基于GIS格网化分析支撑的旅游空间规划技术方法研究——以青岛市为例

空间规划是支撑旅游地发展规划的核心章节,目前主要依靠规划者经验判断,主观性较强,缺乏客观方面的信息数据支持。论文将GIS格网化与旅游资源评价模型相结合,提出了旅游资源单体采集、旅游资源格网化及其空间分析方法,并融合旅游资源群评价模型、旅游功能区识别模型、旅游线路和空间发展轴线识别模型予以支撑,形成了标准化的旅游资源采集、评价到空间识别的集成技术方法;并以青岛市为例,识别出了旅游资源集群及其发展潜力、旅游功能区和空间拓展轴线,确立了“一心、一带、三轴、五区”的空间发展格局。论文初步探讨了GIS格网化空间分析方法在区域旅游规划中的应用,能够补充传统定性评价方法客观性不足的缺陷,实现复杂旅游资源数据的单体评价、旅游资源集群评价、旅游功能区识别、旅游线路和空间发展轴线优选的系列化分析技术路线,可为延伸旅游规划深度、提高规划精度提供科学参考。     

南太湖入湖口2008～2009浮游植物及营养现状评价

对2008年9月～2009年8月南太湖入湖口浮游植物进行调查,结果显示,南太湖入湖口6个点位浮游植物共有8门93种,其中中营养化和富营养化藻种占45%左右。典型的富营养化水体指示藻类微囊藻和隐藻在1#～6#点位均为优势种。基于Shannon-Veaner指数和Pielou指数并结合同期水质类别结果判定：1#～6#为无污染。     

水库出流对水库环境容量的影响研究

水库的出流是影响水库流场的重要因素,也是影响水库水环境容量的重要因素。文章以某水库为例,利用计算流体力学及水质计算软件计算了水库在不同泄流宽度下出流的流量,并根据不同泄流宽度下水库的流场和浓度场计算了对应的水库环境容量值,分析了出流宽度、出流流量和水环境容量三者之间的关系。     

层次分析法在功能区噪声监测点位优选中的应用

运用层次分析法对功能区噪声进行优选,各功能区噪声监测点位个数分配根据功能区面积和复杂性、各功能区噪声监测点位确定根据专家比例标度赋值进行评定。     

建设项目环境影响后评价

建设项目环境影响后评价是一个新生事物,它的发生和发展需要人员的关注和支持。《中华人民共和国环境影响评价法》是建设项目环境影响后评价的法律依据,建设项目环境影响后评价分为主动后评价和责成后评价,应当在建设项目正常运行阶段,运行负荷会达到设计符合的75%以上进行。建设项目环境影响后评价的主要程序分为准备阶段、评价阶段和报告编制阶段,各阶段均有后评价独特的工作内容和技术要求。据此以污水处理厂后评价为例,沿着评价程序的这一主线,详细介绍了建设项目环境影响后评价各阶段的主要工作内容和技术要求,为规范建设项目环境影响后评价提供思路。     

Degradation of chlorpyrifos in laboratory soil and its impact on soil microbial functional diversity

Degradation of chlorpyrifos at different concentrations in soil and its impact on soil microbial functional diversity were investigated under laboratory conditions. The degradation half-lives of chlorpyrifos at levels of 4, 8, and 12 mg/kg in soil were calculated to be 14.3, 16.7, and 18.0 d, respectively. The Biolog study showed that average well color development (AWCD) in soils was significantly (P < 0.05) inhibited by chlorpyrifos within the first two weeks and thereafter recovered to the similar level as the control. A similar variation in the diversity indices (Simpson index 1/D and McIntosh index U) in chlorpyrifos-treated soils was observed, no significant difference in the Shannon-Wiener index H' was found in these soils. With increasing chlorpyrifos concentration, the half-lives of chlorpyrifos were significantly (P ≤ 0.05) extended and its inhibitory effects on soil microorganisms were aggravated. It is concluded that chlorpyrifos residues in soil had a temporary or short-term inhibitory effect on soil microbial functional diversity.     

