GIS支持下的滑坡空间预测与危险等级划分

以日本早池峰山地域为研究对象,借助航片、TM影像、数字化地图以及各种统计资料和现有专题图等主要数据,利用美国MicroImage公司开发的TNTmips地理信息系统,将数量化理论与地理信息系统紧密结合,对区域滑坡进行了空间预测和危险等级划分.提取并计算了滑坡以及包括坡度、坡向、海拔、坡面倾斜类型、降雨、植被、土壤和地质等8个滑坡影响因子,得到了滑坡及其影响因子的空间分布图.在此基础上,抽取372个样本,应用数量化理论对这些样本进行了分析,建立了区域滑坡预测模型.该模型经研究区域共1296384个样本检验,模型预测精度达80.49%.最后,以滑坡发生概率为基准,对滑坡危险等级进行了划分.     

The role of forest stand density in controlling soil erosion: implications to sediment-related disasters in Japan

The role of forest stand density in controlling soil erosion was investigated in Ehime Prefecture, Japan. The main objective was to compare soil erosion under different forest conditions including forest type, species composition, and stand density as influenced by thinning operations. Relative yield index (Ry) was used as an indicator of stand density to reflect the degree of management operations in the watershed. Eleven treatments were established based on the above forest conditions. Soil loss was collected in each of the 11 treatments after each rainfall event for a period of 1 year. The paper presents summary data on soil loss as affected by forest conditions and rainfall patterns. Findings showed that an appropriate forest management operation, which can be insured by stand density control, is needed to reduce soil loss. The present study plays an important role in clarifying technical processes related to soil erosion, while it helps linking these elements to current Japanese forestry issues and bringing new inputs to reducing sediment-related disasters in Japan.