基于3S技术和USLE的深圳市茜坑水库流域土壤侵蚀强度预测研究

基于RS、GPS和GIS(3S技术)的集成提出了USLE 6大因子的算法,在建立的专题地理信息数据库基础上,运用USLE对深圳市茜坑水库流域的土壤侵蚀强度进行预测和估算.结果表明:整个流域90.5%的区域土壤流失强度为中度以下,强度侵蚀以上的区域虽然仅占整个流域面积的9.5%,但是年土壤侵蚀量达到了整个流域土壤侵蚀量的49.4%.流域土壤侵蚀强度和植被覆盖情况明显相关,茜坑水库流域的东北山区部分是整个流域的严重侵蚀区.研究证明:在3S技术集成支持下,采用USLE对流域的土壤流失强度进行预测和估算的方法具有直观、方便、快捷的优点,成果能充分满足小流域水土保持工作的需要.     

基于3S技术和USLE的深圳市茜坑水库流域土壤侵蚀强度预测研究

基于RS、GPS和GIS(3S技术)的集成提出了USLE 6大因子的算法,在建立的专题地理信息数据库基础上,运用USLE对深圳市茜坑水库流域的土壤侵蚀强度进行预测和估算.结果表明:整个流域90.5%的区域土壤流失强度为中度以下,强度侵蚀以上的区域虽然仅占整个流域面积的9.5%,但是年土壤侵蚀量达到了整个流域土壤侵蚀量的49.4%.流域土壤侵蚀强度和植被覆盖情况明显相关,茜坑水库流域的东北山区部分是整个流域的严重侵蚀区.研究证明:在3S技术集成支持下,采用USLE对流域的土壤流失强度进行预测和估算的方法具有直观、方便、快捷的优点,成果能充分满足小流域水土保持工作的需要.     

Capacity of soil loss control in the Loess Plateau based on soil erosion control degree

The capacity of soil and water conservation measures, defined as the maximum quantity of suitable soil and water conservation measures contained in a region, were determined for the Loess Plateau based on zones suitable for establishing terraced fields, forestland and grassland with the support of geographic information system (GIS) software. The minimum possible soil erosion modulus and actual soil erosion modulus in 2010 were calculated using the revised universal soil loss equation (RUSLE), and the ratio of the minimum possible soil erosion modulus under the capacity of soil and water conservation measures to the actual soil erosion modulus was defined as the soil erosion control degree. The control potential of soil erosion and water loss in the Loess Plateau was studied using this concept. Results showed that the actual soil erosion modulus was 3355 t?km^-2?a^-1, the minimum possible soil erosion modulus was 1921 t?km^-2?a^-1, and the soil erosion control degree was 0.57 (medium level) in the Loess Plateau in 2010. In terms of zoning, the control degree was relatively high in the river valley-plain area, soil-rocky mountainous area, and windy-sandy area, but relatively low in the soil-rocky hilly-forested area, hilly-gully area and plateau-gully area. The rate of erosion areas with a soil erosion modulus of less than 1000 t?km^-2?a^-1 increased from 50.48% to 57.71%, forest and grass coverage rose from 56.74% to 69.15%, rate of terraced fields increased from 4.36% to 19.03%, and per capita grain available rose from 418 kg?a^-1 to 459 kg?a^-1 under the capacity of soil and water conservation measures compared with actual conditions. These research results are of some guiding significance for soil and water loss control in the Loess Plateau.     

东北黑土区容许土壤流失量研究(英文)

Soil loss tolerance(T) is the maximum rate of annual soil erosion that is tolerated and still allows a high level of crop productivity to be sustained economically and indefinitely.In the black soil region of Northeast China,an empirically determined,default T value of 200(t/km2?a) is used for designing land restoration strategies for different types of soils.The ob-jective of this study was to provide a methodology to calculate a quantitative T for different black soil species.A field investigation was conducted to determine the typical soil profiles of 21 black soil species in the study area and a quantitative methodology based on a modified soil productivity index model was established to calculate the T values.These values,which varied from 68 t/km2?a to 358 t/km2?a,yielded an average T value of 141 t/km2?a for the 21 soil species.This is 29.5% lower than the current national standard T value.Two significant factors that influenced the T value were soil thickness and vulnerability to erosion.An ac-ceptable reduction rate of soil productivity over a planned time period of 1% is recommended as necessary for maintaining long-term sustainable soil productivity.Compared with the cur-rently used of regional unified standard T value,the proposed method,which determines T using specific soil profile indices,has more practical implications for effective,sustainable management of soil and water conservation.     

基于土壤侵蚀控制度的黄土高原水土流失治理潜力研究

以整个黄土高原为研究对象,首先将水土保持措施容量定义为某一区域能容纳的最大适宜水土保持措施量。根据梯田、林地和草地的适宜布设区域,在地理信息系统（GIS）软件的支持下,确定了黄土高原的水土保持措施容量。使用修正通用土壤流失方程（RUSLE）,计算了最小可能土壤侵蚀模数和2010年现状土壤侵蚀模数,并将水土保持措施容量下的最小可能土壤侵蚀模数与现状土壤侵蚀模数之比定义为土壤侵蚀控制度。随后使用土壤侵蚀控制度,对黄土高原水土流失治理潜力进行了研究。结果显示：黄土高原2010年现状土壤侵蚀模数为3355 t·km^-2·a^-1,最小可能土壤侵蚀模数为1921 t·km^-2·a^-1,土壤侵蚀控制度为0.57,属于中等水平。相比于现状条件,在水土保持措施容量条件下,微度侵蚀区比例从50.48%提高至57.71%,林草覆盖率从56.74%增加至69.15%,梯田所占比例由4.36%增加到19.03%,人均粮食产量可从418 kg·a^-1提高至459 kg·a^-1。研究成果对于黄土高原生态文明建设具有一定的指导意义。     

