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识别关键源区可以为非点源污染的优先管理和控制提供决策依据。本次研究以南水北调中线工程水源区老鹳河流域为研究区,比较全面地考虑了氮磷流失的主要影响因素,建立了老鹳河流域农业非点源污染关键源区识别模型,进行流域农业非点源污染风险评价和污染关键源区识别。结果表明,流域内处于高风险区以上的地区占流域总面积的13.4%,主要分布于老鹳河中上游地区,相对集中分布于老鹳河干流及其支流沿河地区,零星分布于西峡境内东部和北部局部,为该流域地表水环境农业非点源污染的关键源区。其中,污染风险最高的区域只占流域总面积的3.75%,可划定为重点关键源区进行重点治理,同时应兼顾污染风险次之的区域。基于GIS的指标体系法能够快速而方便地识别流域非点源污染高风险区域并量化污染风险大小,从宏观上掌握非点源污染的空间分布特征并实施有效管理和治理。 相似文献
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我国农村水环境非点源污染研究进展 总被引：8，自引：0，他引：8
农业非点源污染是导致水质污染最主要原因之一。我国农村非点源污染研究之初采用的研究方法主要有两种，一种是应用与水文模型紧密相关的模型来模拟和估算非点源污染负荷；另一种是通用土壤流失法。最近又提出了一种简便易用的流域非点源污染负荷估算方法－平均浓度法。将农业非点源污染负荷与3S技术结合、与水质模型对接用于流域水质管理成为农业非点源污染研究的新生长点。近年来，农村非点源污染研究也开始探索非点源污染负荷与河流水质模型接口问题。 相似文献
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天然降雨径流是灌区农田非点源氮污染形成的主要动力因素,研究降雨径流中农田氮素的流失规律及模拟方法对中国灌区非点源氮的综合治理具有重要意义.从农田氮素流失机理、影响因素以及预测方法等几个方面概述了水文过程中灌区农田非点源氮素归趋的研究进展,其中着重分析了水文过程中农田氮素流失预测的"黑箱"法、"解剖"法的优缺点和适用范围;并在此基础上,提出了中国开展灌区农田非点源氮污染研究的重点,包括典型研究单元选择、尺度界定以及不同水文路径中农田氮素流失的耦合模拟等. 相似文献
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应用Visual Basic开发环境及Map Info MapX控件建立了一个非点源污染评价系统,并以浙江省剡江流域为试验区对其非点源BOD年负荷量进行了模拟计算,从系统的结构及运行过程,包括数据的输入、模型参数的提取、结果的可视化等方面分析了GIS在流域非点源污染评价中的应用,研究表明,将GIS技术应用于流域非点源污染评价能够有效地获取模型参数,增加了数据和评价结果的直观性,为流域非点源污染治理提供了一种有效的途径。 相似文献
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以往,国内外提出的关于岩溶地下水污染风险评价方法与防控措施,都是基于地下水脆弱性评价的理论方法,是在对岩溶地区进行流域范围内大面积的脆弱性评价基础上,进行岩溶水污染危险性分区,然后以危险性分区为依据,提出岩溶水污染风险防控措施.这种风险评价与防控方法,是针对大区域大范围的岩溶水的.评价出的结果或提出的防控措施,对于具体的岩溶水源地针对性差.本文针对中国南方岩溶地区降雨时期集中、水循环快、分布不均、易受污染等特点,综合考虑水源地(污染目标)、污染源、污染途径、污染造成的损失值等因素,首次提出了岩溶水污染风险的"源-径-标-值"(SPTV)评价方法,从控制污染源、切断污染途径、保护岩溶水源等角度提出污染防控措施,针对性、可操作性都很强,克服了已有方法的缺点,具有较好的推广应用前景. 相似文献
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非点源污染负荷计算对水污染总量控制具有重要意义,为分析中国非点源污染负荷计算研究的现状与问题,在系统调研相关文献的基础上,将中国常用的非点源污染负荷计算方法总结为三大类:输出系数模型、实证模型和机理模型,阐述了各种模型的特点及其在中国的研究和应用情况;从非点源污染的界定、产污量和排污量的区别、国内和国外非点源污染产生环境的差异以及平原河网地区非点源污染负荷的计算4个方面分析了中国非点源污染负荷计算研究存在的主要问题;认为模型和计算方法适应研究区的环境特征是研究工作取得成功的关键,今后要加强实证研究、理论研究与模型开发的结合,逐步建立适应中国环境特点的非点源污染负荷计算方法体系。 相似文献
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辽河大伙房水库汇水区农业非点源污染入库模拟 总被引：1，自引：0，他引：1
利用输出系数法和SWAT模型,对大伙房水库汇水区农业非点源污染(ANSP)进行了入库模拟研究,并用2006—2009年的水文和水质监测数据对模型进行了校准和验证。研究结果表明:汇水区年均输入到水库的泥沙量、总氮和总磷负荷分别为82.65×103 t、1 873.49t和81.97t;月入库泥沙量、总氮和总磷负荷与径流量有着较强的相关性,ANSP的产生和迁移受降水、径流过程影响很大,每年7、8月份的氮、磷和泥沙流失量达到年内最大值,分别占全年流失总量的42.64%、44.42%和67.91%。水库汇水区各流域对水库氮、磷污染的贡献率由大到小依次为:浑河流域(清原段)、苏子河流域、社河流域和水库周边小流域。 相似文献
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Assessment of soil erosion risk using SWAT model 总被引：3，自引：2，他引：1
Manel Mosbahi Sihem Benabdallah Mohamed Rached Boussema 《Arabian Journal of Geosciences》2013,6(10):4011-4019
Soil erosion is one of the most serious land degradation problems and the primary environmental issue in Mediterranean regions. Estimation of soil erosion loss in these regions is often difficult due to the complex interplay of many factors such as climate, land uses, topography, and human activities. The purpose of this study is to apply the Soil and Water Assessment Tool (SWAT) model to predict surface runoff generation patterns and soil erosion hazard and to prioritize most degraded sub-catchment in order to adopt the appropriate management intervention. The study area is the Sarrath river catchment (1,491 km2), north of Tunisia. Based on the estimated soil loss rates, the catchment was divided into four priority categories for conservation intervention. Results showed that a larger part of the watershed (90 %) fell under low and moderate soil erosion risk and only 10 % of the watershed was vulnerable to soil erosion with an estimated sediment loss exceeding 10 t?ha?1?year?1. Results indicated that spatial differences in erosion rates within the Sarrath catchment are mainly caused by differences in land cover type and gradient slope. Application of the SWAT model demonstrated that the model provides a useful tool to predict surface runoff and soil erosion hazard and can successfully be used for prioritization of vulnerable areas over semi-arid catchments. 相似文献
