干旱区研究

干旱区研究 >

2022 , Vol. 39 >Issue 3: 943 - 954

DOI: https://doi.org/10.13866/j.azr.2022.03.28

土壤与生态

基于RSEI的延河流域生态环境质量监测与预估

展开
  • 1.长安大学地质工程与测绘学院,陕西 西安 710054
    2.长安大学水利与环境学院,陕西 西安 710054
王丽霞（1979-）,女,副教授,博士,主要从事环境遥感与GIS应用研究. E-mail: zylxwang@chd.edu.cn

收稿日期: 2021-08-25

  修回日期: 2021-10-20

  网络出版日期: 2022-05-30

基金资助

陕西省自然科学基金项目(2021JM-161);中央高校基本科研业务资助项目(300102269201);中央高校基本科研业务资助项目(300102299206)

收起

Monitoring and prediction of ecological environmental quality in the Yanhe River Basin based on the remote sensing ecological index

Expand
  • 1. School of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, Shaanxi, China
    2. School of Water Conservancy and Environment, Chang’an University, Xi’an 710054, Shaanxi, China

Received date: 2021-08-25

  Revised date: 2021-10-20

  Online published: 2022-05-30

Fold

摘要

利用延河流域1998年、2004年、2010年和2016年4期的Landsat遥感影像,计算遥感生态指数（Remote Sensing Ecological Index,RSEI）,对流域生态环境质量的时空变化进行分析和评价,利用CA-Markov模型对2022年和2028年的生态环境进行模拟和预测。结果表明：（1） RSEI评价指数在延河流域具有较好的适用性,可用于监测和评价流域生态环境的时空变化特征。（2） 时间尺度上,RSEI均值从1998年的0.392变化为2016年的0.530,呈逐年上升趋势,空间尺度上,RSEI从东南向西北逐渐增大。以0.2为间隔划分RSEI等级,发现流域生态环境质量等级以较差和中等为主,占总面积的62.4%,主要分布于流域的山谷地带,优良等级的面积占比最小,约为8.1%,主要分布于流域南部的山区地带。（3） 自然和人为因素对流域生态环境质量变化的影响存在较大空间差异性。其中海拔在1200~1800 m的区域,生态环境质量变化主要受自然因素影响;而海拔低于1200 m的区域,则主要受人类活动影响。（4） 预测到2028年,流域生态环境质量会持续提升,良好和优良等级的面积占比将达到66%,但是流域西北部由于生态环境本底脆弱,仍存在较大的问题。

关键词： 延河流域; RSEI; 生态环境质量; 主成分分析; CA-Markov模型

本文引用格式

王丽霞,赵蕊,刘招,张双成,孔金玲,杨耘 . 基于RSEI的延河流域生态环境质量监测与预估[J]. 干旱区研究, 2022 , 39(3) : 943 -954 . DOI: 10.13866/j.azr.2022.03.28

Abstract

Based on Landsat remote sensing images of the Yanhe River Basin in 1998, 2004, 2010, and 2016, the remote sensing ecological index (RSEI) was calculated to analyze and evaluate temporal and spatial changes of environmental quality in the Yanhe River Basin. The CA-Markov model was also used to simulate and predict the ecological environment in 2022 and 2028. Results show that (1) the RSEI has good applicability in the Yanhe River Basin and can be used to monitor and evaluate temporal and spatial characteristics of the ecological environment in the basin. (2) For the time scale, the mean RSEI value changed from 0.392 in 1998 to 0.530 in 2016 and showed an increasing trend year by year. On a spatial scale, the RSEI gradually increased from southeast to northwest. RSEI grades were divided by 0.2 intervals and the total area of RSEI grades was mainly poor and moderate. These grades accounted for a total of 62.4%, which was distributed mainly in the valley of the basin, while the high grade area accounted for the least, at approximately 8.1%, which was distributed mainly in the mountainous region of the southern part of the basin. (3) There is a large spatial difference between the effects of natural and human factors on changes in environmental quality in the watershed. In the area with an altitude of 1200-1800 m, the change of eco-environmental quality was affected mainly by natural factors. However, areas below 1200 m are affected mainly by human activities. (4) It is predicted that by 2028, the ecological environment quality of the basin will continue to improve, and the area of good and high grade will account for 66%, but there are still big problems in the northwest of the basin because of the fragile ecological environment background.

