An assessment framework for water ecological space health in Beijing based on remote sensing
- Pages: 1-11(2024)
Published Online: 16 January 2024
DOI: 10.11834/jrs.20243340
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Published Online: 16 January 2024 ,
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陶果丰,薛万来,袁博,李添雨,李文忠,李杰,赵琳琳,崔宇然,徐为业,魏香琴,贾坤.XXXX.北京市水生态空间健康遥感评价体系.遥感学报,XX(XX): 1-11
TAO Guofeng,XUE Wanlai,YUAN Bo,LI Tianyu,LI Wenzhong,LI Jie,ZHAO Linlin,CUI Yuran,XU Weiye,WEI Xiangqin,JIA Kun. XXXX. An assessment framework for water ecological space health in Beijing based on remote sensing. National Remote Sensing Bulletin, XX(XX):1-11
科学合理地评价水生态空间健康状况,对于保护水生态系统的核心结构和服务功能具有重要意义。目前,区域水生态空间的综合性评价研究较少,且评价指标体系存在指标类型单一、受限于地面观测等问题。因此,本研究基于遥感视角,构建了全方位涵盖生态空间物理结构、水文水质要素、陆域岸线植被要素的北京市水生态空间健康评价指标体系。同时,综合层次分析法与熵权法开展主客观结合的指标赋权,创建了水生态空间健康遥感评价体系,并基于综合评价指数将水生态空间分为健康、良好、一般、较差四个等级。本研究以北京市永定河、潮白河、昆明湖、密云水库等十个典型水体为例,开展了综合性的水生态空间健康评价,结果表明:(1)评价体系能够合理评价水生态空间健康状况,其中水文水质要素对水生态空间健康影响最大,陆域岸线植被要素次之,生态空间物理结构影响最小;(2)北京市十个典型水体中,永定河、圆明园湖的水生态空间健康评价等级为良好,其余水体为健康,建议未来对永定河、圆明园湖开展针对性的生态修复。
(Objective)
2
Water is the source of life
and its ecological problems have been widely concerned. The emergence of water ecological problems is not only related to the water body itself
but also closely related to the structure and function of ecosystem. Therefore
to evaluate and alleviate water ecological problems
it is necessary to systematically consider the status of ecological storeroom of water from the perspective of whole ecosystem. Water ecological space is a variety of ecological spaces that includes water space such as rivers and lakes
shoreline space connecting water and land
and land space closely related to water resources protection
which can reflect the overall situation of ecosystem related to water. Therefore
assessing the health condition of water ecological space is of great significance for preserving the core structure and functions of water ecosystem. However
there is a lack of studies on the comprehensive assessment of water ecological space
and the related assessment index systems are subject to ground observations and limited indicator categories. Therefore
the objective of this study is to develop a comprehensive water ecological space health assessment framework based on remote sensing for Beijing.
(Method)
2
The proposed framework consists of eleven assessment indicators covering the physical structure of ecological space
the hydrology and water quality condition
and the vegetation factors on land
which are extracted from remote sensing data with high spatial resolution. A water ecological space health index (WESHI) is established by integrating the eleven indicators with weights assigned by the combination of analytical hierarchy process (subjectivity) and entropy weighting method (objectivity). The states of water ecological spaces are divided into four levels (healthy
good
moderate
poor) based on WESHI. Then
ten typical water bodies in Beijing
including sources of surface water
landscape lakes
and rivers flowing through suburbs or urban areas
are selected as examples to apply the proposed comprehensive water ecological space health assessment framework.
(Result)
2
The weights of the assessment indicators demonstrate that the hydrology and water quality factors are the dominant drivers for the health of water ecological space
followed by the vegetation factors on land
while the physical structure of ecological space has least impact. The assessment results of the selected ten water ecological spaces in Beijing indicate: Tang River and Yongding River obtains the highest and lowest WESHI among rivers respectively; The WESHI of Kunming Lake is slightly better than that of the Yuanmingyuan Lake; Miyun Reservoir has a higher WESHI than Huairou Reservoir. Among the ten typical water bodies in Beijing
the water ecological spaces of Yongding River and Yuanmingyuan Lake are in good status
and the others are all at the healthy level. These results are consistent with the actual situations.