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Characteristics of Non—Point Source Pollution in the Watershed of Miyun Reservoir,Beijing,China 总被引：1，自引：0，他引：1
Nitrogen and phosphorus are the major nutrients to cause eutrophication to degrade water quality of the Miyun Reservoir,a very important drinking water source of Bijing,China,and they are mainly from non-point sources.The watershed in Miyun County was selected as the study region with a totoal area of 1400km^2.Four typical monitoring catchments and two experimental units were used to monitor the precipitation,runoff,sediment yield and pollutant loading related to various land uses in the meantime.The results show that the total nutrient loss amounts of TN and TP are 898.07t/a,and 40.70t/a,respectively,in which nutrients N and P carried by runoff are 91.3% and 77.3%,respectively.There is relatively heavier soil eroson in the northern mountain area whereas the main nutrient loss occurs near the northeast edge of the reservoir.Different land uses would influence the loss amounts of non-point source pollutants.The amount of nutrient loss from the agricultural land per unit is highest,that from forestry comes next that from grassland is lowest.However,due to the variability of land use areas,agricultural land contributes a lot to TP and forestry lands to TN. 相似文献
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Estimation of soil erosion using RUSLE in a GIS framework: a case study in the Buyukcekmece Lake watershed,northwest Turkey 总被引：4，自引：3，他引：1
This study was aimed at predicting soil erosion risk in the Buyukcekmece Lake watershed located in the western part of Istanbul, Turkey, by using Revised Universal Soil Loss Equation (RUSLE) model in a GIS framework. The factors used in RUSLE were computed by using different data obtained or produced from meteorological station, soil surveys, topographic maps, and satellite images. The RUSLE factors were represented by raster layers in a GIS environment and then multiplied together to estimate the soil erosion rate in the study area using spatial analyst tool of ArcGIS 9.3. In the study, soil loss rate below 1 t/ha/year was defined as low erosion, while those >10 t/ha/year were defined as severe erosion. The values between low and severe erosion were further classified as slight, moderate, and high erosion areas. The study provided a reliable prediction of soil erosion rates and delineation of erosion-prone areas within the watershed. As the study revealed, soil erosion risk is low in more than half of the study area (54%) with soil loss <1 t/ha/year. Around one-fifth of the study area (19%) has slight erosion risk with values between 1 and 3 t/ha/year. Only 11% of the study area was found to be under high erosion risk with soil loss between 5 and 10 t/ha/year. The severe erosion risk is seen only in 5% of the study area with soil loss more than 10 t/ha/year. As the study revealed, nearly half of the Buyukcekmece Lake watershed requires implementation of effective soil conservation measures to reduce soil erosion risk. 相似文献
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使用基于棚格的地理信息系统,采用径流曲线方法和污染物流失方程.计算环罗源湾陆域氮磷污染物人海通量及其空问分布.站果表明,起步溪流域是罗源湾海域最主要的陆域污染来源.水土流失和生活污染对海域的污染输入显著. 相似文献
