海南省松涛水库流域土壤侵蚀及控制方案

采用RS和GIS技术,基于USLE方程实现了热带地区海南岛松涛水库流域2003~2005年平均土壤侵蚀的定量模拟,通过情景分析研究了流域土壤侵蚀控制方案。结果表明:流域内潜在土壤侵蚀量约为4261万t/a,超过容许土壤流失量的60倍;在植被的保护下,现有年均土壤侵蚀量约为51.46万t/a,主要集中在退化的林地、浆纸林和橡胶林;流域平均土壤侵蚀模数略低于容许土壤流失量,但空间分布不均,部分区域侵蚀发育强烈;如对经济林、园地和耕地采取水土保持措施或恢复林草植被,能有效控制流域内土壤侵蚀,分别减少侵蚀量22.46万t和14.15万t,减少侵蚀面积98.48km²和65.90km²。     

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。     

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。     

长江上游离子径流量的估算及时空变化特征

离子径流是河流水文要素之一。本文估算了流域侵蚀强度较大的长江上遊地区的离子径流量为9140.3×10^4t,平均离子总量为202.7mg/l,离子流量为2898k''s,离子径流模数为90.9t''km²;初步分析了这些离子径流特征值的时空变化特征。     

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。     

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。     

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。     

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。     

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。     

Driving forces of land use and land cover change (LUCC) in the Zoige Wetland, Qinghai-Tibetan Plateau

The Zoige Wetland is located in the northeastern Qinghai-Tibetan Plateau, which is highly sensitive to global environment change and human disturbance because of its high elevation and cold environment, thus, it’s a hotspot for land use and land cover change (LUCC) research. We used Landsat MSS images from 1975, Landsat ETM images from 2000, and Landsat TM images from 1990 and 2005 to assess the LUCC in the study area, using GIS techniques, as well as topographic, vegetation, and soil maps combined with field investigations. The monitoring result shows that the study area’s environment degraded rapidly between 1975 and 2005, including wetland shrinkage from 5,308 km² to 4,980 km², sandy land expansion from 112 km² to 137 km², forest land decreasing from 5,686 km² to 5,443 km², and grassland degradation from 12,309 km² to 10,672 km². According to the analysis of meteorological data and social-economic statistical data, we concluded that the LUCC in the Zoige Wetland was caused by both natural and anthropogenic factors, but human activities were primarily responsible for the observed LUCC, thereby, we suggest human behaviors must be adjusted to control environmental degradation.     

无定河流域不同地貌区水沙过程对比

为了查明人为影响程度较低时期无定河流域内不同地貌区的水沙过程及其变化规律,选取1970年以前一段时期该流域内风沙区和黄土丘陵沟壑区河流的有关水文站的水文泥沙实测数据进行对比分析。结果表明,风沙区河流的流量变率较黄土丘陵沟壑区的小;风沙区河流的含沙量远小于黄土丘陵沟壑区河流的含沙量。黄土丘陵沟壑区河流具有极高的输沙率,而风沙区河流的输沙率微不足道。风沙区和黄土丘陵沟壑区河流的产流模数基本相近,但产沙模数非常悬殊,前者的产沙模数很小,为118.58~725.38t /km² · a,而后者的达到1879.36~25112.15t /km² · a。显然,无定河流域黄土丘陵沟壑区的河流是侵蚀产沙的主要来源区,因而是水土保持工作的重点区域。     

长江干流河道对流域输沙的调节作用

利用长江干流和主要支流上测站1956~2004年的输沙量资料,对干流未测区域的来沙进行了估计。根据泥沙平衡 (Sediment budget) 概念,对长江干流河道的冲淤对来水来沙的响应以及对入海泥沙的影响进行研究发现,长江干流屏山至大通河道平均淤积速率为88.58×10⁶ t/a,河道淤积占总的来沙量及大通站输沙量比例分别为14%与21%。由于河道淤积,大通站输沙量减少了17.5%。总体来说上游淤积较轻,宜昌至汉口区间淤积严重,汉口至大通区间为微冲。长江干流的河道冲淤与流域总的来沙具有显著的相关关系,但各段河道的冲淤对流域来沙的响应各不一样。上游的冲淤与流域的径流量和来沙量均没有很好的相关性,宜昌-汉口段河道冲淤的变化与宜昌站的来沙具有显著的相关性;影响汉口-大通间河道的冲淤变化的主要因素是流域的来水量,河道的冲淤与大通站径流量的存在显著的负相关关系。三峡水库蓄水后整个长江干流的冲淤形势发生了根本的变化。三峡水库的蓄水运用有效地减轻了洞庭湖的泥沙淤积,同时也降低了洞庭湖的对长江干流泥沙的调节作用;长江上游干流河道淤积增强,中下游河道出现冲刷,但不同的河段表现不一;中下游河道冲刷量小于预测值,三峡水库的蓄水运用直接导致了长江入海泥沙的减少。     

