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.     

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.     

Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images

Soil erosion associated with non-point source pollution is viewed as a process of land degradation in many terrestrial environments. Careful monitoring and assessment of land use variations with different temporal and spatial scales would reveal a fluctuating interface, punctuated by changes in rainfall and runoff, movement of people, perturbation from environmental disasters, and shifts in agricultural activities and cropping patterns. The use of multi-temporal remote sensing images in support of environmental modeling analysis in a geographic information system (GIS) environment leading to identification of a variety of long-term interactions between land, resources, and the built environment has been a highly promising approach in recent years. This paper started with a series of supervised land use classifications, using SPOT satellite imagery as a means, in the Kao-Ping River Basin, South Taiwan. Then, it was designed to differentiate the variations of eight land use patterns in the past decade, including orchard, farmland, sugarcane field, forest, grassland, barren, community, and water body. Final accuracy was confirmed based on interpretation of available aerial photographs and global positioning system (GPS) measurements. Finally, a numerical simulation model (General Watershed Loading Function, GWLF) was used to relate soil erosion to non-point source pollution impacts in the coupled land and river water systems. Research findings indicate that while the decadal increase in orchards poses a significant threat to water quality, the continual decrease in forested land exhibits a potential impact on water quality management. Non-point source pollution, contributing to part of the downstream water quality deterioration of the Kao-Ping River system in the last decade, has resulted in an irreversible impact on land integrity from a long-term perspective.     

Effects of calibration on L-THIA GIS runoff and pollutant estimation

Urbanization can result in alteration of a watershed's hydrologic response and water quality. To simulate hydrologic and water quality impacts of land use changes, the Long-Term Hydrologic Impact Assessment (L-THIA) system has been used. The L-THIA system estimates pollutant loading based on direct runoff quantity and land use based pollutant coefficients. The accurate estimation of direct runoff is important in assessing water quality impacts of land use changes. An automated program was developed to calibrate the L-THIA model using the millions of curve number (CN) combinations associated with land uses and hydrologic soil groups. L-THIA calibration for the Little Eagle Creek (LEC) watershed near Indianapolis, Indiana was performed using land use data for 1991 and daily rainfall data for six months of 1991 (January 1-June 30) to minimize errors associated with use of different temporal land use data and rainfall data. For the calibration period, the Nash-Sutcliffe coefficient was 0.60 for estimated and observed direct runoff. The calibrated CN values were used for validation of the model for the same year (July 1-December 31), and the Nash-Sutcliffe coefficient was 0.60 for estimated and observed direct runoff. The Nash-Sutcliffe coefficient was 0.52 for January 1, 1991 to December 31, 1991 using uncalibrated CN values. As shown in this study, the use of better input parameters for the L-THIA model can improve accuracy. The effects on direct runoff and pollutant estimation of the calibrated CN values in the L-THIA model were investigated for the LEC. Following calibration, the estimated average annual direct runoff for the LEC watershed increased by 34%, total nitrogen by 24%, total phosphorus by 22%, and total lead by 43%. This study demonstrates that the L-THIA model should be calibrated and validated prior to application in a particular watershed to more accurately assess the effects of land use changes on hydrology and water quality.     

玉米浸泡液制备苏云金杆菌生物杀虫剂的影响因素研究

以玉米淀粉生产过程中的浸泡液为培养基,摇瓶发酵培养苏云金杆菌生物杀虫剂,通过一系列单因子试验,考察了不同培养条件(种子液的种龄、接种量、浸泡液的含固率、初始pH值、摇床转速、发酵温度及发酵时间)对苏云金杆菌在玉米浸泡液中的生长(菌数增长与芽孢形成)以及发酵液的生物毒效的影响.研究表明,在最佳摇瓶培养条件(种子液种龄10 h,接种量2%,浸泡液含固量3%,初始pH值7.0～7.5,摇床转速200 r/min,发酵温度30℃)下发酵48 h,活菌数和活芽孢数分别可达到7.9×108 CFU/mL和5.5×108 CFU/mL,毒力效价为698.0 IU/μL.本试验可为生物农药的工业化生产提供实用参数.     

