吉林大学学报(地球科学版) ›› 2021, Vol. 51 ›› Issue (2): 533-542.doi: 10.13278/j.cnki.jjuese.20190172

• 地质工程与环境工程 • 上一篇    

国产高分影像在矿业城市生态安全性评价中的应用——以黑龙江省七台河市为例

丁宇雪1, 周向斌2, 初炜钰3, 毛龙1, 孙迪4, 孙瑞棋4   

  1. 1. 黑龙江省地质调查研究总院, 哈尔滨 150036;
    2. 黑龙江省地质科学研究所, 哈尔滨 150036;
    3. 哈尔滨工程大学核科学与技术学院, 哈尔滨 150020;
    4. 黑龙江地理信息工程院, 哈尔滨 150081
  • 收稿日期:2019-08-28 发布日期:2021-04-06
  • 作者简介:丁宇雪(1977-),女,高级工程师,主要从事遥感地质学与生态环境保护学方面的研究,E-mail:147408823@qq.com
  • 基金资助:
    中国地质调查局项目(DD20190705,DD20190511,121201003000150010)

Application of High Resolution Remote Sensing Images in Ecological Safety Assessment of Mining Cities in China: An Example of Qitaihe County in Heilongjiang Province

Ding Yuxue1, Zhou Xiangbin2, Chu Weiyu3, Mao Long1, Sun Di4, Sun Ruiqi4   

  1. 1. Heilongjiang Institute of Geological Survey, Harbin 150036, China;
    2. Heilongjiang Geological Science Institute, Harbin 150036, China;
    3. School of Nuclear Science and Technology, Harbin Engineering University, Harbin 150020, China;
    4. Heilongjiang Geographic Information Engineering Institute, Harbin 150081, China
  • Received:2019-08-28 Published:2021-04-06
  • Supported by:
    Supported by the Project of China Geological Survey(DD20190705,DD20190511,121201003000150010)

摘要: 为了实现矿业城市生态安全性评价,利用BJ2、GF1、ZY3等国产高分辨率卫星影像数据,采用遥感技术手段,基于GIS平台,构建景观安全评价体系。通过获取2017年度研究区内各土地资源类型分布现状数据,进行景观指数(破碎度、分离度、优势度、干扰度、脆弱度、生态风险度)计算,逐网格剖析后采用普通Kriging插值法(半变异函数)对研究区域的景观生态安全度进行定量分析与评价。结果表明:研究区内大部分地区景观生态安全处于中、中高和高水平,面积为538 951.58 hm2,占研究区面积的86.75%,呈现由矿产资源集中开采区向其外部、平原区向低山丘陵区安全等级逐渐升高,生态环境逐渐转好的趋势;低、中低安全区总面积为82 342.18 hm2,占研究区面积的13.25%,景观生态安全仍存在较大问题,需引起地方政府关注。

关键词: 国产高分影像, 矿产资源开发, 生态安全评价, 黑龙江省七台河市

Abstract: In order to assess the ecological safety of mining cities, by using domestic high-resolution satellite image data such as BJ2, GF1, ZY3 and remote sensing technology, the landscape safety evaluation system was constructed based on a GIS platform. The distribution status data of various natural resources and terrain factors in the study area in 2017 were obtained to calculate various landscape indexes(fragmentation index,splitting index,landscape dominance index,disturbance degree,vulnerable degree, and ecological risk). After grid analysis, the general Kriging interpolation method (semi-variogram implicit function) was used to quantitatively analyze and evaluate the landscape safety index of the whole research area. The results show that the landscape ecological security is at the middle and high level in most parts of this area, which is 538 951.58 hm2, accounting for 86.75% of the total landscape. From the mining concentrated area to its exterior plains, low mountains,and hilly areas, the ecological environment is gradually improving, as shown by the upward trend of the security level. The total area of the low, middle and low security areas in the study area is 82 342.18 hm2, accounting for 13.25% of the land area; Its landscape ecological security is still a big issue and needs the attention of local governments.

Key words: high resolution satellite images of China, exploitation of mineral resources, evaluation on ecological security, Qitaihe County in Heilongjiang Province

中图分类号: 

