基于空间信息技术的县域生态环境监测与评价
作者:
中图分类号:

X821, X835

基金项目:

河北省省级科技计划资助项目“‘双碳’目标下空间信息技术驱动的生态环境监测及精准保护对策研究”(22554202D)


County Scale Ecological Environmental Monitoring and Evaluation Based on Spatial Information Technology
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [28]
  • |
  • 相似文献 [20]
  • | | |
  • 文章评论
    摘要:

    [目的] 探究生态环境监测数据精准获取方法,构建生态环境质量评价指标体系,为生态环境精准保护提供科学依据。 [方法] 基于多源遥感影像数据,利用InVEST模型、裸土植被指数模型、综合指数法等多种模型与方法,从生态系统质量、生态系统服务、生境压力和环境质量4项一级指标及植被覆盖度、固碳能力、道路压力指数、霾指数等14项二级指标分析河北省阜平县生态环境质量。[结果] ①生态系统质量一般和较差区分布最广,集中在东部水库区和西部中山、低山区。 ②生态系统服务较差区面积最大,主要分布在县中部和东部。 ③生境压力较差区比例最高,以未利用地为主。 ④环境质量为良的区域在全域均有大面积分布。 ⑤阜平县生态环境质量整体较好,一般区广泛分布,占总面积的77.04%,主要为耕地、草地和未利用地。 [结论] 基于空间信息技术与多源遥感数据的生态环境监测与评价方法可以快速、有效地反映县域生态环境质量。

    Abstract:

    [Objective] An accurate acquisition method for ecological environmental monitoring data was studied to construct an evaluation index system of ecological environmental quality in order to provide a basis for precise protection of the ecological environment. [Methods] We used a variety of models and methods (such as the InVEST model, a bare soil vegetation index model, and a comprehensive index method) based on multi-source remote sensing image data. An eco-environmental quality index system was constructed that included four first-level indicators (ecosystem quality, ecosystem services, habitat pressure, and environmental quality) and 14 second-level indicators (such as vegetation cover, carbon sequestration capacity, road pressure index, and haze index) to analyze the ecological environmental quality of Fuping County, Hebei Province. [Results] ① The general and poor ecosystem quality areas were the most widely distributed, and were concentrated in the reservoir area in the east and in the middle and low mountain areas in the west. ② The areas with poor ecosystem services were the largest, and were concentrated in the central and eastern parts of the county. ③ The proportion of areas with poor habitat pressure was the highest, and the area was mainly unused land. ④ The area with good environmental quality was widely distributed over the entire region. ⑤ The eco-environmental quality in Fuping County was generally good, and the general quality area was widely distributed, accounting for 77.04% of the total area, comprised mainly of cultivated land, grassland, and unused land. [Conclusion] The ecological environmental monitoring and evaluation method based on spatial information technology and multi-source remote sensing data can quickly and effectively reflect the county eco-environmental quality.

