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基于生态敏感性的青海省祁连县光伏基地建设适应性分区

An Adaptability Zoning Method for Photovoltaic Base Construction of Qilian County, Qinghai Province Based on Ecological Sensitivity

  • 摘要: 西北生态脆弱区是发展新能源产业的重要潜在区域,协同推进新能源基地建设和国土综合整治是生态脆弱区高质量发展的重要抓手。本文以青海省祁连县为研究区,从地形、土壤和生态3方面构建生态敏感性评价模型,从能源禀赋、基础条件和景观格局3方面构建光伏基地建设适宜性评价模型,系统分析区域生态敏感性和光伏基地建设适宜性及其二者的协调发展水平,进而基于耦合协调度模型划分光伏基地建设类型区,统筹推进新能源产业布局和国土综合整治。结果表明:(1)祁连县生态敏感性呈现“西高东低”的格局,央隆乡、野牛沟乡等地的生态敏感性较高;光伏基地建设适宜性呈现“南北高、中间低”的特点,默勒镇、峨堡镇等地的建设适宜性较高。(2)通过耦合协调度模型将祁连县划分为4个光伏基地建设适应性类型区。其中,优质协调区(2734.70 Km2)主要分布于默勒镇、阿柔乡等地,是光伏基地建设的优先区,可发展“牧光互补”模式,应注重生态保护与修复工作;良好协调区(2690.57 Km2)分布于央隆乡、野牛沟乡等地,区域生态环境整体良好,可采用“牧光互补”、“光伏+农业”等模式,但应防止流域内水域的污染,并做好水土保持工作;一般协调区(1150.54 Km2)分布于央隆乡、默勒镇等地,生态敏感性较高且光伏开发潜力有限,应优先实施生态保护,审慎推进光伏基地建设;勉强协调区(374.18 Km2)分布于央隆乡等地,严格限制开发活动,优先依靠自然恢复,适时辅以必要的生态修复工程措施。该研究可为生态脆弱区协同推进新能源产业发展和国土整治修复提供方法借鉴。

     

    Abstract: The ecologically vulnerable regions in Northwest China were identified as key potential areas for renewable energy development. The synergistic advancement between establishing new energy bases and implementing comprehensive land consolidation was considered a crucial strategy for promoting high-quality development in these fragile ecosystems. This study, which took Qilian County in Qinghai Province as the research area, developed an ecological sensitivity assessment model based on topographic, soil, and ecological factors. A suitability evaluation model for photovoltaic (PV) base construction was also established, incorporating energy resources, infrastructure conditions, and landscape structure. A systematic analysis was conducted to assess the regional ecological sensitivity, the suitability for PV base construction, as well as the coordinated development level of the two aspects. Based on the coupling coordination degree model, the photovoltaic base construction type areas were classified to promote the layout of the new energy industry and the comprehensive land consolidation in a coordinated manner. The findings revealed that: (1) The overall ecological sensitivity in Qilian County was relatively high, showing a general pattern of "higher in the west and lower in the east." Townships such as Yanglong and Yeniugou exhibited particularly high sensitivity. Conversely, the suitability for PV base construction demonstrated a "high in the north and south, low in the center" pattern, with higher suitability concentrated in towns like Mole and Ebao. (2) Using the coupling coordination degree model, Qilian County was categorized into four adaptive type areas. The High-Quality Coordination Zone (2734.70 km2), located in areas including Mole Town and Arong Township, was prioritized for PV base development, where the "pastoral-photovoltaic complementary model" could be developed, and ecological protection and restoration work should have been emphasized before and after construction. The Good Coordination Zone (2690.57 km2), found in parts of Yanglong and Yeniugou Townships, where the "pastoral-photovoltaic complementary model" and "photovoltaic + agricultural model" could be developed, and the regional ecological environment was generally in good condition; however, pollution of the water areas within the basin should be prevented and soil and water conservation work should be done well. The Moderate Coordination Zone (1150.54 km2), distributed across parts of Yanglong Township and Mole Town, had high ecological sensitivity and significant constraints for solar energy exploitation, necessitating a priority on ecological protection and only moderate PV development. The Barely Coordinated Zone (374.18 km2), located in areas like Yanglong Township, was strictly limited for development; Priority should be given to natural restoration, supplemented by necessary ecological restoration projects in a timely manner. This study provided a methodological framework for integrating new energy industry development with land restoration efforts in ecologically vulnerable regions.

     

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