长江上游社会经济因子对侵蚀产沙的影响

In recent years,the role of human activities in changing sediment yield has become more apparent for the construction of hydraulic engineering and water conservation projec-tions in the Upper Yangtze River,but it has not been evaluated at the macro scale.Taking Sichuan Province and Chongqing City as an example,this paper studies the relationship between socio-economic factors and sediment yield in the Upper Yangtze River based on section data in 1989 and 2007.The results show that sediment yield is significantly correlated with population density and cultivated area,in which the former appears to be more closely related to sediment yield.Moreover,in the relation of sediment yield vs.population density,a critical value of population density exists,below which the sediment yield increases with the increase of population density and over which the sediment yield increases with the decrease of population density.The phenomenon essentially reflects the influence of natural factors,such as topography,precipitation and soil property,and some human activities on sediment yield.The region with a higher population density than critical value is located in the east of the study area and is characterized by plains,hills and low mountains,whereas the opposite is located in the west and characterized by middle and high mountains.In the eastern region,more people live on the lands with a low slope where regional soil erosion is slight;therefore,sediment yield is negatively related with population density.In contrast,in the western region,the population tends to aggregate in the areas with abundant soil and water resources which usually lead to a higher intensity of natural erosion,and in turn,high-intensity agricultural practices in these areas may further strengthen local soil erosion.It is also found that popu-lation tends to move from the areas with bad environment and high sediment yield to the areas with more comfortable environment and less sediment yield.The natural factors have greater influence on sediment yield of western region than that of eastern region.Generally,the natural factors play a dominant role on sediment yield in the Upper Yangtze River.     

长江宜昌-武汉河段泥沙年冲淤量对水沙变化的响应

运用泥沙收支平衡 (Sediment budget) 的概念确定长江中游宜昌-武汉河段的泥沙冲淤量,并运用数理统计方法,研究了泥沙冲淤过程对水沙变化的响应。研究表明,所研究河段的输沙具有“多来多排”的特性,在平均的意义上,年输入沙量为年输出沙量的1.1345倍,由此求得总净来沙中有11.85%淤积在河道中。河段出口输出沙量随时间而增大,大致在1980年达到峰值,然后再减小。1980年以前河段出口输出沙量的增大,与3口分沙减少 (等价于河段净来沙增多) 和下荆江人工裁弯 (使河道输沙能力增大,因而可以将更多的泥沙输送到河段出口以下) 有关,1980年以后的减少,则与宜昌站来沙量的显著减少有关。建立了1980~1997年间宜昌-汉口#河段年冲淤量与宜昌站年来沙量之间的回归方程,通过该方程估算出使宜昌-汉口河段不淤的宜昌站临界来沙量为3亿t/a。为了定量评价宜昌站的来水量和来沙量以及3口分水比和分沙比、宜昌站洪峰流量的变化对于河段冲淤量的相对贡献,我们以1980~1997年和1955~1997年两个时间系列的数据分别建立了多元回归方程。1980~1997年间的方程表明,宜昌站的来水量和来沙量以及3口分水比和分沙比、宜昌站洪峰流量的变化对宜昌-汉口河段年冲淤量的贡献率分别为6.23%、31.56%、25.77%、32.71%和3.73%。     

Analysis of deposition and erosion of Dongting Lake by GIS

The Dongting Lake is located in the south beach of the middle reaches of the Yangtze River. Its catchment, with an area of 262,823 km2 or about 12% of the total Yangtze River catchment, is situated between 28o43?29o32扤 and 112o54?113o8扙, and crosses Hubei and Hunan provinces in administrative division. The main tributaries include Xiangjiang, Zishui, Yuanjiang, Lishui rivers (4 Tributaries) and some local rivers, such as Miluo River, Xinqiang River and other little streams. In the nor…     

