澜沧江典型对比流域水力侵蚀快速调查与评价

根据水力侵蚀面蚀和沟蚀两种不同侵蚀形态发生过程尺度空间大小不一的侵蚀特点,确定了研究区面蚀和沟蚀的不同调查评价方法.面蚀的发生过程空间尺度小,选用小区调查方法进行,而沟蚀的发生过程尺度空间大,在典型调查小流域尺度进行全面调查.然后在两种尺度下,分析形成沟蚀和面蚀的影响因素,进行沟蚀程度和面蚀强度分级,并把研究成果展延到澜沧江凤庆河流域和晓街河流域.最后,以在典型调查小流域的研究结果为对照判别依据,判断风庆河和晓街河流域的土壤侵蚀状况.结果显示,澜沧江典型流域的面蚀强度差异不大,沟蚀是造成不同流域土壤侵蚀和沟道输沙差异的主要水力侵蚀形式.     

基于日降雨量的年均降雨侵蚀力估算模型及其应用——以四川省凉山州为例

为提高连续性降雨强度、降雨量、雨滴动能等数据缺乏地区修正通用土壤侵蚀方程(RUSLE)的计算精度,提出了针对我国西南地区基于日降雨的年均降雨侵蚀力估算模型。进而RUSLE与GIS技术结合,剖析了四川省凉山州的土壤侵蚀空间分布特征。研究表明,四川省凉山州西北部土壤侵蚀较轻,东部和南部侵蚀较高,特别是金沙江干流沿岸、雅砻江下游、黑水河和美姑河等流域侵蚀最为严重。结合土地利用和坡度分析,凉山州>6°的旱地土壤侵蚀最严重,而林地和草地土壤侵蚀的强弱主要取决于植被覆盖程度。     

基于WaTEM/SEDEM模型的沂河流域土壤侵蚀产沙模拟

基于WaTEM/SEDEM模型,结合临沂水文站和角沂水文站的输沙数据对模型进行校正和验证,分析模拟1975—2015年沂河流域侵蚀产沙的时空变化特征,并进一步研究降水、地形位和土地利用变化对流域侵蚀产沙的影响。结果表明：① 沂河流域输沙能力系数K_tc-low和K_tc-high在40 m和150 m组合下效果最优,模型在沂河流域具有较好的适用性。② 1975—2015年,沂河流域主要以侵蚀为主,微度侵蚀所占面积最大,其次是剧烈侵蚀,沉积主要分布在河谷处;流域侵蚀强度呈现先增加后减少的趋势,侵蚀模数由1975年的30.92 t·hm^-2·a^-1增加至1995年的49.32 t·hm^-2·a^-1再下降至2015年的29.60 t·hm^-2·a^-1;各县（区）平均侵蚀模数为沂水县>费县>沂南县>沂源县>蒙阴县>平邑县>兰山区。③ 沂河流域土壤侵蚀产沙强度的变化是降水、地形、土地利用等综合作用的结果。1975—2015年,流域降雨侵蚀力呈现先降低后升高又降低的变化趋势,各县（区）平均降雨侵蚀力为费县>兰山区>沂南县>蒙阴县>平邑县>沂水县>沂源县,降雨侵蚀力时空变化与流域侵蚀产沙强度时空变化并不完全一致;地形位等级空间分布与流域侵蚀产沙强度空间分布基本一致,侵蚀产沙的优势地形位区间是4~6级,即高程75~428 m,坡度5°~39°;耕地和林地的转化是土壤侵蚀强度转化最主要的原因,林地转化为耕地使侵蚀强度面积升高3389.97 hm²·a^-1,耕地转林地则使侵蚀强度面积降低2216.65 hm²·a^-1,草地与其他土地利用类型的转化对流域侵蚀强度影响较小。该研究可为区域土地利用方式调整和水土流失调控提供参考。     

