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    甘肃省典型生态清洁小流域建设成效评价与分类治理

    Evaluation of construction effectiveness and classification-based governance of typical ecological clean small watersheds in Gansu province

    • 摘要: 目的全面评估甘肃省生态清洁小流域建设成效,明晰成效提升机制及其制约因素,以支撑分类治理与高质量发展路径制定。方法以甘肃省5个典型生态清洁小流域为研究对象,构建综合评价指标体系,分别计算2023年(建设前)与2025年(建设后)的综合得分,通过动态对比揭示成效变化幅度,结合灰色关联度分析、相关性分析与障碍度模型解析建设成效的驱动机制与制约因素,进而通过层次聚类对不同小流域分类并针对性设计治理路径。结果1)建设成效显著提升,综合得分平均增幅达33.48 %,区域差异逐渐缩小。2)NDVI、水质及村庄绿化美化率是成效提升的主要驱动因子;林草覆盖率与成效提升呈负相关且关联度最低,表明未来需从规模扩张转向结构优化和质量提升。3)建设后指标平均障碍度下降39.01 %,制约瓶颈由面源污染与基础设施短板向农产品商品率低、产业链条短等生态与经济协同不足转变。4)聚类分析根据各流域生态本底与发展特征将其划分为3类,且不同类型在治理路径存在差异:景观旅游发展型应完善环境基础设施并推动由旅游规模扩张转向质量提升;农业经济优化型需通过推广绿色农业和发展特色产业实现生态与经济协同;生态稳固转化型流域则应着力提升生态产品价值转化能力,增强建设成效的长期内生动力。结论基于建设前后变化的动态评价方法能够更有效识别生态清洁小流域建设成效的驱动机制与阶段性特征。研究结果为甘肃省及类似地区实施分类治理与提升建设质量提供了方法参考。

       

      Abstract: Objective Comprehensive evaluation of ecological clean small watershed construction in Gansu Province is essential for elucidating improvement mechanisms and constraints, thereby supporting the formulation of categorized governance and high-quality development paths. Methods Focusing on five typical ecological clean small watersheds in Gansu, this study established a composite evaluation index system. Comprehensive scores for 2023 (pre-construction) and 2025 (post-construction) were calculated to reveal the magnitude of effectiveness through dynamic comparison. Grey Relational Analysis, correlation analysis, and the obstacle degree model were employed to decipher driving mechanisms and limiting factors, followed by hierarchical clustering to categorize watersheds and design targeted governance strategies. Results 1) Construction effectiveness improved significantly, with the average comprehensive score increasing by 33.48% and regional disparities gradually narrowing. 2) NDVI, water quality, and village greening/beautification emerged as the primary driving factors. Conversely, forest and grass coverage exhibited a negative correlation with score improvement and the lowest relational grade, indicating a necessary strategic shift from scale expansion toward structural optimization and quality enhancement. 3) The average obstacle degree of indicators decreased by 39.01%. Critical bottlenecks shifted from non-point source pollution and infrastructure deficits to insufficient ecological-economic synergy, characterized by low agricultural commodity rates and short industrial chains. 4) Hierarchical clustering categorized the watersheds into three types: the Landscape Tourism Development type should refine environmental infrastructure and prioritize quality over scale; the Agricultural Economy Optimization type needs to promote green agriculture and specialty industries for synergy; and the Ecological Stability Transformation type should focus on enhancing ecological product value realization to bolster long-term internal drivers. Conclusions The dynamic evaluation method based on pre- and post-construction changes effectively identifies the driving mechanisms and phased characteristics of ecological clean small watershed construction. These findings provide a methodological and practical reference for implementing categorized governance and enhancing construction quality in Gansu and similar regions.

       

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