安徽省土壤侵蚀空间分布及其与环境因子的关系

基于USLE和GIS空间分析技术,对安徽省土壤侵蚀空间分布进行了定量研究,分析了土壤侵蚀空间分布与地形、土壤类型、土地利用方式的关系。结果表明:安徽省2002年平均土壤侵蚀模数为249.5t/km²·a,土壤侵蚀总量为33599148t/a。土壤侵蚀空间分布呈块状分布特征。淮北平原地区土壤侵蚀较弱,皖南丘陵山区和皖西大别山区土壤侵蚀较严重。在不同高程带上,200~500m高程带土壤侵蚀最强;不同坡度等级中,15°~25°坡度上的土壤侵蚀最强,>35°坡地上则较弱;不同坡向中,东南坡土壤侵蚀最强,其次是东坡;不同用地类型的土壤侵蚀程度不同,草地的土壤侵蚀最为严重,其次是林地;在各种土壤类型中,紫色土和黄褐土的土壤侵蚀最为突出,棕壤的土壤侵蚀微弱。     

科尔沁沙地夏秋(6—9月)季不同类型沙丘土壤呼吸对气温变化的响应

 通过测定分析了科尔沁沙地6—9月不同生境（固定、半固定和流动沙丘）土壤呼吸速率的日动态、月际动态及其对气温变化的响应。结果表明：测定期平均土壤呼吸速率在各生境间存在显著差异,其大小为固定沙丘（2.35 μmolCO₂·m^-2·s^-1）＞半固定沙丘（1.67 μmolCO₂·m^-2·s^-1）＞流动沙丘（1.06 μmolCO₂·m^-2·s^-1）;指数模型能够较好地揭示不同生境土壤呼吸对气温变化的响应,但土壤呼吸的月际动态与气温变化不完全同步;各生境土壤在高温环境下的Q10值(土壤呼吸对温度敏感程度)普遍低于低温环境下的Q₁₀值;固定、半固定和流动沙丘基于气温月际变化的Q₁₀值分别为2.34、1.99和1.31,表明不同的植被状况和土壤性质会影响到土壤呼吸对温度变化的敏感程度。     

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。     

基于MODIS数据的无定河流域蒸散模拟

利用黄土高原无定河流域水文气象资料、MODIS数据及GIS背景信息,应用分布式生态水文模型（VIP模型）,按250m空间分辨率模拟了该流域水量平衡各分量的时空分布。结果表明:2000²003年无定河流域年蒸散量分别为300 mm、397 mm、460 mm和443 mm;流域蒸散有明显的由南向北,由东到西的梯度递减特征,降水量和地表植被覆盖度的差异是其空间变异的主要因素;蒸腾与蒸发空间分异显著,但两者的变化相互补偿,降低了蒸散的空间变异性。整个流域平均而言,不同植被类型间的年蒸散总量差异不明显。白家川等9个子流域年蒸散量的模拟结果与水量平衡法估计结果具有较好的一致性。     

云南纵向岭谷区土地利用的侵蚀环境效应——以黑惠江、龙川江、盘龙河流域为例

土地利用直接改变土壤侵蚀的方式和强度,具有突出的侵蚀环境效应.以黑惠江、龙川江、盘龙河流域为例,探讨了云南纵向岭谷区土壤侵蚀对土地利用的响应关系.研究表明,本区土地利用类型的内部转化和相互转化引起土壤侵蚀程度的明显变化;耕地向林地、草地的转化使侵蚀强度指数显著降低;林地向耕地、草地转化,均显著增加侵蚀强度指数;耕地、林地、草地的内部转化对土壤侵蚀也有少量影响.另外,以土地利用为主的人类活动明显影响河流悬移质含量,林地面积提高和土壤侵蚀减弱的区域,年输沙量也相应减少,相反则增加.     