土著微生物修复铬(Ⅵ)污染土壤的条件实验研究

根据铬(Ⅵ)污染土壤中筛选出的土著微生物初步解毒实验结果,将土著菌种制成六价铬还原菌剂,通过时间、温度、菌量、pH值、有机质用量等单因素条件实验,发现温度和有机质含量对六价铬还原影响显著,在上述各项较佳条件下施用该菌剂1个月后,对于浸出液六价铬浓度范围从10-55mg/L的污染土壤,六价铬的还原效果都可达到90%以上,高于化学法,这说明该菌剂可有效应用于六价铬土壤的生物修复。     

聚氨酯泡沫材料阴燃发展过程的特性分析

分析对比了相同加热条件下的聚氨酯泡沫材料在有氧和无氧气氛下的升温过程,并对不同加热条件下的聚氨酯泡沫材料的阴燃传播速度进行研究.结果表明:沿着反应进行的方向,分离点的温度越来越低,不同热流条件下的温度分离曲线斜率在实验稳定发展段的变化规律表现得很相似,并在分离点出现后,有氧气氛中的该位置温度在短时间内急剧上升;在阴燃不稳定传播阶段时,热解前锋的速度小于氧化前锋的速度,在稳定传播阶段时,热解前锋速度与氧化前锋速度近乎相等.     

TRMM和GPM卫星降水数据在中国三大流域的降尺度对比研究

以中国三大流域为研究区域,分别针对TRMM 3B43和GPM IMERG降水数据,构建基于归一化植被指数(NDVI)和数字高程模型(DEM)数据的地理加权回归(GWR)模型,以2014年夏季(6～8月)数据为例,得到了三大流域1 km分辨率的降尺度降水数据,并进一步通过气象站点数据对降尺度结果进行验证.研究表明:(1) GPM原始数据整体精度优于TRMM数据,两种数据在黄河流域的精度评价指标优于长江流域与珠江流域;(2)经降尺度计算,两种数据空间分辨率得到了显著提高,且表现出更多降水变化的细节与趋势,但精度指标对原始数据依赖性大,导致提升并不显著;(3)当联合使用NDVI及DEM作为GWR降尺度模型的辅助变量时,两种降尺度结果的差异值在长江流域与珠江流域的高海拔地区中更为显著;(4)黄河流域中,使用不同辅助变量下的降尺度结果在空间分布上总体相似.TRMM数据使用地形作为单独辅助变量的降尺度结果最佳,而GPM数据不同辅助变量下降尺度结果差异并不明显.     

Increased risk of preterm delivery among people living near the three oil refineries in Taiwan

The petrochemical and petroleum industries are two of the main sources of industrial air pollution in Taiwan. Data used in this study concern outdoor air pollution and the health of individuals living in communities in close proximity to oil refinery plants. The prevalence of delivery of preterm birth infants was significantly higher in mothers living near the oil refinery plants than in control mothers in Taiwan. After controlling for several possible confounders (including maternal age, season, marital status, maternal education, and infant sex), the adjusted odds ratio was 1.14 (95% CI=1.01-1.28) for delivery of preterm infants for mothers living near oil refinery plants. These data provide further support for the hypothesis that air pollution can affect the outcome of pregnancies.     

生态文明体制全面改革的“四然”问题

生态文明体制改革的问题导向性、目标适应性、统筹兼顾性,既是现实的环境问题所迫,也是生态文明理论和建设目标的内在要求。近两年来,为了促进生态文明体制的全面改革,中央发布了《关于加快推进生态文明建设的意见》、《生态文明体制改革总体方案》等系列文件。其中,《生态文明体制改革总体方案》因对生态文明体制改革作出全面部署,理论性和实践性相结合,科学性和民主性相结合,制度规范与考核评价相结合,成为统帅生态文明体制改革的纲领性文件。系列改革文件在治理理念、治理策略、治理主体、治理结构、治理依据、治理方法、治理功能和治理体系的运转方面,逻辑自洽,提出了自己的历史使命。"十三五"时期,要使改革的措施和要求落地生根,须在营造氛围和措施的具体推进方面,开展相关的工作。