基于GIS建模的海水环境质量可变模糊识别评价

doi:10.13249/j.cnki.sgs.2017.08.016

地理科学 ›› 2017, Vol. 37 ›› Issue (8): 1251-1258.doi: 10.13249/j.cnki.sgs.2017.08.016

基于GIS建模的海水环境质量可变模糊识别评价

柯丽娜^1,²(), 张一民¹, 韩旭¹, 王辉^1,², 王权明³, 王利^1,²

1.辽宁师范大学城市与环境学院,辽宁大连 116029
2.辽宁师范大学海洋经济与可持续发展研究中心,辽宁大连 116029
3.国家海洋环境监测中心,辽宁大连 116023

收稿日期:2016-09-02 修回日期:2017-01-13 出版日期:2017-08-15 发布日期:2017-08-15
作者简介:
作者简介:柯丽娜（1978-）,副教授,博士,主要研究方向为海洋资源开发与利用、遥感及地理信息系统应用研究。E-mail: kekesunny@163.com
基金资助:
国家自然科学基金（41501594,41771159）和中国博士后科学基金面上基金（2014M561248）资助

Variable Fuzzy Recognition Model of Seawater Environmental Quality Based on GIS Modeling Technique

Lina Ke^1,²(), Yimin Zhang¹, Xu Han¹, Hui Wang^1,², Quanming Wang³, Li Wang^1,²

1.College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, Liaoning, China
2. Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China
3. National Marine Environment Monitoring Center, Dalian 116023, Liaoning, China

Received:2016-09-02 Revised:2017-01-13 Online:2017-08-15 Published:2017-08-15
Supported by:
National Natural Science Foundation of China（41501594,41771159）, China's Post-doctoral Science Fund (2014M561248).

摘要/Abstract

摘要：

基于对立统一与质量互变定理的可变模糊评价方法引入海水水质综合评价,构建基于对立统一与质量互变定理的海洋环境质量可变模糊评价模型,首先分析可变模糊评价方法的原理和方法,然后结合GIS栅格数据在表达空间信息方面具有的独特优势,以栅格数据为基础,利用地理信息系统空间叠置分析、地理信息系统空间建模等计算,建立基于多源栅格数据的海水环境可变模糊综合评价模型,得到莱州湾2004~2010年海水环境空间分布图。实践证明,该模型应用于海水水质综合评价是完全可行的,为海洋环境领域的多目标综合评价与决策提供了新的思路与方法。

关键词: 可变模糊识别模型, 海水环境质量评价, GIS

Abstract:

Fuzzy comprehensive evaluation method is widely used in the comprehensive evaluation of seawater quality. But its model calculation is more complicated, and the model is difficult to self adjustment and self validation.This paper will introducethe unity of opposites and variable quality Exchange Theorem of fuzzy evaluation, and bulid a variable fuzzy recognition model of seawater environmental quality. Firstly, the principle and method of variable fuzzy evaluation method is analyzed, and then a variable fuzzy comprehensive evaluation model of seawater environment based on multi source raster data is established, based on the unique advantages of GIS raster data, geographic information system spatial overlay analysis, spatial modeling of geographic information system and so on. In the expression of spatial information, the spatial distribution of seawater environment in Laizhou Bay from 2004 to 2010 was obtained. It is proved that the model is feasible in the comprehensive evaluation of seawater quality, and provides a new method for the comprehensive evaluation and decision of multi objective in the field of marine environment. The monitoring results of many years show that the water quality of Laizhou Bay is poor as a whole, the comprehensive evaluation grade value is between 1.60~3.32, the content of dissolved inorganic nitrogen is generally higher, the evaluation grade is decreasing from west and southwest to the northeast, and is fanning out. There is a small range in the central area of the Laizhou Bay estuary, the spatial distribution maps showed obvious protrusions.

Key words: Variable Fuzzy Recognition Model, seawater quality evaluation, GIS

中图分类号:

P748

柯丽娜, 张一民, 韩旭, 王辉, 王权明, 王利. 基于GIS建模的海水环境质量可变模糊识别评价[J]. 地理科学, 2017, 37(8): 1251-1258.

