Assessing Impacts of Typhoons and the Chi-Chi Earthquake on Chenyulan Watershed Landscape Pattern in Central Taiwan Using Landscape Metrics

The Chi-Chi earthquake (M_L = 7.3) occurred in the central part of Taiwan on September 21, 1999. After the earthquake, typhoons Xangsane and Toraji produced heavy rainfall that fell across the eastern and central parts of Taiwan on November 2000 and July 2001. This study uses remote sensing data, landscape metrics, multivariate statistical analysis, and spatial autocorrelation to assess how earthquake and typhoons affect landscape patterns. It addresses variations of the Chenyulan watershed in Nantou County, near the earthquake’s epicenter and crossed by Typhoon Toraji. The subsequent disturbances have gradually changed landscape of the Chenyulan watershed. Disturbances of various types, sizes, and intensities, following various tracks, have various effects on the landscape patterns and variations of the Chenyulan watershed. The landscape metrics that are obtained by multivariate statistical analyses showed that the disturbances produced variously fragmented patches, interspersed with other patches and isolated from patches of the same type across the entire Chenyulan watershed. The disturbances also affected the isolation, size, and shape-complexity of patches at the landscape and class levels. The disturbances at the class level more strongly affected spatial variations in the landscape as well as patterns of grasslands and bare land, than variations in the watershed farmland and forest. Moreover, the earthquake with high magnitude was a starter to create these landscape variations in space in the Chenyulan watershed. The cumulative impacts of the disturbances on the watershed landscape pattern had existed, especially landslides and grassland in the study area, but were not always evident in space and time in landscape and other class levels.     

废钻井液固化实验研究

利用经实验筛选的固化剂配方对废钻井液进行了固化处理的室内配方研究。结果表明,经该固化剂配方处理后的固结材料在水中浸泡5d后的浸出液在色度、化学需氧量、pH值、石油类、悬浮物含量和重金属含量等指标方面可达到国家《污水综合排放标准》(GB8978-1996)中的二级标准。     

A resilience-based approach for comparing expert preferences across two large-scale coastal management programs

This report proposes a method for assessing resilience-building components in coastal social–ecological systems. Using the proposed model, the preferences of experts in Masan Bay (South Korea) and Puget Sound (USA) are compared. A total of 30 management objectives were determined and used to build a hierarchic tree designed using the principles of the Analytic Hierarchy Process (AHP). Surveys were performed with 35 Puget Sound experts using face-to-face interviews and with 28 Masan Bay experts by mail. The results demonstrate that the legal objective, which enables legislation, was the highest preferred component in both regions. The knowledge translation variable was also given a high preference score in both regions. An analysis of variance (ANOVA) showed that the Puget Sound experts significantly favored attention to education, habitat restoration and species protection objectives in comparison to the Masan Bay experts. The Masan Bay experts placed greater emphasis on legislation and the type of institutional design than did the Puget Sound experts. Using cluster analysis, four distinct groups of respondents were independently identified in Puget Sound and three groups were identified in Masan Bay. One unique subgroup in the Puget Sound experts group, which was characterized by its high preferences for habitat restoration and species protection, was not observed in Masan Bay. Demographic variables (length of career and role in coastal issue) failed to account for the differences in groupings and preferences in either region, except for the variable ‘favoring information source’ in the Puget Sound group. This finding implies that the demographic information was not related to differences in group opinions in both regions. The analysis framework presented here was effective in identifying expert preferences regarding the overall structure and emphasis in coastal management programs. Thus, this framework can be applied towards coastal policy development.     

城市污水脱氮除磷方法探讨

本文综述了城市污水脱氮降磷工艺的几种主要方法,指出生物法因工艺简单、处理能力强、运行方式灵活等优点已成为近年来一种污水处理的重要方法,得到广泛应用。     

Age and contributing factors to unlicensed teen motorcycling

This study aims to examine the initial age when teenagers engage in unlicensed motorcycling in Taiwan and the factors contributing to their unlicensed behavior. Data were collected from the retrospective experience of a cohort of senior high school students and a Cox regression model was applied. The results indicated that an estimated 63.4% of the students had experienced riding before the legal age of 18 years. Contributing factors such as whether the students were in a vocational senior high school, male, and in households with higher motorcycle ownership rates led to an earlier riding age; in contrast, a higher degree of parental monitoring, fewer motorcycles in the household, living in Greater Taipei, and an increase in the bus density in the district delayed the ages of beginning motorcycling. The higher minimum licensing age of 18 in Taiwan has caused a debate about its effectiveness because of the high prevalence of unlicensed teenage riding. Measures such as parental monitoring, power- or speed-limited mopeds, training programs, and no duo-passengers should be carefully examined if a policy is to be made on lowering the age limit of motorcycling.     

修正高斯模型下气体泄漏源项信息反算研究

为快速准确地预测气体泄漏的强度和位置,通过耦合大气扩散模型和优化算法,建立源项信息反算模型的目标函数,基于泄漏源下风向的浓度分析计算泄漏源的位置和强度,并将混合粒子群(PSO)-差分进化(DE)算法应用到源项信息反算中,分析正向气体扩散模型对源项信息反算的影响,修正高斯烟羽模型中的烟气抬升高度,同时加入地面反射系数,并以美国空军有毒化学品扩散模型(AFTOX)模拟数据为监测泄漏浓度进行源反算,相对误差缩减至1%。结果表明:修正高斯扩散模型可验证粒子群-差分进化算法在源项信息反算中的应用;该模型在源项信息反算中的应用可有效地提高源项信息反算准确率。     

接枝淀粉高分子絮凝剂的合成及其应用

本文研究了Ｃｅ（Ⅳ）／ＨＮＯ３引发体系下，丙烯酰胺──淀粉接枝共聚合反应的影响因素及最佳工艺条件，由此得到的接枝淀粉接技效率达到９４．９％，支链分子量超过３００万．对多种工业污水絮凝处理结果表明，ＣＯＤｃｒ去除率、污泥沉降速度均不逊于聚丙烯酰胺３００万产品．     

Discovering meaningful information from large amounts of environment and health data to reduce uncertainties in formulating environmental policies

This study uses knowledge discovery concepts to analyze large amounts of data step by step for the purpose of assisting in the formulation of environmental policy. We performed data cleansing and extracting from existing nation-wide databases, and used regression and classification techniques to analyze the data. The current water hardness in Kaohsiung, Taiwan contributes to the prevention of cardiovascular disease (CVD) but exacerbates the development of renal stones (RS). However, to focus on water hardness alone to control RS would not be cost effective at all, because the existing database parameters do not adequately allow for a clear understanding of RS. Analysis of huge amounts of data can most often turn up the most reliable and convincing results and the use of existing databases can be cost-effective.