基于RS和GIS的干旱荒漠区域土壤侵蚀动态监测与评价

为建立土壤侵蚀动态变化数据库，本文以土地利用数据、植被覆盖指数、最大风速等值线图和DEM数据为信息源，对干旱荒漠区新疆克拉玛依市2000年和2007年的土壤侵蚀状况进行了动态监测与评价。结果表明，受自然条件和人类活动影响，8年间克拉玛依市土壤侵蚀强度有所增加，变化区域主要集中在克拉玛依市中部平原区。该方法的应用实现了土壤侵蚀的定时定量评价。     

基于地形坡度的大别山区商城县土壤侵蚀研究

使用基于地形坡度的土壤侵蚀要素提取方法,选择大别山区商城县为研究区,利用TM/OLI和SPOT 5/GF-1数据得到植被覆盖度和土地利用类型图,并结合DEM数据生成的地形坡度因子,基于GIS/RS提取土壤侵蚀信息及其时空变化量。结果显示,研究区2011年和2016年的土壤侵蚀主要分布在南部中低山地区,以轻度侵蚀为主,分别占总侵蚀面积的81.13%和83.97%;土壤侵蚀主要发生在坡度为5°～25°的区域,且随着坡度增大土壤侵蚀越严重;耕地的土壤侵蚀最严重;2011—2016年间虽然大部分区域土壤侵蚀状况不变,但整体有所加重。     

伊犁低山丘陵区小流域水土保持措施优化配置研究

在调查分析伊犁低山丘陵区水土流失特点的基础上，研究了该区小流域水土保持措施的空间配置。结果表明：伊犁低山丘陵区水土流失主要表现为以水力侵蚀为主的多种土壤侵蚀类型作用下的坡面侵蚀和沟道侵蚀。针对其水土流失特点，伊犁低山丘陵区小流域水土保持措施优化配置为：以生态修复为主，上游地区封禁保护；中游地区种植水保林和经济林带，建立生态缓冲带；下游水平沟种草。通过综合治理开展水土保持生态环境建设，至2012年底，伊犁低山丘陵区治理程度达到77．33％，林草覆盖率48％，改善了当地生态环境。     

土壤侵蚀的环境磁学监测方法

依据土壤、沉积物磁性理论,河流或湖泊的悬移物和沉积物记载了其产地的磁信息,根据它们的磁性参数可以追踪其来源及分布范围;根据表土磁性增强现象,可以采用土壤剖面磁性变化方法来判断土壤侵蚀程度;另外,应用“磁性示踪剂”也是研究土壤侵蚀的有效手段。文章就这方面的国内外研究进展情况加以阐述,并对该方法的优缺点及发展前景提出看法。     

遥感技术在察布查尔县土壤侵蚀调查中的应用

依据陆地卫星TM遥感影像资料,在ERDAS软件下,通过室内判读与野外调查相结合的方法,解译出土地利用类型图、植被覆盖度图、坡度图。在建立知识库的基础上,利用土壤侵蚀专家分类系统,快速获得察布查尔县土壤侵蚀分类分级状况,为今后该区域的水土保持工作提供参考和依据。     

开封市生态功能区划方法与结果

根据开封市生态环境现状，利用不同的评价方法，对开封市的土壤侵蚀敏感性、生态功能重要性进行了评价．依据生态功能区划编制技术方案，得出了开封市生态功能区划结果．     

基于遥感和GIS的四川省草地动态变化分析

利用地理信息系统技术,在空间数据库平台的支持下,对四川省20世纪90年代中期到2000年间的草地动态变化特征、草地动态变化的背景特征及其空间分布特征进行了分析。研究表明,净增草地部分主要来源于耕地,净减草地部分的主要去向是林地。总体上,净增草地面积3812公顷,净增草地部分主要是在轻度土壤侵蚀区、中度土壤侵蚀区、剧烈土壤侵蚀区和强度土壤侵蚀区,坡度等级5、6和1的区域,环境等级5、6、4和1的区域;净减草地部分主要是在微度土壤侵蚀区和极强土壤侵蚀区,坡度等级3、2和4的区域,环境质量等级7和8的区域。净增草地的区域为川西北高原、丘陵和川西南山区,净增草地面积的前四个地州市是遂宁市、泸州市、巴中地区和广安市,净减少草地的区域为盆周山地和平原,净减少草地面积的前四个地州市是广元市、绵阳市、达川市和宜宾市。     

辽宁省生态清洁小流域抗生素监测及生态风险评估

于2021年10月对辽宁省生态清洁小流域抗生素的赋存浓度、分布特征进行了调查。采用风险商值法对小流域的抗生素生态风险进行评价。结果表明,辽宁省生态清洁小流域中8种抗生素均有不同程度检出,检出总质量浓度范围为0013～0.313 μg/L,平均值为0.072 μg/L;小流域中抗生素质量浓度均低于我国大部分河流和流域。不同类型抗生素空间分布规律差异明显,检测出的抗生素中,质量浓度最高的是罗红霉素（ROX）,检出率最高的是磺胺甲噁唑（SMX）;各监测点位抗生素组分的占比排序为：SMX＞ROX＞替米考星（TIC）＞氟苯尼考（FFC）;抗生素主要来源是畜禽养殖和生活污水。生态风险评价结果显示,ROX、脱水红霉素（ERY-H₂O）、诺氟沙星（NOR）和SMX存在高风险,其余种类呈现中、低风险。生态清洁小流域水体中暴露出的抗生素生态风险不容忽视,亟待进一步探究环境风险并采取有效的防治措施。     

降雨对坡面产沙及土壤养分流失的影响研究

为研究天然降雨条件下坡面产沙及土壤养分流失的变化规律,根据当地不同的种植模式,在野外标准径流小区进行试验.结果表明,采用玉米顺垄耕作坡面产沙量同I30关系最为密切,产沙量随I30的增大而增多;采用玉米横垄的耕作方式时,坡面产沙量同降雨量和降雨强度没有明显的变化规律.降雨量对径流中土壤养分流失量的影响不明显,而径流中土壤...     

开发建设项目水土保持监测与评价——以玛纳斯电厂三期扩建工程为例

对新疆玛纳斯电厂三期扩建工程进行水土保持监测与评价分析.结果表明,在工程施工初期,地表结构受到扰动与破坏,增加了水土流失量.到施工后期(水保方案运行期),随着对土体结构、地表状况和植被的逐渐恢复,人为扰动因素逐渐减少,地表开始逐步恢复,土壤侵蚀量也逐步趋于稳定.在项目区多数地段,工程施工并未引起大面积严重水土流失;项目...     

Adapting the RUSLE and GIS to model soil erosion risk in a mountains karst watershed, Guizhou Province, China

Soil erosion is a serious environmental problem in Guizhou Province, which is located in the centre of the karst areas of southwestern China. Unfortunately, Guizhou Province suffers from a lack of financial resources to research, monitor and model soil erosion at large watershed. In order to assess the soil erosion risk, soil erosion modeling at the watershed scale are urgently needed to be undertaken. This study integrated the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) to estimate soil loss and identify the risk erosion areas in the Maotiao River watershed, which is a typical rural watershed in Guizhou Province. All factors used in the RUSLE were calculated for the watershed using local data. It was classified into five categories ranging from minimal risk to extreme erosion risk depending on the calculated soil erosion amount. The soil erosion map was linked to land use, elevation and slope maps to explore the relationship between soil erosion and environmental factors and identify the areas of soil erosion risk. The results can be used to advice the local government in prioritizing the areas of immediate erosion mitigation. The integrated approach allows for relatively easy, fast, and cost-effective estimation of spatially distributed soil erosion. It thus indicates that RUSLE-GIS model is a useful and efficient tool for evaluating and mapping soil erosion risk at a large watershed scale in Guizhou Province.     

Use of USLE/GIS Methodology for Predicting Soil Loss in a Semiarid Agricultural Watershed

The Universal Soil Loss Equation (USLE) is an erosion model to estimate average soil loss that would generally result from splash, sheet, and rill erosion from agricultural plots. Recently, use of USLE has been extended as a useful tool predicting soil losses and planning control practices in agricultural watersheds by the effective integration of the GIS-based procedures to estimate the factor values in a grid cell basis. This study was performed in the Kazan Watershed located in the central Anatolia, Turkey, to predict soil erosion risk by the USLE/GIS methodology for planning conservation measures in the site. Rain erosivity (R), soil erodibility (K), and cover management factor (C) values of the model were calculated from erosivity map, soil map, and land use map of Turkey, respectively. R values were site-specifically corrected using DEM and climatic data. The topographical and hydrological effects on the soil loss were characterized by LS factor evaluated by the flow accumulation tool using DEM and watershed delineation techniques. From resulting soil loss map of the watershed, the magnitude of the soil erosion was estimated in terms of the different soil units and land uses and the most erosion-prone areas where irreversible soil losses occurred were reasonably located in the Kazan watershed. This could be very useful for deciding restoration practices to control the soil erosion of the sites to be severely influenced.     

An experimental method to verify soil conservation by check dams on the Loess Plateau, China

A successful experiment with a physical model requires necessary conditions of similarity. This study presents an experimental method with a semi-scale physical model. The model is used to monitor and verify soil conservation by check dams in a small watershed on the Loess Plateau of China. During experiments, the model–prototype ratio of geomorphic variables was kept constant under each rainfall event. Consequently, experimental data are available for verification of soil erosion processes in the field and for predicting soil loss in a model watershed with check dams. Thus, it can predict the amount of soil loss in a catchment. This study also mentions four criteria: similarities of watershed geometry, grain size and bare land, Froude number (Fr) for rainfall event, and soil erosion in downscaled models. The efficacy of the proposed method was confirmed using these criteria in two different downscaled model experiments. The B-Model, a large scale model, simulates watershed prototype. The two small scale models, D_a and D_b, have different erosion rates, but are the same size. These two models simulate hydraulic processes in the B-Model. Experiment results show that while soil loss in the small scale models was converted by multiplying the soil loss scale number, it was very close to that of the B-Model. Obviously, with a semi-scale physical model, experiments are available to verify and predict soil loss in a small watershed area with check dam system on the Loess Plateau, China.     

南方丘陵坡地茶园水土流失的环境效应

以安溪县感德镇坡耕地茶园为监控对象，小流域集水区为单元，分析茶园水土流失造成的环境问题。结果表明：在降雨的作用下，各养分元素存在不同程度的流失，小流域集水区水质偏酸性，71.2%的水质pH小于6；氨氮含量都在Ⅰ类标准，但总氮含量较高，均超出V类标准限值；悬浮物和降雨量存在正相关，相关系数为0.647，大到暴雨对悬浮物含量具有决定性作用，但悬浮物含量对降雨的响应具有滞后性。     

Effect of land use land cover change on soil erosion potential in an agricultural watershed

Universal soil loss equation (USLE) was used in conjunction with a geographic information system to determine the influence of land use and land cover change (LUCC) on soil erosion potential of a reservoir catchment during the period 1989 to 2004. Results showed that the mean soil erosion potential of the watershed was increased slightly from 12.11 t ha^???1 year^???1 in the year 1989 to 13.21 t ha^???1 year^???1 in the year 2004. Spatial analysis revealed that the disappearance of forest patches from relatively flat areas, increased in wasteland in steep slope, and intensification of cultivation practice in relatively more erosion-prone soil were the main factors contributing toward the increased soil erosion potential of the watershed during the study period. Results indicated that transition of other land use land cover (LUC) categories to cropland was the most detrimental to watershed in terms of soil loss while forest acted as the most effective barrier to soil loss. A p value of 0.5503 obtained for two-tailed paired t test between the mean erosion potential of microwatersheds in 1989 and 2004 also indicated towards a moderate change in soil erosion potential of the watershed over the studied period. This study revealed that the spatial location of LUC parcels with respect to terrain and associated soil properties should be an important consideration in soil erosion assessment process.     

The Environmental Implications of Soil Erosion in the United States

Soil erosion has both on-farm and off-farm impacts. Reductionof soil depth can impair the lands productivity, and thetransport of sediments can degrade streams, lakes, and estuaries. Since 1933, soil conservation policies have existedin the United States. Originally they focused on the on-farmbenefits of keeping soil on the land and increasing net farmincome. Beginning in the 1980s, however, policy goalsincreasingly included reductions in off-site impacts of erosion.As a consequence of conservation efforts associated withexplicit U.S. government policies, total soil erosion between1982 and 1992 was reduced by 32% and the sheet and rillerosion rate fell from an average of 4.1 tons per acre per yearin 1982 to 3.1 tons per acre in 1992 while the wind erosion ratefell from an average of 3.3 tons per acre per year to 2.4 tonsper acre per year over the same period. Still, soil erosion isimposing substantial social costs. These costs are estimated tobe about $37.6 billion annually. To further reduce soil erosionand thereby mitigate its social costs, there are a number ofpolicy options available to induce farmers to adopt conservationpractices including education and technical assistance, financial assistance, research and development, land retirement, andregulation and taxes.     

Spatial Variability of Soil Organic Carbon in Relation to Environmental Factors of a Typical Small Watershed in the Black Soil Region, Northeast China

A total of 292 soil samples were taken from surface soil (0–20 cm) of a typical small watershed–Tongshuang in the black soil region of Heilongjiang province, northeast China in June 2005 for examining the concentration of soil organic carbon (SOC). Spatial variability of SOC in relation to topography and land use was evaluated using classical statistics, geostatistics and geographic information system (GIS) analyses. The objective of this study was to provide a scientific basis for land management targeting at improving soil quality in this region. Classical statistical analysis results indicated that the variability of SOC was moderate (C _V = 0.30). Slope position and land use types were discriminating factors for its spatial variability. Geostatistics analyses showed that SOC had a strong spatial autocorrelation, which was mainly induced by structural factors. Mean concentration of SOC in surface soil was 2.27% in this watershed, which was a very low level in the northern black soil region of northeast China. In this small watershed, present soil and water conservation measures played an important role in controlling soil loss. But SOC's restoration was unsatisfactory. Nearly three-quarters of the area had worrisome productivity. How to improve SOC concentration targeting at soil fertility is a pressing need in the future.