[1]王文滔,陈永刚*,胡俊杰,等.基于信息增益综合加权的山地生态质量评价[J].山地学报,2022,(5):661-669.[doi:10.16089/j.cnki.1008-2786.000701]
　WANG Wentao,CHEN Yonggang*,HU Junjie,et al.Evaluation on Ecological Quality of Mountainous Areas Based on Integrated Weighting of Information Gain[J].Mountain Research,2022,(5):661-669.[doi:10.16089/j.cnki.1008-2786.000701]
点击复制

基于信息增益综合加权的山地生态质量评价
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2022年第5期
页码:
661-669
栏目:
山地环境
出版日期:
2022-11-20

文章信息/Info

Title:
Evaluation on Ecological Quality of Mountainous Areas Based on Integrated Weighting of Information Gain
文章编号:
1008-2786-(2022)5-661-9
作者:
王文滔1; 陈永刚1*; 胡俊杰2; 吴裕狄1; 张博坤2
(1.浙江农林大学 环境与资源学院, 杭州 311300; 2.浙江省工程物探勘察设计院有限公司, 杭州 310005)
Author(s):
WANG Wentao1;  CHEN Yonggang1*;  HU Junjie2;  WU Yudi1;  ZHANG Bokun2
(1. College of Environmental and Resource Sciences, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China; 2. Zhejiang Engineering Geophysical Prospecting and Design Institute Co., Ltd., Hangzhou 310005, China)
关键词:
生态质量评价;  权重确定;  信息熵;  信息增益
Keywords:
ecological quality assessment;  weight determination;  information entropy;  information gain
分类号:
X826
DOI:
10.16089/j.cnki.1008-2786.000701
文献标志码:
A
摘要:
生态环境与经济发展密切相关,客观准确地评价生态质量对区域生态整治以及资源的合理开发利用具有重要意义。已有研究针对生态质量的相关评价多以主观赋权法和客观赋权法进行评价,忽略了生态环境因子主客观因素之间的内在关系,其结果具有局限性。本文以选取坡度、土壤侵蚀强度、地形湿度指数、归一化植被指数等6项生态指标因子,提出一种基于信息熵、信息增益理论和数据先验知识综合加权的生态质量评价方法,并以陕西省北部黄土高原地区进行了实例研究。结果表明:(1)研究区生态质量等级为一般的范围最大,主要集中在黄土高原北部地区,面积占比约为63.50%,该区域峁梁起伏、沟壑纵横、土壤侵蚀严重、植被分布较少。(2)研究区6项生态指标因子权重占比分别为土壤侵蚀强度24.65%、地形坡度20.37%、年日照总时数16.82%、地形湿度指数15.78%、植被净初级生产力14.89%、归一化植被指数7.49%。(3)本文提出的信息增益综合加权法,具有能够充分利用数据先验知识、适用于多种数据类型、算法稳定的特点。本研究可为山地生态质量评价和生态保护规划提供科学理论参考。
Abstract:
Eco-environment has close connection with economic development. An objective and accurate evaluation of environmental quality contributes to the improvement of the ecology on a regional scale and facilitates the rational development and utilization of local resources.
Most assessments related to ecological quality were completed based on the subjective weight determination method and the objective weight determination method. However, the intrinsic links between the subjective and objective aspects of environmental factors are not included in the assessment, making their conclusions not comprehensive.
In this study, six ecological factors, including slope, soil erosion intensity(SEI), topographic wetness index(TWI), and normalized difference vegetation index(NDVI)were selected for constituting an improved model to evaluate environmental quality on a region basis for the Loess Plateau in northern Shaanxi province, China. In the model, the weight of each index was properly determined by a combination of a priori knowledge and information gain theory.
The following results are obtained:(1)The region with average ecological quality was mainly concentrated in the northern part of the Loess Plateau, with an area percentage of about 63.50% and the largest range. This region had undulating mountains and ravines, severe soil erosion and less vegetation distribution.(2)The weight coefficients for the six ecological factors of the study area were 24.65% for the soil erosion intensity(SEI), 20.37% for the terrain slope, 16.82% for the annual illuminate duration(AID), 15.78% for the topographic wetness index(TWI), 14.89% for the net primary productivity(NPP), and 7.49% for the normalized difference vegetation index(NDVI).(3)The improved model constructed based on the integrated information gain weighting method proposed in this paper was stable and feasible, which could make full use of the prior knowledge of the data, and be applied to multiple data types. This research can provide a scientific and theoretical reference for ecological quality evaluation and ecological conservation planning in mountainous areas.