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。     

坡面土壤侵蚀临界坡度问题的理论与实验研究

本文首先在分析坡度对坡面流及坡面侵蚀的基础上,运用能量法及泥沙运动力学两种方法从不同理论角度探讨了坡面土壤侵蚀临界坡度问题;其次,通过室内外实验观测资料,结合与其他学者观点的比较分析,最后得出结论：坡面侵蚀以溅蚀为主时,临界坡度应小于２２°;以面蚀为主时,临界坡度为２２°～２６°左右;以沟蚀为主时,临界坡度会超过３０°;若以重力侵蚀为主,临界坡度可能会更大。     

19562000年中国潜在蒸散量变化趋势

利用1956²000年全国580个气象站的逐月气候资料,采用FAO推荐的彭曼-孟蒂斯公式计算潜在蒸散量,对中国及十大流域这45年的潜在蒸散量时空分布特征和变化趋势进行了分析,并采用偏相关分析方法,对造成潜在蒸散量变化的主要气候影响因子进行了探讨。结果表明:45年中除松花江流域外,全国绝大多数流域的年和四季的潜在蒸散量均呈现减少趋势,南方各流域（西南诸河流域除外）年和夏季潜在蒸散量减少趋势尤其明显。1980²000年和1956¹979年两时段多年平均年潜在蒸散量差值表明,我国大部地区1980²000年时段较前一时段减少,山东半岛、黄河和长江源区、西南诸河的中西部以及宁夏等地则增多。分析还表明,全国及大多数流域的年和四季潜在蒸散量与日照时数、风速、相对湿度等要素关系密切,但这45年日照时数和/或风速的明显减少可能是导致大多数地区潜在蒸散量减少的主要原因。     

近一千年来贺兰山积雪和气候变化

通过对历史文献中关于贺兰山积雪变化记录的研究,以及其他反映贺兰山气候变化的环境信息的分析,确认贺兰山地区西夏、元明时期为冷凉气候,积雪特征反映的气候变化与中国西部气候变化相一致。通过贺兰山与天山、太白山、点苍山积雪变化的比较,发现其时间变化过程和演化规律具有一致性,进而对12世纪寒冷期永久积雪下限进行推测。根据对一千年来贺兰山年日最低气温≤0℃日数的计算,认为12世纪寒冷期年平均气温较现代约低1.5²℃,推算当时贺兰山永久积雪下限为海拔3400³500m;以17世纪中叶为代表的小冰期年平均气温较现代约低1¹.5℃,推算当时贺兰山永久积雪下限为海拔3500³600m。     

北京山区建设用地扩展空间分异分析

根据目前描述建设用地扩展空间分异所用各种指数,结合山区扩展实际情况,提出了扩展程度指数的概念。并基于土地利用详查和变更数据,测算了1993¹996,1996¹999,1999²002三个不同阶段山区建设用地的扩展变化率、扩展强度和扩展程度等指数,分析了北京山区不同类型建设用地的扩展特征及其空间差异。结果表明:20世纪90年代以来,北京山区的建设用地发生了剧烈变化,建设用地扩展程度逐年增强,郊区城市化正向远郊区扩散。山区尚处于城市化的初级阶段,建设用地扩展存在不规则性,区域差异明显。扩展变化率、扩展强度和扩展程度等指数的结合使用更全面准确地描述了山区建设用地扩展及其空间分异状况。     

Simulation of future land-use scenarios in the Three Gorges Reservoir Region under the effects of multiple factors

