Please wait a minute...
 
自然资源遥感  2021, Vol. 33 Issue (3): 211-218    DOI: 10.6046/zrzyyg.2020286
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
基于分区-集成的黄河流域生态脆弱性评价
杨雯娜1,2(), 周亮1,3,4(), 孙东琪3
1.兰州交通大学测绘与地理信息学院,兰州 730070
2.地理国情监测技术应用国家地方联合工程研究中心,兰州 730070
3.中国科学院地理科学与资源研究所,北京 100101
4.甘肃省地理国情监测工程实验室,兰州 730070
Ecological vulnerability assessment of the Yellow River basin based on partition-integration concept
YANG Wenna1,2(), ZHOU Liang1,3,4(), SUN Dongqi3
1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China
2. National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China
3. Institute of Geographic Sciences and Natural Resources Research/State Key Laboratory of Resources and Environment Information System, Beijing 100101, China
4. Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China
全文: PDF(3969 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 

黄河流域是中国重要的生态安全屏障、资源能源集聚地区、生产活动高度密集地区,其生态环境变化直接关系到流域生态与经济可持续发展。研究基于“分区-集成”的评价方法,选取水资源、气候、土壤、植被及人类活动等指标建立评价体系,引入乘法模型,对黄河流域的生态脆弱性进行了量化评价与空间异质性分析。结果表明: 流域整体生态环境呈中度脆弱,中度脆弱地区占流域面积的42.46%,脆弱性较为严重的地区主要为流域上游沿黄城市经济带; 2000—2018年流域生态脆弱水平先降低后升高,其中2000年生态问题最为突出,2015年脆弱程度最低,其综合脆弱指数分别为2.28和2.00; 流域范围内生态脆弱性分布与趋势演变空间差异明显,流域上游高原地区生态脆弱程度明显升高,沿黄城市带脆弱性等级无明显变化,中下游地区生态环境改善趋势显著。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
杨雯娜
周亮
孙东琪
关键词 分区-集成生态脆弱性空间差异可持续发展黄河流域    
Abstract

The Yellow River basin is an important ecological safety barrier, an agglomeration area of resource and energy, and an area with highly intensive production activities in China. Therefore, its ecological change directly affects the sustainable development of the ecological environment and economy in the basin. This paper aims to quantitatively assess the ecological vulnerability and analyze the spatial heterogeneity in the Yellow River basin. To this end, an evaluation system was established using the partition-integration assessment method by selecting indicators such as water resources, climate, soil, vegetation, and human activities. Meanwhile, a multiplication model was introduced. The assessment results are as follows. The overall ecological environment in the basin is moderately vulnerable, with moderately vulnerable areas accounting for 42.37% of the total area of the basin. Meanwhile, the areas with a highly vulnerable ecological environment in the basin are mainly distributed in the urban economic belt along the upper mainstream of the Yellow River. From 2000 to 2018, the ecological vulnerability of the basin first decreased and then increased. During this period, ecological problems were the most notable in 2000 and ecological vulnerability was the lowest in 2015, with the Comprehensive Vulnerability Index (CVI) of 2.28 and 2.00, respectively in 2000 and 2015. The ecological vulnerability and its evolution trend in the basin significantly varied in space. In detail, the ecological vulnerability notably increased in the plateau areas in the upper reaches, slightly changed in the urban belt along the river, and significantly decreased in the middle and lower reaches.

Key wordspartition-integration    ecological vulnerability    spatial difference    sustainable development    Yellow River basin
收稿日期: 2020-09-10      出版日期: 2021-09-24
ZTFLH:  TP79  
基金资助:国家自然科学基金项目“干旱区城镇扩张对绿洲耕地多尺度影响与情景模拟”(41961027);甘肃省重点人才项目“西部贫困山区交通减贫与乡村振兴创新人才培养项目”(2021RCXM073);兰州交通大学“百名青年优秀人才培养计划”
通讯作者: 周亮
作者简介: 杨雯娜(1997-),女,硕士,主要研究方向为流域生态遥感。Email: yangwennaleo10@163.com
引用本文:   
杨雯娜, 周亮, 孙东琪. 基于分区-集成的黄河流域生态脆弱性评价[J]. 自然资源遥感, 2021, 33(3): 211-218.
