土壤环境样品库建设及样品信息数据库管理

土壤样品携载丰富的环境特征信息,对于掌握不同历史阶段土壤环境状况及变化趋势有着不可替代的作用。环境保护部国家土壤环境样品库于2010年建成,是中国环境保护重要基础设施,具有储存专业化、管理集中化、信息系统化、质控标准化等特点,创新性地集合了土壤样品保存和应用的现代技术,已成为中国最大的土壤环境资源和信息平台。通过开展国家土壤样品库建设和样品信息数据库管理研究,集成国家土壤样品库建设技术和土壤样品数据库信息管理成果,为各地建立省级土壤样品库提供借鉴,对于规范和指导全国土壤环境样品库建设和样品保存、数据库信息管理和应用等具有重要意义。     

环境监测实验室样品智能物流管理系统的设计研究

环境监测实验室样品管理是质量管理的重要环节,样品管理的智能化、信息化将大幅提升实验室的管理水平。通过分析当前监测实验室样品管理现状和不足,借鉴相关行业样品智能物流管理系统应用经验,结合江苏省环境监测中心新建的监测实验大楼,开展环境监测样品智能物流管理系统设计研究。提出,考虑环境监测样品接收、任务分配、样品交接、样品留存各个环节,以样品属性为基准进行样品管理系统设计;同时,结合物联网集成管控、气动传输和机器人输送技术,构建包含分布式存储工作站和密集型土壤样品库的样品智能物流管理系统,实现高效、智能、规范的样品管理目标。     

土壤环境监测中现场采集和实验室分析质量控制浅析

我国目前土壤污染问题非常严峻,土壤环境监测是保护土壤环境工作中重要的一环,对有效保护土壤环境尤为重要,是客观评估土壤保护工作的重要依据,也是制定土壤保护方案和指导土壤保护策略的重要参考。土壤环境质量监测工作包含一套科学的流程,文章对土壤环境质量监测过程中的现场样品采集、样品保存、样品流转和实验室分析环节的质量控制问题进行深入研究,为更好地开展土壤环境质量监测工作提供参考。     

土壤、河流沉积物环境样品库建设

中国环境监测总站建成了我国第一个环境土壤和长江水系、松花江水系以及珠江流域北江水系河流沉积物环境样品库.已入库的环境土壤样品14905件;沉积物样品404件.代表中国(除台湾外)所有地区土壤类型(表1).     

关于土壤样品规范化管理的探讨

在土壤污染状况调查中,如何规范土壤样品制备(样品风干、研磨过筛、样品分装等)、土壤样品保存和管理等程序,对已经取得的大量的调查数据信息怎样进行有效的管理和利用,实现对数据和相关资料的快速查询,对确保土壤污染状况调查的数据有效性和成果可靠性,顺利完成土壤污染状况调查有重要意义[1-5].     

新疆土壤污染状况调查工作取得积极进展

按照《全国土壤污染现状调查及污染防治专项工作实施方案》和《新疆土壤污染状况调查方案》的统一安排，在各级环保部门的共同努力下，新疆土壤污染状况调查工作取得积极进展，圆满完成2008年度土壤污染状况调查工作，获取普查点位土壤样品487个、农产品样品83个，产生数据约13万个，并同步建设了省级土壤样品库。     

环境监测从业人员资质信息化管理研究

以环境监测人员上岗证考核管理工作为基础,分析了环境监测人员资质信息化管理需求,从监测人员基本信息管理、理论考试管理、操作考核管理和上岗证资质管理4个方面开展了信息化管理研究与建设,重点研究了题库智能管理、考场智能安排、发证项目统一分类编码以及操作考核信息化管理等关键技术。环境监测从业人员资质信息化管理系统的有效运行,为统一考核尺度,规范考核操作流程,提高环境监测质量管理水平提供技术支撑。     

全自动淋洗-智能蒸馏联合技术检测土壤中阳离子交换量

针对土壤中阳离子交换量检测国标方法的不足,介绍了一种全自动淋洗法结合自动智能一体化蒸馏的联合技术。通过对实际样品和6种土壤标样的比较实验,表明,淋洗时间设置为20 min、乙醇洗涤次数设置为4次、蒸馏液质量设置为130 g较佳,在该条件下,土壤标样及实际样品的相对标准偏差(0.87%~1.07%)远小于行业标准方法的标准偏差(3.87%~5.18%),方法准确度也均在保证值范围内。该方法自动化程度高、可操作性强且检测结果的准确度、精密度及重现性都符合标准规定,可满足大批量土壤样品分析要求。     

