新疆风电场对生态环境的影响特征及其驱动因素分析OA
Impact characteristics and driving factors of wind farms on the ecological environment in Xinjiang
在"双碳"战略背景下,风力发电作为清洁可再生能源的代表,正快速向资源禀赋优越但生态脆弱的干旱区拓展.新疆是中国风能资源最为丰富的地区之一,其大规模风电开发对生态环境的潜在影响亟需量化评估.以新疆风电场为研究对象,基于2000-2023年中分辨率成像光谱仪(MODIS)数据与气象、地形、土地利用数据,运用遥感生态指数(RSEI)及地理探测器模型等方法,系统探究了风电场空间分布特征、生态环境变化趋势及驱动因素.结果表明:(1)新疆风电场总体呈集群化分布,集中于哈密市、吐鲁番市、阿勒泰地区等中低海拔区域,选址主要受地形平缓性、土地利用类型与风能资源约束.(2)2000-2023年,约81.8%的风电场区域RSEI呈下降趋势,生态质量总体稳定但局地退化显著.(3)地理探测器分析显示,年均降水量(q=0.4522)与海拔(q=0.3949)是新疆风电场区域生态变化的主导因子,而年均气温、坡度与风电运行年限等因子交互作用显著,89.3%的组合呈非线性增强关系,揭示生态效应具有多因子耦合特征.研究在一定程度上可以弥补新疆风电场生态影响研究的不足,为新疆风电开发与生态保护协调管理及干旱区可再生能源生态评估提供科学依据.
Against the backdrop of the"dual carbon"strategy,wind power,a leading clean renewable energy,is rapidly expanding into arid regions with abundant resources but fragile ecosystems.Xinjiang,one of China's most wind-resource-rich regions,urgently requires a quantitative assessment of the potential ecological effects of large-scale wind power development.Taking wind farms in Xinjiang as the study object,this work integrates mod-erate resolution imaging spectroradiometer data from 2000 to 2023 with meteorological,topographic,and land use data.Using the remote sensing ecological index(RSEI)and the geodetector model,we systematically investi-gate the spatial distribution of wind farms,temporal trends in ecological environmental changes,and their driving factors.The results indicate that(1)Wind farms in Xinjiang exhibit a clustered spatial distribution,mainly con-centrated in low-to-medium altitude regions such as Hami City,Turpan City,and Altay Prefecture.Site selection is primarily constrained by terrain flatness,land use types,and wind energy resources.(2)From 2000 to 2023,ap-proximately 81.8%of wind farm areas show a declining trend in RSEI.This suggests that although overall ecolog-ical quality remains relatively stable,localized degradation is evident.(3)Geodetector analysis reveals that mean annual precipitation(q=0.4522)and elevation(q=0.3949)are the dominant factors influencing ecological changes in wind farm areas.Interactions among factors such as mean annual temperature,slope,and wind farm operation-al duration are significant,with 89.3%of factor combinations exhibiting nonlinear enhancement effects,highlight-ing the multi-factor coupling characteristics of ecological effects.This study helps fill research gaps regarding the ecological effects of wind farms in Xinjiang.It provides a scientific basis for the coordinated management of wind power development and ecological protection,as well as for ecological assessments of renewable energy in arid regions.
焦视堂;颜洋;郑江华;何莹;巴比尔江·迪力夏提;魏建新;刘俊豪;折勇睿
新疆大学地理与遥感科学学院,新疆 乌鲁木齐 830017新疆大学地理与遥感科学学院,新疆 乌鲁木齐 830017新疆大学地理与遥感科学学院,新疆 乌鲁木齐 830017||新疆绿洲生态重点实验室,新疆 乌鲁木齐 830017新疆大学地理与遥感科学学院,新疆 乌鲁木齐 830017新疆大学地理与遥感科学学院,新疆 乌鲁木齐 830017||新疆维吾尔自治区自然资源资料档案馆(新疆维吾尔自治区自然资源数据中心),新疆 乌鲁木齐 830000新疆维吾尔自治区自然资源资料档案馆(新疆维吾尔自治区自然资源数据中心),新疆 乌鲁木齐 830000新疆大学地理与遥感科学学院,新疆 乌鲁木齐 830017新疆大学地理与遥感科学学院,新疆 乌鲁木齐 830017
风电场时空演变遥感生态指数(RSEI)地理探测器新疆
wind farmsspatiotemporal evolutionremote sensing ecological index(RSEI)geographical detec-torXinjiang
《干旱区地理》 2026 (9)
1840-1854,15
新疆维吾尔自治区自然资源信息中心委托项目(20241219JY075)资助
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