喀斯特山地土壤侵蚀和产水量的最优解释力

喀斯特生态系统服务主导影响因子识别是科学治理石漠化的前提,然而环境因子对生态系统服务空间分布的解释力受尺度变换的影响,其尺度效应的定量研究仍需进一步加强。为定量厘定环境因子解释力的尺度效应,本文从多尺度视角出发,利用地理探测器定量分析不同空间分辨率下环境因子对土壤侵蚀和产水量的解释力,并探求其在不同地貌形态类型区的差异性规律。结果表明,坡度和植被覆盖度是影响土壤侵蚀空间分布的主导因子,两者的交互作用对土壤侵蚀空间分布的解释力更强。受研究区地形起伏普遍性和景观破碎化的影响,坡度和土地利用类型在低分辨率下解释力最优。降水、海拔和土地利用类型是产水量空间分异的主导因子。降水和土地利用类型的交互作用对产水量的解释力达95%以上,海拔在不同地貌形态类型区的空间变异性影响其最优解释力水平。具体表现为：在台地、丘陵类型区海拔空间变异性较小,在高分辨率下其解释力最优;在山地类型区,海拔空间变异性较大,在低分辨率下其解释力更强。本文通过多尺度分析定量甄别生态系统服务变量的最优解释力,以期为喀斯特山地生态系统服务的主导因子精准辩识和分区优化提供途径和依据。     

基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因（英文）

The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multi-factor synthesis are still relatively lacked. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types. Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant(q value) for soil erosion was much higher than other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill> small relief mountain> middle relief mountain. Multi-factors interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes(such as dry land with slopes of 5° and above 25°) or in the diverse land use types with the same slope(such as dry land and forest with a slope of 5°), varied much. These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief mountainous areas. Therefore, the spatial heterogeneity of soil erosion and its influencing factors in different geomorphological types should be investigated to control karst soil loss more effectively.     

Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method

Journal of Geographical Sciences - The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the...     

基于遥感技术的三峡库区土壤侵蚀量评估及影响因子分析

基于遥感和地理信息系统技术,利用修正通用土壤流失方程对三峡库区的土壤侵蚀进行定量评估,并进一步分别利用MODIS、TRMM遥感数据对其变化影响的主要因子植被覆盖和降雨侵蚀力变化进行了分析.结果表明:2005年土壤侵蚀总量为11 979.19×104t,平均土壤侵蚀模数为2 087 t/(km2·a),与2000年土壤侵蚀模数2 381 t/(km2·a)相比,减少了294 t/(km2·a).库区东部长江两岸大部分地区植被出现增长趋势,位于研究区边缘附近植被变化不明显;库区降雨侵蚀力总体呈增加趋势,同时降雨侵蚀力年际变化存在较明显的空间差异性.     

Assessment and spatial distribution of sensitivity of soil erosion in Tibet

Based on Universal Soil Loss Equation and methods of mathematics model and GIS analysis, this study classified influence of precipitation, soil, topography and vegetation upon sensitivity of soil erosion into five different degrees which are extreme sensitivity, quite sensitivity, sensitivity, less sensitivity and no sensitivity. Assessment map of each factor was generated separately. Integrated assessment map of sensitivity of soil erosion has also been drawn by overlapping function with Arcinfo. Furthermore, the study analyzed distribution characteristics and spatial difference of sensitivity of soil erosion under special plateau environment of Tibet. According to sensitivity degree, some important controlling regions was confirmed so that departments of water conservancy, traffic management and agriculture could make scientific and reasonable decisions for their respective subject planning.     

西藏水土流失敏感性评价及其空间分异规律

Based on Universal Soil Loss Equation and methods of mathematics model and GIS analysis, this study classified influence of precipitation, soil, topography and vegetation upon sensitivity of soil erosion into five different degrees which are extreme sensitivity, quite sensitivity, sensitivity, less sensitivity and no sensitivity. Assessment map of each factor was generated separately. Integrated assessment map of sensitivity of soil erosion has also been drawn by overlapping function with Arcinfo. Furthermore, the study analyzed distribution characteristics and spatial difference of sensitivity of soil erosion under special plateau environment of Tibet. According to sensitivity degree, some important controlling regions was confirmed so that departments of water conservancy, traffic management and agriculture could make scientific and reasonable decisions for their respective subject planning.     

贵州麦岗水库沉积物的矿物磁性特征及其土壤侵蚀意义

对取自贵州西南部紫云县麦岗水库的沉积物柱芯MG1-1进行了包括SIRM、ARM、χlf、χfd、IRM-20mT和IRM-100mT等磁性参数的矿物磁性测量,并计算了ARM/SIRM、HIRM和IRM-100mT/SIRM。根据沉积物的这些矿物磁性特征,并结合137Cs、粒度、TOC、C/N分析结果,推测了麦岗水库流域在1960～2007年(47年)间的土壤侵蚀变化情况。研究表明:麦岗水库流域的土壤侵蚀强度变化虽然存在一些波动,但整体上呈现由强到弱到强再到弱的变化过程。结合降水资料和土地利用/土地覆被变化情况,探讨了影响土壤侵蚀变化的主要原因。结果表明,降水量对流域土壤侵蚀变化的影响不大,而人类活动,特别是土地利用的变化可能是引起流域土壤侵蚀变化的主要原因。