(Conclusion)
2
The proposed assessment framework can reasonably evaluate the health status of water ecological space in Beijing. Compared with the traditional methods that relies on manual investigation
the proposed assessment framework based on remote sensing can assess the health status of water ecological space more quickly
comprehensively and objectively. Moreover
based on the assessment results
targeted ecological restoration is recommended for Yongding River and Yuanmingyuan Lake in future efforts.
遥感水生态空间健康评价评价体系指标赋权北京市北京二号综合评价指数构建
remote sensingwater ecological spacehealth assessmentassessment frameworkindex weightingBeijingBeijing-2 Satellitecomprehensive assessment index construction
Bai Y, Li S, Liu M and Guo Q. 2022. Assessment of vegetation change on the Mongolian Plateau over three decades using different remote sensing products. Journal of Environmental Management, 317: 115509 [DOI: 10.1016/j.jenvman.2022.115509http://dx.doi.org/10.1016/j.jenvman.2022.115509]
Bo L M, Wei W, Yin L, Zhao L and Xia J N. 2023a. Evolution characteristics and influencing factors of hydro-ecological space pattern in the Yangtze River Economic Belt from 2000 to 2020. China Environmental Science, 43(2): 874-885
薄立明, 魏伟, 尹力, 赵浪, 夏俊楠. 2023a. 2000~2020年长江经济带水生态空间格局变化及其影响要素. 中国环境科学, 43(2): 874-885 [DOI: 10.19674/j.cnki.issn1000-6923.20220915.010http://dx.doi.org/10.19674/j.cnki.issn1000-6923.20220915.010]
Bo L M, Wei W, Zhao L, Yin L and Xia J N. 2023b. Spatial and temporal evolution characteristics and the driving mechanism of water eco-space in the Tibetan Plateau. Advances in Earth Science, 38(4): 401-413
薄立明, 魏伟, 赵浪, 尹力, 夏俊楠. 2023b. 青藏高原水生态空间格局时空演化特征及驱动机制. 地球科学进展, 38(4): 401-413 [DOI: 10.11867/j.issn.1001-8166.2023.014http://dx.doi.org/10.11867/j.issn.1001-8166.2023.014]
Chawla I, Karthikeyan L and Mishra A K. 2020. A review of remote sensing applications for water security: Quantity, quality, and extremes. Journal of Hydrology, 585: 124826 [DOI: 10.1016/j.jhydrol.2020.124826http://dx.doi.org/10.1016/j.jhydrol.2020.124826]
Cramer W, Kicklighter D W, Bondeau A, Moore Iii B, Churkina, G, Nemry B, Ruimy A and Schloss A L. 1999. Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Global Change Biology, 5(S1): 1-15 [DOI: 10.1046/j.1365-2486.1999.00009.xhttp://dx.doi.org/10.1046/j.1365-2486.1999.00009.x]
Deng W, Yan D H, He Y and Zhang G X. 2004. Study on ecological storeroom of water in the watershed. Advances in Water Science, (3): 341-345
邓伟, 严登华, 何岩, 章光新. 2004. 流域水生态空间研究. 水科学进展, (3): 341-345
Dogliotti A I, Ruddick K G, Nechad B, Doxaran D and Knaeps E. 2015. A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waters. Remote Sensing of Environment, 156: 157-168 [DOI: 10.1016/j.rse.2014.09.020http://dx.doi.org/10.1016/j.rse.2014.09.020]
Duarte G, Segurado P, Haidvogl G, Pont D, Ferreira M T and Branco P. 2021. Damn those damn dams: Fluvial longitudinal connectivity impairment for European diadromous fish throughout the 20th century. Science of the Total Environment, 761: 143293 [DOI: https://doi.org/10.1016/j.scitotenv.2020.143293https://doi.org/10.1016/j.scitotenv.2020.143293]
Feng Q, Cheng X J, Shen X, Xiao X, Wang L H and Zhang W. 2017. Inland Riverine Turbidity Estimation for Hanjiang River with Landsat 8 OLI Imager. Geomatics and Information Science of Wuhan University, 42(5): 643-647
冯奇, 程学军, 沈欣, 肖潇, 王立辉, 张文. 2017. 利用Landsat 8 OLI进行汉江下游水体浊度反演. 武汉大学学报(信息科学版), 42(5): 643-647 [DOI: 10.13203/j.whugis20141002http://dx.doi.org/10.13203/j.whugis20141002]
Frothingham K M, Rhoads B L and Herricks E E. 2001. Stream geomorphology and fish community structure in channelized and meandering reaches of an agricultural stream. Geomorphic processes and riverine habitat, 105-117.