YANG Wenna, ZHOU Liang, SUN Dongqi. Ecological vulnerability assessment of the Yellow River basin based on partition-integration concept. Remote Sensing for Natural Resources, 2021, 33(3): 211-218.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/zrzyyg.2020286      或      https://www.gtzyyg.com/CN/Y2021/V33/I3/211
Fig.1  黄河流域区位图
Fig.2  黄河流域分区方案
一级指标 二级指标 权重/%
Ⅰ区 Ⅱ区 Ⅲ区
年降水量 1.30 3.30 2.98
水资源总量 2.23 8.50 7.32
河网密度 0.16 0.38 0.60
水流速率*① 1.20 5.16 8.10
气候 年积温(≥10°C) 7.47 0.34 0.92
湿润指数 2.40 5.15 4.97
日照时数 1.36 2.53 1.50
极端降水* 5.22 13.92 8.48
一级指标 二级指标 权重/%
Ⅰ区 Ⅱ区 Ⅲ区
土壤 黏土含量 0.14 0.45 0.39
砂土含量* 0.10 0.54 0.37
富水能力 2.38 3.65 4.52
植被 生物多样性指数 0.27 0.44 1.32
森林覆盖度 3.28 8.27 10.03
草地覆盖度 0.19 0.20 0.90
人类活动 人口密度* 19.49 14.48 14.01
GDP密度* 34.97 21.83 15.05
路网密度* 3.83 1.73 2.79
建设用地强度* 14.00 9.14 15.74
Tab.1  黄河流域生态脆弱性评价体系
脆弱性等级 脆弱性阈值
高原寒区 干旱过渡区 季风气候区
轻度脆弱 (0,0.14] (0,0.24] (0,0.30]
中度脆弱 (0.14,0.20] (0.24,0.31] (0.30,0.40]
重度脆弱 (0.20,0.31] (0.31,0.40] (0.40,0.51]
极度脆弱 (0.31,1] (0.40,1] (0.51,1]
Tab.2  黄河流域各分区生态脆弱性阈值
Fig.3  黄河流域生态脆弱性分布
Fig.4  黄河流域各年份生态脆弱性评价结果
Fig.5  黄河流域生态脆弱性等级变化(2000—2018年)
Fig.6  黄河流域各年份生态脆弱性等级分布比例
Fig.7  黄河流域各生态分区生态脆弱性等级比例
一级指标 二级指标 Avg Sd PPMC
年降水量 0.328 0.148 -0.153
水资源总量 0.210 0.157 -0.345
河网密度 0.564 0.117 0.026
水流速率 0.901 0.993 0.137
气候 年积温(≥10 °C) 0.557 0.282 -0.242
湿润指数 0.264 0.149 -0.528
日照时数 0.473 0.155 0.072
极端降水 0.182 0.169 0.455
土壤 黏土含量 0.351 0.121 -0.110
砂土含量 0.522 0.137 0.096
富水能力 0.321 0.224 -0.085
植被 生物多样性指数 0.487 0.216 -0.300
森林覆盖度 0.058 0.111 -0.159
草地覆盖度 0.254 0.102 -0.016
人类活动 人口密度 0.016 0.028 0.427
GDP密度 0.009 0.022 0.381
路网密度 0.351 0.207 0.444
建设用地强度 0.043 0.058 0.479
Tab.3  生态脆弱性与评价指标间的皮尔森系数
[1] 罗跃初, 周忠轩, 孙轶, 等. 流域生态系统健康评价方法[J]. 生态学报, 2003, 23(8):1606-1614.
Luo Y C, Zhou Z X, Sun Y, et al. Assessment methods of watershed ecosystem health[J]. Acta Ecologica Sinica, 2003, 23(8):1606-1614.
[2] Zhang F, Liu X P, Zhang J Q, et al. Ecological vulnerability assessment based on multi-sources data and SD model in Yinma River Basin,China[J]. Ecological Modelling, 2017, 349(7):41-50.
doi: 10.1016/j.ecolmodel.2017.01.016
[3] Zhou L, Xu J G, Sun D Q. Zoning assessment of water environmental supporting capacity of socioeconomic development in the Huaihe River Basin,China[J]. Journal of Geographical Sciences, 2015, 25(10):1199-1217.
doi: 10.1007/s11442-015-1228-1
[4] Beroya-Eitner M A. Ecological vulnerability indicators[J]. Ecological Indicators, 2016, 60(1):329-334.
doi: 10.1016/j.ecolind.2015.07.001
[5] Ahn S R, Kim S J. Assessment of integrated watershed health based on the natural environment,hydrology,water quality,and aquatic ecology[J]. Hydrology and Earth System Science, 2017, 21(11):5583-5602.
doi: 10.5194/hess-21-5583-2017
[6] 周祖昊. 流域二元信息的采集与加工[M]//王浩.黄河流域水资源及其演变规律研究. 北京: 科学出版社, 2010:61-66.