1992-2013年巢湖流域土壤侵蚀动态变化

基于GIS和RS技术,利用修正的通用土壤流失方程（RUSLE）模型,结合遥感影像、DEM数据、土壤类型数据及相关统计确定了模型中参数因子,计算出巢湖流域1992-2013年土壤侵蚀模数,分析了土壤侵蚀强度的时空动态变化特征。结果表明：巢湖流域土壤侵蚀区域主要呈东北至西南方向分布。微度、轻度、中度、强度、极强和剧烈侵蚀占土壤侵蚀总面积百分比分别是93.46%、6.25%、0.68%、0.19%、0.01%、0.01%。1992-2006年土壤侵蚀模数由510.70 t/（km²·a）减少到129.79 t/（km²·a）,降幅为74.59%,同时植被覆盖率由37.0%增至47.80%,土壤侵蚀的面积比例变化明显,轻度、中度、强度、极强和剧烈侵蚀由8.93%、2.33%、1.32%、0.09%、0.05%分别减少为4.74%、1.39%、0.28%、0.02%、0.01%,微度侵蚀由87.88%增加到94.16%。但2013年土壤微度侵蚀又减少为93.46%,土壤微度侵蚀有向高一级转换趋势。2006-2013年土壤侵蚀模数也由129.79 t/（km²·a）增加到149.44 t/（km²·a）,增幅为15.14%。     

基于遥感和GIS的黄土高原中阳县土壤侵蚀评价

黄土高原地区是我国水土流失最严重的地区,定量评价土壤侵蚀量、土壤侵蚀强度及其空间分布特征,可以为水土流失防治措施的制定提供依据.基于遥感和GIS,应用修正的通用土壤流失方程(RUSLE)对山西中阳县土壤侵蚀进行评价.结果表明,中阳县平均土壤侵蚀模数为2 874.25t/(km2·a),属于中度侵蚀地区,年平均土壤侵蚀量408.78×104 t.发生中度以上土壤侵蚀面积占总面积的29.95％,土壤侵蚀量占总侵蚀量的85.61％,这部分土地是土壤侵蚀防治的主要区域.黄土区发生轻度以上土壤侵蚀面积大,所占比例多,侵蚀程度严重.微度土壤侵蚀面积以有林地为主,轻度和中度土壤侵蚀面积主要是未成林造林地和灌木林地,发生强烈以上土壤侵蚀面积主要是疏林地、未利用地、灌木林地和农田,土地类型、植被覆盖与土壤侵蚀有着密切关系,林业生态工程建设对于中阳县控制水土流失和改善生态环境有着重要作用.     

基于GIS的小流域土壤侵蚀与产沙的简化模拟

将泥沙输移能力公式与USLE公式相结合,建立了一个简化的分布式小流域产沙模型,并将其应用于川中丘陵区小流域的土壤侵蚀与泥沙输移的空间分布模拟。得到的主要结论:1.该模型适用于川中丘陵区小流域产沙的模拟;2.魏城河流域1980—1987年8 a平均土壤侵蚀量为16.8×104t,侵蚀模数为675.8 t/(km2.a),模拟得到的输沙模数为238.6 t/(km2.a),泥沙输移比为0.35;3.魏城河流域主要以微度侵蚀为主,占到全流域总面积的68%,强度侵蚀占流域面积的1%,主要分布在坡度较陡的流域边缘地带;4.相对其他因子,降雨与坡度对该流域侵蚀产沙的影响更为突出。     

基于地貌演进背景的流域自然与人为侵蚀定量评估--以鲁中南山地为例

在GIS软件的支持下,计算了鲁中南山地及其各流域的高程积分并判定了其地貌侵蚀阶段,对鲁中南山地第四纪平均侵蚀量作了初步估算.通过侵蚀指数、自然侵蚀指数、人为侵蚀指数等指标的构建,计算了鲁中南山地各流域水土流失的自然侵蚀背景,进而得出人为侵蚀强度的流域差异.研究表明,鲁中南山地整体的自然侵蚀速率约为0.17 mm/a,大致相当于实际侵蚀的1/4,人为侵蚀强度较大;自然侵蚀强烈的流域主要分布在研究区北部,而人为侵蚀严重的流域主要分布在研究区东南部.提出了地貌演进背景下水土流失自然（地貌）侵蚀与人为侵蚀定量评估的技术方案,对鲁中南山地水土保持工作的政策措施提出了建议.     