GAO Y T. 2014. Typical River Characterization Index Analysis and Health Assessment in Beijing. Beijing: Beijing Forestry University.
高宇婷. 2014. 北京郊区典型河流表征指标分析及其生态健康评价. 北京: 北京林业大学
Gharibi H, Mahvi A H, Nabizadeh R, Arabalibeik H, Yunesian M and Sowlat M H. 2012. A novel approach in water quality assessment based on fuzzy logic. Journal of Environmental Management, 112: 87-95 [DOI: 10.1016/j.jenvman.2012.07.007http://dx.doi.org/10.1016/j.jenvman.2012.07.007]
Gu L, Gao J R, Liu Y, Gao Y T, Qian B T and Wang Y. 2012. Assessment of river naturalness in Beijing suburb-Taking Tanghe River as an Example[J]. Bulletin of Soil and Water Conservation, 32(1): 165-170
顾岚, 高甲荣, 刘瑛, 高宇婷, 钱斌天, 王越. 2012. 北京郊区河流自然性评价——以汤河为例. 水土保持通报, 32(1): 165-170 [DOI: 10.13961/j.cnki.stbctb.2012.01.011http://dx.doi.org/10.13961/j.cnki.stbctb.2012.01.011]
Jia K, Liang S, Gu X, Baret F, Wei X, Wang X, Yao Y, Yang L and Li Y. 2016. Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data. Remote Sensing of Environment, 177: 184-191 [DOI: 10.1016/j.rse.2016.02.019http://dx.doi.org/10.1016/j.rse.2016.02.019]
Kelly E R, Cronk R, Kumpel E, Howard G and Bartram J. 2020. How we assess water safety: A critical review of sanitary inspection and water quality analysis. Science of the Total Environment, 718: 137237 [DOI: 10.1016/j.scitotenv.2020.137237http://dx.doi.org/10.1016/j.scitotenv.2020.137237]
Kumar M, Kalra N, Singh H, Sharma S, Singh Rawat P, Kumar Singh R, Kumar Gupta A, Kumar P and Ravindranath N H. 2021. Indicator-based vulnerability assessment of forest ecosystem in the Indian Western Himalayas: An analytical hierarchy process integrated approach. Ecological Indicators, 125: 107568 [DOI: 10.1016/j.ecolind.2021.107568http://dx.doi.org/10.1016/j.ecolind.2021.107568]
Li G C, Zhao H M, Wu Y, Yang B, Li L H, Zhang H, Yang Q G and Chen W. 2021. Spatiotemporal changes of key ecological and environmental parameters of Fangcheng Golden Camellia Nature Reserve in Guangxi from 2000 to 2016. Bulletin of Surveying and Mapping, (02): 13-17
李广超, 赵海盟, 伍毅, 杨彬, 李丽和, 张洪, 杨泉光, 陈伟. 2021. 2000—2016年广西防城金花茶自然保护区关键生态环境参数时空变化.测绘通报, (02): 13-17 [DOI: 10.13474/j.cnki.11-2246.2021.0035http://dx.doi.org/10.13474/j.cnki.11-2246.2021.0035]
Li R Y, Xin C L, Chen N, Xiao K W and Xin S J. 2022. Evaluation and prediction of water ecological security in Daxia River Basin on the perspective of Production-Living-Ecological Space. Water Resources and Hydropower Engineering, 53(7): 82-93
李若飏, 辛存林, 陈宁, 肖凯文, 辛顺杰. 2022. 三生空间视角下大夏河流域水生态安全评价与预测. 水利水电技术(中英文), 53(7): 82-93 [DOI: 10.13928/j.cnki.wrahe.2022.07.008http://dx.doi.org/10.13928/j.cnki.wrahe.2022.07.008]