基于5G与AI的生态环境监测网络平台探讨

分析了我国生态环境监测网络建设现状、存在问题与需求,提出了基于5G与人工智能（AI）的“天地一体化”生态环境监测网络架构。该架构借助边缘计算、5G高速网络、AI视频检测识别和污染物浓度预测等关键技术,使平台具备智能感知、实时监控和智能预测的能力,为实现重要生态环境信息的全天候、智能化远程自动监测和预警提供了解决方案。     

能量色散X射线荧光光谱法测定土壤和沉积物中稀土元素

建立了偏振能量色散X射线荧光光谱法测定土壤和沉积物中稀土元素的方法,该方法较传统的方法具有前处理简单、测量自动化程度高、灵敏度高和检出限低(检出限范围为0.05~2.80 mg/kg)等优点。对土壤和沉积物标准物质的测定结果表明:测定结果与认定值能较好吻合,相对标准偏差范围为0.2%~9.4%,能满足测试的需求。分别用该方法和电感耦合等离子体质谱法对实际样品进行测定,2种方法的测定结果有较好的一致性,表明该方法测定结果准确可靠,可用于实际样品的测定。     

海南省省控土壤环境监测基础点位布设思路与方法

为满足新时期土壤污染防治管理要求，掌握海南省土壤环境质量状况及变化趋势，海南省亟需加强省控土壤环境监测基础点位布设，完善土壤环境监测网。通过梳理海南省土壤环境监测工作基础和监测网络构建情况，形成了省控基础点位布设思路、原则和方法，并应用GIS技术完成点位布设。海南省省控土壤环境监测基础点位基本覆盖了海南省农用地主要土壤类型和成土母岩，监测结果可以反映海南省农用地土壤环境质量整体状况。     

重庆市生态环境智慧监测管理体系研究

以重庆市为例，从生态环境监测管理需求出发，分析了智慧监测的现状与存在的问题，提出了构建生态环境智慧监测管理体系的技术路线。以监测业务为核心，涵盖水、气、声、态、土等多种要素，构建了要素齐全、上下统筹、自动预警、服务应用的生态环境监测网络，实现了环境质量、污染源和生态状况监测全覆盖，预期取得规范监测业务流程、促进监测业务协同、加快产学研用结合等成效。     

Impact of PAH on biological health parameters of soils of an Indian refinery and adjoining agricultural area—a case study

The present study is aimed at analysing and comparing different soil enzymes in soil samples of native contaminated sites of a Mathura refinery and adjoining agricultural land. Enzyme activities are considered as indicators of soil quality and changes in biogeochemical function due to management or perturbations. Soil samples were collected from the premises and nearby area of Mathura refinery, India. Biological health parameters (dehydrogenase, aryl esterase, aryl sulphatase, \upbeta \upbeta -glucosidase, alkaline phosphatase, acid phosphatase, lipase, laccase and catalase activity) were estimated in the soil samples. Among all the samples, sewage sludge soil showed maximum activity of enzymes, microbial biomass carbon and most probable number of polycyclic aromatic hydrocarbon (PAH) degraders in soils spiked with three- to four-ring PAHs at 50 ppm. Available phosphorus, potassium and nitrogen was also exceptionally high in this sample, indicating maximum microbial bioconversion due to presence of nutrients stimulating potent PAH-degrading microorganisms.     

Characterization of soil heavy metal contamination and potential health risk in metropolitan region of northern China

Soil in metropolitan region suffers great contamination risk due to the rapid urbanization especially in developing countries. Beijing and Tianjin, together with their surrounding regions, form a mega-metropolitan region in northern China. To assess the soil environmental quality, a total of 458 surface soil samples were collected from this area. Concentrations of Cr, Cu, Pb, Zn, As, Cd, and Hg were analyzed and compared to the Chinese environmental quality standards for soil. Multivariate analysis was carried out to identify the possible sources and Geographic Information Systems techniques were applied to visualize the spatial data. It was found that the primary inputs of As were due to pedogenic sources, whereas Hg was mainly of anthropogenic source. Other elements including Cr, Cu, Pb, Zn, and Cd were from both lithogenic and anthropogenic origins. Health risk assessment based on the maximum heavy metal concentration indicated that As derived from sewage irrigation area can result in carcinogenic lifetime risk due to ingestion and/or dermal contact of soil. The potential non-carcinogenic risk for children is significant for Pb and the cumulative effect of multiple metals is of concern for children in the vicinity of mining site. The results increased our knowledge for understanding natural and anthropogenic sources as well as health risk for metals in metropolitan soil.     