Key words： Yanhe River Basin; remote sensing ecological index; ecological environment quality; principal component analysis; CA-Markov model

参考文献

[1] 赵其国, 黄国勤, 马艳芹. 中国生态环境状况与生态文明建设[J]. 生态学报, 2016, 36(19): 6328-6335.
[1] [ Zhao Qiguo, Huang Guoqin, Ma Yanqin. The ecological environment conditions and construction of an ecological civilization in China[J]. Acta Ecologica Sinica, 2016, 36(19): 6328-6335. ]
[2] 陈博明. 遥感技术在生态环境监测及执法中的应用进展[J]. 矿冶工程, 2020, 40(4): 165-168, 173.
[2] [ Chen Boming. Progress in the application of remote sensing technology to ecological environment monitoring and law enforcement supervision[J]. Mining And Metallurgical Engineering, 2020, 40(4): 165-168, 173. ]
[3] 谢芳, 邱国玉, 尹婧, 等. 泾河流域40年的土地利用/覆盖变化分区对比研究[J]. 自然资源学报, 2009, 24(8): 1354-1365.
[3] Xie Fang, Qiu Guoyu,imu A, Zhao Y Y, et al. Evaluation of the temporal and spatial changes of ecological quality in the Hami oasis based on RSEI[J]. Sustainability, 2020, 12(18): 7716-7738.
[4] 陈福军, 沈彦俊, 李倩, 等. 中国陆地生态系统近30年NPP时空变化研究[J]. 地理科学, 2011, 31(11): 1409-1414.
[4] [ Chen Fujun, Shen Yanjun, Li Qian, et al. Spatio-temporal variationan alysis of ecological systems NPP in China in past 30 years[J]. Science Geo-graphica sinica, 2011, 31(11): 1409-1414. ]
[5] 王志成, 刘新华, 贾付生, 等. 近10a阿克苏流域植被覆盖时空演变特征及影响因素[J]. 长江科学院院报, 2017, 34(9): 24-28, 35.
[5] [ Wang Zhicheng, Liu Xinhua, Jia Fusheng, et al. Vegetation cover in Aksu River Basin over the past decade: Spatio-temporal variation and impact factors[J]. Journal of Yangtze River Scientific Research Institute, 2017, 34(9): 24-28, 35. ]
[6] 林雷余, 谢先德, 孙鸿良, 等. 浙江省萧山县山-村农业结构现状及生态农业建设对策[J]. 农村生态环境, 1987, 4(1): 1-6.
[6] [ Lin Leiyu, Xie Xiande, Sun Hongliang, et al. Present situation of agricultural structure and countermeasures of ecological agricul-ture construction in Shanyi Village of Xiaoshan County, Zhejiang Province[J]. Journal of Ecology and Rural Environment, 1987, 4(1): 1-6. ]
[7] 程春明, 李蔚, 宋旭. 生态环境大数据建设的思考[J]. 中国环境管理, 2015, 7(6): 9-13.
[7] [ Cheng Chunming, Li Wei, Song Xu. Thinking on the big data construction for ecological environment[J]. Chinese Journal of Environmental Management, 2015, 7(6): 9-13. ]
[8] 高鹏文, 阿里木江·卡斯木, 图尔荪阿依·如孜,等. 哈密市生态环境效益时空分析[J]. 干旱区研究, 2020, 37(4): 1057-1067.
[8] [ Gao Pengwen, Kasim Alimujiang, Ruzi Tursunayi, et al. Temporal and spatial analysis of ecological environmentim provement in Ha-mi City[J]. Arid Zone Research, 2020, 37(4): 1057-1067. ]
[9] 徐涵秋. 区域生态环境变化的遥感评价指数[J]. 中国环境科学, 2013, 33(5): 889-897.
[9] [ Xu Hanqiu. Remote sensing evaluation in-dex of regional ecological environment change[J]. China Environ-mental Science, 2013, 33(5): 889-897. ]
[10] 张晓东, 刘湘南, 赵志鹏, 等. 农牧交错区生态环境质量遥感动态监测--以宁夏盐池为例[J]. 干旱区地理, 2017, 40(5): 1070-1078.