寒冷环境土壤侵蚀类型

土壤侵蚀已成为全球性的环境灾害之一,土壤侵蚀分类是认识土壤侵蚀发生发展机理、空间分布特征和规律以及治理措施制定的重要依据.我国经过半个多世纪的研究,建立了较为合理的中国土壤侵蚀分类系统,但是对寒冷地区土壤侵蚀因为研究较少,其土壤侵蚀分类研究深度相对较低.鉴于此,从寒冷地区环境特征,营力分析人手,对寒冷地区以侵蚀营力为依据,将土壤侵蚀划分为冻融侵蚀、寒冻侵蚀和冰川侵蚀三种类型,并提出了划分的标准和范围.     

细沟侵蚀影响因素和临界条件研究进展

细沟侵蚀是坡耕地时常发生的一种侵蚀形式.细沟侵蚀对坡面土壤侵蚀产沙有重要贡献,而且是坡面侵蚀由面蚀向沟蚀发展的过渡.本文分析了细沟侵蚀影响因素和临界条件研究取得的进展和存在的不足.影响细沟侵蚀的主要因素有降雨径流、土壤、地形、土壤表面特征和土地管理等因素,其中,前4者有多种指标来表征其效应,而土壤表面特征的影响还处于定性研究阶段.坡面需要达到特定的临界条件才可能发育细沟,细沟发生临界条件的研究主要从临界径流条件、临界土壤条件和临界地形条件等角度出发,各临界条件并非定值,而是关乎其他因素的综合指标.最后,本文对今后细沟侵蚀影响因素和临界条件研究可能的研究内容和方向进行了展望.     

黑龙江克拜黑土区50多年来侵蚀沟时空变化

中国东北黑土资源以土壤肥沃、有机质含量高、土质疏松、最适宜耕作而闻名于世。长期以来,由于人类的过度垦殖和不合理耕作, 造成大规模的水土流失,侵蚀沟不断切割地表,蚕食耕地,冲走沃土,降低了大型机械的耕作效率。侵蚀沟研究是土壤侵蚀研究的重要组成部分,在遥感和GIS 技术支持下,选取黑龙江克拜地区作为典型研究案例,以侵蚀沟密度为主要指标,分析了研究区侵蚀沟密度的动态变化、侵蚀沟变化的高程分异特征、坡度分异特征、坡向分异特征以及侵蚀沟变化与地貌类型的关系,揭示了典型黑土区50多年来侵蚀沟的动态变化特点和空间分异规律。     

西藏水土流失敏感性评价及其空间分异规律

以水土流失通用方程为理论基础,运用数学模型和GIS分析相结合的方法,将降水、地貌、土壤和植被因子对西藏水土流失敏感性的影响程度,划分为极敏感、相当敏感、敏感、较敏感和不敏感5个等级,并生成各单因素评价图。在Arcinfo中完成单因素图的叠加分析,得到西藏水土流失敏感性综合评价图。在此基础上,探讨了西藏特殊高原环境下的水土流失敏感性高低的分布规律及其在不同主导因子作用下的水土流失敏感性空间分异,提出了西藏水土流失治理的优先区,为水利、公路和农牧等部门进行专题规划和治理提供依据。     

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.     

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.     

基于RUSLE的卧虎山水库流域土壤侵蚀特征分析

通过RUSLE模型对卧虎山水库流域土壤侵蚀进行全面评价验证和总结。结果表明：① 水库流域平均侵蚀模数为462 t/(km²·a),该数值与通过水库淤积等资料推算评估结果基本一致,表明本研究结果具有较高的可信度;水库流域年均侵蚀量达到2.6×10⁶t,其中高于容许土壤流失量的面积为176 km²,占到流域总面积的31.51%。从不同侵蚀级别来看,占流域面积27.77%的轻度侵蚀,对流域侵蚀总量的贡献率为54.64%; 面积占比3.74%的中度及以上侵蚀,侵蚀量贡献率达到30.94%。② 流域内土壤侵蚀空间差异较大,回归分析发现地形因子是导致各子流域土壤侵蚀模数差异的主要因素;就土地利用类型而言,旱地和农村居民点是流域内的主要侵蚀土地利用类型;流域内土壤侵蚀模数随着坡度增加呈现相应增大趋势,8°~25°坡度段面积比例不仅最大,而且侵蚀量占比最高,是水库流域的主要侵蚀坡度段。     