Liu Z and Jia L. 2023. Water ecological security evaluation and diagnosis of obstacles in the Yangtze River Basin of Gansu Province from the perspective of Ecology-Life-Production space. Journal of Hydroecology, 44(2): 19-25
牛最荣, 贾玲. 2023. 三生空间角度的甘肃长江流域水生态安全评价及障碍诊断. 水生态学杂志, 44(2): 19-25 [DOI: 10.15928/j.1674-3075.202210110405http://dx.doi.org/10.15928/j.1674-3075.202210110405]
Piao S L, Fang J Y, Guo Q H. 2001. Application of CASA model to the estimation of Chinese terrestrial net primary productivity. Acta Phytoecologica Sinica, 25(3): 603-608
朴世龙, 方精云, 郭庆华. 2001. 利用CASA模型估算我国植被净第一性生产力. 植物生态学报, 25(5): 603-608
Rathi B S, Kumar P S and Vo D-V N. 2021. Critical review on hazardous pollutants in water environment: Occurrence, monitoring, fate, removal technologies and risk assessment. Science of The Total Environment, 797: 149134 [DOI: 10.1016/j.scitotenv.2021.149134http://dx.doi.org/10.1016/j.scitotenv.2021.149134]
Rhoads B L, Schwartz J S and Porter S. 2003. Stream geomorphology, bank vegetation, and three‐dimensional habitat hydraulics for fish in midwestern agricultural streams. Water Resources Research, 39(8) [DOI: 10.1029/2003WR002294]
Santos J I, Vidal T, Gonçalves F J, Castro B B and Pereira J L. 2021. Challenges to water quality assessment in Europe–Is there scope for improvement of the current Water Framework Directive bioassessment scheme in rivers?. Ecological Indicators, 121: 107030 [DOI: 10.1016/j.ecolind.2020.107030http://dx.doi.org/10.1016/j.ecolind.2020.107030]
Sun R, Pan X Y, Wang J W, Ren Y, Du P, Ma Y and Xing Y. 2021. An analysis and evaluation of ecological water replenishment benefit of Yongding River (Beijing section). China Rural Water and Hydropower, (6): 19-24
孙冉, 潘兴瑶, 王俊文, 任宇, 杜鹏, 马尧, 邢渊. 2021. 永定河(北京段)河道生态补水效益分析与方案评估. 中国农村水利水电, (6): 19-24
Tang Y, Wang Z G, Wang W Q, Huang H J and Yuan Y. 2020. Multifunctional classification of aquatic habitats for remote sensing data. Progress in Geography, 39(3): 454-460
唐寅, 王中根, 王婉清, 黄火键, 袁勇. 2020. 适用于遥感影像的水生态空间多功能分类体系研究. 地理科学进展, 39(3): 454-460 [DOI: 10.18306/dlkxjz.2020.03.010http://dx.doi.org/10.18306/dlkxjz.2020.03.010]
Wang Y S, Yu X X, He K N, Song S M, Jia G D and Huang Z Y. 2012. Ecosystem services value based on land use change in Huairou reservoir watershed. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 28(5): 246-251
王友生, 余新晓, 贺康宁, 宋思铭, 贾国栋, 黄枝英. 2012. 基于土地利用变化的怀柔水库流域生态服务价值研究. 农业工程学报, 28(5): 246-251
Yan G, Hu R, Luo J, Weiss M, Jiang H, Mu X, Xie D and Zhang W. 2019. Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives. Agricultural and Forest Meteorology, 265: 390-411 [DOI: 10.1016/j.agrformet.2018.11.033http://dx.doi.org/10.1016/j.agrformet.2018.11.033]
Yang Q, Wang X H, Zhang J Y and Zhao W. 2017. Planning based on spatial pattern of water ecology. China Water Resources, (3): 6-9
