LIU Ying，HU Xiao，YUE Hui，et al. Ecological environmental assessment of Gobi desert open-pit mine based on time series model[J]. Coal Science and Technology，2023，51（12）：125−139
. DOI: 10.13199/j.cnki.cst.2023-0290| Citation: |
LIU Ying，HU Xiao，YUE Hui，et al. Ecological environmental assessment of Gobi desert open-pit mine based on time series model[J]. Coal Science and Technology，2023，51（12）：125−139 . DOI: 10.13199/j.cnki.cst.2023-0290
|
Single and multi-scene remote sensing data have been usually adopted to evaluate the ecological environment in mining areas, whereas these two types of data always presented the drawbacks of inconsistent time and inaccurate evaluation. To achieve the accurate monitoring of ecological environment in mining areas, the open-pit mine in Gobi desert and its surrounding environment was selected as the research object, and CFmask algorithm+Tmask algorithm were used to obtain pure pixel reflectance. The annual remote sensing data of study area was synthesized by the time series model, and then the pressure-state-response model was used for long-term ecological environment evaluation. The results show that: ① The difference between the predicted surface reflectance values based on time series model and the surface reflectance values observed by the satellite in the corresponding local area was small, while the difference between the true color image vision was relatively small. Meanwhile, the difference between the predicted reflectance value of the impeccable pixel position and the surface reflectance value of the surrounding pure pixel in true color image vision was small. The accuracy was verified by comparing the observed and predicted values of pure pixel reflectance of each band in the study area in 2022, and the results showed that the observed values were significantly correlated with the predicted values (with the correlation coefficients greater than 0.6). The correlation between the field investigation data and the ecological environment index obtained from the time series prediction data (R2=0.450) was better than that of the single-scene ecological index (R2=0.347) and the multi-scene ecological index (R2=0.386). ② From 2013 to 2021, the overall ecological environment of the study area was poor, presenting a spatial pattern of high in the south and low in the north, high in the west and low in the east. With the increasing time, the ecological environment in the south deteriorated more seriously. The change of ecological environment inside the mining area was more stable than that outside the mining area, with the ecological environment outside the mining area degenerating rapidly. ③ The annual change rates of poor, moderate and superior ecological areas were 0.005 /a, 0.002/a and −0.007/a, respectively. The status of each ecological grade performed a trend of decreasing landscape fragmentation, decreasing landscape heterogeneity, and increasing convergence over time. The ecological superiority patch moved towards ecological medium and poor patches, and the ecological poor grade gradually became the main ecological grade of the ecological environment in the study area. The proportion of each grade within the mining area was stable, while the proportion of ecological poor level outside the mining area increased year by year. When ecological restoration would be conducted in the research area, crops planting should be avoided in the direction of semi-sunny slopes as much as possible. Moreover, it is recommended to avoid planting crops with slopes greater than 17.5° in the direction of shady slopes, semi-shady slopes, sunny slopes and semi-sunny slopes.
| [1] |
徐 轩,李均力,包安明,等. 新疆五彩湾矿区开发对荒漠植被的扰动分析[J]. 地球信息科学学报,2019,21(12):1934−1944.
XU Xuan,LI Junli,BAO Anming, et al. Disturbance analysis of desert vegetation under the development of Wucaiwan Min-ingArea in Xinjiang[J]. Journal of geo-information science,2019,21(12):1934−1944.
|
| [2] |
刘思怡,丁建丽,张钧泳,等. 艾比湖流域草地生态系统环境健康遥感诊断[J]. 草业学报,2020,29(10):1−13.
LIU Siyi,DING Jianli,ZHANG Junyong, et al. Remote sensing diagnosis of grassland ecosystem environmental health in the Ebinur Lake Basin[J]. Acta prataculturae sinica,2020,29(10):1−13.
|
| [3] |
郑慧玲,王永红,马 卫. 基于PSR模型的珠江三角洲生态环境脆弱性评价[J]. 水土保持通报,2022,42(4):210−217,381.
ZHENG Huiling,WANG Yonghong,MA Wei. Evaluation of eco-environmental vulnerability of Pearl River Delta Based on PSR Model[J]. Bulletin of soil and water conservation,2022,42(4):210−217,381.
|
| [4] |
姜旭海,韩 玲,白宗璠,等. 内蒙古自治区沙漠化敏感性时空演变格局和趋势分析[J]. 生态学报,2023(1):1−15.
JIANG Xuhai,HAN Ling,BAI Zongfan, et al. Analysis of the temporal and spatial evolution pattern and trend of desertification sensitivity in the Inner Mongolia Autonomous Region[J]. Acta ecologica sinica,2023(1):1−15.
|
| [5] |
袁 也,武文丽,付宗驰,等. 新疆昆玉市生态安全评价及其时空分异特征研究[J]. 石河子大学学报(自然科学版),2021,39(6):733−740.
