循环经济国内外立法研究

二十世纪九十年代以来,由于传统线性经济带来的恶性结果,发展循环经济在国际社会上蔚为风潮.许多西方国家纷纷进行循环经济立法活动,德国和日本建立了较为完善的循环经济法律体系.从西方国家的立法经验我们可以看出,要发展循环经济,建立一个完善的法律保障体系至关重要.我国的循环经济立法还处在初级阶段,要吸收和借鉴先进经验,制定修改一批法律、法规,建立完善的循环经济法律体系,以促进循环经济发展.     

鱼吸收富集LAS的分析研究进展

LAS对鱼等水生生物均产生有害影响,会破坏鱼鳃上皮组织、影响其相关功能(如通透性等)。LAS经由鱼鳃吸收、并通过血液输送到鱼体中各组织。LAS疏水性越大,其在鱼体中生物富集系数越大。水硬度等影响鱼吸收、富集LAS。鱼体中LAS生物转化过程减小了LAS生物富集。鱼体中LAS及其生物转化产物大多是经过固相萃取或基质固相分散萃取后,采用HPLC或HPLC/MS等方法进行分析。     

Impact of atrazine and nitrogen fertilizers on the sorption of chlorotoluron in soil and model sorbents

Sorption of chlorotoluron in ammonium sulfate, urea and atrazine multi-solutes system was investigated by batch experiments. The results showed application of nitrogen fertilizers to the soil could affect the behavior of chlorotoluron. At the same concentration of N, sorption of chlorotoluron decreased as the concentration of atrazine increased on the day 0 and 6 in soil, respectively. The sorption of chlorotoluron increased from 0 to 6 d when soils were preincubated with deionized water, ammonium sulfate and urea solution for 6 d. That indicated incubation time was one of the most important factors for the sorption of chlorotoluron in nitrogen fertilizers treatments. The individual sorption isotherms of chlorotoluron in rubbery polymer and silica were strictly linear in single solute system, but there were competition sorption between pesticides or between pesticides and nitrogen fertilizers. That indicated the sorption taken place by concurrent solid-phase dissolution mechanism and sorption on the interface of water-organic matter or water-mineral matter.     

基于机器学习的电热防除冰表面温度变化趋势预测

针对飞机部件周期控制律电加热防除冰的应用,提出基于机器学习以预测电加热防除冰表面温度的变化趋势.依靠大型结冰风洞及其电加热防除冰控制系统完成防除冰试验,获得有效的试验数据,以通、断电周期为分割单元,将试验数据划分成验证集和训练集.根据电热防除冰过程的换热情况,构建样本的特征参数,利用机器学习的有监督学习方式,选择KNN近邻回归算法和局部线性加权回归算法预测温度变化率,再转换为温度,得到的温度变化与测量数据的线性相关性达到80％以上的高相似度结果,表明使用机器学习可快速预测电热防除冰部件的表面温度变化趋势,且不同的回归算法针对模型不同测温点位置的预测效果存在差异.     

金沙江流域水土流失现状与河道泥沙分析

对金沙江流域水土流失、河道泥沙及主要影响因素系统作了分析,认为地质、地貌及气候因子是影响水土流失的主要因素,人为活动加剧水土流失的发生发展。河道泥沙主要来自金沙江下游,特别是下游干流河谷区间,流域的地面侵蚀与河道泥沙的空间关系不密切,影响输沙量的主要因素为年径流量和清水区年径流量,以及滑坡、泥石流等重力侵蚀,尽管水土流失治理对于流域的河道泥沙减沙效应显著,但短期内对流域干支流输沙量影响甚微。今后一段时间内金沙江流域河道泥沙不会有显著的变化     

有机磷类杀螺增效剂在土壤中的吸附行为

通过测定16个有机磷类杀螺增效剂在安徽省宿县土壤中的有机硕吸附系数（Koc),研究了该类化合物的环境行为;并用碎片分子连接性指数（FMCIs)和线性溶剂化能参数（LSERs)结构描述符,与土壤有机碳吸附系数之间进行了定量结构-性质相关（QSPR）分析,所得到的两组预测方程,可用于该类化合物的生态风险评价。     

Evaluating the ability of habitat suitability models to predict species presences

Models predicting species spatial distribution are increasingly applied to wildlife management issues, emphasising the need for reliable methods to evaluate the accuracy of their predictions. As many available datasets (e.g. museums, herbariums, atlas) do not provide reliable information about species absences, several presence-only based analyses have been developed. However, methods to evaluate the accuracy of their predictions are few and have never been validated. The aim of this paper is to compare existing and new presence-only evaluators to usual presence/absence measures.     

Regression analysis of forest inventory data with time and space dependencies

In this paper the data of a forest health inventory are analyzed. Since 1983 the degree of defoliation, together with various explanatory variables (covariates) concerning stand, site, soil and weather, are recorded by the second of the two authors, in the forest district of Rothenbuch (Spessart, Bavaria). The focus is on the space and time dependencies of the data. The mutual relationship of space-time functions and the set of covariates is evaluated. For this we use generalized linear models (GLMs) for ordinal response variables and semiparametric estimation approaches. By using goodness-of-fit measures it turns out that (i) the contribution of space-time functions is quantitatively comparable with that of the set of covariates, (ii) the contribution of space-time functions is small compared with the contribution of a set of variables describing the last-year and neighboring response values. By applying appropriate residual methods a detailed analysis of the individual sites in the area can be carried out. This analysis reveals where the predictive power of the covariates fail to explain the observed defoliation.     

运用QSPR预测有机磷农药的色谱保留值

通过计算43种有机磷农药的各种结构参数,运用多元线性回归分析方法比较了适用于有机磷农药色谱保留值的定量关系表达式,建立了有机磷农药结构参数对色谱保留值的QSPR模型.模型分析表明:磷酸酯与硫逐磷酸酯两类有机磷农药的模型非交叉验证相关系数R2分别为0.991和0.998,标准误差SE分别为0.0539和0.2874,交叉验证相关系数Q2分别为0.976和0.990,标准偏差Scv分别为0.086和0.610.在已知磷酸酯与硫逐磷酸酯两类有机磷农药结构参数的情况下,此模型可有助于有机磷农药的色谱分析.     

拟面积多波长数据线性双组合解析萘,1—萘酚和2—萘酚同步荧光光谱的研究

本文研究了Δλ（λｅｍ－λｅｘ）为１３０ｎｍ和ＰＨ１２．０条件下，萘、１－萘粉和２－萘酚混合物的同步荧光光谱，获三者同步荧光峰信息，且萘被完全分辨，另外，提出用拟面积多波长线性双组合计算解析重叠的１－萘酚和２－萘酚同步荧光光谱，解析结果的精密度、组份间浓度比范围均较多波长线性回归、双峰增配平和一阶导数解析混合物同步荧光光谱结果为优。