Lina Ke, Yimin Zhang, Xu Han, Hui Wang, Quanming Wang, Li Wang. Variable Fuzzy Recognition Model of Seawater Environmental Quality Based on GIS Modeling Technique[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(8): 1251-1258.

图/表 4

参考文献 29

[1]	孙才志, 于广华, 王泽宇, 等. 环渤海地区海域承载力测度与时空分异分析[J]. 地理科学, 2014, 34(5): 513-521. doi: 10.4028/www.scientific.net/AMR.1049-1050.1753
	[Sun Caizhi, Yu Guanghua,Wang Zeyu et al. Marine carrying capacity assessment and spatio-temporal analysis in the Bohai Sea Ring Area. Scientia Geographica Sinica, 2014, 34(5): 513-521.] doi: 10.4028/www.scientific.net/AMR.1049-1050.1753
[2]	Noan Fierer,Jennifer L.morse, Sean T. berthrong et al. Environmental controls on the landscape-scale biogeography of stream bacterial communities[J].Ecology, 2007,88(9):2162-2173. doi: 10.1890/06-1746.1
[3]	Li Tao, Cai Shuming,Yang Handong et al. Fuzzy comprehensive-quantifying assessment in analysis of water quality:a case study in Lake Honghu, China[J].Environmental Engineering Science,2009,26(2):451-458. doi: 10.1089/ees.2007.0270
[4]	章斌, 宋献方. 运用数理统计和模糊数学评价秦皇岛洋戴河平原的海水入侵程度[J]. 地理科学, 2013, 33(3): 342-348.
	[Zhang Bin, Song Xianfang.Seawater intrusion degree evaluation based on mathematical statistics and fuzzy mathematics in Qinhuangdao Yangdai River Plain. Scientia Geographica Sinica, 2013, 33(3): 342-348.]
[5]	赵彦飞, 邹志红, 晓静. 改进的灰色相似关联度模型在水质评价中的应用[J]. 数学的实践与认识, 2015, 45(12): 154-159.
	[Zhao Yanfei, Zou Zhihong, Xiao Jing.Improved gray correlation similar model in water quality assessment. Mathematics in Practice and Theory, 2015, 45(12): 154-159.]
[6]	安岩, 邹志红. 基于改进物元分析和对应分析的水质评价研究[J]. 数学的实践与认识, 2014, 44(13): 160-166.
	[An Yan, Zou Zhihong.Study on modified water quality assessment based on matter element and correspondence analysis. Mathematics in Practice and Theory, 2014, 44(13): 160-166.]
[7]	Wu J, Guo Z H,Lu H Y et al. A case study on a hybrid wind speed forecasting method using BP neural network. Knowledge-Based Systems,2011, 24, 1048-1056. doi: 10.1016/j.knosys.2011.04.019
[8]	张颖, 李梅, 高倩倩. 基于ELMR-SVMR的海水水质预警模型研究[J]. 大连理工大学学报, 2016, 56(2): 185-192. doi: 10.7511/dllgxb201602012
	[Zhang Ying, Li Mei, Gao Qianqian.Research on forewarning model of seawater quality based on ELMR-SVMR. Journal of Dalian University of Technology, 2016, 56(2): 185-192.] doi: 10.7511/dllgxb201602012
[9]	刘新颜, 曹晓仪, 董治宝. 基于T-S模糊神经网络模型的榆林市土壤风蚀危险度评价[J]. 地理科学, 2013, 33(6): 741-747.
	[Liu Xinyan, Cao Xiaoyi, Dong Zhibao.Soil wind erosion risk assessment in Yulin City using T-S fuzzy neural network model. Scientia Geographica Sinica, 2013, 33(6): 741-747.]
[10]	舒帮荣, 黄琪, 刘友兆, 等. 基于变权的城镇用地扩展生态适宜性空间模糊评价——以江苏省太仓市为例[J]. 自然资源学报, 2012, 27(3): 402-412. doi: 10.11849/zrzyxb.2012.03.006
	[Shu Bangrong, Huang Qi,Liu Youzhao et al. Spatial fuzzy assessment of ecological suitability for urban land expansion based on variable weights:a case study of Taicang. Journal of Natural Resources, 2012, 27(3): 402-412.] doi: 10.11849/zrzyxb.2012.03.006
