.2015. Assessment of water environmental carrying capacity for sustainable development using a coupled system dynamics approach applied to the Tieling of the Liao River Basin, China[J]. Environmental Earth Sciences, 73(9): 5173-5183. doi: 10.1007/s12665-015-4230-0
[29]	Zeng W H, Wu B, Chai Y.2016. Dynamic simulation of urban water metabolism under water environmental carrying capacity restrictions[J]. Frontiers of Environmental Science & Engineering, 10(1): 114-128. doi: 10.1007/s11783-014-0669-6
[30]	Zheng D F, Zhang Y, Zang Z, et al.2015. Empirical research on carrying capacity of human settlement system in Dalian City, Liaoning Province, China[J]. Chinese Geographical Science, 25(2): 237-249. doi: 10.1007/s11769-014-0732-z

Environmental carrying capacity evaluation methods and application based on environmental quality standards

RichHTML

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 5

References 30

Related Articles 15

Metrics

Comments

Recommended 0

[1]	ZHANG Feng, CHEN Yanguang, LIU Peng. Spatiotemporal relationships between urban system and water system in the Beijing-Tianjin-Hebei region [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 377-388.
[2]	LIU Hanchu, FAN Jie, ZHANG Haipeng, Wang Fuyuan. Dynamics of manufacturing industry and change of its spatial pattern in the Pearl River Delta urban agglomeration [J]. PROGRESS IN GEOGRAPHY, 2020, 39(2): 195-206.
[3]	LIU Xiaoxiao, WU Kang. Change of industrial investment networks in the central core area of the Beijing-Tianjin-Hebei region under the background of non-capital function dispersal [J]. PROGRESS IN GEOGRAPHY, 2020, 39(12): 1972-1984.
[4]	FU Hui, LIU Yanjun, SUN Hongri, ZHOU Guolei. Spatiotemporal characteristics and dynamic mechanism of cultivated land use transition in the Beijing-Tianjin-Hebei region [J]. PROGRESS IN GEOGRAPHY, 2020, 39(12): 1985-1998.
[5]	NIU Qiang, SHEN Yingjie, ZHOU Yi, HUANG Jingnan, WANG Pan. Effect and lag period of urban agglomeration construction land growth on economic growth based on lagged variable model:A case study of the Beijing-Tianjin-Hebei urban agglomeration [J]. PROGRESS IN GEOGRAPHY, 2020, 39(10): 1656-1666.
[6]	Xiaoxue SHI, Daoyi GONG, Yihong HU. Regional strong winter wind events over Beijing-Tianjin-Hebei and the associated atmospheric circulation changes during 1979-2017 [J]. PROGRESS IN GEOGRAPHY, 2019, 38(7): 1069-1079.
[7]	Dan CUI, Hao WU, Dianting WU. A review and prospect of regional governance in the Beijing-Tianjin-Hebei region [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 1-14.
[8]	Linshan HUANG, Yanguang CHEN, Shuangcheng LI. Multifractal spectral analysis of land use structure of the Beijing-Tianjin-Hebei urban system [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 50-64.
[9]	Feng ZHANG, Yanguang CHEN, Xiaosong LI. Radial dimension analysis of growth and form of cities in the Beijing-Tianjin-Hebei region [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 65-76.
[10]	Jingtian ZHAO, Yanguang CHEN, Shuangcheng LI. Bi-fractal structure and evolution of the Beijing-Tianjin-Hebei region urban land-use patterns [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 77-87.
[11]	Yuqing LONG, Yanguang CHEN. Multi-scaling allometric analysis of the Beijing-Tianjin-Hebei urban system based on nighttime light data [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 88-100.
[12]	Lixin SU, Changchun FENG. A comparative study on the regional governance models of the Beijing-Tianjin-Hebei region and several foreign metropolitans [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 15-25.
[13]	Qian LI, Haiyang YU, Ting LI, Shuang LONG, Wei SHAO, Ying WANG, Yingjun XU. Hazard assessment of typhoons affecting the Beijing-Tianjin-Hebei region based on Gumbel distribution [J]. PROGRESS IN GEOGRAPHY, 2018, 37(7): 933-945.
[14]	Xiao LI, Yuming SHEN, Ling QIU. Correlation analysis of producer services in the Beijing-Tianjin-Hebei region [J]. PROGRESS IN GEOGRAPHY, 2018, 37(2): 299-307.
[15]	Jie FAN, Kan ZHOU, Yafei WANG. Basic points and progress in technical methods of early-warning of the national resource and environmental carrying capacity (V 2016) [J]. PROGRESS IN GEOGRAPHY, 2017, 36(3): 266-276.