YUAN Ye,WU Wenli,FU Zongchi, et al. Spatial-temporal dis-crimination for the urban eco-security evaluation in Xinjiang Kunyu[J]. Journal of shihezi university (natural science),2021,39(6):733−740.
|
| [6] |
夏 楠. 准东矿区生态环境遥感监测及生态质量评价模型研究[D]. 乌鲁木齐:新疆大学,2018.
XIA Nan. Study on remote sensing monitoring of eco-environment and assessment model of ecological quality in Zhundong Mining Region[D]. Urumqi:Xinjiang University,2018.
|
| [7] |
李 晶,邓晓娟,杨 震,等. 基于时序多光谱影像的干旱草原区开采扰动信息提取方法[J]. 光谱学与光谱分析,2019,39(12):3788−3793.
LI Jing,DENG Xiaojuan,YANG Zhen, et al. A method of extracting mining disturbance in arid grassland based on time series multispectral images[J]. Spectroscopy and spectral analysis,2019,39(12):3788−3793.
|
| [8] |
刘 英,朱 蓉,岳 辉. 典型露天矿区生态环境遥感评价[J]. 西安科技大学学报,2021,41(4):682−691.
LIU Ying,ZHU Rong,YUE Hui. Remote sensing evaluation of ecological environment in typical open-pit mining areas[J]. Journal of xi'an university of science and technology,2021,41(4):682−691.
|
| [9] |
范德芹,邱 玥,孙文彬,等. 基于遥感生态指数的神府矿区生态环境评价[J]. 测绘通报,2021,532(7):23−28.
FAN Deqin,QIU Yue,SUN Wenbin, et al. Evaluating ecological environment based on remote sensing ecological index in Shenfu mining area[J]. Bulletin of surveying and mapping,2021,532(7):23−28.
|
| [10] |
刘 虎,姜 岳,夏明宇,等. 基于30年遥感监测的矿区生态环境变化:以南四湖周边矿区为例[J]. 金属矿山,2021,538(4):197−206.
LIU Hu,JIANG Yue,XIA Mingyu, et al. Ecological environment changes of mining area with 30 Years' remote sensing moni-toring:a case study around Nansihu Lake,Shandong Province[J]. Metal Mine,2021,538(4):197−206.
|
| [11] |
岳 辉,刘 英,朱 蓉. 基于遥感生态指数的神东矿区生态环境变化监测[J]. 水土保持通报,2019,39(2):101−107,114.
YUE Hui,LIU Ying,ZHU Rong, et al. Monitoring ecological environment change based on remote sensing ecological index in Shendong Mining Area[J]. Bulletin of soil and water conservation,2019,39(2):101−107,114.
|
| [12] |
XIAO Wu,DENG Xinyu,HE Tingting, et al. Mapping annual land disturbance and reclamation in a surface coal mining region using google earth engine and the landtrendr algorithm:A case study of the shengli coalfield in Inner Mongolia,China[J]. Remote sensing,2020,12(10):1612. doi: 10.3390/rs12101612
|
| [13] |
YANG Yongjun,ERSKINE Peter D,LECHNER Alex M, et al. Detecting the dynamics of vegetation disturbance and recovery in surface mining area via Landsat imagery and LandTrendr algorithm[J]. Journal of cleaner production,2018,178:353−362.
|
| [14] |
WANG Huihui,XIE Miaomiao,LI Hanting, et al. Monitoring eco-system restoration of multiple surface coal mine sites in China via LANDSAT images using the Google Earth Engine[J]. Land degradation & development,2021,32(10):2936−2950.
|
| [15] |
ZHU Zhe,WOODCOCK Curtis E. Automated cloud,cloud shadow,and snow detection in multitemporal landsat data an algorithm designed specifically for monitoring land cover change[J]. Remote sensing of environment,2014,152:217−234.
|
| [16] |
SUN Chao,LI Jialin,LIU Yongchao, et al. Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)[J]. GIScience & remote sensing,2022,59(1):1793−1816.
|
| [17] |
康萨如拉,牛建明,张 庆,等. 草原区矿产开发对景观格局和初级生产力的影响:以黑岱沟露天煤矿为例[J]. 生态学报,2014,34(11):2855−2867.
KANG Sarula,NIU Jianming,ZHANG Qing, et al. Impacts of mining on landscape pattern and primary productivity in the grassland of Inner Mongolia:a case study of Heidaigou open pit coal mining. Acta ecologica sinica,2014,34( 11) :2855−2867.
|
| [18] |
袁婷婷,王志强,汪溪远,等. 准东红沙泉矿区重金属生态风险缓冲区分析[J]. 土壤通报,2020,51(1):227−233.
YUAN Tingting,WANG Zhiqiang,WANG Xiyuan, et al. Buffer analysis of heavy metal ecological risk in the Hongshaquan Mining Area of East Junggar Basin[J]. Chinese journal of soil science,2020,51(1):227−233.
|
| [19] |
方 舒,毛克彪. 中国近地表日气温数据集(1979-2018)[EB/OL]. 国家青藏高原科学数据中心,https://doi.org/10.5281/zenodo. 5502275.