[11]	柯丽娜, 王权明, 孙新国, 等. 基于可变模糊识别模型的海水环境质量评价研究[J]. 生态学报, 2013, 33(6): 1889-1899. doi: 10.5846/stxb201208251203
	[Ke Lina, Wang Quanming,Sun Xinguo et al. The seawater environment quality evaluation research base on variable fuzzy pattern recognition model. Acta Ecologica Sinica, 2013, 33(6): 1889-1899.] doi: 10.5846/stxb201208251203
[12]	陈守煜. 可变模糊集理论与模型及其应用[M]. 大连: 大连理工大学出版社, 2009.
	[Chen Shouyu.Theory and model of variable fuzzy Sets and its application. Dalian: Dalian University of Technology Press, 2009.]
[13]	陈守煜. 可变集—可变模糊集的发展及其在水资源系统中的应用[J]. 数学的实践与认识, 2012, 42(1): 92-101. doi: 10.3969/j.issn.1000-0984.2012.01.013
	[Chen Shouyu.Variable sets: the development of variable fuzzy sets and the applications in assessment of water resource. Mathematics in Practice and Theory, 2012, 42(1): 92-101.] doi: 10.3969/j.issn.1000-0984.2012.01.013
[14]	陈守煜, 王子茹. 基于对立统一与质量互变定理的水资源系统可变模糊评价新方法[J]. 水利学报, 2011, 42(3): 253-261.
	[Chen Shouyu,Wang ziru. Water resource systems'variable fuzzy sets evaluation new method based on the opposites unity and quantity-quality exchange theorem. Shuili Xuebao, 2011, 42(3): 253-261.]
[15]	郑德凤, 臧正, 孙才志, 等. 基于水资源耦合价值的绿色水价模型及其应用——以下辽河平原为例[J]. 自然资源学报, 2014, 29(7): 1235-1245.
	[Zheng Defeng, Zang Zheng,Sun Caizhi et al. Model of green water price based on coupling values of water resources and its application in lower Liaohe River Plain. Journal of Natural Resources, 2014, 29(7): 1235-1245.]
[16]	于广华, 孙才志. 环渤海沿海地区土地承载力时空分异特征[J]. 生态学报, 2015, 35(14): 4860-4870. doi: 10.5846/stxb201311302853
	[Yu Guanghua, Sun Caizhi.Land carrying capacity spatiotemporal differentiation in the Bohai Sea Coastal Areas. Acta Ecologica Sinica, 2015, 35(14): 4860-4870.] doi: 10.5846/stxb201311302853
[17]	李喆, 李永树, 卓云. 一种基于GIS的预报降雨栅格动态生成方法初探[J]. 地理科学, 2014, 36(4): 757-761. doi: 10.1111/ecc.12122
	[Li Zhe, Li Yongshu, Zhuo Yun.A grid dynamically generated method and preliminary inquiry for rainfall forecast based on GIS. Scientia Geographica Sinica, 2014, 36(4): 757-761.] doi: 10.1111/ecc.12122
[18]	白燕, 廖顺宝, 孙九林. 栅格化属性精度损失的评估方法及其尺度效应分析——以四川省1:25万土地覆被数据为例[J]. 地理学报, 2011, 66(5): 709-717. doi: 10.11821/xb201105013
	[Bai Yan, Liao Shunbao, Sun Jiulin.Evaluating methods and scale effects of attribute information loss in rasterization:a case study of 1:250 000 land cover data of Sichuan. Acta Geographica Sinica, 2011, 66(5): 709-717.] doi: 10.11821/xb201105013
[19]	蔡青, 曾光明, 石林, 等. 基于栅格数据和图论算法的生态廊道识别[J]. 地理研究, 2012, 31(8): 1523-1534. doi: 10.11821/yj2012080016
	[Cai Qing, Zeng Guangming,Dan Lin et al. Identifying ecological corridors using shortest path algorithm based on raster data. Geographical Research, 2012, 31(8): 1523-1534.] doi: 10.11821/yj2012080016
[20]	汤国安, 杨昕. ArcGIS地理信息系统空间分析实验教程[M]. 第2版. 北京: 科学出版社, 2012 . [Tang Guoan, Yang Xin. ArcGIS experimental course for spatial analysis. 2nd ed. Beijing: Science Press, 2012.]