Model simulation and scenario change analysis are the core contents of the future land-use change (LUC) study. In this paper, land use status data of the Three Gorges Reservoir Region (TGRR) in 1990 was used as base data. The relationship between driving factors and land-use change was analyzed by using binary logistic stepwise regression analysis, based on which land use in 2010 was simulated by CLUE-S model. After the inspection and determination of main parameters impacting on driving factors of land use in the TGRR, land use of this region in 2030 was simulated based on four scenarios, including natural growth, food security, migration-related construction and ecological conservation. The results were shown as follows: (1) The areas under ROC curves of land-use types (LUTs) were both greater than 0.8 under the analysis and inspection of binary logistic model. These LUTs include paddy field, dryland, woodland, grassland, construction land and water area. Therefore, it has a strong interpretation ability of driving factors on land use, which can be used in the estimation of land use probability distribution. (2) The Kappa coefficients, verified from the result of land-use simulation in 2010, were shown of paddy field 0.9, dryland 0.95, woodland 0.97, grassland 0.84, construction land 0.85 and water area 0.77. So the results of simulation could meet the needs of future simulation and prediction. (3) The results of multi-scenario simulation showed a spatial competitive relationship between different LUTs, and an influence on food security, migration-related construction and ecological conservation in the TGRR, including some land use actions such as the large-scale conversion from paddy field to dryland, the occupation on cultivated land, woodland and grassland for rapid expansion of construction land, the reclamation of woodland and grassland into cultivated land, returning steep sloping farmland back into woodland and grassland. Therefore, it is necessary to balance the needs of various aspects in land use optimization, to achieve the coordination between socio-economy and ecological environment.     

多因素耦合下三峡库区土地利用未来情景模拟（英文）

Model simulation and scenario change analysis are the core contents of the future land-use change(LUC) study. In this paper, land use status data of the Three Gorges Reservoir Region(TGRR) in 1990 was used as base data. The relationship between driving factors and land-use change was analyzed by using binary logistic stepwise regression analysis, based on which land use in 2010 was simulated by CLUE-S model. After the inspection and determination of main parameters impacting on driving factors of land use in the TGRR, land use of this region in 2030 was simulated based on four scenarios, including natural growth, food security, migration-related construction and ecological conservation. The results were shown as follows:(1) The areas under ROC curves of land-use types(LUTs) were both greater than 0.8 under the analysis and inspection of binary logistic model. These LUTs include paddy field, dryland, woodland, grassland, construction land and water area. Therefore, it has a strong interpretation ability of driving factors on land use, which can be used in the estimation of land use probability distribution.(2) The Kappa coefficients, verified from the result of land-use simulation in 2010, were shown of paddy field 0.9, dryland 0.95, woodland 0.97, grassland 0.84, construction land 0.85 and water area 0.77. So the results of simulation could meet the needs of future simulation and prediction.(3) The results of multi-scenario simulation showed a spatial competitive relationship between different LUTs, and an influence on food security, migration-related construction and ecological conservation in the TGRR, including some land use actions such as the large-scale conversion from paddy field to dryland, the occupation on cultivated land, woodland and grassland for rapid expansion of construction land, the reclamation of woodland and grassland into cultivated land, returning steep sloping farmland back into woodland and grassland. Therefore, it is necessary to balance the needs of various aspects in land use optimization, to achieve the coordination between socio-economy and ecological environment.     

基于遥感和GIS的松嫩沙地土地利用/土地覆被时空格局研究

利用1986年和2000年2期TM影像资料,建立相应的空间图形库系统,定量分析了松嫩沙地典型区近15a来土地利用数量变化,从土地利用斑块特征、斑块空间邻接关系变化和主导变化类型角度对土地利用/覆被格局进行了清晰的空间描述。结果表明,研究时段内该区土地利用量变和质变活跃。耕地面状成片、条带状延伸和斑块状空间扩展,从整体上呈现集中化特征。较大面积的草地和林地被分割、破碎化,小块盐碱化草地空间聚集与扩张。耕地与草地、草地与盐碱地空间相邻度变大,草地开垦强度增大、土地盐碱化日益严重。空间变化上表现为耕地、林地、草地和未利用地之间相互转化,以草地、林地-旱地,草地-未利用地,未利用地-旱地、水田及旱地-水田最为显著。     

贵州猫跳河流域土地利用变化和土壤侵蚀(英文)