Zhou Z H. Collection and processing of binary information of Yellow River Basin[M]//Wang H.Research on water resources and its evolution law of the Yellow River Basin. Beijing: Science Press, 2010:61-66.
[7] 陈耀, 张可云, 陈晓东, 等. 黄河流域生态保护和高质量发展[J]. 区域经济评论, 2020(1):8-22.
Chen Y, Zhang K Y, Chen X D, et al. Ecological protection and high-quality development of the Yellow River Basin[J]. Regional Economic Review, 2020(1):8-22.
[8] 秦大庸, 于福亮, 裴源生. 宁夏引黄灌区耗水量及水均衡模拟[J]. 资源科学, 2003(6):19-24.
Qin D Y, Yu F L, Pei Y S. Water demand and water balancing simulation for Yellow River irrigated areas[J]. Resources Science, 2003(6):19-24.
[9] 周日平. 黄土高原典型区土壤保持服务效应研究[J]. 国土资源遥感, 2019, 31(2):131-139.doi: 10.6046/gtzyyg.2019.02.19.
doi: 10.6046/gtzyyg.2019.02.19
Zhou R P. Assessing the soil erosion control service in the typical area of Loess Plateau[J]. Remote Sensing for Land and Resources, 2019, 31(2):131-139.doi: 10.6046/gtzyyg.2019.02.19.
doi: 10.6046/gtzyyg.2019.02.19
[10] 吴春生, 黄翀, 刘高焕, 等. 基于模糊层次分析法的黄河三角洲生态脆弱性评价[J]. 生态学报, 2018, 38(13):4584-4595.
Wu C S, Huang C, Liu G H, et al. Assessment of ecological vulnerability in the Yellow River Delta using the Fuzzy Analytic Hierarchy Process[J]. Acta Ecologica Sinica, 2018, 8(13):4584-4595.
[11] 孙波, 孙永军, 田垄. 黄淮海流域湿地遥感调查[J]. 国土资源遥感, 2010(s1):144-147.doi: 10.6046/gtzyyg.2010.s1.30.
doi: 10.6046/gtzyyg.2010.s1.30
Sun B, Sun Y J, Tian L. A remote sensing investigation of waterlands in Yellow River Basin[J]. Remote Sensing for Land and Resources, 2010(s1):144-147.doi: 10.6046/gtzyyg.2010.s1.30.
doi: 10.6046/gtzyyg.2010.s1.30
[12] 陈继伟, 曾琪明, 焦健, 等. Sentinel-1A卫星TOPS模式数据的SBAS时序分析方法——以黄河三角洲地区为例[J]. 国土资源遥感, 2017, 29(4):82-87.doi: 10.6046/gtzyyg.2017.04.13.
doi: 10.6046/gtzyyg.2017.04.13
Chen J W, Zeng Q M, Jiao J, et al. SBAS time series analysis technique based on Sentinel-1A TOPS SAR images:A case study of Yellow River Delta[J]. Remote Sensing for Land and Resources, 2017, 29(4):82-87.doi: 10.6046/gtzyyg.2017.04.13
doi: 10.6046/gtzyyg.2017.04.13
[13] 陆大道, 孙东琪. 黄河流域的综合治理与可持续发展[J]. 地理学报, 2019, 74(12):2431-2436.
doi: 10.11821/dlxb201912001
Lu D D, Sun D Q. Development and management tasks of the Yellow River Basin:A preliminary understanding and suggestion[J]. Acta Geographica Sinica, 2019, 74(12):2431-2436.
[14] 李晓琴, 田垄, 余珍风. 黄河流域水土流失遥感监测[J]. 国土资源遥感, 2009(4):57-61,67.doi: 10.6046/gtzyyg.2009.04.12.
doi: 10.6046/gtzyyg.2009.04.12
Li X Q, Tian L, Yu Z F. Remote sensing monitoring of soil erosion in the Yellow River Basin[J]. Remote Sensing for Land and Resources, 2009(4):57-61,67.doi: 10.6046/gtzyyg.2009.04.12.
doi: 10.6046/gtzyyg.2009.04.12
[15] Wang G Q, Zhang J Y, Jin J L, et al. Impacts of climate change on water resources in the Yellow River basin and identification of global adaptation strategies[J]. Mitigation and Adaptation Strategies for Global Change, 2017(22):67-83.
[16] 李敏, 张长印, 王海燕. 黄土高原水土保持治理阶段研究[J]. 中国水土保持, 2019(2):1-4.
Li M, Zhang C Y, Wang H Y. Research on the stages of soil and water conservation management in the Loess Plateau[J]. Soil and Water Conservation in China, 2019(2):1-4.
