How dynamics and drivers of land use/land cover change impact elephant conservation and agricultural livelihood development in Rombo,Tanzania

Land use/land cover (LULC) change affects the provision of ecosystem services for humans and habitat for wildlife. Hence, it is crucial to monitor LULC particularly adjacent to protected areas. In this study, we measured LULC change in Rombo, Tanzania, an area with high-potential agro-ecological zones that is dominated by human–elephant conflicts (HECs). We used remote sensing and geographical information system techniques, questionnaires and village meetings to assess spatio-temporal patterns of the LULC changes in the study area. Using Landsat imagery, digital elevation model (DEM) and ground truthing, we classified and monitored changes in LULC from the years 1987 to 2015. We found that within Rombo, settlements were increasing, while agricultural and agroforestry lands were decreasing and respondents’ perceptions varied along the altitudinal gradient. Patterns of HEC and LULC were observed to change along the gradient and the later threatened the agricultural land and ecological integrity for elephant habitat, leading to high tension and competition between elephants and people. This research offers baseline information for land use planning to balance wildlife conservation with livelihood development in Rombo and highlights that managing the impacts of LULC changes on HEC and elephant habitat loss is a matter of urgency.     

The effect of industry activities on public support for ‘fracking’

Research suggests that previous, current, and prospective extractive industry activities influence perceptions of new development. Studies that have drawn this conclusion, however, have usually focused on specific projects in specific communities. Here, these factors are examined on an aggregate, national scale. Combining geospatial data on extractive industry activities and survey data from a nationally representative sample (N = 1061), the influence of extractive industry activities on support for fracking is studied. While limited evidence is found for the impact of proximity to oil and gas wells or production on support for fracking, employment levels in the natural resources and mining sector in the respondent’s county and residence in an area experiencing active oil and gas development significantly increase support for fracking. The results highlight the role of spatial and community factors in shaping support for energy development.     

基于SD-CA-GIS的环境累积效应时空分析模型及应用

环境累积效应分析强调环境变化的时空放大作用,突出环境要素之间的时空交互作用,从而对环境分析方法的能力提出了挑战.因此,本文在对传统环境分析方法归纳、分析和总结的基础上,以地理信息系统(GIS)为基础平台,集成系统动力学(SD)和元胞自动机(CA)的优点,建立了能够分析时间累积、空间累积效应的SD-CA-GIS模型.以山西潞安矿区作为研究区域,在分析矿区社会、经济、工程和环境等因子之间时空交互作用的基础上,构建了SD-CA-GlS模型.考虑到矿区土地利用变化的特殊性,从影响矿区土地利用变化的驱动因子出发,预测和模拟了矿区2006-2030年土地利用变化的累积状况.结果发现,由于煤炭资源开采等人类干扰活动的影响,研究区在研究时段内,工矿用地、居民用地和交通用地呈现累积性增加,其它土地利用类型累积性减少.同时,由于不同阶段人类活动干扰的种类和强度变化,使得不同土地利用类型的空间扩展变化存在一定的差异.上述研究表明,该模型能够同时考虑时间累积效应和空间累积效应的动态变化,能为环境累积效应的分析和评价提供有效的帮助.     

基于GIS的云南省生态系统评价模型关键技术研究

以建立云南省生态系统评价计算机软件系统为背景,通过指标体系模型、数据组织模型和功能模块数据流模型等关键技术的分析,并基于GIS理论设计了生态系统评价软件模型的总体框架,为计算机软件系统的编程实现提供了方法和依据。     

基于GIS的煤矿区景观格局时空变化分析——以呼伦贝尔市某煤矿为例

在GIS平台和Fragstats 4．1软件的支持下,本文以1989年和1999年的TM影像,2012年的资源三号卫星影像为数据源,利用景观／斑块类型面积、斑块所占景观面积的比例、斑块密度、最大斑块指数、总边缘长度、边缘密度、香农多样性指数、蔓延度指数等景观特征指标,对呼伦贝尔市某煤矿区的景观特征动态变化进行分析。结果显示：该煤矿区20多年来景观格局有了很大变化,景观类型由1989年的水域、草地、未利用地为主导变为2012年以未利用地、草地、耕地为主导,其中因人类工业活动和人工复垦导致工矿景观、道路景观、林地景观和耕地景观面积增加,而原来占绝对优势的水域景观面积则大幅减小。     

基于GIS的长沙市洪涝灾害风险动态评估

运用GIS技术的空间分析与建模功能构建洪涝灾害风险评估模型,以长沙市地理基础数据、遥感数据、气象水文、社会统计数据为基础,从洪涝灾害的危险性、暴露性、敏感性三个角度出发,对长沙市洪灾风险进行动态评价.结果表明：与1994年相比,2010年长沙市洪灾敏感性有所增加,暴露性上升,洪灾风险增大;从空间分布上看,长沙市区及望城区由于地势平坦,湘江干流贯穿其中,加之经济发达,因而洪灾风险较高;而西部的宁乡县和东部的浏阳市洪灾风险较低;提出了有针对性的防洪措施.该评价结果与实际情况相符,可为洪灾风险管理与决策提供科学依据.     