中国土壤风力侵蚀空间格局及驱动因子分析

利用遥感与地理信息系统方法对全国土壤风力侵蚀状况进行了宏观调查，建立了全国1：10万土壤风力侵蚀数据库，对导致土风力侵蚀的原因进行分析，指出风速，土壤干燥度，地表植被指数，土培质地和坡度是土壤风力侵蚀的重要驱动因子，分析了这些因子与土壤侵蚀的空间关系，利用主成份分析方法，建立风力侵蚀动力指数模型，模型输出的风力侵蚀动力指数与全国土壤风力侵蚀遥感调查的结果有较好的一致性，表明土壤风力侵蚀动力指数可以较好地反映地区土壤风力侵蚀过程，并对沙漠化治理有指导意义。     

Spatial distribution of wind erosion and its driving factors in China

Soil erosion by wind means the soil particles are eroded and transported by wind. Fine particles of soil are transported as suspended load and may travel much greater distances than the coarse coarse materials do which are transported as creep and saltation. The finest particles and chemical microsome constitute the aerosol which can even keep for several years in atmosphere from descending. Wind erosion is a serious problem in many parts of the world. In China, up to 2400 km2 of land is dese…     

Remote-sensing data reveals the response of soil erosion intensity to land use change in Loess Plateau,China

Developing an effective approach to rapidly assess the effects of restoration projects on soil erosion intensity and their extensive spatial and temporal dynamics is important for regional ecosystem management and the development of soil conservation strategies in the future. This study applied a model that was developed at the pixel scale using water soil erosion indicators (land use, vegetation coverage and slope) to assess the soil erosion intensity in the Loess Plateau, China. Landsat TM/ETM+ images in 2000, 2005 and 2010 were used to produce land use maps based on the object-oriented classification method. The MODIS product MOD13Q1 was adopted to derive the vegetation coverage maps. The slope gradient maps were calculated based on data from the digital elevation model. The area of water soil-eroded land was classified into six grades by integrating slope gradients, land use and vegetation coverage. Results show that the Grain-To-Green Project in the Loess Plateau worked based on the land use changes from 2000 to 2010 and enhanced vegetation restoration and ecological conservation. These projects effectively prevented soil erosion. During this period, lands with moderate, severe, more severe and extremely severe soil erosion intensities significantly decreased and changed into less severe levels, respectively. Lands with slight and light soil erosion intensities increased. However, the total soil-eroded area in the Loess Plateau was reduced. The contributions of the seven provinces to the total soil-eroded area in the Loess Plateau and the composition of the soil erosion intensity level in each province are different. Lands with severe, more severe and extremely severe soil erosion intensities are mainly distributed in Qinghai, Ningxia, Gansu and Inner Mongolia. These areas, although relatively small, must be prioritised and preferentially treated.     

Temporal change in the landscape erosion pattern in the Yellow River Basin,China

Using Landsat TM data from 1995 and 2000, changes in the landscape erosion pattern of the Yellow River Basin, China were analysed. The aim was to improve our understanding of soil‐erosion change so that sustainable land use could be established. First, a soil‐erosion intensity index model was developed to study soil‐erosion intensity change in the study area. Over the 5 years, the areas of weak erosion, moderate erosion, severe erosion, and very severe erosion all increased. The area of weak erosion increased dramatically by 7.94×10⁵ ha, and areas of slight erosion and acute erosion decreased by 1.93×10⁶ ha and 4.50×10⁴ ha, respectively. The results show that while the intensity of soil erosion has gradually been decreasing as a whole, in some regions the soil erosion is becoming more severe. Based on landscape indices, the pattern of changes in soil erosion over the past 5 years was analysed. The changes in landscape pattern of soil erosion resulted from human activities. Analysis showed that human impact increases fragmentation, having three major effects on landscape pattern, reduction in patch area, variations in patch shape, and changes in spatial pattern. In the study area, population growth, farming, governmental policy and forest degradation are the major factors causing soil erosion change over a 5‐year period.     

我国土壤侵蚀与地理环境的关系

本文论述我国土壤侵蚀类型与自然地带性和非地带性因素的关系,分析影响侵蚀强度时空分布和侵蚀泥沙输移的环境因素及流域条件。