[21]	石志华, 刘梦云, 常庆瑞, 等. 基于优化参数的陕西省气温,降水栅格化方法分析[J]. 自然资源学报, 2015, 30(7): 1141-1152. doi: 10.11849/zrzyxb.2015.07.007
	[Shi Zhihua, Liu Mengyun,Chang Qingrui et al. Comparison of temperature and precipitation rasterization methods based on optimized parameters in Shaanxi Province. Journal of Natural Resources, 2015, 30(7): 1141-1152.] doi: 10.11849/zrzyxb.2015.07.007
[22]	张雪, 张龙军, 侯中里, 等. 1980-2008年莱州湾主要污染物的时空变化[J]. 中国海洋大学学报:自然科学版, 2012, 42(11): 91-98.
	[Zhang Xue, Zhang Longjun,Hou Zhongli et al. Spatio-Temporal variability of principal pollutants in laizhou bay from 1980 to 2008. Periodical of Ocean University of China, 2012, 42(11): 91-98.]
[23]	杨建强, 朱永贵, 宋文鹏, 等. 基于生境质量和生态响应的莱州湾生态环境质量评价[J]. 生态学报, 2014, 34(1): 105-114. doi: 10.5846/stxb201304280850
	[Yang Jianqiang, Zhu Yonggui,Song Wenpeng et al. The eco-environmental evaluation based on habitat quality and ecological response of Laizhou Bay. Acta Ecologica Sinica, 2014, 34(1): 105-114.] doi: 10.5846/stxb201304280850
[24]	李岩, 李克强, 王修林, 等. 近海污染物总量控制水质监测体系构建方法——以莱州湾为例[J]. 中国海洋大学学报:自然科学版, 2015, 45(11): 69-74. doi: 10.16441/j.cnki.hdxb.20140372
	[Li Yan, Li Keqiang,Wang Xiulin et al. Method of construction of water quality monitoring system for pollutants total load control management in coastal area:a case study in laizhou bay. Periodical of Ocean University of China, 2015, 45(11): 69-74.] doi: 10.16441/j.cnki.hdxb.20140372
[25]	李广楼, 崔毅, 陈碧鹃, 等. 秋季莱州湾及附近水域营养现状与评价[J]. 海洋环境科学, 2007, 26(1): 45-48. doi: 10.3969/j.issn.1007-6336.2007.01.011
	[Li Guanglou, Cui Yi,Chen Bijuan et al. Status and evaluation on nutrients in Laizhou Bay in Autumn. Marine Environment Science, 2007, 26(1): 45-48.] doi: 10.3969/j.issn.1007-6336.2007.01.011
[26]	蒋会超,陈海刚,宋秀凯,等.莱州湾金城海域浮游动物群落结构及与环境因子的关系[J].生态学报,2015,35(22):7308-7319. doi: 10.5846/stxb201403260565
	[Jiang Huichao, Chen Haigang,Song Xiukai et al. Zooplankton community structure in Jincheng area of Lizhou Bay and its relationship with environmental factors. Acta Ecologica Sinica, 2015, 35(22): 7308-7319.] doi: 10.5846/stxb201403260565
[27]	陈萍,王兴玲,陈晓玲.基于栅格的鄱阳湖生态经济区洪灾脆弱性评价[J].地理科学,2012,32(8):958-964.
	[Chen Ping, Wang Xingling, Chen Xiaoling.Flood vulnerability assessment of Poyang Lake economical ecological zone at raster level. Scientia Geographica Sinica, 2012, 32(8): 958-964.]
[28]	杨雪,张文忠.基于栅格的区域人居自然和人文环境质量综合评价—以京津冀地区为例[J].地理学报, 2016, 71(12): 2141-2154.
	[Yang Xue, Zhang Wenzhong.Combining natural and human elements to evaluate regional human settlements quality based on raster data: A case study in Beijing-Tianjin-Hebei region. Acta Geographica Sinica, 2016,71(12):2141-2154.]
[29]	秦承志,呼雪梅.栅格数字地形分析中的尺度问题研究方法[J].地理研究,2014,33(2):270-283. doi: 10.11821/dlyj201402007
	[Qin Chengzhi, Hu Xuemei.Review on scale-related researches in grid-based digital terrain analysis. Geographical Research,2014,33(2):270-283.] doi: 10.11821/dlyj201402007

