人工神经网络和决策树模型在滑坡易发性分析中的性能对比

机器学习模型广泛应用于区域性滑坡易发性分析。模型的选择关系到评价结果的可信度、准确率和稳定性。现有滑坡易发性分析模型对比研究侧重模型的预测精度。模型的稳定性和数据量敏感性对机器学习模型的性能评估同样非常重要。本文以福建省南平市蔡源流域为研究区,以四川省绵阳市北川县为验证区,从预测精度、稳定性和数据量敏感性3个方面深入对比BP（Back Propagation）人工神经网络模型和CART（Classification and Regression Tree）决策树模型在滑坡易发性分析中的效果,主要结论如下:① 在逐渐增加一定数量训练样本的过程中,BP人工神经网络模型预测精度的增长率更高。在蔡源流域内,当训练样本数量增加10 000时,BP人工神经网络模型的预测精度上升5.22%,CART决策树模型的预测精度上升2.11%。② BP人工神经网络的预测精度高于CART决策树模型,且较为稳定。在100组数据集上,BP人工神经网络模型验证集预测精度的均值和验证集滑坡样本预测精度的均值分别为81.60%和84.86%,高于CART决策树模型的72.97%和76.59%。与此同时,BP人工神经网络模型对应预测精度的标准差分别是0.32%和0.37%,小于CART决策树模型的0.35%和0.67%。③ BP人工神经网络模型分析的滑坡易发区相比CART决策树模型,更接近实际滑坡的空间分布。最后,北川县的验证实验也出现了相同的现象。     

Application of participatory principles to investigation of the natural world: An example from Chile

Participatory research in environmental and natural resources-related fields is premised on many of the same notions that underlie participatory processes in decision making. This study examines one instance of participatory research to assess the extent to which the documented benefits of participatory decision-making hold up in the context of research. A survey of Chilean shell-fishers engaged in research with marine biologists assesses the relationships between four variables: fishers’ participation in research, fishers’ opinions of biologists, fishers’ trust in biologists, and fishers’ acquisition of knowledge from biologists. Results illuminate the multidimensionality of these variables and suggest that complex interrelationships between them make the benefits of participatory research more nuanced than those reported for participatory decision-making. For instance, participatory research may provide low benefits when participatory research outcomes differ little from those produced solely by scientists. In addition, high-cost scenarios may result when outcomes of participatory research are inferior to those produced solely by scientists. A third downside may result when participation leads participants to increase their deference to scientific knowledge, thereby defeating the corroborative purpose of their participation. A fourth effect may occur when increased trust by in scientists results from participation, decreasing participants’ perceived need to take part in research.     

未来能源──氢及其制取工艺

叙述了氢及其同位素的性质，提出了几种制氢的方案，并通过电解水制氢和在切割上代替氧（乙炔的应用取得的成果，为氢取代矿物燃料而走进家庭的研究打下基础。氢可储存，氢也可在交通上作为燃料，并且没有污染，是未来的重要能源之一。     

测绘生产项目人力资源管理系统的开发

地理信息数据加工生产行业在项目管理的方式和方法上,存在着先进的生产力与不先进的管理方式相矛盾的问题.如何解决人力资源与生产项目的高效结合,使劳动力分配效能在项目管理中实现最大化,是一个无法回避和必须解决的课题.本文基于地理信息数据生产项目管理的实际应用,介绍系统的设计思想、技术路线、系统功能以及数据库的设计.随着本系统的不断推广和应用,一定能为地理信息数据加工生产行业的项目人力资源管理开拓新的模式,并为项目管理者提供有效的决策支持.     

基于GIS与SDM技术的可视化空间数据分类研究

提出将GIS与可视化空间数据挖掘技术之集成的基本框架。在此基础上,基于VisualC++6.0和Ma-pObject2.0组件技术设计和开发了一个可视化交互空间数据挖掘分类系统,系统采用决策树方法和贝叶斯网络作为数据挖掘方法的基本算法,采用训练与学习相结合实现空间数据的分类。文中用实例数据对系统性能、算法和规则有效性进行了验证。结果表明,该系统是一个适用的、可扩展的可视化交互空间数据挖掘工具,系统能够实现数据挖掘实时动态的交互控制,实现了数据挖掘过程的可视化、挖掘模型的可视化和结果的可视化显示、可视化思考、可视化分析与评价。     

甘南州国土空间规划辅助决策系统的构建与实现

基于“天地图·甘肃”地理信息公共服务平台提供的地图API功能,在 “天地图·甘南”州级节点的基础上,整合甘南州国土空间规划相关数据和评价模型,采用可视化B／S前后端分离架构,矢量瓦片索引和微服务等技术,搭建了甘南州国土空间规划辅助决策系统,并通过系统平台实现了资源浏览、数据查询、数据统计、占地分析、规划冲突分析、数据大屏等辅助决策功能,为建设项目选址、用地审批、规划审查、土地储备与开发等提供决策服务。     