参考文献/References:

[1] 宋静,王会肖,王飞. 生态环境质量评价研究进展及方法评述[J]. 环境科学与技术,2013, 36(S2):448-453. [SONG Jing, WANG Huixiao, WANG Fei. Research progress of ecological environment quality assessment and methods review [J]. Environmental Science and Technology, 2013, 36(S2):448-453] DOI: 10.3969/j.issn.1003-6504.2013.12M.094
[2] 范德芹,邱玥,孙文彬,等. 基于遥感生态指数的神府矿区生态环境评价[J]. 测绘通报,2021, 67(7):23-28. [FAN Deqin, QIU Yue, SUN Wenbin, et al. Evaluating ecological environment based on remote sensing ecological index in Shenfu mining area [J]. Bulletin of Surveying and Mapping, 2021, 67(7):23-28] DOI: 10.13474/j.cnki.11-2246
[3] 夏兴生,朱秀芳,李月臣,等. 基于AHP-PCA熵组合权重模型的三峡库区(重庆段)农业生态环境脆弱性评价[J]. 南方农业学报,2016, 47(4):548-556. [XIA Xingsheng, ZHU Xiufang, LI Yuechen, et al. Evaluation for vulnerability of agroecological environment in Three Gorges Reservoir area(Chongqing section)based on AHP-PCA entropy combination weight mode [J]. Journal of Southern Agriculture, 2016,47(4):548-556] DOI: 10.3969/j:issn.2095-1191.2016.04.548
[4] 王欣,赵其华,张朝俊,等. 基于组合权重的金阳县生态地质环境承载力评价[J]. 水利与建筑工程学报,2019, 17(6):29-35. [WANG Xin, ZHAO Qihua, ZHANG Chaojun, et al. Ecological geological environment carrying capacity evaluation of Jinyang county based on combined weight method [J]. Journal of Water Resources and Architectural Engineering, 2019,17(6):29-35] DOI: 10.3969/j.issn.1672-1144.2019.06.005
[5] 朱涛,卢旺林,张丹,等. 改进群组AHP-FCE法对路域的生态环境影响评价研究——以河南省栾川至卢氏高速公路为例[J]. 环境与发展,2020, 32(2):6-8. [ZHU Tao, LU Wanglin, ZHANG Dan, et al. Research on ecological environment impact assessment based on improved group AHP-FCE method: A case of the highway from the Luanchuan to Lushi of He'nan province [J]. Environment and Development, 2020, 32(2):6-8] DOI: 10.16647/j.cnki.cn15-1369/X.2020.02.003
[6] 郭凯歌,王向东,殷小琳. 基于组合赋权的水土保持生态效应定量评价模型[J]. 中国农村水利水电,2017, 59(7):75-78. [GUO Kaige, WANG Xiangdong, YIN Xiaolin. Quantitative evaluation model of the ecological effect of soil and water conservation by combination weighting [J]. China Rural Water and Hydropower, 2017, 59(7):75-78]
[7] 任纪安,方瑶,简季,等. 基于主客观赋权法的城市生态环境评价[J]. 人民长江,2019, 50(10):80-85. [REN Ji'an, FANG Yao, JIAN Ji, et al. Urban ecological environment assessment based on subjective and objective weighting method [J]. Yangtze River, 2019, 50(10):80-85] DOI: 10.16232/j.cnki.1001-4179.2019.10.015
[8] 魏伟,石培基,周俊菊, 等. 基于GIS和组合赋权法的石羊河流域生态环境质量评价[J]. 干旱区资源与环境,2015, 29(1):175-180. [WEI Wei, SHI Peiji, ZHOU Junju, et al. Comprehensive assessment of eco-environmental quality based on GIS and combination weighting method in Shiyang river basin [J]. Journal of Arid Land Resources and Environment, 2015, 29(1):175-180] DOI: 10.13448/j.cnki.jalre.2015.031
[9] 杨宇. 多指标综合评价中赋权方法评析[J]. 统计与决策,2006, 22(13):17-19. [YANG Yu. Evaluation and analysis of weight assignment method in multi — index comprehensive evaluation [J]. Statistics and Decision, 2006,22(13):17-19] DOI: 10.13546/j.cnki.tjyjc.2006.13.010