Analysis of deposition and erosion of Dongting Lake by GIS

The sediments of the Dongting Lake come from four channels (one of them was closed in 1959), connected with the Yangtze River, four tributaries (Lishui, Yuanjiang, Zishui and Xiangjiang) and local area, and some of them are transported into the Yangtze River in Chenglingji, which is located at the exit of the Dongting Lake, some of them deposit into drainage system in the lake region and the rest deposit into the lake. The annual mean sediment is 166,555x104 t, of which 80% come from the four channels, 18% from the four tributaries and 2% from local area, whereas 26% of the total sediments are transported into the Yangtze River and 74% deposited into the lake and the lake drainage system. Based on topographic maps of 1974, 1988 and 1998, and the spatial analysis method with geographic information system (GIS), changes in sediment deposition and erosion are studied in this paper. By overlay analysis of 1974 and 1988, 1988 and 1998, erosion and sediments deposition areas are defined. The main conclusions are: (1) sediment rate in the lake is larger than erosion rate from 1974 to 1998. The mean deposition in the lake is 0.43 m; (2) annual sediment deposition is the same between 1974-1988 and 1988-1998, but the annual volume of deposition and erosion of 1988-1998 is bigger than that in 1974-1988; (3) before the completion of the Three Gorges Reservoir, there will be 7.82x108 m3 of sediments deposited in the lake, which would make the lake silted up by 0.33 m; (4) in the lake, the deposition area is found in the north of the east Dongting Lake, the south-west of the south Dongting Lake, and the east of the west Dongting Lake; while the eroded area is in the south of the east Dongting Lake, the middle of the south Dongting Lake, the west of the west Dongting Lake, as well as Xiangjiang and Lishui river flood channels.     

海河流域产沙模数尺度效应的空间分异

基于流域完整性、地形的相似性,将整个海河流域分为9 个分区,分析了各分区产沙模数的尺度效应。结果表明,在双对数坐标系上,产沙模数与流域面积的关系呈现出3 种类型：① 线性负相关,即产沙模数随流域面积的增大而减小;② 无显著相关,即产沙模数随流域面积的增大基本保持不变;③ 线性正相关,即产沙模数随流域面积的增大而增大。从地形、分区的位置以及土地利用状况方面对所有分区产沙模数的尺度效应进行分析,并对1000 km²标准面积下产沙模数进行校正。基于校正后的数据,利用ArcGIS 的Kriging 空间插值法,绘制了校正后的产沙模数图。校正结果显示,流域侵蚀模数的空间分布总体表现为自西向东逐渐减小的趋势,这与流域地形的总体变化趋势是一致的。流域西部以山地为主,因而侵蚀强度大,产沙模数高;东部以平原为主,是泥沙的淤积区域,因而产沙模数低。最后,对图中产沙模数的高值区域,从气候、植被和侵蚀作用力3 个方面进行了成因分析。     

长江上游侵蚀产沙与社会经济因子的关系

近年来,随着一系列水利水保工程的建设和使用,长江上游地区人类活动改变泥沙过程的作用越发明显,有必要对其地位和作用进行宏观层面的分析。以四川省和重庆市为例,利用2007 年和1989 年县域截面数据研究了长江上游侵蚀产沙与社会经济因子的关系,结果表明：人口密度、耕地面积与侵蚀产沙具有显著的相关性,其中人口密度与侵蚀产沙的联系更为紧密,并且存在一个临界区间,当人口密度超过这个临界,侵蚀产沙随着人口密度与耕地面积的增加而减少;反之,则侵蚀产沙随着人口密度的增加而增加。这种临界现象实质上体现了地形、降水、土壤等自然环境对产沙的影响,也有部分人为作用。从时空变化来看,人口在不断的向产沙较少、自然条件良好的地区集中,从产沙较多、不适宜生产生活的地区迁离。自然因子对东部高人口密度地区产沙影响较小,对西部低人口密度地区的影响较大。总体上,自然因子对长江上游产沙格局的影响占主导。