吉林省水蚀模数与下垫面各因素的关系

利用遥感技术对吉林省水蚀情况进行调查,并运用线性模型理论,研究了水蚀灾害的影响因素,分析了下垫面诸因素对水蚀模数的影响程度,找出影响水蚀模数的主导因素。结果表明:影响吉林省水蚀模数的下垫面各因素中,成土母质、土地利用类型、植被覆盖度3个因子与水蚀模数的关系在0.05水平上达到显著程度。不同成土母质水蚀模数的大小次序为:石质<土石质<土质<黄土。吉林省土地利用类型中裸地的平均水蚀模数为6500t/(km2·a),针叶林、阔叶林、针阔混交林、灌木林、草地、农田的平均水蚀模数依次是250、1440、2366、3446、1188、2917t/(km2·a),分别比裸地减少96.2%、77.8%、63.6%、47.0%、81.7%、55.1%。随着植被覆盖度的增大,水蚀模数显著减少。农田覆盖度与植被覆盖度30%~50%的水土保持功效相当。各因素正规方程解可预测不同立地条件下的水蚀模数,相关系数达到0.975(自由度为53)。该研究为吉林省预防及治理水蚀灾害提供了理论依据。

Researches on the relationship between the water erosion modulus and the earth surface factors in Jilin Province

Soil erosion and the subsequent land degradation has become one of the most serious environmental problems. To study the relationship between the soil erosion amount and various factors and to set up soil erosion prediction model form the basis of controlling soil erosion and improving environment. Based on the information provided by landsat TM remote sensing technique, combining the remote sensing information with geographic data, synthetic analysis with principal factor analysis, indoor interpretation wi...