[10] 王哲,易发成. 基于层次分析法的绵阳市地质灾害易发性评价[J]. 自然灾害学报,2009, 18(1):14-23. [WANG Zhe, YI Facheng. AHP-based evaluation of occurrance easiness of geological disasters in Mianyang city [J]. Journal of Natural Disasters, 2009, 18(1):14-23] DOI: 10.13577/j.jnd.2009.0103
[11] HE Fuhong, GU Lijuan, WANG Tao, et al. The synthetic geo-ecological environmental evaluation of a coastal coal-mining city using spatiotemporal big data: A case study in Longkou, China [J]. Journal of Cleaner Production, 2016, 142(P2):1-13. DOI: 10.1016/j.jclepro.2016.07.011
[12] 李艳双,曾珍香,张闽,等. 主成分分析法在多指标综合评价方法中的应用[J]. 河北工业大学学报,1999, 83(1):96-99. [LI Yanshuang, ZENG Zhenxiang, ZHANG Min, et al. Application of primary component analysis in the methods of comprehensive evaluation for many indexes [J]. Journal of Hebei University of Technology, 1999, 83(1):96-99] DOI: 10.14081/j.cnki.hgdxb.1999. 01.022
[13] XIAO Wu, LYU Xuejiao, ZHAO Yanling, et al. Ecological resilience assessment of an arid coal mining area using index of entropy and linear weighted analysis: A case study of Shendong Coalfield, China [J]. Ecological Indicators, 2020,109:105843. DOI: 10.1016/j.ecolind. 2019. 105843
[14] DING Xiaowen, CHONG Xiao, BAO Zhengfeng, et al. Fuzzy comprehensive assessment method based on the entropy weight method and its application in the water environmental safety evaluation of the Heshangshan drinking water source area, Three Gorges Reservoir Area, China [J]. Water, 2017,9(5):329. DOI: 10.3390/w9050329
[15] 熊俊楠,曹依帆,孙铭,等. 基于GIS和熵权法的滑坡作用下的长输油气管道易损性评价[J]. 山地学报,2020,38(5):717-725. [XIONG Junnan, CAO Yifan, SUN Ming, et al. Vulnerability evaluation of long-distance oil and gas pipelines under landslide actions based on GIS and entropy weight method [J]. Mountain Research, 2020,38(5):717-725] DOI: 10.16089/j.cnki.1008-2786.000549
[16] 刘金鹏,蓝永超,高世铭,等. 基于熵权的改进可拓方法在泥石流危险性评价中的应用[J]. 山地学报,2015, 33(4):496-502. [LIU Jinpeng, LAN Yongchao, GAO Shiming, et al. Application of entropy-weight and improved extension method to debris flow risk assessment [J]. Mountain Research, 2015,33(4):496-502] DOI: 10.16089/j.cnki.1008-2786.000062
[17] 山成菊,董增川,樊孔明,等. 组合赋权法在河流健康评价权重计算中的应用[J]. 河海大学学报(自然科学版),2012, 40(6):622-628. [SHAN Chengju, DONG Zengchuan, FAN Kongming, et al. Application of combination weighting method to weight calculation in river health evaluation [J]. Journal of Hohai University(Natural Sciences), 2012, 40(6):622-628] DOI: 10.3876/j.issn.1000-1980.2012.06.005
[18] LI Zhiming, FAN Zhengxi, SHEN Shiguang. Urban green space suitability evaluation based on the AHP-CV combined weight method: A case study of Fuping county, China [J]. Sustainability, 2018, 10(8): 2656. DOI: 10.3390/su10082656