Holistic approach of GIS based Multi-Criteria Decision Analysis (MCDA) and WetSpass models to evaluate groundwater potential in Gelana watershed of Ethiopia

Appropriate quantification and identification of the groundwater distribution in a hydrological basin may provide necessary information for effective management, planning and development of groundwater resources. Groundwater potential assessment and delineation in a highly heterogeneous environment with limited Spatiotemporal data derived from Gelana watershed of Abaya Chamo lake basin is performed, using integrated multi-criteria decision analysis (MCDA), water and energy transfer between soil and plant and atmosphere under quasi-steady state (WetSpass) models. The outputs of the WetSpass model reveal a favorable structure of water balance in the basin studied, mainly using surface runoff. The simulated total flow and groundwater recharge are validated using river measurements and estimated baseflow at two gauging stations located in the study area, which yields a good agreement. The WetSpass model effectively integrates a water balance assessment in a geographical information system (GIS) environment. The WetSpass model is shown to be computationally reputable for such a remote complex setting as the African rift, with a correlation coefficient of 0.99 and 0.99 for total flow and baseflow at a significant level of p-value<0.05, respectively. The simulated annual water budget reveals that 77.22% of annual precipitation loses through evapotranspiration, of which 16.54% is lost via surface runoff while 6.24% is recharged to the groundwater. The calibrated groundwater recharge from the WetSpass model is then considered when determining the controlling factors of groundwater occurrence and formation, together with other multi-thematic layers such as lithology, geomorphology, lineament density and drainage density. The selected five thematic layers through MCDA are incorporated by employing the analytical hierarchy process (AHP) method to identify the relative dominance in groundwater potential zoning. The weighted factors in the AHP are procedurally aggregated, based on weighted linear combinations to provide the groundwater potential index. Based on the potential indexes, the area then is demarcated into low, moderate, and high groundwater potential zones (GWPZ). The identified GWPZs are finally examined using the existing groundwater inventory data (static water level and springs) in the region. About 70.7% of groundwater inventory points are coinciding with the delineated GWPZs. The weighting comparison shows that lithology, geomorphology, and groundwater recharge appear to be the dominant factors influence on the resources potential. The assessment of groundwater potential index values identify 45.88% as high, 39.38% moderate, and 14.73% as low groundwater potential zones. WetSpass model analysis is more preferable in the area like Gelana watershed when the topography is rugged, inaccessible and having limited gauging stations.     

新一轮就矿找矿

本文简要回顾了二十世纪五、六十年代就矿找矿的历史,进而提出新一轮的就矿找矿。相比之下,新一轮就矿找矿具有新的特点。深部找矿实则是一种就矿找矿,地壳连续成矿理论、深部流体(成矿)作用理论、成矿台阶理论都为新一轮就矿找矿提供了理论依据。深部找矿在国内外初显成效,湘中地区亦有很多成功案例。本文从3个方面总结了深部找矿的一些经验标志,即矿种及矿种组合系列标志、花岗岩成矿专属性标志、幔源成因矿床的鉴别标志。此外,辨别成矿流体的深(幔)源标志、加强成矿规律研究、更新观念、引进新技术新方法,都是实际深部找矿工作中需要注意的。     

Land quality index assessment for agricultural purpose using multi-criteria decision analysis (MCDA)

In this study, an attempt has been made to apply Remote Sensing (RS) and geographic information system (GIS) to determine land quality for agriculture purpose using analytic hierarchy process technique. In this study, various thematic layers were used like organic matter content, soil texture, soil depth, soil pH, soil P, soil K, geomorphology, run-off potential, slope and land use/land cover to assess the land quality index of the study area for the agriculture purpose which were generated in the RS and GIS environment. The study area can be divided into four zones, viz. high quality, moderately quality, marginally quality and low quality according to their suitability of land quality for agriculture purpose. It was found that about 39.09, 31.24, 20.41 and 9.26% of the study area falls under high quality zone, moderately quality, marginally quality and low quality zone, respectively, for agricultural purpose.     

基于决策树的洪泽湖湿地信息提取

湿地是地球的重要组成部分,快速而准确地提取湿地信息,是湿地动态监测和可持续发展的一项基础而重要的工作.以洪泽湖淡水湿地为研究对象,采用2006年8月19日的Landsat5 TM遥感影像为数据源,采用经K-T变换光谱增强后的数据及利用灰度共生矩阵分析影像第一主成分的纹理统计量作辅助分类变量,基于地物光谱特征、纹理特征和形状特征,运用决策树分类法提取洪泽湖湿地植被信息,将其分类结果与最大似然法的分类结果进行比较.结果表明:1)洪泽湖地区的湿地植被比较丰富,面积约占全湖的10.74％,其中以浮水植物为主.2)基于决策树的分类结果的精度有了明显的提高,总精度由77.33％提高到86.33％,Kappa系数由0.7292提高到0.8354,证明基于决策树分类方法是提取淡水湿地植被信息的有效手段.