    参考文献
    [1] 黄贤金,张秀英,卢学鹤,等.面向碳中和的中国低碳国土开发利用[J].自然资源学报,2021,36(12):2995-3006.
    [2] 马莉娟,付强,姚雅伟.我国环境监测方法标准体系的现状与发展构想[J].中国环境监测,2018,34(5):30-35.
    [3] Thompson M A. Determining impact significance in EIA: A review of 24 methodologies [J]. Journal of Environmental Management, 1990, 30(3): 235-250.
    [4] Janssen R, Arciniegas G A, Verhoeven J T A. Spatial evaluation of ecological qualities to support interactive land-use planning [J]. Environment and Planning B: Urban Analytics and City Science, 2013,40(3):427-446.
    [5] 曹文杰,辛瑞瑞,聂国良,等.县级生态环境监测机构监测能力现代化建设的思考[J].环境保护,2022,50(9):68-70.
    [6] 代云豪,管瑶,刘孟琴,等.1990—2020年阿拉尔垦区生态环境质量动态监测与评价[J].水土保持通报,2022,42(2):122-128.
    [7] 张京生,郜梦妍,张煜森,等.黄河湿地国家级自然保护区人类干扰对生境质量的影响及空间优化策略[J].水土保持通报,2022,42(5):140-150.
    [8] 李海龙,于立.中国生态城市评价指标体系构建研究[J].城市发展研究,2011,18(7):81-86,118.
    [9] 彭涛,陈晓宏,王高旭,等.基于集对分析与三角模糊数的滨海湿地生态系统健康评价[J].生态环境学报,2014,23(6):917-922.
    [10] Karr J R. Assessment of biotic integrity using fish communities [J]. Fisheries, 1981,6(6):21-27.
    [11] 王桥,赵少华,封红娥,等.国家城镇生态环境综合监测技术体系构建[J].地球信息科学,2020,22(10):1922-1934.
    [12] Ma Jiaojiao, Niu Anyi, Chen Zhiyun. Evaluation of natural ecological environment in Guangzhou City based on remote sensing technology and comprehensive index method [J]. Journal of Landscape Research, 2016,8(3):79-82.
    [13] 都耀庭.聚类分析法在高寒草甸生态系统健康评价中的应用[J].土壤通报,2014,45(2):307-313.
    [14] Cheng Wenju, Xi Haiyang, Sindikubwabo C, et al. Ecosystem health assessment of desert nature reserve with entropy weight and fuzzy mathematics methods: A case study of Badain Jaran Desert [J]. Ecological Indicators, 2020,119:106843.
    [15] 李洪义,史舟,沙晋明,等.基于人工神经网络的生态环境质量遥感评价[J].应用生态学报,2006,17(8):1475-1480.
    [16] 欧阳玲,马会瑶,王宗明,等.基于遥感与地理信息数据的科尔沁沙地生态环境状况动态评价[J].生态学报,2022,42(14):1-16.
    [17] 陈元鹏,任佳,王力.基于多源遥感数据的生态保护修复项目区监测方法评述[J].生态学报,2019,39(23):8789-8797.
    [18] 王媛,杜明义,杨柳忠,等.多源遥感数据支持下的城市生态状况评价[J].测绘通报,2021,46(6):16-20.
    [19] 孙建欣,李成芳,雷云龙,等.生态环境多源卫星遥感数据传输系统设计与实现[J].环境与可持续发展,2021(11):16-20.138-142.
    [20] Shao Quanqin, Cao Wei, Fan Jiangwen, et al. Effects of an ecological conservation and restoration project in the Three-River Source Region, China [J]. Journal of Geographical Sciences, 2017,27(2):183-204.
    [21] 王军,朱凤敏,杨丹.基于地表覆被变化检测的县域生态环境质量考核生态监测研究[J].测绘与空间地理信息,2018,41(12):54-60.
    [22] 中华人民共和国环境保护部. HJ 192-2015 生态环境状况评价技术规范[S].北京:中国环境科学出版社,2015.
    [23] Sharp R, Douglass J, Wolny S, et al. InVEST 3.9.0 User’s Guide [M]. Stanford: The Natural Capital Project, 2020.
    [24] 包玉斌,李婷,柳辉,等.基于InVEST模型的陕北黄土高原水源涵养功能时空变化[J].地理研究,2016,35(4):664-676.
    [25] 冯海霞,冯海英,杨立才,等.一种基于Landsat 8的城区空气质量监测方法[J].环境污染与防治,2021(1):79-83,90.
    [26] 王军战,鲍艳松,张友静,等. K-T变换在监测小麦地表参数中的应用[J].地理与地理信息科学,2010(3):29-32.
    [27] 焦立新.评价指标标准化处理方法的探讨[J].安徽农业技术师范学院学报,1999,13(3):9-12.
    [28] 张美丽,李智,张益琛,等.基于生态安全格局的国土空间生态修复关键区域识别:以河北省阜平县为例[J].水土保持研究,2021,28(3):299-307.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

何玲,杜哲.基于空间信息技术的县域生态环境监测与评价[J].水土保持通报,2023,43(2):129-138

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2022-07-28
  • 最后修改日期:2022-08-28
  • 在线发布日期: 2023-06-01