Due to the extremely poor soil cover, a low soil-forming rate, and inappropriate intensive land use, soil erosion is a serious problem in Guizhou Province, which is located in the centre of the karst areas of Southwest China. In order to bring soil erosion under control and restore environment, the Chinese Government has initiated a serious of ecological rehabilitation projects such as the Grain-for-Green Programme and Natural Forest Protection Program and brought about tremendous influences on land-use change and soil erosion in Guizhou Province. This paper explored the relationship between land use and soil erosion in the Maotiao River watershed, a typical agricultural area with severe soil erosion in central Guizhou Province. In this study, we analyzed the spatio-temporal dynamic change of land-use type in Maotiao River watershed from 1973 to 2007 using Landsat MSS image in 1973, Landsat TM data in 1990 and 2007. Soil erosion change characteristics from 1973 to 2007, and soil loss among different land-use types were examined by integrating the Revised Universal Soil Loss Equation (RUSLE) with a GIS environment. The results indicate that changes in land use within the watershed have significantly affected soil erosion. From 1973 to 1990, dry farmland and rocky desertified land significantly increased. In contrast, shrubby land, other forestland and grassland significantly decreased, which caused accelerated soil erosion in the study area. This trend was reversed from 1990 to 2007 with an increased area of land-use types for ecological use owing to the implementation of environmental protection programs. Soil erosion also significantly varied among land-use types. Erosion was most serious in dry farmland and the lightest in paddy field. Dry farmland with a gradient of 6°-25° was the major contributor to soil erosion, and conservation practices should be taken in these areas. The results of this study provide useful information for decision makers and planners to take sustainable land use management and soil conservation measures in the area.     

阴山北麓不同用地方式下春季土壤可蚀性研究

阴山北麓位于中国北方农牧交错带内,此区属于生态环境脆弱地带,加之人类对土地资源的不合理利用,导致了严重的土壤风蚀问题,土壤可蚀性是影响土壤侵蚀大小的重要因素之一。本文通过对该区域土壤取样及室内理化分析,结合采样点的地表物质组成、植被覆盖度及土壤有机质含量等因素,分析了其潜在可蚀性。研究结果表明:阴山北麓草地的平均土壤潜在可蚀性最小,为63.82%,耕地的平均土壤潜在可蚀性最大,为66.05%,灌丛和林地居于其中,分别64.58%和64.88%。耕地的平均可蚀性>林地的平均可蚀性>灌丛的平均可蚀性>草地的平均可蚀性。随着春季温度的升高和不断的风蚀,土壤可蚀性也发生相应的变化,但这种变化并不是持续的,当温度达到一定程度时,土壤温度和湿度环境发生了变化,土壤潜在可蚀性反而降低,表现为第二次采样的土壤可蚀性>第三次采样的土壤可蚀性>第一次采样的土壤可蚀性。土地利用方式不同,土壤表层的理化性质、地表状况也会产生一定的差异,从而导致了表层土壤的潜在风蚀性不同。人类活动在土地利用过程中起主导作用,它是叠加在自然因素之上的影响土壤潜在风蚀性的人为因素。所以,应加强对耕地的保护,退耕还林草,减小其潜在风蚀性。     

黄土丘陵沟壑区典型小流域土地持续利用案例研究

本文选择我国水土流失最为严重的黄土丘陵沟壑区作为研究地区,通过野外调查、土地利用填图,结合区域国民经济发展规划提出了4种基本土地利用规划方案附加2种保护性耕作措施;开展了生态适宜性、经济可行性和社会可接受性评价。提出:在得到大量外部经济支持的前提下,应积极实行15°以上的坡耕地全部退耕还林还草的方案,其中在中等坡度的地区(15°-25°)应发展果园和经济林;若缺少外部强有力的经济支持,该区土地利用调整应逐步开展,短期内(约0-5年),建议坡度大于25°的坡耕地逐步退耕还林还草,其中,坡度大于25°,地形条件较好的地区应种植果园和经济林;中期(约5-10年),坡度大于20°的黄土地区应逐步退耕还林还草,其中坡度介于20°-25°之间的地区应转变为果园和经济林;10年之后,建议大于15°的坡耕地全部转变为其他用途,其中坡度介于15°-25°的黄土地区应转变为果园和经济林,坡度大于25°的地区转变为林地/灌丛和草地     

贵州石板桥水库沉积物的矿物磁性特征及其土壤侵蚀意义

对取自贵州省关岭县石板桥水库的岩芯做了矿物磁性测量（lχf、ARM、IRM20mT、SIRM、IRM-100mT）并计算了ARM/SIRM、HIRM、IRM-100mT/SIRM。将这些结果与同时完成的137Cs、粒度、TOC和C/N分析结果相结合,推测了过去的42年（1960²002年）中这一水库的汇水流域内的土壤侵蚀状况。在这一时期,尽管存在着若干次一级的波动,土壤侵蚀总体上呈加剧的趋势。将这些结果与收集的降水和土地利用/土地覆被变化资料数据相结合,探讨了土壤侵蚀状况发生变化的原因。土壤侵蚀的总体加剧可能是由1960年以来林地面积的减小和农田面积的增大以及1990年以来因植树而较强翻动地表物质造成的,而土壤侵蚀的次一级的波动可归结为降水的波动。     

岳西县土壤侵蚀空间分布与环境因子的关系

以岳西县2004年TM影像为数据源,通过目视解译的方法,得到2004年土壤侵蚀强度矢量图。利用Arc-GIS软件,将土壤侵蚀图与不同的环境因子图进行叠加分析,探讨了岳西县2004年土壤侵蚀空间分布与环境因子的关系。结果表明:从土壤侵蚀与土壤类型的关系看,土壤侵蚀主要发生在麻石黄棕壤、黄棕壤性麻石土及麻石棕壤上。从不同土地利用方式看,侵蚀土壤主要发生在有林地、灌木林、水田、高覆盖草地地区。从土壤侵蚀与坡度的关系看,土壤侵蚀主要发生在3°～25°的坡度上,尤其在8°～25°坡度上居多。从土壤侵蚀与坡向的关系看,山地的北坡、西南坡、西坡及西北坡容易发生土壤侵蚀。从土壤侵蚀与海拔的关系看,200～1000 m地区土壤侵蚀比较显著,尤其500～1000 m的地区土壤侵蚀发生量多。     

Soil erosion in China based on the 2000 national remote sensing survey

This paper discussed the spatial distribution of soil erosion in China at the end of the 20th century based on the second national soil erosion survey. The result indicated soil erosion is still the prime environmental problem in China. Soil erosion mainly occurs in the western regions of China, and the slight erosion type, ion the whole, exerts the greatest impact on soil erosion pattern. The distribution of water erosion shows the impact of landforms: slight water erosion mainly in mountainous and hilly areas, and half of violent water erosion on the loess landforms. Farmland, forestland and grassland are the major land use types of slight hydraulic erosion distribution, while the serious hydraulic erosion and slight wind erosion mainly occur on grassland. Thus, the conservation of the grassland is the key to either hydraulic and wind erosion control. The huangmian soil (a major type of cultivated soil developed from loess mother material) is the one facing the most serious threat from soil erosion in Chinas soil resources. Further discussion on the soil erosion distribution still needs more research on the method and relevant data analysis.     

Soil erosion in China based on the 2000 national remote sensing survey

This paper discussed the spatial distribution of soil erosion in China at the end of the 20th century based on the second national soil erosion survey. The result indicated soil erosion is still the prime environmental problem in China. Soil erosion mainly occurs in the western regions of China, and the slight erosion type, ion the whole, exerts the greatest impact on soil erosion pattern. The distribution of water erosion shows the impact of landforms: slight water erosion mainly in mountainous and hilly areas, and half of violent water erosion on the loess landforms. Farmland, forestland and grassland are the major land use types of slight hydraulic erosion distribution, while the serious hydraulic erosion and slight wind erosion mainly occur on grassland. Thus, the conservation of the grassland is the key to either hydraulic and wind erosion control. The huangmian soil (a major type of cultivated soil developed from loess mother material) is the one facing the most serious threat from soil erosion in Chinas soil resources. Further discussion on the soil erosion distribution still needs more research on the method and relevant data analysis.