《环境监测管理与技术》载文与引文分析

为了展示环境监测专业论文的学术水平，应用文献计量学理论对《环境监测管理与技术》杂志１９９４￣１９９５年载文进行统计分析，结果表明，该刊既注重学术性又注重实用性，具有高度的专业性，载文引文主要来自期刊，说明期刊具有内容新、信息量大、传递速度快，是环境监测技术研究的主要情报来源。引文分析也反映出环境监测专业吸收国外情报的能力与其它专业相比还有一定差距，也表明我国环境监测技术水平与世界水平仍有一定差距。     

《中国环境监测》2011年度优秀论文评选结果

为鼓励环境科技工作者撰写高水平的科技论文,提高《中国环境监测》期刊质量,进一步推动环境监测转型发展,《中国环境监测》编辑部组织了首届优秀论文评选活动,并于2012年5月4日圆满结束。2011年《中国环境监测》出版发行6期正刊和1期增刊,刊登论文154篇。编辑部初选29篇论文参加优秀论文的评审。中国环境监测总站于2012年5月4日在南通市组织召开2011年度优秀论文评审会。评审专家依据优秀论文评分标准,从创新性、     

《中国环境监测》2011年度优秀论文评选结果

为鼓励环境科技工作者撰写高水平的科技论文,提高《中国环境监测》期刊质量,进一步推动环境监测转型发展,《中国环境监测》编辑部组织了首届优秀论文评选活动,并于2012年5月4日圆满结束。2011年《中国环境监测》出版发行6期正刊和1期增刊,刊登论文154篇。编辑部初选29篇论文参加优秀论文的评审。中国环境监测总站于2012年5月4日在南通市组织召开2011年度优秀论文评审会。评审专家依据优秀论文评分标准,从创新性、学术水平、写作质量和论文影响力     

《中国环境监测》2014年度优秀论文评选结果

<正>2015年3月11日,《中国环境监测》2014年度优秀论文评审会在重庆市召开。共20篇论文获评《中国环境监测》2014年度优秀论文。此次评审会采取评审专家、责任编辑和普通读者共同评分、综合审议的形式,依据优秀论文评分标准,从创新性、学术水平、写作质量和论文影响力4个方面,对2014年《中国环境监测》刊发的209篇论文进行综合评议,最终评出20篇     

《中国环境监测》2014年度优秀论文评选结果

<正>2015年3月11日,《中国环境监测》2014年度优秀论文评审会在重庆市召开。共20篇论文获评《中国环境监测》2014年度优秀论文。此次评审会采取评审专家、责任编辑和普通读者共同评分、综合审议的形式,依据优秀论文评分标准,从创新性、学术水平、写作质量和论文影响力4个方面,对2014年《中国环境监测》刊发的209篇论文进行综合评议,最终评出20篇     

环境标准物质

介绍了环境标准物质在环境监测技术过程中的意义、分类、种类及技术进展动态，引述文献１７篇．     

《中国环境监测》2014年度优秀论文评选结果

<正>2015年3月11日,《中国环境监测》2014年度优秀论文评审会在重庆市召开。共20篇论文获评《中国环境监测》2014年度优秀论文。此次评审会采取评审专家、责任编辑和普通读者共同评分、综合审议的形式,依据优秀论文评分标准,从创新性、学术水平、写作质量和论文影响力4个方面,对2014年《中国环境监测》刊发的209篇论文进行综合评议,最终评出20篇     

“全国环境监测技术交流会”在京召开

“全国环境监测技术交流会”在京召开国家环境监测网于１９９４年１１月２８日至１２月１日在京召开了全国环境监测技术交流会。会议交流技术论文和报告７０多篇。展示监测分析仪器约２０种．参加会议的单位有省、直辖市监测中心站（１３个）、市监测中心站（１０个）、行...     

《中国环境监测》2020年度优秀论文评审结果

为进一步提高期刊学术水平和质量,激励环境监测科研人员撰写高水平科技论文,更好地推进生态环境监测事业的健康发展,《中国环境监测》编辑部于2021年9月24日在成都组织开展了2020年度优秀论文评选活动。2020年,《中国环境监测》共刊登论文128篇。依据《〈中国环境监测〉年度优秀论文评选办法(试行)》,经编辑部初筛推荐、专家分组评审及综合评议,最终评选出10篇2020年度优秀论文。经公示,现予以公布(名单详见表1)。     