[19] 张鹄志,马传明,王江思. 基于层次分析—熵权法的中原城市群生态环境评价[J]. 安全与环境工程,2014, 21(1):87-92. [ZHANG Huzhi, MA Chuanming, WANG Jiangsi. Eco-environment condition assessment of urban agglomeration in the central plain based on AHP-Entropy method [J]. Safety and Environmental Engineering, 2014, 21(1):87-92] DOI: 10.13578/j.cnki.issn.1671-1556.2014.01.022
[20] 王龙,徐刚. 基于“综合赋权”复合模糊物元的重庆市综合灾害模糊风险评价[J]. 山地学报,2015, 33(3):356-364. [WANG Long, XU Gang, Fuzzy integrated disaster risk assessment based on comprehensive empowermental fuzzy matter element model in Chongqing, China [J]. Mountain Research, 2015, 33(3):356-364] DOI: 10.16089/j.cnki.1008-2786.000045
[21] SHANNON C E. A mathematical theory of communication [J]. Bell Systems Technical Journal, 1948, 27(4):623-656. DOI: 10.1002/j.1538-7305. 1948. tb00917.x
[22] REINEKING T. Active classification using belief functions and information gain maximization [J]. International Journal of Approximate Reasoning, 2016, 72:43-54. DOI: 10.1016/j.ijar.2015.12.005
[23] 段薇,马丽,路向阳. 基于信息增益和最小距离分类的决策树改进算法[J]. 科学技术与工程,2013, 13(6):1643-1646+1652. [DUAN Wei, MA Li, LU Xiangyang. An improved algorithm of decision tree based on information gain and minimum distance classification [J]. Science Technology and Engineering, 2013, 13(6):1643-1646+1652] DOI: 10.3969/j.issn.1671-1815.2013.06.049
[24] 刘庆和,梁正友. 一种基于信息增益的特征优化选择方法[J]. 计算机工程与应用,2011, 47(12):130-132+136. [LIU Qinghe, LIANG Zhengyou. Optimized approach of feature selection based on information gain [J]. Computer Engineering and Applications, 2011, 47(12):130-132+136] DOI: 10.3778/j.issn.1002-8331.2011.12.037
[25] 孟岩,赵庚星. 基于卫星遥感数据的河口区生态环境状况评价——以黄河三角洲垦利县为例[J]. 中国环境科学,2009, 29(2):163-167. [MENG Yan, ZHAO Gengxing. Ecological environment condition evaluation of estuarine area based on quantitative remote sensing — a case study in Kenli county [J]. China Environmental Science, 2009, 29(2):163-167] DOI: 10.3321/j.issn:1000-6923.2009.02.010
[26] 中华人民共和国水利部. 土壤侵蚀分类分级标准:SL190-2007 [S], 2008. [Ministry of Water Resources of the People's Republic of China. Standards for classification and gradation of soil erosion: SL190-2007 [S], 2008]

备注/Memo

备注/Memo:
收稿日期(Received date): 2021-08-26; 改回日期(Accepted date):2022-08-15
基金项目(Foundation item): 浙江省自然科学基金(LY16D010009)。[Natural Science Foundation of Zhejiang Province of China(LY16D010009)]
作者简介(Biography): 王文滔(1997-),男,安徽宿州人,硕士研究生,主要研究方向:森林资源遥感监测与信息技术研究。[WANG Wentao(1997-), male, born in Suzhou, Anhui province, M.Sc. candidate, research on remote sensing monitoring of forest resources and information technology] E-mail: wangwentao_sz@163.com
*通讯作者(Corresponding author): 陈永刚(1980-),男,博士,副教授,主要研究方向:地理信息技术与空间分析方法、林业资源管理。[CHEN Yonggang(1980-), male, Ph.D., associate professor, research on geographic information technology and spatial analysis methods, forestry resource management] E-mail: cyg_gis@163.com
更新日期/Last Update: 2022-10-30