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Soil erosion and sediment yield modeling using RS and GIS techniques: a case study, Iran 总被引：1，自引：1，他引：0
Water erosion is a serious and continuous environmental problem in many parts of the world. The need to quantify the amount of erosion, sediment delivery, and sediment yield in a spatially distributed form has become essential at the watershed scale and in the implementation of conservation efforts. In this study, an effort to predict potential annual soil loss and sediment yield is conducted by using the Revised Universal Soil Loss Equation (RUSLE) model with adaptation in a geographic information system (GIS). The rainfall erosivity, soil erosivity, slope length, steepness, plant cover, and management practice and conservation support practice factors are among the basic factors that are obtained from monthly and annual rainfall data, soil map of the region, 50-m digital elevation model, remote sensing (RS) techniques (with use of Normalized Difference Vegetation Index), and GIS, respectively. The Ilam dam watershed which is located southeast part of Ilam province in western Iran is considered as study area. The study indicates that the slope length and steepness of the RUSLE model are the most effective factors controlling soil erosion in the region. The mean annual soil loss and sediment yield are also predicted. Moreover, the results indicated that 45.25%, 12.18%, 12.44%, 10.79%, and 19.34% of the study area are under minimal, low, moderate, high, and extreme actual erosion risks, respectively. Since 30.13% of the region is under high and extreme erosion risk, adoption of suitable conservation measures seems to be inevitable. So, the RUSLE model integrated with RS and GIS techniques has a great potential for producing accurate and inexpensive erosion and sediment yield risk maps in Iran. 相似文献
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以三峡库区界垭小流域内不同交通荷载土质道路为研究对象,通过自然降雨观测研究其侵蚀规律和污染物流失特征。研究结果表明,交通荷载大的干道产流率和侵蚀率均高于交通荷载低的支道,对产流率影响显著的因子主要为降雨量,对产沙率影响显著的因子为降雨量、雨强。雨型对污染物的流失特征影响显著,前期集中型降雨下,污染物流失过程线与降雨过程线同步性较好,泥沙、总氮、铵态氮、泥沙结合态磷和溶解态磷均发生了较强的初始冲刷效应;中期集中型降雨下,污染物流失浓度峰值优先于雨强峰值,且氮和磷等初始冲刷强度低于前期集中型降雨,泥沙无初始冲刷效应。 相似文献
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Due to the existence of fragile karst geo-ecological environments, such as environments with extremely poor soil cover, low
soil-forming velocity, and fragmentized terrain and physiognomy, as well as inappropriate and intensive land use, soil erosion
is a serious problem in Guizhou Province, which is located in the centre of the karst areas of southwestern China; evaluation
of soil loss and spatial distribution for conservation planning is urgently needed. This study integrated the revised universal
soil loss equation (RUSLE) with a GIS to assess soil loss and identify risk erosion areas in the Maotiao River watershed of
Guizhou. Current land use/cover and management practices were evaluated to determine their effects on average annual soil
loss and future soil conservation practices were discussed. Data used to generate the RUSLE factors included a Landsat Thematic
Mapper image (land cover), digitized topographic and soil maps, and precipitation data. The results of the study compare well
with the other studies and local data, and provide useful information for decision makers and planners to take appropriate
land management measures in the area. It thus indicates the RUSLE–GIS model is a useful tool for evaluating and mapping soil
erosion quantitatively and spatially at a larger watershed scale in Guizhou. 相似文献
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Evaluation of sediment yield and soil loss by the MPSIAC model using GIS at Golestan watershed, northeast of Iran 总被引：2，自引：1，他引：1