《中国环境监测》2020年度优秀论文评审结果

正为进一步提高期刊学术水平和质量,激励环境监测科研人员撰写高水平科技论文,更好地推进生态环境监测事业的健康发展,《中国环境监测》编辑部于2021年9月24日在成都组织开展了2020年度优秀论文评选活动。2020年,《中国环境监测》共刊登论文128篇。依据《〈中国环境监测〉年度优秀论文评选办法(试行)》,经编辑部初筛推荐、专家分组评审及综合评议,最终评选出10篇2020年度优秀论文。经公示,现予以公布(名单详见表1)。     

深度学习在裸地扬尘源监测中的应用研究

裸地是扬尘的重要来源,施工建设过程中形成的裸地极易在大风天气作用下造成扬尘污染。因此,快速、有效地定位裸地位置,并确认其管控措施落实情况,对于开展裸地扬尘源监管具有重要意义。基于高分辨率遥感监测数据,结合人工解译裸地扬尘源数据集,以北京市大兴区为例,利用深度学习方法对裸地和防尘网覆盖裸地进行分类识别。同时,利用颜色匹配法对大兴区防尘网覆盖裸地进行识别,横向评估深度学习方法的识别精度。结果显示：深度学习方法对防尘网覆盖裸地的识别精度达97%,对裸地的识别精度达61%;颜色匹配法对防尘网覆盖裸地的识别精度达85%。防尘网覆盖裸地的颜色特征鲜明,深度学习方法和颜色匹配法对防尘网覆盖裸地的识别精度都在85%以上。深度学习方法对于面积大于2 000 m²的图斑有着较好的识别精度。深度学习方法可以提高裸地遥感解译的效率,实现规范化图像识别,可以作为人工判读的辅助手段。在实际应用中,可通过进一步积累样本来增强模型性能。深度学习方法适用于裸地扬尘源线索快速发现、工地防尘网措施落实情况快速检测等场景。     

北京某垃圾填埋区空气细菌浓度及粒径分布特征

以北京市某垃圾填埋区中作业区和覆盖区的空气细菌为主要研究对象,研究四个季节空气细菌浓度及粒径分布特征,得出了以下结论:垃圾填埋区作业区空气细菌浓度四季变化特征较覆盖区显著,且空气细菌浓度高于覆盖区。垃圾填埋区作业区和覆盖区四季的空气细菌粒子主要分布在前4级中,且在第Ⅵ级(<1.0μm)中分布比例最小,但分布规律不完全相同。秋季作业区最易感染人体的空气细菌浓度最高。垃圾填埋区作业区和覆盖区空气细菌中值直径最小值均出现在夏季,最大值均出现在冬季。     

SEA screening of voluntary climate change plans: A story of non-compliant discretion

Screening within Strategic Environmental Assessment (SEA) is the first critical stage involving considerations on whether an assessment is carried out or not. Although legislation and guidance offer practitioners a legal and logical approach to the screening process, it is inevitable that discretionary judgement takes place and will impact on the screening decision. This article examines the results of discretion involved in screening of climate change plans (CCPs) in a Danish context. These years voluntary CCPs are developed as a response to the global and local emergence of both mitigation and adaptation, and the voluntary commitment by the local authorities is an indication of an emerging norm of climate change as an important issue.This article takes its point of departure in the observation that SEA is not undertaken for these voluntary CCPs. The critical analysis of this phenomenon rests upon a documentary study of Danish CCPs, interviews with a lawyer and ministerial key person and informal discussions between researchers, practitioners and lawyers on whether climate change plans are covered by SEA legislation and underlying reasons for the present practice.Based on a critical analysis of mandatory SEA and/or obligation to screen CCPs according to significance criteria, the authors find that 18 out of the 48 CCPs are mandatory to SEA and 9 would require a screening of significance and thereby potentially be followed by a SEA. In practice only one plan was screened and one was environmentally assessed. The legal, democratic and environmental consequences of this SEA practice are critically discussed. Hereunder is the missed opportunity to use the broad environmental scope of SEA to avoid a narrow focus on energy and CO₂ in CCPs, and the question whether this practice in Denmark complies with the EU Directive.     

EcoEffect for outdoor environments; the process of tool development

Numerous evaluation tools for the built environment have been developed in recent decades only some however integrate the outdoor environment. In EcoEffect, a Swedish assessment system, the outdoor environment is one of five areas covered. The purpose of this article is to describe and discuss various issues that evolved during the testing and developing phase of the EcoEffect Outdoor tool. The tool is designed to cover all important health risks to people in an outdoor environment, to show the relationship between circumstances in the outdoor environment and the levels specified in Swedish legislation and to enable a speedy and accurate assessment of the outdoor environment on a property. The work has been carried out in cooperation with experts, residents and representatives of the construction and property sectors. The tool has been tested on existing properties, discussed in focus groups, and has been subject to theoretical development. The results have provided a basis for changing both the EcoEffect Outdoors tool and the framework of the EcoEffect system. Important conclusions here include the notion that a clear account should be given of the fundamental values of the tool, that environmental impact should be reported in the same way throughout the whole assessment process and that the tool has to adhere to both scientific and practical validity to be useful for the building sector.     

