2006-2016年昆明市雷电致灾因素分析及易损性风险区划

基于近11 a（2006-2016）云南省闪电定位监测数据以及雷电灾害汇编资料,运用ArcGIS对闪电数据与地理信息进行叠加,分析昆明市地闪活动规律和雷电灾害时空分布特征,结合地理环境、人口分布和经济社会发展情况,研究雷电致灾成因机制。从灾害系统理论和综合易损性出发,构建评价指标体系及权重判断矩阵,计算雷电灾害风险综合评价指数R值并进行分级,形成昆明市雷电灾害易损性风险区划。结果表明：频繁活跃的地闪活动是导致雷电灾害多发的主要致灾影响因子,雷电灾害的时空分布与地闪活动的变化特征存在较好的对应关系。全市有雷电灾害高易损区3个,次高易损区2个,中易损区4个,次低易损区4个,低易损区1个,建立雷电灾害易损性区划,能够为确定雷电防护重点和防范等级提供必要的参考依据,通过完善雷电防护措施,可以增强承灾体抵御雷电灾害的能力。     

天然状态与饱和状态下的不稳定斜坡危险性对比分析

本文依据北京市房山区史家营乡大村涧村的调查成果,借助于有限元分析软件,建立居住区附近影响范围内的边坡三维工程地质力学模型和弹塑性模型,利用有限差分法分析,对单一矸石堆边坡和矸石-岩土混合型边坡,进行计算分析,对比分析了这两种边坡在天然状态下与饱和状态下的安全系数,最终进行了边坡危险性评价。     

生活垃圾卫生填埋地质环境(LFGE)效应的系统分析方法研究——以上海浦东新区为例

在系统分析总结国内外本领域的研究发展现状的基础上,以上海浦东新区城市生活垃圾卫生填埋处理为研究背景,首次提出ＬＦＧＥ效应系统分析方法的完整理论和应用体系,体系主要包括：ＬＦＧＥ效应的主控因素特征分析;在垃圾淋滤试验、有关土的工程性能试验和反映运移转化特征的土柱试验基础上的作用机制研究;具单元、组合、整体模拟及压实效应模拟功能的模拟计算研究;在不确定性条件存在下,随机模拟研究和以贝叶斯决策分析理论为基础的ＬＦＧＥ效应决策分析技术经济转换研究     

发挥地震学会优势促进防震减灾工作--关于加强山西省地震学会管理工作的几点思考

随着我国机构改革的不断深入和社会主义市场经济体制的逐步建立和完善，地震学会同其他社会团体一样将成为现代社会的支柱之一。以山西省地震学会目前的工作现状为例，指出学会在管理体制、运行机制和活动方式等方面存在的问题，提出了发展思路及建议。     

地下水节水自律机制研究

本研究课题为水利部开展的节水型社会建设重大研究课题之一,以水权管理为基础,以提高水资源利用效率和效益为核心,坚持制度激励与工程建设相结合、市场机制与行政管理相结合,深入研究影响地下水类型区自律节水的关键因素,提出实现自律节水的有效方法,最终建立一套完整的适应市场经济特点的地下水节水自律运行模式。     

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments,but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT)model and the K-means cluster algorithm to produce a regional landslide susceptibility map.Yanchang County,a typical landslide-prone area located in northwestern China,was taken as the area of interest to introduce the proposed application procedure.A landslide inventory containing 82 landslides was prepared and subse-quently randomly partitioned into two subsets:training data(70％landslide pixels)and validation data(30％landslide pixels).Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means clus-ter algorithm.The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC)curve)of the proposed model was the highest,reaching 0.88,compared with traditional models(support vector machine(SVM)=0.85,Bayesian network(BN)=0.81,frequency ratio(FR)=0.75,weight of evidence(WOE)=0.76).The landslide frequency ratio and fre-quency density of the high susceptibility zones were 6.76/km2 and 0.88/km2,respectively,which were much higher than those of the low susceptibility zones.The top 20％interval of landslide occurrence probability contained 89％of the historical landslides but only accounted for 10.3％of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without contain-ing more"stable"pixels.Therefore,the obtained susceptibility map is suitable for application to landslide risk management practices.     

区域复合生态系统分析及其可持续发展对策

从系统物质循环角度分析了人类社会-经济-自然复合生态系统不可持续发展的原因是由于大量生产-大量消费-大量废弃的线性生产和消费模式耗用了大量资源，产生太多的废弃物，破坏了复合系统正常的物质代谢。提出系统调节，实现系统可持续发展的途径，包括控制人口增长，适度消费；调整复合系统生产链的数量结构和比例关系；建立协调的结构网络关系，构建循环型社会。     

Business case for mussel aquaculture in offshore wind farms in the North Sea

The European Blue Growth strategy aims to expand the new maritime sectors of aquaculture, energy, biotechnology, coastal tourism and mineral mining. Growth of these sectors will increases pressure on the seas, particularly on those areas that are densely used by traditional sectors such as fisheries and transport. This has triggered interest in developing multiuse of space and multiuse platforms at sea. This paper assesses the feasibility of offshore mussel production project in wind farms by design and ex-ante evaluation of a mussel aquaculture system in the North Sea. A system for mussel cultivation in the Dutch Borssele offshore wind farm was designed, producing both mussel seed and consumption-sized mussels with semi-submerged longlines. Based on the economic model and the risk assessment, this paper concludes that mussel aquaculture is an appealing commercial model for increased returns in offshore wind farms. The economic models shows that the internal rate of return and net present value are positive and based on the sensitivity analysis, it can be concluded that these results are robust.