甘肃省环境天然放射性水平研究

近年来,国内外在环境天然放射性水平研究方面做了一些工作.在国内,由于研究目的各有侧重,因而在布点原则等方面有所不同.在全国环境保护系统的天然放射性水平研究中,象甘肃省这种跨度大(东经92°13′—108°46′,北纬32°31′—42°57′)、地形地貌极其复杂(有沙漠、戈壁、山区、高原、草原、河谷盆地等)、海拔高度差别悬殊(有600m河     

多环芳烃的零阶价分子连接性指数与正-辛醇/水分配系数

本文建立了准确预测多环芳烃(PAHs)及其烷基衍生物的正-辛醇/水分配系数(Kow)模型。模型表明PAHs的分配性质可用零阶价分子连接性指数(~°x~v)描述,~°x~v数值与PAHs的logKow成正比。应用本模型可以预测大范围PAHs的logKow值。     

A complete set of procedure for determination of multiresidue of pesticides in vegetables

A complete set of procedure for determination of multiresidue of pesticides in vegetables was presented in this paper.The complete set of procedure included three steps:bioassay,cholinesterase inhibition and GLC analysis.The samples could be identified to be contaminated with pesticides if 5% of house flies was knocked down in 50 tested house flies. Those samples contaminated with pesticides needed to be detected by AChE inhibition method.The qualitative and quantitative analyses were carried out by GLC.Recoveries ranged from 83.7% in Chinese cabbages to 105.6% in tomatoes for pyrethroids,and 84.0% in tomatoes to 102.7% in sweetbell redpeppes for organophosphorus compounds.Coefficients of variations ranged from 0.59% to organophosphorus compounds.Coefficients of variations ranged from 0.59% to 7.87% for pyrethroids. and 0.33% to 9.88% for organophosphorus compounds with vegetables. The complete set of procedure has been used successfully to analyze 7000 samples collected in Beijing. About 1% of the samp     

基于LonWorks现场总线技术的城市污水处理系统的设计与实现

主要讨论了利用LonWorks现场总线技术来实现城市污水处理厂污水处理系统的实时控制，本系统采用IPC和PLC控制结构对现场的各种设备进行实时控制和数据的采集，通过LonWorks现场总线网络自动收集和传输污水处理系统的数据到中心控制室，中心控制室的计算机分析数据后对现场进行实时监控，实现污水处理的自动控制和无人化管理，中心控制室也可以通过Internet与远程终端互相通讯，向各终端提供实时的数据和远程终端对污水处理系统的实时监控。     

郑州大气氮氧化物污染与灰色分析

通过对郑州市大气中NOx的监测和分析，初步揭示了NOx变化的规律。同时，运用灰色关联度分析，定量地分析了影响郑州市NOx变化的因素。并建立了该市的NOx产生量的GM（1，1）预测模型。结果表明：（1）影响NOx污染的主要因子是家庭用气普及率；（2）NOx在大气中的浓度呈逐年下降的趋势，2002年预测值为0.043mg/m^3。     

西安地区土壤CO2 释放量和释放规律

根据碱溶液吸收法,对西安地区不同植被条件下土壤CO2释放量进行了昼夜观测,观测资料显示,西安地区各月份土壤CO2释放量在一昼夜内具有明显的变化,从当日上午到次日上午,CO2释放量表现出由低变高再变低的规律,土壤CO2释放量变化与温度变化具有相同的特征,但释放量的变化具有滞后性,相对于温度的变化滞后4－6h左右,温度是决定土壤CO2释放量昼夜变化规律的主要因素,它的升高和降低分别造成了土壤CO2和放量的增加和减少,不同植被条件下,土壤CO2释放量不同,林地释放量大于草地,草地释放量大于裸地,夜间12h释放量大于白天12h释放量。     

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.     

养猪场废水中SS与COD浓度的相关性分析

通过取样检测、实验分析,论证了养猪场废水中固体悬浮物(SS)含量与化学需氧量(COD)浓度的相关关系,讨论了SS对COD的影响趋势。结果表明,通过测定SS的含量,可以快速确定二沉池出水的COD浓度。     

混凝土结构可靠度的Monte Carlo模拟

简介了靠度与安全系数的区别；以混凝土结构为例，介绍了用Monte Carlo模拟来计算结构可靠度的方法。     

Indirect effect of nutrient accumulation intensified toxicity risk of metals in sediments from urban river network

The levels of metals in sediments of urban river ecosystems are crucial for aquatic environmental health and pollution assessment. Yet little is known about the interaction of nutrients with metals for environmental risks under contamination accumulation. Here, we combined hierarchical cluster, correlation, and principal component analysis with structural equation model (SEM) to investigate the pollution level, source, toxicity risk, and interaction associated with metals and nutrients in the sediments of a river network in a city area of East China. The results showed that the pollution associated with metals in sediments was rated as moderate degree of contamination load and medium-high toxicity risk in the middle and downstream of urban rivers based on contamination factor, pollution load index, and environmental toxicity quotient. The concentration of mercury (Hg) and zinc (Zn) showed a significant correlation with toxic risks, which had more contribution to toxicity than other metals in the study area. Organic nitrogen and organic pollution index showed heavily polluted sediments in south of the study area. Though correlation analysis indicated that nutrients and metals had different input zones from anthropogenic sources in the urban river network, SEM suggested that nutrient accumulation indirectly intensified toxicity risk of metals by 13.6% in sediments. Therefore, we suggested the combined consideration of metal toxicity risk with nutrient accumulation, which may provide a comprehensive understanding to identify sediment pollution.

Toxicity rate of metals in sediments from urban river network indirectly intensified by nutrients accumulation