基于兵棋推演理论的城市危机应急管理体系设计

随着经济的发展、城市化进程的加快,城市危机的危害程度日益加剧。基于我国城市危机应急管理总存在的不足,提出将兵棋推演运用到城市危机应急管理中,结合兵棋推演技术、地理信息系统、现代计算机技术和信息技术。提出了一套城市危机应急管理体系框架,并讨论了该系统与城市公共安全体制的融合机制问题。该系统汇集中外危机处置案例,实现动态推演,弥补以往剧本式的应急演练的缺欠,为提高城市危机应急调度指挥的快速性、准确性和科学性,有效整合现有应急救援力量和资源提供了有效的辅助手段,为提升城市危机应急管理决策水平和综合能力提供参考。     

Multi-objective transportation route optimization for hazardous materials based on GIS

Safety and security are of paramount importance, it is important to optimize and improve the routes of trucks that carry hazardous materials. In this study, we not only ensure the risk in the network, but also consider the transportation cost and the factors such as buildings and emergency facilities around the routes. The Geographic Information System (GIS) is used to quantify the factors on each section in the network. We present an epsilon constrained multi-objective mixed-integer linear programming optimization model to find the robust and stable transportation optimization solutions. At the end, we complete a case analysis of the proposed methodology to determine the motorway segments in Jiangsu province, China and test the above algorithm on the network, which has 144 nodes and 388 sections. The results we get show that the factors of buildings play a very important role in the model, and the multi-objective mixed-integer linear optimization model is reasonable and performs good quality.     

基于GIS的上海市嘉定区暴雨积涝灾害风险区划研究

根据2006-2012年上海嘉定区9个气象站点的小时降水资料,结合嘉定区的社会经济与自然地理要素,构建一个集致灾因子、孕灾环境、承灾体及防灾减灾能力为一体的区域暴雨积涝风险评价模型。通过GIS技术实现各指标的栅格化,并利用指数模型对各因子基于500 m×500 m栅格的基本单元进行计算,编制嘉定区的暴雨积涝灾害风险区划图,构成嘉定区五个等级的风险,分别为高、次高、中等、次低和低。区划结果表明嘉定区的暴雨积涝灾害危险性指数从中心向外围成递减的趋势,且嘉定镇、新城和工业南区相对风险较高,华亭、徐行、南航和江桥风险相对较低。经嘉定区历年暴雨积涝灾情资料、典型暴雨积涝案例和专家的验证,均表明风险区划的结果和实际灾情符合度较高,对嘉定暴雨积涝的防灾减灾具有重要的现实指导意义。     

我国城市冬季PM2.5空间特征及其人为影响因子

以我国114个城市冬季(2013年12月-2014年2月)公布的PM25数据为基础,结合其他相关数据,运用空间自相关分析、克里格插值法和逐步回归分析法,研究我国冬季PM2.5浓度空间分布差异及其影响因素.结果显示,研究期间PM2.5在空间分布上具有高值集聚、低值集聚和高值邻域的低值集聚的变化特征,全局自相关系数Moran's I为0.27.PM2.5浓度分布由北到南、从内陆到沿海具有先升高后逐渐降低的变化趋势,高浓度区域主要集中在华北平原、长江中下游平原和陕西关中平原等地区,这些区域的冬季PM2.5平均质量浓度都达到150 μg·m-3以上,最高达250 μg·m-3.多因子逐步回归分析结果表明,人为活动对我国高浓度PM25(＞150μg·m-3)分布影响显著,对低浓度PM2.5(≤75μg·m-3)分布影响不显著.市辖区人口密度和第二产业GDP是显著影响我国高浓度PM2.5分布的主要人为影响因子.市辖区建成区面积、全市年末总人口和市辖区道路面积等是影响我国城市间PM2.5浓度分布差异的主要人为影响因子.