评价指标	指标标准值
评价指标	第一类	第二类	第三类	第四类	劣四类
化学耗氧量x₁≤	2	3	4	5	>5
溶解氧x₂>	6	5	4	3	≤3
无机氮x₃≤	0.2	0.3	0.4	0.5	>0.5
活性磷酸盐(以P计) x₄≤	0.015	0.030	0.030	0.045	>0.045
石油类x₅≤	0.05	0.05	0.30	0.50	>0.50

基于GIS建模的海水环境质量可变模糊识别评价

Variable Fuzzy Recognition Model of Seawater Environmental Quality Based on GIS Modeling Technique

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 4

参考文献 29

相关文章 15

Metrics

本文评价

推荐阅读 10

[1]	顾康康,朱鹏祥,宁杨,汪斐. 基于绿色出行理念的合肥市区空气污染分区调控研究[J]. 地理科学, 2019, 39(8): 1312-1320.
[2]	乌敦,阿拉腾图娅,木希叶乐. 基于GIS的呼和浩特市近百年街道时空演变及其特征分析[J]. 地理科学, 2019, 39(6): 987-996.
[3]	麻学锋, 刘玉林. 基于三要素的张家界旅游城镇化响应测度及影响机制[J]. 地理科学, 2018, 38(8): 1346-1356.
[4]	林琳, 郝珊, 杨莹, 钟志平, 蒙美昀, 田嘉铄. 老年人自评健康的能力-压力模型研究——以广州社区为例[J]. 地理科学, 2018, 38(4): 548-556.
[5]	钟业喜, 傅钰, 郭卫东, 邱静. 中国上市公司总部空间格局演变及其驱动因素研究[J]. 地理科学, 2018, 38(4): 485-494.
[6]	王嵩, 孙才志, 范斐. 基于共生理论的中国沿海省市海洋经济生态协调模式研究[J]. 地理科学, 2018, 38(3): 342-350.
[7]	程敏, 崔晓. 基于多目标改进免疫算法和GIS的养老机构空间配置优化研究——以上海市虹口区为例[J]. 地理科学, 2018, 38(12): 2049-2057.
[8]	卢松, 张小军, 张业臣. 徽州传统村落的时空分布及其影响因素[J]. 地理科学, 2018, 38(10): 1690-1698.
[9]	傅辰昊, 周素红, 闫小培, 柳林. 广州市零售商业中心消费活动时变模式及其影响因素[J]. 地理科学, 2018, 38(1): 20-30.
[10]	韩娟, 金晓斌, 张志宏, 孙伟, 徐心茹, 周寅康. 中国住宅出让地价发育特征及其影响因素分析[J]. 地理科学, 2017, 37(4): 573-584.
[11]	颜阁, 梁收运, 赵红亮. 基于GIS的斜坡单元划分方法改进与实现[J]. 地理科学, 2017, 37(11): 1764-1770.
[12]	彭建超, 钱畅, 吴群, Dirk Strijker, Frans Sijtsma. 基于SoftGIS的土地利用地域性认同测度研究——以荷兰为例[J]. 地理科学, 2016, 36(3): 401-409.
[13]	张小英, 巫细波. 广州购物中心时空演变及对城市商业空间结构的影响研究[J]. 地理科学, 2016, 36(2): 231-238.
[14]	申庆喜, 李诚固, 周国磊. 基于工业空间视角的长春市1995~2011年城市功能空间耦合特征与机制研究[J]. 地理科学, 2015, 35(7): 882-889.
[15]	王加胜, 李满春, 刘永学, 张荷霞, 汪业成, 成王玉. 南沙群岛历史事件时空演化的可视化表达[J]. 地理科学, 2015, 35(5): 608-614.