  • X87
[1] 于博文,田淑芳,赵永超,等.高分一号卫星在京津矿山遥感监测中的应用[J].现代地质,2017,31(4):843-850. Yu Bowen,Tian Shufang,Zhao Yongchao,et al. Application of GF-1 Satellite in Remote Sensing Monitoring on Mine Exploitation in Beijing and Tianjin[J]. Geoscience,2017,31(4):843-850.
[2] 杨显华,黄洁,田立,等.基于高分辨率遥感数据的矿山环境综合治理研究:以冕宁牦牛坪稀土矿为例[J].国土资源遥感,2015,27(4):115-121. Yang Xianhua,Huang Jie,Tian Li,et al. A Discussion on Comprehensive Governance of Mine Environment Based on High Resolution Remote Sensing Data:A Case of Maoniuping REE Deposit,Mianning County[J]. Remote Sensing for Land and Resources,2015,27(4):115-121.
[3] 王立娟,靳晓,贾虎军,等.基于国产高分卫星数据的矿山环境变化检测[J].国土资源遥感,2018,30(3):151-158. Wang Lijuan,Jinxiao,Jia Hujun,et al. Change Detection for Mine Environment Based on Domestic High Resolution Satellite Images[J].Remote Sensing for Land and Resources,2018,30(3):151-158.
[4] 第二次全国土地调查技术规程:TD/T 1014-2007[S].北京:中国标准出版社,2007. The Second National Land Survey Technical Specification:TD/T 1014-2007[S].Beijing:Standards Press of China,2007.
[5] 仲伟敬,邢立新,潘军,等.基于DEM数据的地貌类型快速划分系统研究[J].吉林大学学报(信息科学版),2018,36(5):388-396. Zhong Weijing,Xing Lixin,Pan Jun,et al.Study on Fast Partitioning System of Geomorphic Types Based on DEM Data[J]. Journal of Jilin University (Information Science Edition),2018,36(5):388-396.
[6] 任金铜,杨可明,陈群利,等.贵州草海湿地区域土地利用景观生态安全评价[J].环境科学与技术,2018,41(5):158-165. Ren Jintong,Yang Keming,Chen Qunli,et al. Evaluationon Ecological Security of Land Use Landscape in Guizhou Caohai Wetland[J]. Environmental Science & Technology, 2018,41(5):158-165.
[7] 宋冰洁,周忠学.西安都市圈道路网络化对景观格局的影响[J].吉林大学学报(地球科学版),2017,47(5):1521-1532. Song Bingjie,Zhou Zhongxue. Influence of Road Network on Landscape Pattern in Xi'an Metropolitan Zone[J]. Journal of Jilin University(Earth Science Edition),2017,47(5):1521-1532.
[8] 裴欢,魏勇,王晓妍,等.耕地景观生态安全评价方法及其应用[J].农业工程学报,2014,30(9):212-219. Pei Huan,Wei Yong,Wang Xiaoyan,et al. Method of Cultivated Land Landscape Ecological Security Evaluation and Its Application[J]. Transactions of the Chinese Society of Agricultural Engineering,2014,30(9):212-219.
[9] 王涛,肖武,王铮,等.煤矿开采对景观格局的影响及生态风险分析[J].中国矿业,2016,25(12):71-75. Wang Tao,Xiao Wu,Wang Zheng,et al. Analysis of the Influence of Coal Mining on Landscape Pattern and Ecological Risk[J]. China Mining Magazine,2016,25(12):71-75.
[10] 冯萤雪,史芳,曹颖.矿业棕地公园生态安全格局建构与评价分析[J].哈尔滨工业大学学报,2017,49(10):177-181. Feng Yingxue,Shi Fang,Cao Ying. Ecological Security Pattern Tectonics and Evaluation Analysis of Mining Brownfield Parks[J]. Journal of Harbin Institute of Technology,2017,49(10):177-181.
[11] 索新文,陈果,卜璞.基于3S的矿区景观格局演变研究:以冷水江市闪星锡矿山为例[J].中国矿业,2018,27(1):95-99. Suo Xinwen,Chen Guo,Bu Pu. Study on the Landscape Pattern Evolution of Mining Area Based on 3S Technology[J]. China Mining Magazine, 2018,27(1):95-99.
[12] 武慧智,姜琦刚,李远华,等.松嫩流域湿地景观动态变化[J].吉林大学学报(地球科学版),2015,45(1):327-334. Wu Huizhi,Jiang Qigang,Li Yuanhua,et al. Dynamic Change of Wetland Landscape Pattern in Songhuajiang-Nenjiang River Basin[J]. Journal of Jilin University(Earth Science Edition),2015,45(1):327-334.
[13] 刘春艳,张科,刘吉平.1976-2013年三江平原景观生态风险变化及驱动力[J].生态学报,2018,38(11):3729-3740. Liu Chunyan,Zhang Ke,Liu Jiping. A Longterm Site Study for the Ecological Risk Migration of Landscapes and Its Driving Forces in the Sanjiang Plain from 1976 to 2013[J]. Acta Ecologica Sinica,2018,38(11):3729-3740.
[14] 刘舒,姜琦刚,朱航,等.基于Hyb-F组合滤波算法的向海自然保护区NDVI时间序列重构[J].吉林大学学报(工学版),2018,48(3):957-967. Liu Shu,Jiang Qigang,Zhu Hang,et al.Reconstruction of Landsat NDVI Time Series of Xianghai Natural Deserve Based on a Hybrid Filtering Algorithm Hyb-F[J]. Journal of Jilin University(Engineering and Technology Edition),2018,48(3):957-967.
[15] 李昭阳,张楠,汤洁,等.吉林省煤矿区景观生态风险分析[J].吉林大学学报(地球科学版),2011,41(1):207-214. Li Zhaoyang,Zhang Nan,Tang Jie,et al. Analysis on the Landscape Ecological Risk of Jilin Coal Mining Area[J]. Journal of Jilin University(Earth Science Edition),2011,41(1):207-214.
[16] 丁宇雪,毛龙,周向斌,等. 基于高分影像的松嫩低平原地区生态环境问题解析:以黑龙江省肇源县为例[J].吉林大学学报(地球科学版),2020,50(4):1240-1248. Ding Yuxue,Mao Long,Zhou Xiangbin,et al. Analysis of Eco-Environmental Problems in Songnen Low Plain Based on High-Score Image:A Case Study of Zhaoyuan County of Heilongjiang Province[J]. Journal of Jilin University(Earth Science Edition),2020,50(4):1240-1248.
[1] 丁宇雪, 毛龙, 周向斌, 初炜钰. 基于高分影像的松嫩低平原地区生态环境问题解析——以黑龙江省肇源县为例[J]. 吉林大学学报(地球科学版), 2020, 50(4): 1240-1248.
[2] 唐菲, 徐涵秋. 城市不透水面与地表温度定量关系的遥感分析[J]. 吉林大学学报(地球科学版), 2013, 43(6): 1987-1996.
[3] 王星东,李新武,熊章强,梁雷. 基于改进的交叉极化比率算法的南极冻融探测[J]. 吉林大学学报(地球科学版), 2013, 43(1): 306-311.
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