Ali Bagherzadeh Mohammad Reza Mansouri Daneshvar 《Arabian Journal of Geosciences》2013,6(9):3349-3362
Watershed degradation due to soil erosion and sedimentation is considered to be one of the major environmental problems in Iran. In order to address the critical conditions of watershed degradation in arid and semiarid regions, a study based on the Modified Pacific Southwest Inter-Agency Committee (MPSIAC) model was carried out at Golestan watershed, northeast of Iran. The model information layers comprising nine effective factors in erosion and sedimentation at the watershed site were obtained by digitalization and spatial interpolation of the basic information data in a GIS program. These factors are geology, soil, climate, runoff, topography, land cover, land use, channel, and upland erosion. The source data for the model were obtained from available records on rainfall and river discharge and sediment, topography, land use, geology, and soil maps as well as field surveys and laboratory analysis. The results of the MPSIAC model indicated that 60.75 % (194.4 km2) and 54.97 % (175.9 km2) of the total watershed area were classified in the heavy sedimentation and erosion classes, and the total basin sediment yield and erosion were calculated as 4,171.1 and 17,813.4 m3 km?2 year?1, respectively. In the sensitivity analysis, it was found that the most sensitive parameters of the model in order of importance were topography (slope), land cover and use, runoff, and channel erosion (R 2?=?0.92–0.94), while geology, climate (rainfall), soil, and upland erosion factors were found to have moderate effect to the model output (R 2?=?0.74–0.59). 相似文献
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Assessment of the effects of vegetation on soil erosion risk by water: a case of study of the Batta watershed in Tunisia 总被引：2，自引：1，他引：1
Mohamed Kefi Kunihiko Yoshino Yudi Setiawan Khemaies Zayani Mohamed Boufaroua 《Environmental Earth Sciences》2011,64(3):707-719
Soil erosion by water is a serious environmental problem which affects particularly the agriculture of developing countries.
Due to specific factors, such as high rainfall intensity, steep slopes and vegetation scarcity, Tunisia is prone to soil erosion.
Taking this into account, the main objective of this study was to estimate the soil erosion risk in the Batta watershed in
Tunisia using qualitative and quantitative erosion model with remote sensing data and geographic information system (GIS).
Moreover, a developed method that deals with evaluating the impact of vegetation on soil erosion by water is also applied.
This method used multi-temporal satellite images with seasonal variability and the transformed soil adjusted vegetation index
(TSAVI) which is appropriate in arid and semi-arid areas. For both erosion models, the results show that a large area of the
Batta watershed is seriously affected by erosion. This potentially high risk is due especially to severe slopes, poor vegetation
coverage and high soil erodibility in this watershed. Furthermore, the use of multi-temporal satellite images and vegetation
index show that the effect of vegetation is a significant factor to protect the soil against erosion. The risk is especially
serious in the summer season, but it decreases with the growth of vegetation cover in spring. Erosion model, combined with
a GIS and remote sensing, is an adequate method to evaluate the soil erosion risk by water. The findings can be used by decision
makers as a guideline to plan appropriate strategies for soil and water conservation practices. 相似文献