杨晴, 王晓红, 张建永, 赵伟. 2017. 水生态空间管控规划的探索. 中国水利, (3): 6-9
Yang Y P, Wang Q, Xiao Q and Wen J G. 2006. Quantitative remote sensing inversion methods of chlorophyll-a concentration in Taihu Lake based on TM. Geography and Geo-Information Science, 22(2): 5-8
杨一鹏, 王桥, 肖青, 闻建光. 2006. 基于TM数据的太湖叶绿素a浓度定量遥感反演方法研究. 地理与地理信息科学, 22(2): 5-8
Yu K J, Wang C L, Li D H, Yuan H, Li W H and Hong M. 2019. The concept,methodology and a case study in defining the ecological redline for the hydroecological space. Acta Ecologica Sinica, 39(16): 5911-5921
俞孔坚, 王春连, 李迪华, 袁弘, 李文豪, 洪敏. 2019. 水生态空间红线概念、划定方法及实证研究. 生态学报, 39(16): 5911-5921
Yu K J. 2015. Aquatic ecological infrastructure of wild China: the theory and practice. Journal of Poyang Lake, (1): 5-18
俞孔坚. 2015. 美丽中国的水生态基础设施:理论与实践. 鄱阳湖学刊, (1): 5-18
Zhang S W, Yang R, Hou W X, Wang L L, Liu S, Song H Y, Zhao W J, Li L J. 2023. Analysis of fractional vegetation cover changes and driving forces on both banks of Yongding River before and after ecological water replenishment. Ecology and Environmental Sciences, 32(2): 264-273
张鐥文, 杨冉, 侯文星, 王丽丽, 刘爽, 宋汉扬, 赵文吉, 李令军. 2023. 生态补水前后永定河两岸植被覆盖度变化及驱动力分析. 生态环境学报, 32(2): 264-273 [DOI: 10.16258/j.cnki.1674-5906.2023.02.006http://dx.doi.org/10.16258/j.cnki.1674-5906.2023.02.006]
Zheng G Z and Li C Y. 2022. An empirical algorithm for retrieving chlorophyll-a concentration in the sea area near Palawan Island. Science of Surveying and Mapping, 47(5): 168-176
郑贵洲, 李春燕. 2022. 巴拉望岛附近海域叶绿素a浓度反演经验算法. 测绘科学, 47(5): 168-176 [DOI: 10.16251/j.cnki.1009-2307.2022.05.021http://dx.doi.org/10.16251/j.cnki.1009-2307.2022.05.021]
Zhou D, Wang G, He G, Yin R, Long T, Zhang Z, Chen S and Luo B. 2021. A Large-Scale Mapping Scheme for Urban Building From Gaofen-2 Images Using Deep Learning and Hierarchical Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 11530-11545 [DOI: 10.1109/JSTARS.2021.3123398http://dx.doi.org/10.1109/JSTARS.2021.3123398]
Zhou G J, Tong Y L, Wang L Q, Chi H L, Zhu X H and Liang T. 2022. Multi-dimensional identification technology and application of water ecological space and protection line in the territorial spatial planning. Journal of Natural Resources, 37(12): 3102-3117
周广金, 童亚莉, 王凌青, 迟海龙, 朱昕虹, 梁涛. 2022. 国土空间规划中水生态空间及保护线的多维识别技术与应用. 自然资源学报, 37(12): 3102-3117 [DOI: 10.31497/zrzyxb.20221206http://dx.doi.org/10.31497/zrzyxb.20221206]
Zuo Q T, Liu J and Dou M. 2016. Analysis of the impact of dam operations on the river water ecological environment. Advances in Water Science, 27(3): 439-447
左其亭, 刘静, 窦明. 2016. 闸坝调控对河流水生态环境影响特征分析. 水科学进展, 27(3): 439-447 [DOI: 10.14042/j.cnki.32.1309.2016.03.012http://dx.doi.org/10.14042/j.cnki.32.1309.2016.03.012]
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