鹤壁矿区土地利用与土壤侵蚀的关系研究

以河北省鹤壁矿区为研究区域,运用GIS和RS技术分析、研究了区域土壤侵蚀强度和土地利用状况.通过SPSS软件包的统计分析,计算土地利用类型与土壤侵蚀强度的相关系数,其强弱依次为:耕地>有林地>荒草地>灌木林地>裸岩石砾地>裸地;计算土壤侵蚀率,其强弱依次为:裸地>裸岩石砾地>灌木林地>荒草地>有林地>耕地.在此基础上进行了鹤壁矿区土地利用类型与土壤侵蚀的关系分析.结果表明,土地利用类型的土壤侵蚀率越低,则土地利用与土壤侵蚀强度的相关性越强.     

基于GIS/RS的地震灾区流域水土保持功能恢复效应评价

水土保持在维护区域生态安全中具有重要作用.“5.12”汶川地震中,茶坪山区域水土保持功能严重受损,经过4年时间,其恢复效果及变化趋势如何,是决策者迫切需要的重要信息.利用TM影像,解译了研究小流域2007、2008、2011年地震前后3个时段的土地利用图.基于GIS和RS,利用RUSLE模型分别计算了3个时段土壤侵蚀量和侵蚀强度.通过对比,分析了水土保持功能恢复效应.结果表明:总面积474.41km2的研究区内,2007年土壤侵蚀总量4.061×105t,2008年土壤侵蚀总量6.997×105t,增加了72.30％.2011年土壤侵蚀总量6.163×105t,相比2008年,土壤侵蚀总量减少了11.92％,水土保持功能有所恢复.分析发现,地震前后3个年份各侵蚀强度级别的面积都是随侵蚀强度的增加而减少,说明地震破坏及恢复期,土壤侵蚀强度的面积分布格局并未改变.     

非点源污染模型中土壤侵蚀因子研究进展

非点源污染模型是进行非点源污染模拟研究的重要手段，而土壤侵蚀模型是非点源污染模型的基础，土壤侵蚀因子的研究是土壤侵蚀模型的重要基础。本文对国内外主要土壤侵蚀因子研究的成果进行了概述，并指出在今后相当一段时期内，土壤侵蚀因子的研究仍是土壤侵蚀模型研究的重要工作。     

安徽省淮北地区土壤侵蚀量估算与评价

应用修正过的土壤流失方程(USLE),在GIS技术的支持下,确定了淮北地区的降雨因子、土壤侵蚀因子、植被覆盖因子、水土保持因子和坡度坡长因子,估算了这一地区的水土流失模数,评价了区域内土壤侵蚀分布特征,以期为本区水土保持布局提供理论支持.     

秦皇岛市土地利用结构与土壤侵蚀空间格局分析

利用3S技术和景观生态学原理,以小流域为单元对秦皇岛市土地利用结构和土壤侵蚀等级类型进行空间分析,得出了不同土地利用结构所占面积和不同土壤侵蚀类型所占面积及分布小流域,并详细分析了秦皇岛市土壤侵蚀的主要影响因子和不同土地利用结构侵蚀现状。     

秦皇岛市土壤侵蚀的特点、原因及保护对策

土壤侵蚀是一种危害严重、分布范围广的生态环境问题,影响人与自然的和谐共存,以及各业生产的可持续发展。通过分析秦皇岛市土壤侵蚀特点、原因,提出综合治理土壤侵蚀的对策和措施,以期为今后该区土壤侵蚀防治与治理提供科学依据。     

临沂市土壤侵蚀的经济损失分析

运用环境经济学理论与基本方法,估算并分析了临沂市及各县区水土流失经济损失的货币价值.结果表明,临沂市2010年土壤侵蚀经济损失总量为327.7069×106元;各县区单位面积土壤侵蚀经济损失由大到小依次是蒙阴＞苍山＞沂水＞平邑＞沂南＞费县＞莒南＞临沭＞罗庄＞兰山＞郯城＞河东,表明经济损失是自然因素与社会经济因素共同作用的结果.     

黄河中游多沙粗沙区侵蚀环境若干要素分析

通过黄委会对黄河中游多沙粗沙区范围的界定和有关学者对该区黄土区、风沙区和基岩区三种产沙区类型的划分，分析了影响该区土壤侵蚀的主要环境因素，如降水和风力、下垫面组成、地形和植被等因素，同时就该区内人为因素对土壤侵蚀的影响进行了分析，并提出了综合环境要素影响流域侵蚀的概念。     

基于SWAT模型的湘江株洲段汞面源污染负荷测算

采用SWAT模型模拟了湘江株洲段汞的面源污染负荷,结果表明,SWAT模型可对地表径流量、产流量、土壤侵蚀量进行较好的模拟。研究区汞面源污染负荷总量约为789.7kg/a,其中受污染土壤是面源负荷量的主要来源,占总污染负荷的91.38%。汞面源污染受区域降雨量引起的土壤侵蚀的影响尤其明显。     

青海东部山区水土流失对环境的危害及治理措施

青海东部系指日月山以东的黄河干流及其一级支流湟水流域、大通河流域。它是青海省的主要农业区,也是全省水土流失的重灾区,认识本区水土流失对环境的影响,探讨防治对策,对指导全省的水土保持工作,促进本区环境、经济建设和社会发展,具有重大的现实意义。青海东部水土流失的特征本区水土流失按强度分有三种,其中轻度侵蚀面积13416.1平方公里(土壤侵蚀模数500—2000吨/平方公里·年),占总面积的50.0％;中度侵蚀面积8011.3平方公里(土壤侵蚀模数2000—5000吨/平方公里·年),占总面积的29.9％;强度侵蚀面积5390平方公里(土壤侵蚀模数5000吨/平方公里·年),占总面积的20.1％。本区水土流失特征,从以下几方面可以看出。     

ESTIMATING THE WATER QUALITY BENEFITS FROM SOIL EROSION CONTROL1

ABSTRACT: A framework for estimating the water quality benefits from soil erosion was developed. The framework is based on the linkages between soil erosion and offsite damages. The linkages are: erosion on the field, movement of eroded materials to waterways, impact of discharged material on water quality parameters, impact of water quality changes on ability of water to provide economic services, and the economic value of the changes in water use. These linkages need to be modeled in order to estimate the water quality benefits from reductions in soil erosion. Methods for modeling each link on a geographic level, which enables the analyses of national soil conservation, were examined. Areas where data or models were found to be lacking include transport of sediment and nutrients to water systems, impact of discharged materials on water quality parameters, and impact of water quality on ability of water to provide economic services. An economic evaluation of 1983 soil conservation programs was presented as an example of how the framework could be used. A number of simplifying assumptions were made to represent links that could not be modeled with available data.     

秦皇岛市海港区土地生态环境保护和整治

当前土地生态环境安全是土地资源可持续利用的基础。近年,由于经济快速发展以及土地的不合理利用与高强度开发,秦皇岛市海港区局部出现了水土流失、土地质量退化、土地污染等土地生态环境问题,导致土地生态平衡的失调,甚至出现经济发展与土地生态环境破坏的恶性循环。通过分析海港区的土地利用现状、自然生态特征等,在充分认识土地生态环境现状及存在的问题的基础上,提出采取管护与保育并重,以生态经济和生态环境建设为重点等土地生态环境保护与整治措施。     

水磨河流域水土保持生态建设及其效益

水磨河流域是乌鲁木齐市水土流失最严重的地区,是工业发达的人口密集区,也是风景旅游区。但由于土壤侵蚀、暴雨成灾,每年造成很大经济损失。经过多年的生态和防洪工程建设,已使该流域生态环境大为改善,取得了生态经济效益。     

西蒙得木对金沙江干热河谷生态保护的作用

金沙江干热河谷生态条件恶劣，水土流失严重，对长江流域中下游特别是三峡大坝存在着极大的负面影响。治理长江流域，保护三峡大坝的重要源头是金沙江干热河谷的生态环境建设。西蒙得木生长的生态环境与金沙江干热河谷的生态环境非常相似，并且西蒙得木具有极高的经济价值，因此在金沙江干热河谷种植西蒙得木，既能改良生态环境，又能发展当地经济。     

Measurement of the scarcity of soil in agriculture

The paper defines the concept of land degradation and costs and effects of soil erosion. Through the concept of optimal levels of soil erosion, a conceptual model of the social costs of soil degradation is elaborated. The discussion focuses on the measurement aspects of the economic scarcity of soil in the agriculture sector. Reliable estimates of the true impacts of soil degradation can only be made if data on marginal damage costs and marginal conservation costs are available. The different scarcity indicators are evaluated and competitive land rental prices are considered as appropriate in indicating soil scarcity in agriculture.     

新疆水土流失及防治对策

新疆生态环境脆弱，水土流失严重，治理任务艰巨，近年来，随着新疆大开发建设，水土流失有加剧的态势，为保护人们居住的生存环境，治理水土流失已显得刻不容缓，为防治我区水土流失，首先应根据新疆水土流失的特点和目前水土保持工作中存在的主要问题，研究和提出水土流失防治的对策。     

Determination of Soil Erosion Risk in the Mustafakemalpasa River Basin, Turkey, Using the Revised Universal Soil Loss Equation, Geographic Information System, and Remote Sensing

Sediment transport from steep slopes and agricultural lands into the Uluabat Lake (a RAMSAR site) by the Mustafakemalpasa (MKP) River is a serious problem within the river basin. Predictive erosion models are useful tools for evaluating soil erosion and establishing soil erosion management plans. The Revised Universal Soil Loss Equation (RUSLE) function is a commonly used erosion model for this purpose in Turkey and the rest of the world. This research integrates the RUSLE within a geographic information system environment to investigate the spatial distribution of annual soil loss potential in the MKP River Basin. The rainfall erosivity factor was developed from local annual precipitation data using a modified Fournier index: The topographic factor was developed from a digital elevation model; the K factor was determined from a combination of the soil map and the geological map; and the land cover factor was generated from Landsat-7 Enhanced Thematic Mapper (ETM) images. According to the model, the total soil loss potential of the MKP River Basin from erosion by water was 11,296,063?Mg?year(-1) with an average soil loss of 11.2?Mg?year(-1). The RUSLE produces only local erosion values and cannot be used to estimate the sediment yield for a watershed. To estimate the sediment yield, sediment-delivery ratio equations were used and compared with the sediment-monitoring reports of the Dolluk stream gauging station on the MKP River, which collected data for >41?years (1964-2005). This station observes the overall efficiency of the sediment yield coming from the Orhaneli and Emet Rivers. The measured sediment in the Emet and Orhaneli sub-basins is 1,082,010?Mg?year(-1) and was estimated to be 1,640,947?Mg?year(-1) for the same two sub-basins. The measured sediment yield of the gauge station is 127.6?Mg?km(-2)?year(-1) but was estimated to be 170.2?Mg?km(-2) year(-1). The close match between the sediment amounts estimated using the RUSLE-geographic information system (GIS) combination and the measured values from the Dolluk sediment gauge station shows that the potential soil erosion risk of the MKP River Basin can be estimated correctly and reliably using the RUSLE function generated in a GIS environment.     

Evaluation of soil erosion risk using Analytic Network Process and GIS: A case study from Spanish mountain olive plantations

The study presents an approach that combined objective information such as sampling or experimental data with subjective information such as expert opinions. This combined approach was based on the Analytic Network Process method. It was applied to evaluate soil erosion risk and overcomes one of the drawbacks of USLE/RUSLE soil erosion models, namely that they do not consider interactions among soil erosion factors. Another advantage of this method is that it can be used if there are insufficient experimental data. The lack of experimental data can be compensated for through the use of expert evaluations. As an example of the proposed approach, the risk of soil erosion was evaluated in olive groves in Southern Spain, showing the potential of the ANP method for modelling a complex physical process like soil erosion.     

APPLICATION OF SELECTED SOIL LOSS EQUATIONS TO TRAMPLED SOIL CONDITIONS1

ABSTRACT: Soil loss prediction equations (Universal Soil Loss Equation, Modified Universal Soil Loss Equation, and Onstad-Foster Method) were modified to reflect the impact of trampling on soil erosion. The erosion control practice factor, P, was replaced by a trampling ratio, Tr, which is a function of the change in soil erosion due to animal trampling. Trampling impact on soil erosion varied With soil type. The data are a preliminary attempt to account for the impact of trampling on soil erosion.     

新疆土壤可蚀性K值空间插值及其分布特征研究

土壤可蚀性是土壤侵蚀预报和土地利用规划的重要参数,本文采用EPIC（Erosion Productivity Impact Caculator）模型中土壤可蚀性因子K值为指标,利用新疆土壤污染状况调查资料,探讨新疆土壤可蚀性K值及分布特征,并采用Kriging插值法进行全疆K值的空间插值。结果表明：新疆各类型土壤表层平均K值为0.238～0.441,主要分布在可侵蚀-易侵蚀-较易侵蚀范围;其中K值最大的土类为石质土和风沙土,均属于岩成土土纲;K值最小的土类为棕钙土;不同的土地利用方式,土壤可蚀性特征也不同,耕地土壤K值最大。从总体上看,土壤经过多年耕种,抗侵蚀能力明显下降。