FANG Shu. ,MAO Kebiao. A dataset of daily near-surface air temperature in China from 1979 to 2018[EB/OL]. National tibetan plateau/third pole environment data center,https://doi.org/10.5281/zenodo.5502275.
|
| [20] |
WU Junjun,WANG Xin,ZHONG Bo, et al. Ecological environment assessment for Greater Mekong Subre-gion based on Pressure-State-Response framework by remote sensing[J]. Ecological indicators,2020,117:106521. doi: 10.1016/j.ecolind.2020.106521
|
| [21] |
刘 英,魏嘉莉,毕银丽,等. 红沙泉露天煤矿碳储量时空动态变化分析[J]. 煤炭学报,2022,47(S1):214−224. doi: 10.13225/j.cnki.jccs.XR21.1562
LIU Ying,WEI Jiali,BI Yinli, et al. Spatiotemporal dynamic change analysis of carbon storage in desertification open-pit mine[J]. Journal of china coal society,2022,47(S1):214−224. doi: 10.13225/j.cnki.jccs.XR21.1562
|
| [22] |
闫梦川. 基于夜间灯光数据的长江三角洲地区GDP空间化分析[D]. 大连:辽宁师范大学,2022.
YAN Mengchuan. Spatial analysis of GDP in the Yangtze River Delta region based on night light data[D]. Dalian:Liaoning Normal University,2022.
|
| [23] |
QI Jiaguo,CHEHBOUNI Abdelghani,HUETE Alfredo Ramon, et al. A modified soil adjusted vegetation index[J]. Remote sensing of environment,1994,48(2):119−126. doi: 10.1016/0034-4257(94)90134-1
|
| [24] |
RIKIMARU A. LAMDSAT TM data processing guide for forest canopy density mapping and monitoring model[C]//ITTO workshop on Utilization of Remote Sensing in Site Assessment and Planning for Rehabilitation of Logged-over Forest. July 30-August 1,Bangkok,Thailand,1996:1−8.
|
| [25] |
岳 辉,朱 蓉,刘 英,等. 荒漠化露天矿土壤湿度监测模型的构建:以红沙泉矿区为例[J]. 煤炭科学技术,2022,50(2):300−311.
YUE Hui,ZHU Rong,LIU Ying, et al. Construction of soil moisture monitoring model in desertification open-pit mining area:taking Hongshaqian Mining Area as an example[J]. Coal science and technology,2022,50(2):300−311.
|
| [26] |
MORAN Susan M,HYMER Daniel C,QI Jiaguo, et al. Soil moisture evaluation using multi-temporal synthetic aperture radar (SAR) in semiarid rangeland[J]. Agricultural and forest meteorology,2000,105(1−3):69−80.
|
| [27] |
Douaoui Abd EI Kader,NICOLAS Hervé,WALTER Christian. Detecting salinity hazards within a semiarid context by means of combining soil and remote-sensing data[J]. Geoderma,2006,134(1/2):217−230. doi: 10.1016/j.geoderma.2005.10.009
|
| [28] |
YUE H,LIU Y,LI Y,et al. Eco-environmental quality assessment in China’s 35 major cities based on remote sensing ecological index[J]. IEEE Access,2019,7:51295−51311.
|
| [29] |
郑招文,肖袁俊,宋文丹,等. 中国植被生长期的时空变化[J]. 应用生态学报,2020,31(12):3979−3988.
ZHENG Zhaowen,XIAO Yuanjun,SONG Wendan, et al. Spati-otemporal variation of growing season length of vegetation in China[J]. Chinese journal of applied ecology,2020,31(12):3979−3988.
|
| [30] |
FOGA Steve,SCARAMUZZA Pat L,GUO Song, et al. Cloud detection algorithm comparison and validation for operational Landsat data products[J]. Remote Sensing of Environment,2017,194:379−390. doi: 10.1016/j.rse.2017.03.026
|
| [31] |
王爱霞,马婧婧,龚会蝶,等. 北疆一年生早春短命植物物种丰富度分布格局及其影响因素[J]. 生物多样性,2021,29(6):735−745. doi: 10.17520/biods.2020331
WANG Aixia,MA Jingjing,GONG Huidie, et al. Patterns and drivers of species richness of early spring annual ephemeral plants in northern Xinjiang[J]. Biodiversity Science,2021,29(6):735−745. doi: 10.17520/biods.2020331
|
| [32] |
袁素芬,唐海萍,张宏锋. 准噶尔荒漠短命植物分布特征对干扰的响应[J]. 干旱区资源与环境,2014,28(11):122−126.
YUAN Sufen,TANG Haiping,ZHANG Hongfeng. Response of distribution characteristics of ephemeral plants to the human disturbance in Dzungaria Desert[J]. Journal of arid land resources and environment,2014,28(11):122−126.
|
| [33] |
于昊辰. 新疆荒漠矿区土地生态系统退化评价及调控策略研究[D]. 徐州:中国矿业大学,2022.
Yu Haochen. Measurement and regulation strategies of land ecosystem degradation for desert mining area in Xinjiang[D]. Xuzhou:China University of Mining and Technology,2022.
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: