长江中上游土壤自然侵蚀量及其估算方法

首先阐述了土壤侵蚀可分为自然侵蚀和人为加速侵蚀,自然侵蚀是自地球形成以来就普遍存在的一种自然现象;继而从夷平面、河流阶地、沉积盆地等侵蚀和堆积地貌形迹论述了第四纪以来长江中上游土壤自然侵蚀存在的佐证事实;在此基础上,依据侵蚀沉积相关原理,利用沉积物的厚度、面积和沉积时段分别计算了洞庭湖流域、鄱阳湖流域和古云梦泽流域全新世以来的自然侵蚀量,它们分别为264.2t/km² · a、 312.5t/km² · a和297.0t/km² · a;同时,本文还辅以川西和三峡地区的对比实验小区资料,现代自然侵蚀量分别为342.0t/km² · a、 75~270t/km² · a佐证历史自然侵蚀量。长江上中游区域的自然侵蚀量介于264.0t/km² · a ~342.0t/km² · a之间。流域平均自然侵蚀量是现代侵蚀量的50%~60%之间;本研究成果有助于对长江中上游现代土壤侵蚀的属性、演变过程有一个科学的认识;同时可为生态保护、环境友好建设目标提供背景参照物。     

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。     

黑土侵蚀速率及其对土壤质量的影响

利用¹³⁷Cs示踪法,研究了东北黑土耕作土壤的流失厚度和速率,探讨了水土流失对土壤机械组成、有机质、土壤水分、容重及其N、P含量的影响。结果表明:研究区侵蚀坡面¹³⁷Cs的分布深度在0～25cm,¹³⁷Cs的活度在1246.05±85.90～1499.45±101.73Bq/m²,侵蚀厚度可达0.316～0.433mm/a,侵蚀强度3033.6～3940.3t/km²·a,已属于中度侵蚀水平。水土流失造成土壤质地粗化,从坡顶向坡底,耕层土壤有机质增加、容重变化不大,含水量增加,土壤养分的“贫化”现象明显。     

典型黑土区小流域浅沟侵蚀季节差异分析

通过2005年对黑龙江鹤山农场两个小流域进行定位观测,研究了典型黑土区浅沟侵蚀特征及其季节差异,并对作物类型和耕作措施对浅沟侵蚀的影响进行了分析。结果表明,两流域年浅沟侵蚀量达285.9 m³ km^-2和290.8 m³ km^-2,仅浅沟侵蚀量就超过了黑土区的土壤允许侵蚀量。浅沟侵蚀量呈现出沿坡面波动的变化,沿坡面向下存在浅沟侵蚀的强弱交替带。春夏浅沟侵蚀在侵蚀强度、浅沟形态及主要影响因素3个方面存在差异,春季浅沟侵蚀受融雪、冻融影响显著,侵蚀较夏季严重;与春季相比,夏季浅沟长度变短、宽度变大、深度变浅,浅沟体积与长度的相关性较春季差,这与夏季暴雨历时短、雨强大以及植被盖度大有关。耕作措施和作物类型影响浅沟侵蚀深度和浅沟分布,尤其在夏季比较明显。     

基于RS的岷江流域土壤侵蚀变化及其驱动力分析

依据1995年、2000年土壤侵蚀遥感数据并结合2005年实地调查资料,研究岷江流域土壤侵蚀演变规律及其驱动力。研究结果表明:1)2000年岷江流域土壤侵蚀面积为19 907.7 km2(比1995年减少369.6 km2),占流域面积的43.77%,土壤侵蚀量为8 943.26万t,平均侵蚀模数1 966 t/(km2.a),以水蚀和中度侵蚀为主。2)选择降雨变化、土地利用变化、植被覆盖度变化3个自然因素和人口密度、万元GDP(作为经济发展指标)2个社会发展指标作为研究区土壤侵蚀变化的驱动因素。结果表明:2000年降雨侵蚀力对土壤侵蚀的影响是1995年的71%;森林覆盖率每增加1%,土壤侵蚀模数减少0.4%~7%,平均减少53 t/(km2.a);林地、草地面积之和与土壤侵蚀面积呈明显的线性相关,旱地面积与土壤侵蚀面积呈二次函数关系;土壤侵蚀面积、土壤侵蚀量与万元GDP呈指数关系;单位人口密度和县域土壤侵蚀面积与土壤侵蚀量均呈幂指数关系。     

西藏玛旁雍错流域冰川与湖泊变化及其对气候变化的响应

利用遥感和地理信息系统技术,基于1974,1990,1999和2003年4个不同时期的遥感影像,包括Landsat系列影像,ASTER影像和地形图,研究了玛旁雍错流域(面积7786 km²)内冰川与湖泊的变化及其对气候变化的响应。研究结果表明,由于气候变暖,在过去30年里该流域冰川和湖泊都以退为主,有进有退。自1974年到2003年,冰川面积从107.92 km²减少到100.39 km²,冰川退缩明显加速。由于年降水量减少、蒸发量增大,30年中湖泊总面积从782.24 km²减少到748.08 km²。湖面的缩小与扩涨都在加速,尤其是小湖泊变化更明显,湖泊的加速变化可能是青藏高原高海拔内陆流域水循环过程加速的表征之一。     

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%。     

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。     

长江上游输沙尺度效应研究

利用长江上游DEM、降雨、土地利用、土壤类型数据库,计算出通用土壤流失方程中代表影响侵蚀产沙的各因子,建立这些因子以及流域面积与长江上游268个水文站以上流域输沙模数回归关系,探讨上游侵蚀输沙的尺度效应。结果显示长江上游输沙模数与流域面积之间呈负幂函数单元回归关系,而且这一关系主要产生于降雨侵蚀力因子和土壤可蚀性因子随流域面积的变化。长江上游输沙模数随流域面积增大而降低主要发生在大约1×10⁴~1.58×10⁵km²之间。在考虑了影响侵蚀产沙因子对输沙模数的作用后,输沙模数与流域面积之间呈正幂函数相关,反映出上游输沙近源沉积的特征。分析还发现长江上游各主要支流输沙模数变化与流域尺度大小的关系和原因有明显不同。     

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.     

Dynamic identification of soil erosion risk in the middle reaches of the Yellow River Basin in China from 1978 to 2010

Soil erosion has become a significant environmental problem that threatens ecosystems globally. The risks posed by soil erosion, the trends in the spatial distribution in soil erosion, and the status, intensity, and conservation priority level in the middle reaches of the Yellow River Basin were identified from 1978 to 2010. This study employed a multi-criteria evaluation method integrated with GIS and multi-source remote sensing data including land use, slope gradient and vegetation fractional coverage (VFC). The erosion status in the study region improved from 1978 to 2010; areas of extremely severe, more severe, and severe soil erosion decreased from 0.05%, 0.94%, and 11.25% in 1978 to 0.04%, 0.81%, and 10.28% in 1998, respectively, and to 0.03%, 0.59%, and 6.87% in 2010, respectively. Compared to the period from 1978 to 1998, the area classed as improvement grade erosion increased by about 47,210.18 km² from 1998 to 2010, while the area classed as deterioration grade erosion decreased by about 17,738.29 km². Almost all severe erosion regions fall in the 1st and 2nd conservation priority levels, which areas accounted for 3.86% and 1.11% of the study area in the two periods, respectively. This study identified regions where soil erosion control is required and the results provide a reference for policymakers to implement soil conservation measures in the future.     

四川紫色土地区鹤鸣观小流域分布式侵蚀产沙模型

从四川省南部县鹤鸣观小流域Ⅱ号支沟为研究区,构建了适合紫色土地区小流域分布式侵蚀产沙模型。该模型以20m×20m栅格为空间步长,以10min为时间步长,定量分析鹤鸣观小流域Ⅱ号支沟水土流失程度,模拟了各时段每个栅格次降雨侵蚀产沙过程,计算了每个栅格次降雨径流量、侵蚀量与沉积量,并且运用递归算法计算出整个流域次降雨侵蚀产沙量,模型能够评价流域下垫面各因子空间分布不均匀性和人类活动的影响。在鹤鸣观小流域Ⅱ号支沟进行了模型的检验,模拟过程与实测结果符合较好。     

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。     

Rubber plantation and its relationship with topographical factors in the border region of China, Laos and Myanmar

Rubber plantation is the major land use type in Southeast Asia. Monitoring the spa- tial-temporal pattern of rubber plantation is significant for regional land resource development, eco-environmental protection, and maintaining border security. With remote sensing tech- nologies, we analyzed the rubber distribution pattern and spatial-temporal dynamic; with GIS and a newly proposed index of Planted Intensity （PI）, we further quantified the impacts and limits of topographical factors on rubber plantation in the border region of China, Laos and Myanmar （BRCLM） between 1980 and 2010. The results showed that： （1） As the dominant land use type in this border region, the acreage of rubber plantation was 6014 km2 in 2010, accounting for 8.17% of the total area. Viewing from the rubber plantation structure, the ratio of mature- （〉10 year） and young rubber plantation （〈 10 year） was 5：7. （2） From 1980 to 2010, rubber plantation expanded significantly in BRCLM, from 705 km2 to 6014 km2, nearly nine times. The distribution characteristics of rubber plantation varied from concentrated toward dispersed, from border inside to outside, and expanded further in all directions with Jinghong City as the center. （3） Restricted by the topographical factors, more than 4/5 proportion of rubber plantation concentrated in the appropriate elevation gradients between 600 and 1000 m, rarely occurred in elevations beyond 1200 m in BRCLM. Nearly 2/3 of rubber plantation concentrated on slopes of 8~-25~, rarely distributed on slopes above 35~. Rubber plantation was primarily distributed in south and east aspects, relatively few in north and west aspects. Rubber planted intensity displayed the similar distribution trend. （4） Comparative studies of rubber plantation in different countries showed that there was a remarkable increase in area at higher elevations and steeper slopes in China, while there were large appropriate topog- raphical gradients for rubber plantation in Laos and Myanmar which benefited China for rubber trans-boundary expansion. （5） Rubber plantation in BRCLM will definitely expend cross borders of China to the territories of Laos and Myanmar, and the continuous expansion in the border region of China will be inevitable.     

The application of an expert knowledge‐driven approach for assessing gully erosion susceptibility in the subtropical Nigerian savannah

This study assessed gully erosion susceptibility in Southern Gombe State, Nigeria. The objectives of the study were to: (1) prepare gully inventory of Southern Gombe State, (2) apply the Analytical Hierarchy Process to assess the contribution of gully erosion predisposing factors, and (3) produce a gully erosion susceptibility map of Southern Gombe State. Based on geomorphological study involving interpretation of Google Earth images and field surveys, 127 gullies were identified and 13 gully erosion predisposing factors assumed to influence gully erosion susceptibility were selected. Identified gullies were randomly split into training (89 or 70 per cent) and validation (38 or 30 per cent) datasets. The contribution of each gully erosion predisposing factor was obtained using the Analytical Hierarchy Process. The results indicated that slope (0.130), stream density (0.121), and distance from stream (0.121) play crucial roles in gully erosion susceptibility. By overlaying the gully erosion susceptibility factor maps, a gully erosion susceptibility map was created. A natural break method was then used to classify gully erosion areas into relatively safe (6.04 km²), less susceptible (3332.46 km²), moderately susceptible (1811.49 km²), highly susceptible (1146.35 km²), and extremely susceptible (1726.77 km²) categories. Field verification confirmed that the map accurately classified 92.11 per cent of the validation datasets, signifying the Analytical Hierarchy Process as a reliable method for gully erosion susceptibility assessment. The created gully erosion susceptibility map can assist land planners to identify critical gully erosion areas where prevention and mitigation actions should be implemented.     

黄土高原土壤侵蚀规律研究工作回顾

1950年以来,黄土高原土壤侵蚀规律研究工作已建立了完整的分类系统,进行了侵蚀区划,查明了黄河泥沙及其中的粗泥沙来源。定量评价了各自然因子和人为因子与侵蚀量的关系。黄河自古多沙,而近期更加强烈。指出了过去研究工作中的主要问题。     

应用EUROSEM模型对三峡库区陡坡地水力侵蚀的模拟研究

三峡库区坡地资源被广泛利用,但水土保持措施没有被很好地利用。坡地,尤其是陡坡地是库区主要泥沙来源,因此,有效评估土壤侵蚀风险、预测径流和侵蚀速率以及选择合理的水土保持措施在该地区显得非常必要。EUROSEM模型是动态分布式模型,可以在单独地块或小流域中预测水力侵蚀强度,其特点比较适合库区土壤侵蚀预测预报。本研究以在三峡库区秭归县王家桥小流域水土保持试验站的标准径流小区的人工降雨资料为基础,应用EUROSEM模型模拟陡坡地中的侵蚀状况。模拟结果表明,EUROSEM对人工降雨中径流模拟效果较好,但对土壤流失的模拟效果相对较差,更精确地模拟库区陡坡地的土壤侵蚀状况则需要作进一步的研究     

A 42-yr soil erosion record inferred from mineral magnetism of reservoir sediments in a small carbonate-rock catchment,Guizhou Plateau,southwest China

Shibanqiao Reservoir (25°56′56.5′′ N, 105°26′44.5′′ E and ∼1400 m a.s.l.), southwest Guizhou Plateau, SW China, was built in 1958. It lies in an area of sub-tropical monsoon humid climate in a carbonate-rock-dominated catchment of 6 km². Two sediment cores (24 and 23 cm long) were retrieved from the reservoir, and four soil profiles were sampled in the catchment. Mineral magnetism was measured on all sediment and soil samples. Soil and sediment magnetic measurements together with analyses of sediment ¹³⁷Cs activity, particle-size, TOC, and C/N revealed changes in soil erosion between 1960 and 2002. During some phases, erosion (probably as splashing and/or sheeting) was relatively low and tended to take place only in the topsoil as indicated by high ARM/SIRM of the sediments. During other phases, erosion (probably as rilling and/or initial gullying) was relatively intense and thus disturbed the deeper soils, as expressed by high IRM_−100mT/SIRM. Most of the changes in relative intensity of erosion can be ascribed to fluctuations in precipitation. Changes in land use/land cover or human activities may account, in part, for changes in soil erosion inferred for four more roughly identified periods.