基于双指标多等级的土壤重金属生态风险评价

采用土壤中重金属的全量和有效态双重指标,建立基于多等级综合评估的土壤中重金属生态风险评价模型,将联合概率曲线法引入土壤评价模型,分析重金属暴露浓度与毒性数据的概率分布,考察重金属对土壤生物的毒害程度,从而确定土壤中重金属对于生态系统的风险。建立从简单到复杂的多等级综合评价方法,表征重金属的污染等级、浓度效应、多种重金属污染物的协同效应、不同重金属的毒性效应和土壤对不同重金属污染物的敏感性。选择典型地区采集有代表性的土壤样品,测定不同重金属的总量和有效态,验证评价模型的实用性和评价分级的合理性。旨在解决土壤重金属风险评价的方法学问题,为土壤环境质量管理提供支持。     

固定污染源监测体系发展回顾及"十四五"建议

党的十八大以来,特别是"十三五"时期我国固定污染源监测体系在管理制度、监测技术、信息平台、业务体系方面均取得了积极进展。但随着排污许可制度的全面实施,省以下环保机构监测监察执法垂改全面完成,减污降碳全面提级,我国固定污染源监测体系面临着专项制度不完善、自行监测数据质量监管压力大、基层执法监测高需求与低能力矛盾突出、减污降碳监测体系有待系统设计等突出问题。为了适应新形势下生态环境管理需求,建议:健全制度体系,研究制订《固定污染源监测管理办法》;完善技术体系和质控体系,加快快速、便携、智能化的污染源监测新技术体系及基于物联、信息技术的全流程、全链条质控体系的研究应用;优化业务体系,推动污染源执法监测与排污单位自行监测帮扶规范化和监测信息平台改造提升及应用。     

Assessing soil quality indicator under different land use and soil erosion using multivariate statistical techniques

Soil degradation associated with soil erosion and land use is a critical problem in Iran and there is little or insufficient scientific information in assessing soil quality indicator. In this study, factor analysis (FA) and discriminant analysis (DA) were used to identify the most sensitive indicators of soil quality for evaluating land use and soil erosion within the Hiv catchment in Iran and subsequently compare soil quality assessment using expert opinion based on soil surface factors (SSF) form of Bureau of Land Management (BLM) method. Therefore, 19 soil physical, chemical, and biochemical properties were measured from 56 different sampling sites covering three land use/soil erosion categories (rangeland/surface erosion, orchard/surface erosion, and rangeland/stream bank erosion). FA identified four factors that explained for 82 % of the variation in soil properties. Three factors showed significant differences among the three land use/soil erosion categories. The results indicated that based upon backward-mode DA, dehydrogenase, silt, and manganese allowed more than 80 % of the samples to be correctly assigned to their land use and erosional status. Canonical scores of discriminant functions were significantly correlated to the six soil surface indices derived of BLM method. Stepwise linear regression revealed that soil surface indices: soil movement, surface litter, pedestalling, and sum of SSF were also positively related to the dehydrogenase and silt. This suggests that dehydrogenase and silt are most sensitive to land use and soil erosion.     

云南省土壤环境质量分析系统设计与实现

土壤是人类赖以生存的基本要素之一,然而随着我国经济社会的发展,土壤环境污染日益严重,已威胁到各种陆生动植物的生态平衡。为落实环保部《关于加强土壤污染防治工作的意见》要求,2006年云南省土壤污染调查全面启动。系统运用Microsoft Visual Basic作为开发语言,SQL Server作为数据库,Arc GIS作为地图开发工具,来完成数据的导入和校验,统计、评价和对比的分析与查询,以及各类统计图表的自动生成。系统开发解决了庞大数据的管理与分析问题,对数据进行了生动的图表化表示并通过数据自动更新机制,简化了数据的管理工作,提高了《云南省土壤环境质量报告》的编制效率,对各级管理部门的决策工作具有较大的辅助意义。     

Nitrogen enrichment in runoff sediments as affected by soil texture in Beijing mountain area

Enrichment ratio (ER) is widely used in nonpoint source pollution models to estimate the nutrient loss associated with soil erosion. The objective of this study was to determine the ER of total nitrogen (ER_N) in the sediments eroded from the typical soils with varying soil textures in Beijing mountain area. Each of the four soils was packed into a 40 by 30 by 15 cm soil pan and received 40-min simulated rainfalls at the intensity of 90 mm h^?1 on five slopes. ER_N for most sediments were above unity, indicating the common occurrence of nitrogen enrichment accompanied with soil erosion in Beijing mountain area. Soil texture was not the only factor that influenced N enrichment in this experiment since the ER_N for the two fine-textured soils were not always lower. Soil properties such as soil structure might exert a more important influence in some circumstances. The selective erosion of clay particles was the main reason for N enrichment, as implied by the significant positive correlation between the ER of total nitrogen and clay fraction in eroded sediments. Significant regression equations between ER_N and sediment yield were obtained for two pairs of soils, which were artificially categorized by soil texture. The one for fine-textured soils had greater intercept and more negative slope. Thus, the initially higher ER_N would be lower than that for the other two soils with coarser texture once the sediment yield exceeded 629 kg ha^?1.