[17] 陈军, 杜培军, 谭琨. 一种改进的全极化SAR图像MCSM-Wishart非监督分类方法[J]. 国土资源遥感, 2015, 27(2):15-21.
Chen J, Du P J, Tan K. An improved unsupervised classification scheme for polarimetric SAR image with MCSM-Wishart[J]. Remote Sensing for Land and Resources, 2015, 27(2):15-21.
[18] Guo B, Fan Y W, Yang F, et al. Quantitative assessment model of ecological vulnerability of the Silk Road Economic Belt,China,utilizing remote sensing based on the partition-integration concept[J]. Geomatics,Natural Hazards and Risk, 2019(10):1346-1366.
[19] 彭少明, 郑小康, 王煜, 等. 黄河典型河段水量水质一体化调配模型[J]. 水科学进展, 2016, 27(2):196-205.
Peng S M, Zheng X K, Wang Y, et al. Study on integrated allocation and dispatch model of water quality and quantity for the Yellow River[J]. Advances in Water Science, 2016, 27(2):196-205.
[20] 郝志新, 郑景云, 葛全胜, 等. 黄河中下游与江淮流域的降水量和入渗深度关系分析[J]. 自然科学进展, 2008(6):662-667.
Hao Z X, Zheng J Y, Ge Q S, et al. Analysis of the relationship between precipitation and infiltration depth in the middle and lower reaches of the Yellow River and the Jianghuai Basin[J]. Progress in Natural Science, 2008(6):662-667.
[21] Guo B, Zhou Y, Zhu J F, et al. Spatial patterns of ecosystem vulnerability changes during 2001—2011 in the three-river source region of the Qinghai-Tibetan Plateau,China[J]. Journal of Arid Land, 2015, 8(1):23-35.
doi: 10.1007/s40333-015-0055-7
[22] 王帅, 傅伯杰, 武旭同, 等. 黄土高原社会-生态系统变化及其可持续性[J]. 资源科学, 2020, 42(1):96-103.
Wang S, Fu B J, Wu X T, et al. Dynamics and sustainability of social-ecological systems in the Loess Plateau[J]. Resources Science, 2020, 42(1):96-103.
[23] 王琼, 卢聪, 范志平, 等. 基于主成分分析和熵权法的河流生境质量评价方法——以清河为例[J]. 生态科学, 2017, 36(4):185-193.
Wang Q, Lu C, Fan Z P, et al. River habitat quality assessment based on principal component analysis and entropy weight in Qinghe River as a case[J]. Ecological Science, 2017, 36(4):185-193.
[24] 邵秋芳, 彭培好, 黄洁, 等. 长江上游安宁河流域生态环境脆弱性遥感监测[J]. 国土资源遥感, 2016, 28(2):175-181.doi: 10.6046/gtzyyg.2016.02.27.
doi: 10.6046/gtzyyg.2016.02.27
Shao Q F, Peng P H, Huang J, et al. Monitoring ecoenvironmental vulnerability in Anning River Basin in the upper reaches of the Yangtze River using remote sensing techniques[J]. Remote Sensing for Land and Resources, 2016, 28(2):175-181.doi: 10.6046/gtzyyg.2016.02.27.
doi: 10.6046/gtzyyg.2016.02.27
[25] Zhou H, Deng Z, Xia Y, et al. A new sampling method in particle filter based on Pearson correlation coefficient[J]. Neurocomputing, 2016:208-215.
[1] 滑永春, 陈家豪, 孙小添, 裴志永. 内蒙古段黄河流域景观生态风险分析[J]. 自然资源遥感, 2023, 35(2): 220-229.
[2] 方梦阳, 刘晓煌, 孔凡全, 李明哲, 裴小龙. 一种基于GEE平台制作逐年土地覆盖数据的方法——以黄河流域为例[J]. 自然资源遥感, 2022, 34(1): 135-141.
[3] 孙波, 孙永军, 田垄. 黄淮海流域湿地遥感调查[J]. 国土资源遥感, 2010, 22(s1): 144-147.
[4] 李晓琴, 田垄, 余珍风. 黄河流域水土流失遥感监测[J]. 国土资源遥感, 2009, 21(4): 57-61.
[5] 孙永军, 周强, 杨日红. 黄河流域土地荒漠化动态变化遥感研究[J]. 国土资源遥感, 2008, 20(2): 74-78.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
版权所有 © 2015 《自然资源遥感》编辑部
地址:北京学院路31号中国国土资源航空物探遥感中心 邮编:100083
电话:010-62060291/62060292 E-mail:zrzyyg@163.com
本系统由北京玛格泰克科技发展有限公司设计开发