基于GIS/AHP集成的洪水灾害综合风险评价——以淮河流域为例

根据影响洪水灾害风险的致灾因子危险性、孕灾环境稳定性与承灾体易损性,以淮河流域为示范研究区,以县为行政单元,综合考虑降雨、径流量、河流、地形、人口、经济等指标,基于GIS与AHP集成方法得到了淮河流域洪水灾害危险性评价图和淮河流域洪水灾害脆弱性评价图,并采用"加"模型计算公式得到了洪水灾害综合风险评价图,进行了相应的结果分析。     

GIS与层次分析法相结合的生态环境综合评价研究——以渝西地区为例

将GIS与层次分析法相结合应用于渝西地区生态环境质量综合评价。首先,根据渝西地区生态环境的基本特点确定生态环境质量综合评价的指标体系和基本评价单元,通过层次分析法,确定各评价指标的权重,计算出每个评价单元的生态环境质量综合指数和分指数;然后运用GIS技术,根据每个评价单元的质量指数和分指数,自动生成渝西地区生态环境综合评价等级图;在此基础上,对渝西地区生态环境整体及各不同侧面质量状况的空间分异规律进行分析和研究。结果显示,渝西区生态环境质量基本上由南向北逐渐降低,与自然环境状况的空间格局大体吻合,但局部地区有差异。表明自然条件对渝西地区生态环境质量的空间分异起决定性作用,但社会经济和环境污染等因素同样对生态环境具有重要影响,在某些情况下,甚至可以成为决定因素,并在一定程度上改变生态环境的空间格局。     

Poaching Risks in Community‐Based Natural Resource Management

Poaching can disrupt wildlife‐management efforts in community‐based natural resource management systems. Monitoring, estimating, and acquiring data on poaching is difficult. We used local‐stakeholder knowledge and poaching records to rank and map the risk of poaching incidents in 2 areas where natural resources are managed by community members in Caprivi, Namibia. We mapped local stakeholder perceptions of the risk of poaching, risk of wildlife damage to livelihoods, and wildlife distribution and compared these maps with spatially explicit records of poaching events. Recorded poaching events and stakeholder perceptions of where poaching occurred were not spatially correlated. However, the locations of documented poaching events were spatially correlated with areas that stakeholders perceived wildlife as a threat to their livelihoods. This result suggests poaching occurred in response to wildlife damage occurred. Local stakeholders thought that wildlife populations were at high risk of being poached and that poaching occurred where there was abundant wildlife. These findings suggest stakeholders were concerned about wildlife resources in their community and indicate a need for integrated and continued monitoring of poaching activities and further interventions at the wildlife‐agricultural interface. Involving stakeholders in the assessment of poaching risks promotes their participation in local conservation efforts, a central tenet of community‐based management. We considered stakeholders poaching informants, rather than suspects, and our technique was spatially explicit. Different strategies to reduce poaching are likely needed in different areas. For example, interventions that reduce human‐wildlife conflict may be required in residential areas, and increased and targeted patrolling may be required in more remote areas. Stakeholder‐generated maps of human‐wildlife interactions may be a valuable enforcement and intervention support tool. Riesgos de Cacería Furtiva en el Manejo de Recursos Naturales Basado en Comunidades     

The role of the rural settlements in the Brazilian savanna deforesting process

Although the drivers of deforestation in Brazil are relatively well known, there is still limited understanding of the role of family farm-based rural settlements in land cover changes, particularly in the Brazilian savanna. This research aims to identify land use patterns within rural settlements and examine how they are influenced by regional dynamics. The study is based on GIS techniques and satellite image classification (Landsat 5-TM and RapidEye imagery), combined with geo-referenced fieldwork data in three different regions of the State of Goiás. The results reveal that the deforestation arrangement within the studied rural settlements is very similar to the deforestation found in the surrounding regions. As a positive outcome, the rural settlements have a higher share of remnant vegetation when compared to the surrounding areas, but this is still concentrated within legal reserves. We conclude that the changing patterns of rural settlement land cover are highly influenced by regional dynamics.     

Assessment of herbaceous plant habitats in water-constrained environments: predicting indirect effects with fuzzy logic

