基于小流域-村-网格单元的安徽省金寨县水土保持空间管控分区

    Spatial management and control zoning for soil and water conservation in Jinzhai County, Anhui Province of China based on small watershed-village-grid unit

    • 摘要: 水土保持空间管控是新时代水土保持事业发展的必然要求,划定水土保持空间管控区域是实现水土流失治理的前提,当前基于不同单元的划分研究相对薄弱。该研究以安徽省金寨县为例,分别以小流域、村、网格为单元,探索县域水土保持空间管控分区方案。基于研究区水土流失的空间分布特征及其影响因素构建相应的指标体系,运用自组织映射神经网络(self-organizing feature map,SOFM)划分不同单元的水土保持空间管控重点区域,并通过评价指标对划分结果进行对比分析。结果表明:1)金寨县平均潜在土壤侵蚀量为10841.95 t/(km2·a),平均实际土壤侵蚀量为211.79 t/(km2·a)。潜在土壤侵蚀高值区集中于梅山、响洪甸两大水库周边的低山丘陵区,实际侵蚀高值区集中在东北部以及中部人为活动剧烈区域。2)土壤侵蚀影响因子具有显著的尺度依赖性。海拔、坡度、地形起伏度、多年平均降雨量、林地面积占比是潜在土壤侵蚀的主要影响因子。随着尺度细化,地形起伏度重要性减弱,而土壤因子作用增强。园地面积占比、人类活动强度是实际土壤侵蚀的主要影响因子,且在越精细的网格尺度上,人类活动影响越突出。由于管控单元属性差异,相比于村单元,小流域单元上多年平均降雨量对潜在土壤侵蚀的贡献上升,而园地面积占比的贡献下降;海拔在实际侵蚀中的重要性提高。3)采用SOFM模型将金寨县划分为核心预防区、一般预防区和其他区域,分区效果理想且各区域关键指标差异显著。研究表明,以小流域和村为单元进行分区集中连片性较好,便于水土流失综合治理与管理;尺度细化能够有效提高划分精度,同时容易加剧区域破碎化,增加治理难度和成本。其中,10001500 m是兼顾划分精度与治理可行性的适宜网格尺度。该研究探索了多尺度管控单元下金寨县土壤侵蚀的主要驱动因素和水土保持空间管控分区特征,可为构建多尺度协同管控体系提供科学参考。

       

      Abstract: Spatial control of soil and water conservation is an inevitable requirement for the development of soil and water conservation in the new era. Designating spatial control areas for soil and water conservation is a prerequisite for achieving soil erosion control. Currently, research on the division based on different units is relatively weak. This study takes Jinzhai County, Anhui Province as an example and explores the spatial control and zoning schemes for soil and water conservation in the county by taking small watersheds, villages and grids as units respectively. Based on the spatial distribution characteristics and influencing factors of soil erosion in the study area, a corresponding index system was constructed. The self-organizing mapping neural network (SOFM) was used to divide the key areas of soil and water conservation spatial control in different units, and the division results were compared and analyzed through evaluation indicators. The results show that: (1) The average potential soil erosion amount in Jinzhai County is 10,841.95 t/(km2·a), and the average actual soil erosion amount is 211.79 t/(km2·a). The potential high-value areas of soil erosion are mainly concentrated in the low mountain and hilly areas around the two major reservoirs of Meishan and Xianghongdian, while the actual high-value areas of erosion are mainly concentrated in the northeastern and central regions with intense human activities. (2) The influencing factors of soil erosion have significant scale dependence. Altitude, slope, terrain undulation, multi-year average rainfall and the proportion of forest land area are the main influencing factors of potential soil erosion. With the refinement of scale, the importance of terrain undulation weakens, while the role of soil factors intensifies. The proportion of garden area and the intensity of human activities are the main influencing factors of actual soil erosion, and the finer the grid scale, the more prominent the impact of human activities. Due to the differences in the attributes of the controlled units, compared with the village units, the contribution of the multi-year average rainfall to potential soil erosion in the small watershed units has increased, while the contribution of the proportion of garden area has decreased. The importance of altitude in actual erosion has increased.(3) The SOFM model was adopted to divide Jinzhai County into the core prevention area, the general prevention area and other areas. The zoning effect was ideal and the key indicators of each area showed significant differences. Studies show that it is better to carry out zonal and contiguous management based on small watersheds and villages, which is conducive to the comprehensive control and management of soil erosion. Scale refinement can effectively enhance the accuracy of division, but at the same time, it is prone to exacerbate regional fragmentation, increasing the difficulty and cost of governance. Among them, 1000 to 1500 meters is an appropriate grid scale that takes into account both the division accuracy and the feasibility of governance. This study explored the main driving factors of soil erosion and the characteristics of spatial control zones for soil and water conservation in Jinzhai County under multi-scale control units, which can provide a scientific reference for the construction of a multi-scale collaborative control system.

       

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