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。     

基于GIS的河流污染应急监测方案自动生成研究

通过对河流污染事故应急监测工作流程的分析,研究了基于GIS的河流污染应急监测方案中所涉及的关键技术问题,包括对事故发生地点的空间定位、事故发生地周围应急监测单位及专家组分布信息的查询、应急监测队伍及仪器设备到达事发地最短路径的确定,以及重点研究的一维水质模型与GIS的集成技术。以昆山市河流突发性污染事故为例,探讨了基于GIS的河流污染应急监测优化方案的自动生成原型系统。     

基于GIS的唐山地区大气污染物时空分布研究

应用数据统计和ArcGIS对北方重工业城市唐山地区2014年14个县(区)18个空气自动监测站的数据进行时空分布特征分析,监测的污染物为PM_(10)、SO_2、NO_2、PM_(2.5)、O_3、CO共6项。利用ArcGIS对各个自动监测站污染物数据建立网格模型,采用反距离权重法分别对年均、采暖期、非采暖期的环境空气质量综合指数和6项污染因子浓度的空间分布进行估算,直观比较了污染物在不同时期内的空间分布状况。结果表明,空气质量时间分布较为明显,非采暖期明显好于采暖期。同时,计算出每个网格单元污染指数的标准偏差,结合气象气候、地形地势、工业发展等情况,分析得出北部山区、市中心区附近区域空气质量波动较大。为区域大气污染有针对性的综合防治、联防联控及污染物区域削减计划打下数据基础。     

基于RS/GIS的新疆绿洲动态变化研究

在新疆土地利用,土地覆盖类型判读解译的基础上,对新疆绿洲近五年来的面积变化及发展趋势进行了分析。目前,在人类活动的干扰下,新疆绿洲面积正以平均每年822．48km^2的速度扩大。     

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。     

基于共享应用的环境监测GIS平台研究

环境监测GIS平台是应用GIS理论及工具为环境监测信息系统提供空间数据处理的专项应用共享平台,其建设过程往往包括3个部分:搭建环境监测GIS平台应用框架、建立环境监测GIS数据库、开发满足GIS集成需要的网络式服务组件。文章立足于环境监测共享应用,介绍了建立环境监测GIS平台数据库的基本方法,探讨了环境监测GIS平台的主要应用功能,分析了平台与其他应用系统的集成要点。     

基于GIS的污染源自动监测数据综合分析系统设计和实现

基于地理信息系统(GIS),将污染源在线监测数据信息与空间地理信息相结合,建立北京市重点锅炉烟气、污水处理厂两类主要污染源和水环境质量等大量在线监测数据的监控和综合分析系统。系统不仅实现了对重点污染源在线监测数据的实时监控、数据展示、统计分析、超标报警等常规业务功能,还在污染源扩散模拟展示、污染源与环境质量信息相互作用的空间综合分析等方面进行了初步研究,为进一步提高北京市的污染源监控管理和自动监测数据利用水平做出了创新性的技术尝试。     

基于RS、GIS的城市绿地生态效益评价与预测模型

以遥感(RS)信息作为主要的数据来源,结合其他实地监测和统计数据,采用GIS技术进行数据分析和处理,建立城市绿地生态效益评价与预测模型,为城市绿地规划、改善城市生态环境提供定量化的科学依据。     

基于B/S结构的GPRS/Web GIS远程油烟监控系统的设计

分析了基于B/S结构的GPRS/Web GIS远程油烟监控系统的技术基础,设计了系统的油烟监控终端、客户端浏览器、监控中心、第三方Web GIS服务器、Internet网络和GPRS网络的拓扑结构,并讨论了该系统采用J2EE的方案实现B/S系统架构、GPRS数据的可靠传输、系统中应用Google Earth等问题。     

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.     

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。     

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.     

准噶尔盆地荒漠区工程建设与水土流失的关系初探

新疆北部的准噶尔盆地的荒漠地区是生态环境脆弱地区,环境极易遭到破坏,随着建设项目的增加,由于工程建设引起的水土流失现象也逐渐增多.目前对该问题的研究尚需深入.本文通过对准噶尔盆地荒漠地区工程建设与水土流失的关系的分析,并借鉴其它地区的经验,指出新疆北部的荒漠地区由于环境脆弱,各类工程均可引发水土流失, 工程建设引起的水土流失也能影响工程本身的安全,工程建设应采取措施,防止水土流失,促进环境保护与经济发展.     

基于多种方法的长江上游小流域水质综合评价

选取大河和巴关河流域2018—2022年水质监测数据,运用单因子评价法、Spearman秩相关系数法、综合污染指数法和主成分分析法,对流域水质状况、变化趋势及主要污染物特征进行综合评价分析。结果表明:2018—2022年,大河流域水质未达到地表水Ⅲ类标准;流域整体综合污染指数超过了1,为重污染,下游污染程度较重;营养指标和有机污染物指标存在显著正相关。巴关河流域水质达到了地表水Ⅲ类标准;流域整体综合污染指数未超过1,为中污染,上游污染程度较重;营养指标、有机污染物指标和重金属指标等均呈现出不同程度的相关性。巴关河流域水质总体优于大河流域。TP、NH₃-N、COD_Mn、COD_Cr和BOD₅是影响大河流域和巴关河流域水质的主要因子,均属于有机型及富营养化污染指标,主要来自生活源和农业源。建议选择适宜的评价方法开展系统性小流域污染溯源,分河段有针对性地开展小流域水环境治理。     

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.     

伊犁河流域水污染及水土流失防治调查

通过对伊犁河流域现状和存在问题的分析 ,针对性地提出了保护伊犁河流域的综合治理措施     

内陆河流域重要生态功能区生态安全评价研究——以黑河流域为例

以遥感与GIS技术为依托,根据PSR模型框架建立黑河流域生态安全评价指标体系,通过三期生态安全评价数据,综合分析了黑河流域20年来生态安全变化情况,结果表明其生态安全状况总体呈现波动变化,2000年较1986年呈恶化趋势,2007年较2000年有所好转。     

Comparison of a Subjective and a Physical Approach for Identification of Priority Areas for Soil and Water Management in a Watershed – A Case Study of Nagwan Watershed in Hazaribagh District of Jharkhand, India

The present investigation was an attempt to compare the within-watershed prioritization capabilities of a physical model based SDSS with the SYI and RPI model based subjective-SDSS, conventionally devised for between-watershed prioritizations, by All India Soil Survey and Land Use Planning Division of Ministry of Agriculture, Government of India. Application of these two approaches on a test watershed situated in Damodar-Barakar catchment in India, the second most seriously eroded area in the world, demonstrated that the proposed physical model based SDSS was capable of realistically and logically mimicking the sub-watershed-scaled water and soil losses thereby suggesting its immense application potential for priority area identification within the test watershed. In contrast to the proposed physical method, the subjective approaches, which assigned totally reverse priorities to about 67–93% of the test-sub-watersheds, were observed to be incapable of realistically assessing the impact of topography and varied land use and soil types in the test watershed on their sub-watershed scaled run-off and soil loss generating potential. Besides, the physical approach could be used for assessing the annual dynamics of the total water and sediment yields, under prevailing resource management systems in the test watershed with good to moderately good correlation coefficients of 0.83 and 0.65; model efficiency coefficients of 0.54 and 0.70; mean relative errors of –4.28% and –17.97% and root mean square prediction errors of 71.8 mm and 9.63 t/ha, respectively.