西南地区小流域水土保持中保水量的预测研究
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摘要
保证水资源可持续利用是保证社会和经济稳定、健康发展的一个重要前提与关键。长期的水土保持实践表明:水的保持与土壤保持具有同等重要的意义;以流域为单元进行小流域综合治理是有效控制水土流失、保护水土资源的可持续利用、加快生态环境建设的有效途径,是我国的重要水土保持经验。所以,在水土流失严重的西南山区中,小流域水土保持工作中的保水工作就显得尤为重要及紧迫。
     本文借鉴森林生态系统涵养水分的机理,研究分析影响小流域保水量的流域内各因子与保水量的定量关系,并根据水量平衡原理,建立了小流域保水量计算模型,着重分析阐述了其中的加法模型。本文按照植被类型及土地利用形式,通过MapGIS软件将小流域划分为林地、草地、水田等区域,根据各自的持水特性分别计算保水量。
     通过研究发现,影响小流域保水量的关键区域是林地,而林地蓄水量的主要集中区域在林地土壤层和林下枯枝落叶层,影响其蓄水量的关键因子是植被的类型、郁闭度、树龄、枯枝落叶层的厚度、下木盖度及地被植物盖度。选取这些关键因子为输入量,以树冠持水量、枯枝落叶层持水量、林地土壤持水量及三者之和林地保水总量为输出量,建立BP神经网络模型。优点是利用神经网络模糊处理各因子间的相互复杂关系,提高了解决问题的效率。
Ensuring the sustainable utilization of water is the guarantee of social and economic stability and healthy development of an important premise and key. Practice shows that the long-term conservation of water and soil, keep are equally important significance. In a river basin, as a unit watershed comprehensive treatment is the effective way of controlling actively soil and water loss, keeping soil and water resources sustainable utilization and accelerating the construction of ecological environment. And it is also important experience to soil and water conservation in China. Therefore, in the serious soil erosion in the mountainous southwest, water conservation is important and urgent in soil-and-water conservation work.
     Through drawing lessons from water conservation in forest ecosystems mechanism, this paper studies and analyzes mainly the quantitative relationship between water and various factors that affect the water of the small watershed protection, and establishes a small basin of water-maintained calculation model focusing on analysis of them described additive model based on water balance principle. Based on vegetation types and land utilization form, the small watershed will be divided into forest, grassland, paddy fields and other areas by MapGIS, and then we can calculate respectively the capacity of maintaining water according to their respective holding-water characteristics.
     By research, it is found that the forest is the key area impacting on water in small watershed. The main regions of forest water retention capacity focus in forest canopy and regional soil layers and the understory in the forest litter layers, and the key factors of affecting its water storage capacity is the vegetation type, canopy density, age, litter thickness, undergrowth cover degree and ground covers degree. The key factors were selected as the input value, and take the water-holding capacity of crown, litter, soil, and their sum as the output to establish the BP neural network model. Its advantage is improving the efficiency of solving the problem by the use of fuzzy neural networks to deal with the complex interaction between the various factors relations.
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