利用~(137)Cs示踪技术与土壤化学物质研究滇池流域土壤侵蚀

核素示踪技术研究作为一种新的土壤侵蚀研究方法,已经在土壤侵蚀研究中获得了极大应用,并在土壤侵蚀的沉积、侵蚀、运移研究上取得许多成果.采用放射性核素作为土壤示踪剂,可以很好的进行流域尺度的范围研究,且可靠性比较高,省时省力.云贵高原在处于我国的西南地区,是我国南方水土流失严重的地区之一.该地区缺乏较长时间的资料积累,仅通过短时间的测定,无法准确估算中长期(约50 a)的平均土壤侵蚀速率.文章应用137Cs示踪技术,并结合土壤有机碳、全氮等土壤化学物质,首次研究了云南省滇池流域土壤侵蚀的强度分异规律.1)山坡不同部位的土壤侵蚀速率大小顺序是:坡中部>坡下部>坡上部,坡位是影响土壤侵蚀的重要因素.2)土壤利用方式上看,非耕地(林地和撂荒地)的侵蚀速率小于耕地的侵蚀速率.同一种土地利用方式下,由于耕作措施与耕作方法的差异,也会直接影响到土壤侵蚀的速率大小.3)从土壤侵蚀模数来看,区域整体上属于轻度侵蚀.土壤平均侵蚀速率为1280.2 t·km-2·a-1,其中耕地的平均土壤侵蚀速率为1672.8 t·km-2·a-1,非耕地土壤平均侵蚀模数为1161.2 t·km-2·a-1.4)虽然是轻度侵蚀,但是随着土壤侵蚀的进行,土壤有机碳、氮等的流失,造成土地退化较为严重,这给当地的生态环境带来直接的危害:滇池土壤淤积,土壤中的有机质、化肥等物质也直接随土壤流入滇池,会导致水体富营养化和水质变差.     

渭河流域土壤侵蚀时空特征及其地理探测

基于GIS和RS技术,利用RUSLE模型研究渭河流域2000—2015年土壤侵蚀时空分异特征,并运用地理探测器对其影响因素进行研究,结果表明:(1)2000—2015年渭河流域土壤侵蚀模数呈减小趋势,2000、2005、2010和2015年平均土壤侵蚀模数分别为50.724、42.270、39.716和35.944 t·hm~(-2)·a~(-1),侵蚀总量减少1.959亿t,大部分地区土壤侵蚀强度向低级别转化;(2)流域土壤侵蚀强度较大区域主要分布在陇东黄土高原区及陇中黄土丘陵区,较小区域主要分布在关中平原和河谷平原。(3)植被覆盖度、造林面积和降雨量是影响流域土壤侵蚀空间分布的主要因素,且不同因子的交互作用均会增强对土壤侵蚀的解释力。(4)植被覆盖度小于0.3、降雨量在481.27～547.75 mm区间、海拔处于3 282～3 874 m区间以及坡度位于20°～25°区间的地区为流域土壤侵蚀高风险区。     

天山北坡山地森林林地产流产沙特征及其影响因素分析

植被格局对森林水文过程具有显著影响,量化分析不同植被类型的产流产沙特征很有必要。为探究天山北坡山地森林产流产沙特征及其影响因素,依托天山森林生态系统定位研究站,依据植被类型、林龄、郁闭度、人工林管理方式设置坡面径流观测场14个,对产流产沙量进行了6年的观测,结果表明,(1)各样地的产流产沙量在年际间随降雨量有较大差异,降雨量与产流产沙量相关性显著,并呈多项式分布(P=0—2.952×10~(-7),r~2=0.464—0.698)。(2)裸地的径流系数和土壤侵蚀模数显著高于其他植被类型(P0.001);天然林中,径流系数和土壤侵蚀模数随着林龄的增加逐渐降低,而土壤侵蚀模数在不同林龄间无显著差异(P=0.089—0.984);郁闭度为0.2和0.4的天然中龄林的径流系数和土壤侵蚀模数显著大于郁闭度为0.6和0.8的天然中龄林(P=0.008—0.021);人工林不同管理方式间产流产沙量无显著差异(P=0.657—0.992)。(3)通过径流系数、侵蚀模数与其影响因素的冗余分析和相关性分析,平均株高、郁闭度、冠层活枝高,土壤饱和含水量、枯落物厚度与径流系数和土壤侵蚀模数呈现负相关关系(r=-0.592—-0.842)。研究结果表明在天山北坡山地森林植被覆盖会减小森林地表径流量,而乔木林具有良好的减沙效果。     

基于GIS与QuickBird影像的小流域土壤侵蚀定量评价

基于GIS技术和QuickBird遥感影像,采用修正的通用土壤流失方程RUSLE作为评价模型,计算了清水沟小流域土壤侵蚀量,并结合土壤侵蚀强度分级标准,生成流域土壤侵蚀强度等级图;利用GIS的叠置分析功能,定量分析了土壤侵蚀与坡度和土地利用之间的关系,并针对不同水保措施预测了水土保持治理效果.结果表明清水沟小流域土壤侵蚀模数为75.02 t·hm-2·a-1,属强度侵蚀区,年水土流失量2.6×104 t;流域64.5%的泥沙来自于占流域面积仅28%的极强度和剧烈侵蚀区域;经分析,流域土壤侵蚀模数与坡度呈显著正相关,不同土地利用类型的土壤侵蚀模数大小排序依次为难利用地＞建设用地＞坡耕地＞园地＞草地＞林地;退耕还林是降低土壤侵蚀强度与减少水土流失量的主要途径.     

黄土高原植被破坏与重建过程中土壤侵蚀强度变化

运用137Cs示踪方法,通过采集不同利用方式的坡面土壤,研究了黄土高原典型丘陵区流域植被破坏与重建过程中土壤侵蚀强度的变化情况.研究结果表明:植被破坏耕垦后使137Cs遭受了大量流失,坡耕地耕垦时间越长,土壤侵蚀愈严重;植被恢复重建有效地减轻了侵蚀强度;通过比较刺槐林、果园及封禁自然恢复的撂荒地三种植被建造方式的土壤侵蚀模数,发现以封禁自然恢复的撂荒地土壤保持效果最好,其次是刺槐林,最差的是果园,其原因与果园的管理方式有关.立地条件不同的同种植被建造方式.土壤侵蚀强度差异较大,表现为峁坡阳坡此槐林地侵蚀模数远远大于谷坡阴坡刺槐林地.根据退耕时间不同的坡地土壤侵蚀强度的变化及流域土地利用类型的变化等方面对燕沟流域土壤侵蚀变化趋势作了进一步预测.     

陕北黄土高原陡坡耕地土壤侵蚀变异的空间格局

利用环境放射性核素137-Cs技术定量评价陕北黄土高原典型山坡地顺坡断面(240 m)土壤重新分布的空间变化及其影响因素.结果表明,黄土高原坡地土壤侵蚀率存在明显的空间格局,即山坡中、上部是土壤侵蚀最为严重的地带,土壤平均侵蚀速率高达82.8 t/(hm2(a)以上;山顶和坡脚侵蚀速率较小,土壤平均侵蚀速率分别为17.1 t/(hm2(a)及22.3 t/(hm2(a),而坡下部土壤侵蚀速率居中,土壤平均侵蚀速率为46.8 t/(hm2(a).坡度变化是影响该地区土壤侵蚀速率空间变化的主导因子.本研究结果对黄土高原坡地土壤侵蚀的预测预报和准确防治土壤流失具有重要价值.     

基于RUSLE模型的六盘水市土壤侵蚀评价

矿产资源的开采容易导致矿区土地资源破坏及生态环境恶化,为探索煤矿开采对土壤侵蚀的影响,分析矿区土地侵蚀状况。以贵州省西南部煤矿城市六盘水市为研究对象,基于土壤质地、地形、气候、土地覆盖和土地利用等数据,运用RUSLE模型,结合GIS空间分析方法,研究六盘水市土壤侵蚀现状及空间分布特征,着重分析煤矿区土壤侵蚀分布特征。结果表明:(1)六盘水市土壤侵蚀以微度、中度侵蚀为主,侵蚀严重区域主要集中在水城县东部和南部,六枝特区东部以及盘县中部。(2)土壤侵蚀主要发生在人类负向干扰活动强烈的林地、草地、旱地、煤矿区和裸地。(3)六盘水市南部煤矿区侵蚀较严重,以中度侵蚀为主,主要原因是采煤造成的地质灾害使土壤侵蚀抑制因素作用减弱。(4)私营煤矿区土壤侵蚀程度比国有煤矿区严重。私营煤矿区应在煤炭开采过程中加强保护与治理。     

基于遥感与GIS的土壤侵蚀强度快速估测方法

针对土壤侵蚀问题,提出了一种基于遥感数据、气象数据、土壤数据的区域土壤侵蚀快速估测方法。首先,通过对土壤侵蚀问题形成原因和影响因素的分析,确定土壤侵蚀敏感性因子;其次,利用遥感(RS)、GIS技术提取土壤侵蚀敏感性因子信息;然后,在GIS系统支持下,运用主成分分析方法,进行土壤侵蚀强度分级;以北京密云水库周边区域为例,进行了土壤侵蚀估测方法的应用,并对该区域的土壤侵蚀空间特征进行分析。研究结果表明:(1)区域土壤侵蚀快速估测方法与实际情况有较好的一致性;(2)密云水库周边地区土壤侵蚀以微度和轻度侵蚀为主,所占面积比例为67.51%,中度以上侵蚀仅占面积的1.46%;(3)土壤侵蚀受坡度、地貌影响明显,中度侵蚀主要发生在低山、丘陵区以耕地为主的土地利用上以及坡度在大于25°的阳坡地带。     

川中丘陵区紫色土坡耕地土壤侵蚀特征

利用137Cs示踪方法与耕作侵蚀模型评价了川中丘陵区紫色土坡耕地土壤侵蚀速率,并通过比较分析方法探讨了2种典型坡耕地-短陡坡与缓长坡耕地-土壤侵蚀特征差异。结果表明,短陡坡耕地土壤侵蚀速率高达52.6 t.hm-2.a-1,是缓长坡耕地土壤侵蚀速率（26.7 t.hm-2.a-1）的2倍。耕作侵蚀是短陡坡耕地的主要侵蚀过程,它整体性搬运土壤,其对土壤总侵蚀的贡献高达74%。水蚀是缓长坡耕地的主要侵蚀过程,其分选性搬运土壤,对土壤总侵蚀的贡献为55%。短陡坡耕地与缓长坡耕地土壤侵蚀速率均沿着向下坡方向逐渐降低,但短陡坡耕地土壤侵蚀速率下降梯度明显高于缓长坡耕地。耕作侵蚀导致两种坡耕地的坡顶土壤损失最为严重。因此,川中丘陵区的耕作侵蚀风险应该引起重视。     

雅鲁藏布江源区土壤侵蚀特征

以雅鲁藏布江源区所在的马泉河流域为研究区域,运用遥感和G IS技术对土壤侵蚀及其空间分布的地貌特征进行研究,结果表明:轻度及其以上强度土壤侵蚀面积为18 933.33 km2,占源区面积的71.86%;冻融侵蚀是土壤侵蚀的主要形式,占源区面积的82.53%;风力侵蚀占5.33%,集中分布在河谷宽谷段;水力侵蚀面积所占比例较小,以微度侵蚀为主。土壤侵蚀的地理分布规律受海拔高度的影响较大,垂直分异明显,主要发生在坡度等级较低、地势较平坦的地区。轻度以上冻融侵蚀主要分布在海拔4 600~5 200 m,且有20%以上集中在0°~5°坡地;风力侵蚀主要分布在海拔4 600~5 600 m、0°~25°坡地。极强烈风力侵蚀以西南坡向最大,南、西、东南坡和平地分布较少。强烈风力侵蚀以平地所占比例最大,东北和西2个坡向次之。坡向对冻融侵蚀影响较小。     

Effect of land use and land cover change on soil erosion and the spatio-temporal variation in Liupan Mountain Region, southern Ningxia, China

The Liupan Mountains are located in the southern Ningxia Hui Autonomous Region of China, that forms an important divide between landforms and biogeographic regions. The populated part of the Liupan Mountain Region has suffered tremendous ecological damage over time due to population pressure, excessive demand and inappropriate use of agricultural land resources. To present the relationship between land use/cover change and spatio-temporal variation of soil erosion, data sets of land use between the late 1980s and 2000 were obtained from Landsat Thematic Mapper (TM) imagery, and spatial models were used to characterize landscape and soil erosion conditions. Also, soil erosion in response to land use and land cover change were quantified and analyzed using data from geographical information systems and remote sensing. Soil erosion by water was the dominant mode of soil loss, while soil erosion by wind was only present on a relatively small area. The degree of soil erosion was classified into five severity classes: slight, light, moderate, severe, and very severe. Soil erosion in the Liupan Mountain Region increased between the late 1980s and 2000, both in terms of acreage and severity. Moderate, severe, and very severe eroded areas accounted for 54.86% of the total land area. The lightly eroded area decreased, while the moderately eroded area increased by 368817 ha (22%) followed by severe erosion with 146552 ha (8.8%), and very severe erosion by 97067.6 ha (5.8%). Soil loss on sloping cropland increased with slope gradients. About 90% of the cropland was located on slopes less than 15°. Most of the increase in soil erosion on cropland was due to conversion of steep slopes to cropland and degradation of grassland and increased activities. Soil erosion was severe on grassland with a moderate or low grass cover and on dry land. Human activities, cultivation on steep slopes, and overgrazing of pastures were the main reasons for the increase in erosion severity.     

Bayesian predictive inference for the proportion of eroded land in a small area in Iowa

There is an increasing interest in the quality of soil, especially for small geographical areas. We present a method to estimate the percent of the area in a county or hydrological basin that is eroded. There are sample data (for several counties in eastern Iowa) from the National Resources Inventory and population data on land use, land capability class, rainfall and slope length and steepness. Using the Gibbs sampler we perform Bayesian predictive inference to obtain estimates for the non-sampled units. These estimates, together with the sample data, provide an estimate of the proportion of the total area that is eroded. We assess the quality of fit of our model using two cross-validation exercises and graphical methods.     

Population pressure and land degradation: the case of Ethiopia

Literature published during the 1970s generated a number of important hypotheses on the possible harmful consequences of rapid population growth. The population pressure hypothesis (PPH) relates land degradation directly to population pressure, arguing that under comparable physical conditions, heavily eroded areas occur in highly populated regions. This hypothesis is tested using a multivariate analysis to identify factors responsible for the observed spatial distribution of soil erosion in Ethiopia. A severity of soil erosion index, a proxy for some types of water erosion, was chosen as the dependent variable. Because the dependent variable is categorical and ordinal, an ordinal cumulative logit model was chosen for the analysis. The key finding is that the probability of an area being classified above any given level of soil erosion rapidly increases as population exceeds the population-supporting capacity of its region. In other words, as pressure from people and livestock exceeds some threshold, a rapid degradation of land takes place.     

华南红壤坡面侵蚀水动力学机制试验研究

华南红壤区是我国发生潜在水土流失危害的重点区域之一,红壤坡地的水土流失现象较为严重。华南红壤地区气候温暖,雨量丰沛,降雨特点通常表现为强度大、历时长,暴雨或大暴雨事件频发,因此暴雨驱动因子影响作用更为显著,研究探讨华南红壤坡面侵蚀过程及动力特征有着重要的现实意义。通过室内35场不同雨强（30、60、90、120、180、210、270 mm·h-1）、不同坡度（5°、10°、15°、20°、25°）的人工模拟降雨试验,研究了华南红壤侵蚀的水动力学机制。主要取得以下研究结果：（1）红壤坡面侵蚀水流的流态大部分均处于＂层流—缓流区＂,除平均流速随着模拟雨强的增加而增加外,其他水动力参数（坡面侵蚀水流的阻力、曼宁糙率、径流剪切力、以及水流功）均会受到雨强和坡度改变的影响,但是不呈现特定的函数关系,规律不明显;（2）从水动力学角度解析了红壤坡面水蚀过程,得出了相对水深和曼宁糙率系数两种水动力因子共同组成的复合水动力特征参数,可作为表征不同雨强及坡度下的坡面水蚀侵蚀产沙的特征水动力参数指标。     

广东土地抗蚀潜势初步研究

利用计算机和地理信息系统软件．研究了广东省的土壤质地、土壤有机质、地势三个侵蚀因子对土壤侵蚀方面的影响，指出了广东土地抗蚀性极弱地区主要是湛江市、新丰县的小部分地区，而抗蚀性弱的区域则很大，约占全省土地面积的49．8％，遍布全省中部和南部．针对这样的现状，提出要减少抗蚀性弱和极弱地区的土壤侵蚀，必须做到：对土地的利用开垦进行统一规划；严禁乱伐森林；采取生物措施和工程措施相结合的方式防治土壤侵蚀的进一步变化．     

The Coastal Environmental Characteristics of Taiwan

There are three major factors affecting the coastal environment in Taiwan: tidal current, long-shore current and land subsidence. in Taiwan, most industrial areas are located on the southwestern coast. Most of the pollutants from the factories are discharged directly to the ocean, harbours or rivers. the pollutants in harbours or rivers will eventually be delivered to coastal waters. There, the tidal current is the major force dispersing the pollutants nearshore. the polluted water extends to an area about 5 km on both sides from the discharge source, and within about 3-4 km off-shore. in this study, Hsien-Da Harbour in southwestern Taiwan is cited to explain the effects of tidal current on the coastal environment. the long-shore current induced by breaking waves is the major force shaping the coastal morphology. Along the western coast of Taiwan, the long-shore current mainly flows northward along the southern section, and southward along the northern section. in the last one hundred years, in general, the coast has been eroded along the northern and southern sections of western coast, and some reclaimed lands were formed in the middle section. Recently, erosion in some coastal zones is quite serious because of excess groundwater extraction, especially along the southwestern coast. Groundwater extraction might also induce land subsidence. There are some areas near the coast which suffer serious land subsidence problems.     

The Coastal Environmental Characteristics of Taiwan

Abstract

There are three major factors affecting the coastal environment in Taiwan: tidal current, long-shore current and land subsidence. in Taiwan, most industrial areas are located on the southwestern coast. Most of the pollutants from the factories are discharged directly to the ocean, harbours or rivers. the pollutants in harbours or rivers will eventually be delivered to coastal waters. There, the tidal current is the major force dispersing the pollutants nearshore. the polluted water extends to an area about 5 km on both sides from the discharge source, and within about 3–4 km off-shore. in this study, Hsien-Da Harbour in southwestern Taiwan is cited to explain the effects of tidal current on the coastal environment. the long-shore current induced by breaking waves is the major force shaping the coastal morphology. Along the western coast of Taiwan, the long-shore current mainly flows northward along the southern section, and southward along the northern section. in the last one hundred years, in general, the coast has been eroded along the northern and southern sections of western coast, and some reclaimed lands were formed in the middle section. Recently, erosion in some coastal zones is quite serious because of excess groundwater extraction, especially along the southwestern coast. Groundwater extraction might also induce land subsidence. There are some areas near the coast which suffer serious land subsidence problems.     

三峡库区生态环境综合评价与聚类分析

三峡库区是我国水土流失比较严重的地区之一 ,面临着生物多样性下降、生态系统功能降低、农业非点源污染加剧、岸边污染带扩大、水质恶化等一系列的环境问题。本文在建立生态环境综合评价指标体系的基础上 ,根据三峡库区不同地区生态环境问题的相似性和差异性 ,进行了聚类分析。依据聚类分析结果可以将该区 19个县市区划分为7类地区     

基于InVEST模型的三峡库区(重庆段)生境质量时空演变分析

为识别生境质量优劣的具体区域,揭示土地利用变化下生境质量时空演变特征,对集大农村、大库区于一体的三峡库区(重庆段)开展生境质量研究.以2000、2010及2020年土地利用数据为基础,运用InVEST模型对三峡库区(重庆段)2000—2020年生境质量进行定量评价,并结合转移矩阵方法挖掘了生境质量退化的具体区域.结果表...