Optimization models for siting water quality monitoring stations in a catchment

A water quality monitoring network (WQMN) must be designed so as to adequately protect the water quality in a catchment. Although a simulated annealing (SA) method was previously applied to design a WQMN, the SA method cannot ensure the solution it obtained is the global optimum. Therefore, two new linear optimization models are proposed in this study to minimize the deviation of the cost values expected to identify the possible pollution sources based on uniform cost (UC) and coverage elimination uniform cost (CEUC) schemes. The UC model determines the expected cost values by considering each sub-catchment being covered by which station, while the CEUC model determines the coverage of each station by eliminating the area covered by any upstream station. The proposed models are applied to the Derchi reservoir catchment in Taiwan. Results show that the global optimal WQMN can be effectively determined by using the UC or CEUC model, for which both results are better than those from the SA method, especially when the number of stations becomes large.     

Analysis of the Threshold and Expected Coverage Approaches to the Probabilistic Reserve Site Selection Problem

Two approaches to formulating the reserve site selection problem when species occurrence data is probabilistic were solved for terrestrial vertebrates in a small set of potential reserve sites in Oregon. The expected coverage approach, which maximizes the sum of the occurrence probabilities, yielded solutions that covered more species on average in Monte Carlo simulations than the threshold approach, which maximizes the number of species for which the occurrence probability exceeds some threshold.     

遥感影像反演区域能见度及其与地面空气质量监测数据一致性研究

简述了基于"暗"像元和波段反射率比值关系的遥感反演区域能见度的原理和算法流程,以2010年获取的11景WRS 119/038幅江苏省太湖流域Landsat-7 ETM影像为数据源,在FLAASH大气校正软件中,开展了基于卫星遥感影像的区域能见度信息提取试验,并与30个地面空气自动监测站的PM10和1个能见度自动监测站数...     

Trace Element Analyses in an Epiphytic Lichen and its Bark Substrate to Assess Suitability for Air Biomonitoring

Total concentrations of Cd, Cr, Fe, Ni, Pb and Zn were compared from October 1996 to April 1998 in Physcia biziana (Massal.) Zhalbr. v. leptophylla Vezda and in the bark of Quercus ilex L. sampled from the same trees at an urban park. Trace metal concentrations were also measured in the bark covered by the lichen thalli. The lichens showed significantly higher Cr, Fe, Ni and Zn concentrations than both uncovered and covered barks. By contrast, both types of barks had higher concentrations of Cd and Pb than lichens. Trace elements showed a wide temporal variation of concentrations both in the lichens and barks. No relationship was found between the analysed matrices as regards the time course of trace element concentrations.     

电磁辐射环境信访分析与应对措施探讨

以南通市辐射环境信访调处为例,对该市近年来电磁辐射信访投诉量及其变化,投诉对象、方式、诉求等进行分析,并结合调处经验,提出上门实测、合法性核查、组织协调等应对措施,以及完善执行机制,优化评价技术;加强辐射环境监管;保障公众参与权、知情权和监督权;正确引导公众舆论等解决辐射环境信访问题的建议。     

Exploring the relationship between vegetation spectra and eco-geo-environmental conditions in karst region, Southwest China

Remote sensing of local environmental conditions is not accessible if substrates are covered with vegetation. This study explored the relationship between vegetation spectra and karst eco-geo-environmental conditions. Hyperspectral remote sensing techniques showed that there were significant differences between spectral features of vegetation mainly distributed in karst and non-karst regions, and combination of 1,300- to 2,500-nm reflectance and 400- to 680-nm first-derivative spectra could delineate karst and non-karst vegetation groups. Canonical correspondence analysis (CCA) successfully assessed to what extent the variation of vegetation spectral features can be explained by associated eco-geo-environmental variables, and it was found that soil moisture and calcium carbonate contents had the most significant effects on vegetation spectral features in karst region. Our study indicates that vegetation spectra is tightly linked to eco-geo-environmental conditions and CCA is an effective means of studying the relationship between vegetation spectral features and eco-geo-environmental variables. Employing a combination of spectral and spatial analysis, it is anticipated that hyperspectral imagery can be used in interpreting or mapping eco-geo-environmental conditions covered with vegetation in karst region.