Eco-environmental Sensitivity Analysis of Typical Power Grid Engineering on Tibetan Plateau Based on RS and GIS
ZENG Ye-long1,2, ZHOU Quan3, JIANG Li3, ZHANG Yang-jian2,4, ZU Jia-xing2,5, TAN Wei1
1. College of Forestry, Guizhou University, Guiyang 550025, China;
2. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;
3. Southwest Branch of State Grid Corporation of China, Chengdu 610041, China;
4. Chinese Academy of Sciences Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China;
5. University of Chinese Academy of Sciences, Beijing 100049, China
In order to assess the impact of power grid engineering on the ecological environment, the direct and indirect eco-environmental impacts of the power grid project in the complex natural environment was evaluated using a conceptual model. Based on RS and GIS technology, the sensitivity evaluation index system was constructed. The ecological environment sensitivity to the construction of the Typical Power Grid Engineering was evaluated by using the spatial principal component analysis method on the Tibetan Plateau. The results showed that the overall ecological environment of the study area was highly sensitive and the agglomeration effect (HH spatial correlation pattern) was significant. The severe and extreme sensitive areas were concentrated in the Yarlung Zangbo Grand Canyon, the middle of the study area, and the Alpine Valley in the southeast zone. For regions assigned to each ecological environmental vulnerability level, (i.e. the extreme sensitive, the severe sensitive, the medium sensitive and the light sensitive), corresponding measures should be taken to reduce the impacts of the project on the ecological environment. The index method proposed by this study can be used to evaluate the ecological environment impacts of other large-scale projects under complex natural conditions.
曾业隆, 周全, 江栗, 张扬建, 俎佳星, 谭伟. 基于遥感与GIS的青藏高原典型电网工程生态环境敏感性分析[J]. 中国环境科学, 2017, 37(8): 3096-3106.
ZENG Ye-long, ZHOU Quan, JIANG Li, ZHANG Yang-jian, ZU Jia-xing, TAN Wei. Eco-environmental Sensitivity Analysis of Typical Power Grid Engineering on Tibetan Plateau Based on RS and GIS. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(8): 3096-3106.
Wagner P, Roschke J, Mann K, et al. Human sleep EEG under the influence of pulsed radio frequency electromagnetic fields-Results from polysomnographies using submaximal high power flux densities[J]. Neuropsychobiology, 2000,42(4):207-212.
[2]
Zhang B Y, Wang X H, Zhao M, et al. Analysis of ecological environment for 500kV four circuits power transmission lines on same tower[C]//2006 International Conference on Power Systems Technology:POWERCON, Vols 1-6, 2006:764-771.
Cui H R, Qiu D F, Chen L. The Environmental Impact Assessment of Power Transmission Project Based on Fuzzy Theory[J]. Environment Materials and Environment Management, 2011,281:195-200.
Jin H J, Yu Q H, Wang S L, et al. Changes in permafrost environments along the Qinghai-Tibet engineering corridor induced by anthropogenic activities and climate warming[J]. Cold Regions Science and Technology, 2008,53(3):317-333.
[16]
Wen Z, Zhang T J, Sheng Y, et al. Managing ice-rich permafrost exposed during cutting excavation along Qinghai-Tibetan railway:Experiences and implementation[J]. Engineering Geology, 2011,122(3/4):316-327.
Bonachea J, Bruschi V M, Remondo J, et al. An approach for quantifying geomorphological impacts for EIA of transportation infrastructures:a case study in northern Spain[J]. Geomorphology, 2005,66(1-4):95-117.
[20]
Coskun H G. Remote Sensing and Gis Techniques for Temporal Evaluation of Environmental Impacts on Major Drinking Water Dam and Basin of Metropolis Istanbul[J]. Fresenius Environmental Bulletin, 2009,18(3):261-269.
[21]
El-Gafy M A, Abdelrazig Y A, Abdelhamid T S. Environmental Impact Assessment for Transportation Projects:Case Study Using Remote-Sensing Technology, Geographic Information Systems, and Spatial Modeling[J]. Journal of Urban Planning and Development-Asce, 2011,137(2):153-158.
Yang H C, Wang G Q, Yang Y, et al. Assessment of the impacts of land use changes on nonpoint source pollution inputs upstream of the three gorges reservoir[J]. Scientific World Journal, 2014.
[28]
Xie Y H, Yue T, Chen X S, et al. The impact of Three Gorges Dam on the downstream eco-hydrological environment and vegetation distribution of East Dongting Lake[J]. Ecohydrology, 2015,8(4):738-746.
[29]
Yang H C, Wang G Q, Wang L J, et al. Impact of land use changes on water quality in headwaters of the Three Gorges Reservoir[J]. Environ. Sci. Poll. Res., 2016,23(12):11448-11460.
Liao X Q, Li W, Hou J X. Application of GIS based ecological vulnerability evaluation in environmental impact assessment of master plan of coal mining area[C]//2013 International Symposium on Environmental Science and Technology (2013Isest), 2013,18:271-276.
Sahoo S, Dhar A, Kar A. Environmental vulnerability assessment using Grey Analytic Hierarchy Process based model[J]. Environmental Impact Assessment Review, 2016,56:145-154.
Shao H Y, Sun X F, Tao S Q, et al. Environmental vulnerability assessment in middle-upper reaches of Dadu River Watershed using Projection Pursuit Model and Gis[J]. Carpathian Journal of Earth and Environmental Sciences, 2015,10(4):133-146.
[40]
Shao H Y, Sun X F, Wang H X, et al. A method to the impact assessment of the returning grazing land to grassland project on regional eco-environmental vulnerability[J]. Environmental Impact Assessment Review, 2016,56:155-167.
[41]
Abson D J, Dougill A J, Stringer L C. Using principal component analysis for information-rich socio-ecological vulnerability mapping in Southern Africa[J]. Applied Geography, 2012,35(1/2):515-524.
Ma J W, Xue Y, Ma C F, et al. A data fusion approach for soil erosion monitoring in the Upper Yangtze River Basin of China based on Universal Soil Loss Equation (USLE) model[J]. International Journal of Remote Sensing, 2003,24(23):4777-4789.
[46]
Zhang C S, Xie G D, Liu C L, et al. Assessment of soil erosion under woodlands using USLE in China[J]. Frontiers of Earth Science, 2011,5(2):150-161.
Deng X, Liu J, Zhuang D, et al. Modeling the relationship of land use change and some geophysical indicators for the interlock area of farming and pasturing in China[J]. Journal of Geographical Sciences, 2002,12(4):397-404.
[50]
Hou K, Li X X, Zhang J. GIS Analysis of Changes in Ecological Vulnerability Using a SPCA Model in the Loess Plateau of Northern Shaanxi, China[J]. International Journal of Environmental Research and Public Health, 2015,12(4):4292-4305.
