乙草胺、铜污染共存对土壤甲胺磷蚯蚓降解过程的影响研究

为揭示利用蚯蚓活动强化甲胺磷降解的可行性,采用了微宇宙培养方法,通过有蚯蚓和无蚯蚓的对比实验,考察了乙草胺和铜分别与甲胺磷共存条件下污染黑土中甲胺磷降解过程的动态变化.结果表明,无论是否加入蚯蚓,甲胺磷单一污染的土壤中甲胺磷的降解符合一级反应动力学规律;蚯蚓活动能促进甲胺磷降解过程的进行.土壤中乙草胺或铜与甲胺磷共存时,均明显地干扰了甲胺磷降解过程随时间的动态变化;根据化学结构分析,推测两者对甲胺磷降解规律的影响机制可能类似.铜与甲胺磷复合污染的土壤中甲胺磷含量明显高于乙草胺与甲胺磷复合组,说明铜较乙草胺对土壤甲胺磷降解过程的延缓作用更强.     

纳米TiO2光催化脱色效果的影响研究

采用偶联剂法制备负载型纳米TiO2光催化剂，对染料废水进行脱色试验研究。结果发现，将废水pH值控制在10～11，通过曝气、添加H2O2、Fe^3 等措施能有效提高废水脱色效果，脱色率在95％以上。     

约束求解的数据模型及算法

此文针对参数化造型系统中约束方程组的求解问题,深入分析了匹配求解的核心思想,提出了一种简单实用的约束网络建模方法,并且围绕该数据模型介绍了与其相关的算法.     

Total nitrogen and community turnover determine phosphorus use efficiency of phytoplankton along nutrient gradients in plateau lakes

Numerous studies support that biodiversity predict most to ecosystem functioning, but whether other factors display a more significant direct impact on ecosystem functioning than biodiversity remains to be studied. We investigated 398 samples of the phytoplankton phosphorus resource use efficiency (RUE_P = chlorophyll-a concentration/dissolved phosphate) across two seasons in nine plateau lakes in Yunnan Province, China. We identified the main contributors to phytoplankton RUE_P and analyzed their potential influences on RUE_P at different lake trophic states. The results showed that total nitrogen (TN) contributed the most to RUE_P among the nine lakes, whereas community turnover (measured as community dissimilarity) explained the most to RUE_P variation across the two seasons. Moreover, TN also influenced RUE_P by affecting biodiversity. Species richness (SR), functional attribute diversity (FAD2), and dendrogram-based functional diversity (FDc) were positively correlated with RUE_P in both seasons, while evenness was negatively correlated with RUE_P at the end of the rainy season. We also found that the effects of biodiversity and turnover on RUE_P depended on the lake trophic states. SR and FAD2 were positively correlated with RUE_P in all three trophic states. Evenness showed a negative correlation with RUE_P at the eutrophic and oligotrophic levels, but a positive correlation at the mesotrophic level. Turnover had a negative influence on RUE_P at the eutrophic level, but a positive influence at the mesotrophic and oligotrophic levels. Overall, our results suggested that multiple factors and nutrient states need to be considered when the ecosystem functioning predictors and the biodiversity-ecosystem functioning relationships are investigated.     

国内外环境监测分析的现状和发展

从实验室分析仪器和技术、与污染物总量控制有关的自动监测系统和技术，与应急事故监测有关的现场简易监测分析仪器和技术等方面概括介绍了环境监测分析仪器和技术的现状与发展，并概要介绍了日美及中国环境监测分析产业的现状与发展。     

高分辨率遥感影像在生态环境状况评价中的应用——以戚浦塘生态调查为例

以苏州市戚浦塘疏浚工程生态调查为例,分别解译分辨率30 m和2.5 m的遥感图像,对比分析解译结果,量化研究了不同分辨率的解译数据对生物丰度指数、植被覆盖指数和生态环境状况指数的影响,为进一步探讨高分辨率遥感图像在区域生态环境状况评价中的应用指明了方向.     

抚仙湖面源污染特征及其防治对策

根据抚仙湖径流区污染物负荷量的调查结果,抚仙湖水污染特征以面源为主,面源入湖水量占98%,TP占81.4%,TN占85.9%,因此控制面源是保护抚仙湖的关键。提出了防治抚仙湖面源污染的生态治理及工程治理对策。     

我国生态工业园区稳定性的调研报告

作为可持续发展的重要实践工具，生态工业园（EIPs）建设得到快速推进的同时，也由于多方面存在的影响因素制约，使园区面临“不稳定”风险．本调研报告通过专家调查和全国范围内的统计调查确认了“技术充足，政府支持，行业多样，核心组员，成员沟通”等5个影响因素对我国生态工业园区稳定发展具有显著影响，并对数据结果做了进一步的讨论，提出了相应的政策建设。     

昆明空气污染物等级与天气背景的关系

通过样本分析得出：昆明空气污染物主要为SO2,为轻度污染;秋冬季出现污染日较多,可分为高压脊控制型和偏西气流型天气背景。夏季出现污染日较少,主要为高压脊控制型天气背景;污染物浓度在一天中的分布特征呈“W”型;污染物预报方程。     

Spatial variations in daily average CO2 concentrations above wetland surface of Xianghai National Nature Reserve, China

Horizontal and vertical variations of daily average CO2 concentration above the wetland surface were studied in Xianghai National Nature Reserve of China in August, 2000. The primary purpose was to study spatial distribution characteristics of CO2 concentration on the four levels of height(0.1 m, 0.6 m, 1.2 m and 2 m) and compare the differences of CO2 concentration under different land covers. Results showed that daily average CO2 concentration above wetland surface in Xianghai National Natural Reserve was lower than that above other wetlands in northeast China as well as the worldwide average, suggesting that Xianghai wetland absorbed CO2 in August and acted as“sink” of CO2. The horizontal variations on the four levels of height along the latitude were distinct, and had the changing tendency of“decreasing after increasing” with the increase of height. The areas with obvious variations were consistent on different levels of height,and those with the highest variations appeared above surface of shore, sloping field, Typha wetland and Phragmites wetland; the vertical variations were greatly different, with the higher variations in Phragmites wetland and Typha wetland, and the lands near the shore and the sloping field with the lower variations. Spatial variations of daily average CO2 concentrations above wet!and surface were affected by surface qualities and land covers.