Herbaceous plant production plays a key role in determining the function of rangeland ecosystems in the semi-arid and Mediterranean regions. Therefore, assessment of herbaceous plant habitats is important for understanding the ecosystem functioning in these regions and for applied purposes, such as range management and land evaluation. This paper presents a model to assess herbaceous plant habitats in a basaltic stony environment in a Mediterranean region. The model is based on geographic information systems (GIS), remote sensing and fuzzy logic, while four indirect variables, which represent major characteristics of herbaceous habitats, are modeled: rock cover fraction; wetness index (WI); soil depth; and slope orientation (aspect). A linear unmixing model was used to measure rock cover on a per pixel basis using a Landsat TM summer image. The wetness index and local aspect were determined from digital elevation data with 25 m × 25 m pixel resolution, while soil data were gathered in a field survey. The modeling approach adopted here is process-based and assumes that water availability plays a crucial role in determining herbaceous plant production in Mediterranean and semi-arid environments. The model rules are based on fuzzy logic and are written based on the hypothesized water requirements of the herbaceous vegetation. The results show that on a polygon basis there is positive agreement between the model proposed here and previous mapping of the herbaceous habitats carried out in the field using traditional methods. Intrapolygon tests show that the use of a continuous raster data model and fuzzy logic principles provide an added value to traditional mapping. Moreover, herbaceous biomass measurements at two time intervals—mid- and peak winter season—corresponded with the habitat assessment predictions achieved using a new scenario that is proposed in this research. This scenario suggests that rockiness increases herbaceous production on south-facing slopes, while in other slope aspects the rock cover has lower impact on herbaceous growth. Due to its simplicity, the model suggested here can be used by planners and managers, to adjust range activities over large areas. The process-based approach should allow adaptation of the model to other regions more effectively than models that were formulated on a purely empirical basis. The model could also be used to study the relationship between water availability and ecosystem productivity on a regional scale.     

GIS支持下的红壤丘陵区脆弱生态环境综合评价--以长沙市为例

遥感和地理信息系统技术的发展为研究区域生态环境变化提供了有效的手段。针对红壤丘陵区这一特定区域，在地理信息系统的支持下，建立了红壤丘陵区环境信息系统数据库；同时结合特尔斐法、层次分析法及环境质量综合指数法，对红壤丘陵区的典型区域——长沙市的生态环境质量进行综合评价。研究结果表明，由于人类活动的强烈影响，长沙市环境质量状况良好以上级别的区域面积仅有827．64km^2，占总面积的7．0％；而生态环境较差的区域其面积达到6187．14km^2，占总面积的52．4％，这说明长沙市总体生态环境质量有待进一步提高。     

利用LUR模型模拟天津市大气污染物浓度的空间分布

针对传统监测方法无法满足对大气污染物空间分布高分辨率的要求,以Arcgis为平台,利用LUR模型模拟天津市PM10和NO2年均浓度的空间分布.选取的回归变量为1~4km半径缓冲区内的道路总长度、不同土地利用类型的面积、人口密度、风向指数及距海距离,选取3个监测点的监测数据对方程进行了验证.结果表明,对PM10年均浓度影响最大的因素是缓冲区为1km的道路总长度(R2为0.560),而对NO2年均浓度影响最大的因素是人口密度(R2为0.414).多元线性回归方程计算结果显示,PM10和NO2的R2分别达到0.946和0.691;如果考虑风向的影响,R2可分别提高到0.980和0.849.对天津市中心城区建立5km′5km网格嵌套,根据多元线性回归方程计算每个网格交点的污染物浓度模拟值.通过kriging插值得到2种污染物在天津市中心城区的空间模拟分布图.PM10年均浓度分布以研究区中心最高,向四周逐渐降低;NO2的年均浓度以研究区中心最低,向四周逐渐升高.模拟结果与实际情况相符.     

1950s中期以来东北地区盐碱地时空变化及成因分析

论文以1950s中期1:100000地形图和2000年Landsat/TM影像为数据源,基于地学知识重塑1950s中期盐碱地分布状况,通过人机交互解译方式获取2000年盐碱地分布状况,然后采用GIS空间分析方法对近50年盐碱地时空变化特征进行分析。结果表明：①东北盐碱地主要分布在松嫩平原(占90%以上)和呼伦贝尔草原,盐碱地由58.51×10⁴hm²增至219.31×10⁴hm²,吉林省盐碱地扩展最显著,盐碱地面积最大;②盐碱化程度从以轻度盐碱化为主发展为以中重度盐碱化为主;③气候变化、水利灌溉设施和道路网建设、过牧和滥垦、油田开采等多种因素导致东北盐碱地扩大,但在局部地区由于生态恢复和改良利用措施、过量抽取地下水导致水位大幅度下降,使得盐碱地也有缩减。     

基于GIS和多目标的生活垃圾运输路线优化研究

随着城市建设和规模的发展,人们生活水平日益提高,城市生活垃圾管理系统的改进与提高势在必行。为了探索生活最优运输路径,研究以北京市海淀区生活垃圾转运设施(五路居转运站)和处理设施(六里屯填埋场)为例,基于Arcgis9.2软件平台,利用最短路径搜索法和GIS(地理信息系统)中网络分析工具以及AHP(层次分析法),建立了可视化多目标运输体系,并搜索出不同目标(路线最短、时间最短、环境最优和综合加权)下生活垃圾最佳运输路径。该研究结果为海淀区生活垃圾运输系统提供可选优化路径和研究方法,从而为城市生活垃圾转运系统提高收运效率、减少运输过程中环境污染以及针对不同情况采用不同路线等问题提供理论指导和技术支持。     

上海市扬尘污染源遥感解译及其管理信息系统

利用遥感影像资料,分析了上海市扬尘污染源的空间分布特征与规律,并计算了上海市主要扬尘源的起尘量。利用获取的基础数据,建立了上海市扬尘污染源管理地理信息系统,为上海市扬尘污染源的控制管理提供了依据。