Classification of different sustainable flood retention basin types

Using a revised version of a previously published expert classification system, a database of potential Sustainable Flood Retention Basins has been developed for Scotland. The research shows that the majority of small and former (often old) drinking water reservoirs are kept full and their spillways are continuously in operation. Utilising some of the available capacity to contribute to flood control could significantly reduce the costs of complying with the European Union Flood Directive. Furthermore, the application of a previously developed classification model for Baden in Germany for the Scottish data set showed a lower diversity for basins in Scotland due to less developed infrastructure. The classification system appears to be robust and has the potential, with minor modifications, to be applied across Europe. The principle value of this approach is a clear and unambiguous categorisation, based on standard variables, which can help to promote communication and understanding between stakeholders.     

冬季长江口及其邻近水域的浮游植物

根据2006年2月19日～3月5日在长江口及其邻近水域进行的大面调查所获样品,报道了该水域浮游植物的群落特征.此次调查共发现浮游植物5门56属116种(包括未定名17种).调查水域浮游植物群落以硅藻为主,其次为甲藻,此外还有少量的金藻、蓝藻和绿藻.主要优势种为具槽帕拉藻Paralia sulcata、离心列海链藻Thalassiosira excentricus、圆海链藻Thalassiosira rotula和辐射圆筛藻Coscinodiscus radiatus.调查区浮游植物的细胞丰度介于(111.11～2315.56)×104 /m3,平均值为914.87 ×104 /m3.近岸和调查区的东北部表层浮游植物丰度较高,其他区域表层丰度较低.浮游植物的垂直分布特征是细胞丰度的最大值出现在表层以下,随深度的增加,浮游植物的细胞丰度先上升后下降.多样性分析表明,香农-威纳多样性指数和Pielou均匀度指数在近岸口门处较高,离岸水域较低.     

The method for leakage detection of urban natural gas pipeline based on the improved ITA and ALO

To solve the problems of the difficulty in early leakage monitoring and larger positioning error for urban hazardous chemicals pipelines, the optimized method based on the improved Inverse Transient Analysis (ITA) and Ant Lion Optimizer (ALO) was proposed. Firstly, based on the obtained experiment's results of leakage of natural gas in the non-metallic pipeline, the segment classification method was incorporated into the pressure gradient calculation. The modified method can adapt to the multi-node characteristics of urban pipe networks and help to obtain the preliminary positioning calculation results after optimization. Then the calculation results were embedded in the ITA calculation model. The input parameters of the gas pipeline such as boundary conditions, leakage rate and friction coefficient were used to establish the characteristic linear equations. Then the objective function of the least-squares criterion was defined, and the improved ITA model suitable for leakage detection of urban natural gas pipeline networks was constructed. Finally, the ALO was used to optimize the calculation process of the improved ITA model, and iteratively optimize the optimal friction coefficient and its corresponding minimum objective function (OF) value. As a result, a more precise location of the leakage source was calculated. The validation of the modified method is conducted by comparing the calculated values with the experiment's results. The results show that the method can accurately predict the location where the pipeline leakage occurs. The minimum error is 3.17%. Compared with the traditional ITA, this method not only accelerates the convergence speed of the objective function, but also improves the accuracy of location calculation.     

Assumptions beyond the science: encouraging cautious conclusions about functional magnetic resonance imaging research on organizational behavior

Functional magnetic resonance imaging (fMRI) is likely to become the major tool for studying the neural underpinnings of organizational behavior. It is a technique for brain imaging that, according to advocates, provides information about which areas of the brain are activated during organizational processes (e.g., leadership and decision‐making). In this article, we take a critical look at this tool from a technical perspective. In particular, we take the reader through the assumptions that must be made at the three main steps of the research process (study design, data capture, and interpretation of results) in order to draw conclusions about organizational phenomena from fMRI research. Applying this analysis to three case studies demonstrates the gap between what fMRI can actually tell us and the claims often made about the contribution of fMRI to understanding and improving organizational behavior. Our discussion provides researchers with a series of recommendations oriented toward optimizing the use of fMRI to help it live up to its potential in the field of organizational behavior and consumers with a means of evaluating fMRI research in order to draw appropriate and warranted conclusions. Copyright © 2016 John Wiley & Sons, Ltd.