PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants using GDAL/OGR library in Python

• PyLUR comprises four modules for developing and applying a LUR model. • It considers both conventional and novel potential predictor variables. • GDAL/OGR libraries are used to do spatial analysis in the modeling and prediction. • Developed on Python platform, PyLUR is rather efficient in data processing. Land use regression (LUR) models have been widely used in air pollution modeling. This regression-based approach estimates the ambient pollutant concentrations at un-sampled points of interest by considering the relationship between ambient concentrations and several predictor variables selected from the surrounding environment. Although conceptually quite simple, its successful implementation requires detailed knowledge of the area, expertise in GIS, statistics, and programming skills, which makes this modeling approach relatively inaccessible to novice users. In this contribution, we present a LUR modeling and pollution-mapping software named PyLUR. It uses GDAL/OGR libraries based on the Python platform and can build a LUR model and generate pollutant concentration maps efficiently. This self-developed software comprises four modules: a potential predictor variable generation module, a regression modeling module, a model validation module, and a prediction and mapping module. The performance of the newly developed PyLUR is compared to an existing LUR modeling software called RLUR (with similar functions implemented on R language platform) in terms of model accuracy, processing efficiency and software stability. The results show that PyLUR out-performs RLUR for modeling in the Bradford and Auckland case studies examined. Furthermore, PyLUR is much more efficient in data processing and it has a capability to handle detailed GIS input data.     

陕西省排污许可证后监管模式探索

陕西省进行了排污许可证后审计式合规核查、执法试点工作及案例研究,初步建立了审计式合规管理制度框架。在企业守法方面,以排污许可制精细化管理为目标,加强对排污单位环境管理制度建设工作的帮扶、监督、检查,建立全员参与的环境管理制度模式,落实企业守法主体责任。在政府监管方面,以执法计划为关键手段,建立非现场审计式核查和现场审计式执法检查的工作机制和工作程序,促使企业守法。     

国内外VOCs排放管理控制历程

介绍了挥发性有机污染物(VOCs)的定义、来源和危害,回顾了国内外VOCs监测技术、观测浓度、排放标准及规范,概括了欧美等发达国家宏观层面上的VOCs排放管理控制战略、经验及效果.建议我国建立VOCs在线监测网络,开展VOCs排放清单计算工作,进一步加强机动车尾气排放VOCs控制,初步制定宏观层面的VOCs总体控制战略...     

Effects of warm water inflows on the dispersion of pollutants in small reservoirs

The effects of the warm water discharged by a nuclear power plant (NPP) into a small reservoir are studied. A case study is presented (José Cabrera NPP-Zorita Hidráulica Reservoir) with experimental data of the reservoir stratification and predicted data of the dispersion of radioactive pollutants from operative or accidental releases. The vertical and longitudinal temperature profiles, electrical conductivity and transparency of the reservoir water were measured for an annual cycle. The results indicate that the continuous warm water discharge from the NPP causes permanent and artificial reservoir stratification. The stratification is significant within 1500 m upstream and 1000 m downstream from the warm water outfall. The pollutant dispersion has been predicted by using a flow model based on N(T) perfect-mixing compartments in series with feedback. The model parameter, N(T), is calculated from the longitudinal diffusion coefficient. The prediction of pollutant dispersion by means of this model shows that the stratification slows down the vertical mixing in the whole water body, and reduces the reservoir volume that is effective for the dilution and dispersion of pollutants. This means that, in the case of a radioactive pollutant release, the reservoir radioactivity level could increase significantly.     

固相微萃取技术及其在环境监测中的应用

介绍了90年代初推出的一种新的样品前处理技术－固相微萃取技术。它与传统的萃取法相比具有分析周期短、简捷、灵敏度高,无须使用溶剂,适于现场监测等优点,目前已成功地用于各基质样品如：土壤、水、大气中环境污染物的分析。文章还对其基本原理、固相涂层、操作模式展开了讨论。经分析认为该技术有着广阔的推广和应用前景。     

室内空气污染调查

为了解室内空气污染状况,广州市环境监测中心站对刚装修不久的10套私人居室和5家单位办公室的室内空气进行了监测。结果表明,甲醛、苯、NH3、NOx浓度超标,最高超标倍数分别为：甲醛22.0倍,苯3.01倍,NH3 2.58倍,NOx0.30倍。指出,这些污染物主要来源于装修材料和建筑材料,会对人体健康造成危害。提出,为防止室内空气污染,应从源头抓起,装修时尽量选用低毒或无毒的材料,装修后的居室或办公室要保持通风,以降低室内污染物浓度,进驻前请有关权威部门进行监测评估。另外可在室内摆放绿色植物,以吸附一些有毒化合物。     

上海市汽车更新淘汰减排效果初步评估

选取2009年6月—2010年1月上海市汽车动态数据,讨论汽车污染物排放状况,分析汽车更新淘汰对大气环境的排放贡献影响。结果表明,上海市现行老旧车辆更新淘汰政策可以减少CO、HC、NOx、PM等污染物排放量43 565 t/a。鼓励老旧汽车淘汰更新政策对推进减排工作、改善城市大气环境有重要意义。     

江苏省国家重点监控企业不达标原因及对策

统计了2014年以来江苏省国控企业不达标情况。从企业和环境保护部门两方面对国控企业不达标原因进行了分析。指出,企业应承担起污染治理的主体责任,健全企业环境保护制度;加强污染治理技术的研发及提高运维管理队伍的专业化水平,以适应新环保法的要求;环境监管部门强化执法宣传及违法行为的查处力度,让企业主动守法;加强国控企业环境信息的公开及宣传力度,形成良好的社会公众监督氛围;省级人民政府应积极落实国家生态文明建设的总规划,开启新的里程碑。     

基于MOVES的西安市出租车污染物排放分析

利用MOVES模型对2012年西安市出租车油改气后污染物排放因子进行模拟,得出污染物CO、NOx、PM2.5、PM10、HC的排放因子分别为3.488 1 g/km、0.370 0 g/km、0.004 7 g/km、0.005 1 g/km、0.095 2 g/km,计算得到5种污染物的年排放总量分别为4 830.76 t、512.42 t、6.51 t、7.06 t、131.85 t。将得到的数据与2010年相关数据比对,说明出租车油改气后污染物排放量在机动车总排放量中所占比例有所下降。     

Transport and dynamics of toxic pollutants in the natural environment and their effect on human health: research gaps and challenge

The source–pathway–receptor (SPR) approach to human exposure and risk assessment contains considerable uncertainty when using the refined modelling approaches to pollutant transport and dispersal, not least in how compounds of concern might be prioritised, proxy or indicator substances identified and the basic environmental and toxicological data collected. The impact of external environmental variables, urban systems and lifestyle is still poorly understood. This determines exposure of individuals and there are a number of methods being developed to provide more reliable spatial assessments. Within the human body, the dynamics of pollutants and effects on target organs from diffuse, transient sources of exposure sets ambitious challenges for traditional risk assessment approaches. Considerable potential exists in the application of, e.g. physiologically based pharmacokinetic (PBPK) models. The reduction in uncertainties associated with the effects of contaminants on humans, transport and dynamics influencing exposure, implications of adult versus child exposure and lifestyle and the development of realistic toxicological and exposure data are all highlighted as urgent research needs. The potential to integrate environmental with toxicological models provides the next phase of research opportunity and should be used to drive empirical and model assessments.