[10] [ Zhang Xiaodong, Liu Xiangnan, Zhao Zhipeng, et al. Dynamic monitoring of ecology and environment in the agro-pas-tral ecotone based on remote sensing: A case of Yanchi County in Ningxia Hui Autonomous Region[J]. Arid Land Geography, 2017, 40(5): 1070-1078. ]
[11] 徐涵秋, 施婷婷, 王美雅, 等. 雄安新区地表覆盖变化及其新区规划的生态响应预测[J]. 生态学报, 2017, 37(19): 6289-6301.
[11] [ Xu Hanqiu, Shi Tingting, Wang Meiya, et al. Land cover changes in the Xiong’an New Area and a prediction of ecological response to forthcoming regional planning[J]. Acta Ecologica Sinica, 2017, 37(19): 6289-6301. ]
[12] Gao P W, Kasimu A, Zhao Y Y, et al. Evaluation of the temporal and spatial changes of ecological quality in the Hami oasis based on RSEI[J]. Sustainability, 2020, 12(18): 7716-7738.
[13] Huang H P, Chen W, Zhang Y, et al. Analysis of ecological quality in Lhasa Metropolitan Area during 1990-2017 based on remote sensing and Google Earth Engine platform[J]. Journal of Geographical Sciences, 2021, 31(2): 265-280.
[14] 韩磊, 朱会利, 刘钊. 延安市退耕还林前后土地利用动态变化分析[J]. 西北师范大学学报(自然科学版), 2017, 53(5): 101-108.
[14] [ Han Lei, Zhu Huili, Liu Zhao. Analysis on dynamic change of land use before and after conversion of farmland to forest in yan’an city[J]. Journal of Northwest Normal University (Natural Science), 2017, 53(5): 101-108. ]
[15] 王丽霞, 任志远, 任朝霞, 等. 延河流域NDVI与主要气候因子的时空相关性研究[J]. 干旱区资源与环境, 2011, 25(8): 88-93.
[15] [ Wang Lixia, Ren Zhiyuan, Ren Zhaoxia, et al. The temporal and spatial correlations between NDVI and main climatic factors in Yanhe watershed[J]. Journal of Arid Land Resources and Environment, 2011, 25(8): 88-93. ]
[16] 董贞凯, 穆兴民, 赵广举, 等. 延河流域侵蚀产沙对有效降雨量及植被恢复的响应[J]. 泥沙研究, 2020, 45(5): 27-33.
[16] [ Dong Zhenkai, Mu Xingmin, Zhao Guangju, et al. Response of sediment yield to effective rainfall and vegetation rehabilitation in the Yanhe River Basin[J]. Journal of Sediment Research, 2020, 45(5): 27-33. ]
[17] 王丽春, 焦黎, 来风兵, 等. 基于遥感生态指数的新疆玛纳斯湖湿地生态变化评价[J]. 生态学报, 2019, 39(8): 2963-2972.
[17] [ Wang Lichun, Jiao Li, Lai Fengbing, et al.. Evaluation of ecological changes based on a remote sensing ecological index in a Manas Lake wetland, Xinjiang[J]. Acta Ecologica Sinica, 2020, 39(8): 2963-2972. ]
[18] 徐涵秋. 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J]. 遥感学报, 2005, 4(5): 589-595.
[18] [ Xu Hanqiu. A study on information extraction of water body with the modified normalized difference water index (MNDWI)[J]. Journal of Remote Sensing, 2005, 4(5): 589-595. ]
[19] Sobrino J A, Jiménez-Muñoz J C, Paolini L. Land surface temperature retrieval from LANDSAT TM5[J]. Remote Sensing of Environment, 2004, 90(4): 434-440.
[20] 覃志豪, Li Wenjuan, Zhang Minghua, 等. 单窗算法的大气参数估计方法[J]. 国土资源遥感, 2003, 56(2): 37-43.
[20] [ Qin Zhihao, Li Wenjuan, Zhang Minghua, et al. Estimating of the essential atmospheric parameters of mono-window algorithm for land surface temperature retrieval from Landsat TM6[J]. Remote Sensing for Land & Resources, 2003, 56(2): 37-43. ]
[21] 胡德勇, 乔琨, 王兴玲, 等. 单窗算法结合Landsat8热红外数据反演地表温度[J]. 遥感学报, 2015, 19(6): 964-976.
[21] [ Hu Deyong, Qiao Kun, Wang Xingling, et al. Land surface temperature retrieval from Landsat 8 thermal infrared data using mono-window algorithm[J]. Journal of Remote Sensing, 2015, 19(6) : 964-976. ]
[22] 赵永华, 贾夏, 刘建朝, 等. 基于多源遥感数据的景观格局及预测研究[J]. 生态学报, 2013, 33(8): 2556-2564.
[22] [ Zhao Yonghua, Jia Xia, Liu Jianchao, et al. Analysis and forecast of landscape pattern in Xi’an from 2000 to 2011[J]. Acta Ecologica Sinica, 2013, 33(8): 2556-2564. ]
[23] 农兰萍, 王金亮. 基于RSEI模型的昆明市生态环境质量动态监测[J]. 生态学杂志, 2020, 39(6): 2042-2050.
[23] [ Nong Lanping, Wang Jinliang. Dynamic monitoring of ecological environment quality in Kunming based on RSEI model[J]. Chinese Journal of Ecology, 2020, 39(6): 2042-2050. ]
[24] 韩磊, 火红, 刘钊, 等. 基于地形梯度的黄河流域中段植被覆盖时空分异特征--以延安市为例[J]. 应用生态学报, 2021, 32(5): 1581-1592.
[24] [ Han Lei, Huo Hong, Liu Zhao, et al. Spatial-temporal variation of vegetation cover in the middle Yellow River Basin based on topographic gradient: A case study of Yan’an City[J]. Chinese Journal of Applied Ecology, 2021, 32(5): 1581-1592. ]
[25] 周易. 西北地区削山填壑后的生境协同修复--以延安新区学习书院山体公园项目为例[J]. 工程建设与设计, 2019, 63(19): 141-144.
[25] [ Zhou Yi. Collaborative restoration of habitats after mountain cutting and reclamation in Northwest China: Taking the learning academy and the mountain park project in Yan’an New District as an example[J]. Environment Engineering Design, 2019, 63(19): 141-144. ]
[26] 翟睿洁, 赵文武, 贾立志. 基于RUSLE、InVEST和USPED的土壤侵蚀量估算对比研究--以陕北延河流域为例[J]. 农业现代化研究, 2020, 41(6): 1059-1068.
[26] [ Zhai Ruijie, Zhao Wenwu, Jia Lizhi. A comparative study of soil erosion estimation based on RUSLE, InVEST and USPED models: A case study of the Yanhe River Basin in Northern Shaanxi[J]. Research of Agricultural Modernization, 2020, 41(6): 1059-1068. ]
[27] 邓振镛, 林日暖, 刘丽君. 影响我省土壤湿度的因素及其分布[J]. 甘肃气象, 1990, 17(3): 19-21.
[27] [ Deng Zhenyong, Lin Rinuan, Liu Lijun. Factors affecting soil moisture and its distribution in Gansu Province[J]. Gansu Meteorology, 1990, 17(3): 19-21. ]
[28] 陈睿山, 郭晓娜, 熊波, 等. 气候变化、土地退化和粮食安全问题: 关联机制与解决途径[J]. 生态学报, 2021, 41(7): 2918-2929.
[28] [ Chen Ruishan, Guo Xiaona, Xiong Bo, et al. Climate change, land degradation and food insecurity: Linkages and potential solutions[J]. Acta Ecologica Sinica, 2021, 41(7): 2918-2929. ]
[29] 柯锐鹏, 梅志雄. 城镇化与绿地退化对城市热环境影响研究[J]. 生态环境学报, 2010, 19(9): 2023-2030.
[29] [ Ke Ruipeng, Mei Zhixiong. Analysis on the influence of urbanization and greenland-degradation on city thermal environment[J]. Ecology and Environmental Sciences, 2010, 19(9): 2023-2030. ]
Options
文章导航

/

〈 〉