环境污染事故应急监测装备的配置思路

分析了应急监测装备的配置形势,提出了应急监测装备的配置思想和配置原则,剖析了配置的关键点在于实现快速响应功能,准确、快速监测数据获取功能,快速解析、准确判断污染趋势功能,图像和声讯实时双向传输功能,以及安全保障和防护功能.     

基于数据物流服务思想的流域水环境监测数据交换与集成技术

提出了面向流域水生态监控预警的水环境信息完整性管理理念,分析了多源、多手段采集的流域水环境监测数据的交换与集成技术需求,重点针对中国环境监测部门流域监测断面管理存在的不足,提出了目录管理架构.基于数据物流服务思想,利用微软BizTalk平台和XML技术设计了支持多源水环境数据接人、可灵活配置并监控的水监测数据交换平台原...     

A remote sensing tool for near real-time monitoring of harmful algal blooms and turbidity in reservoirs

Harmful algal blooms (HABs) diminish the utility of reservoirs for drinking water supply, irrigation, recreation, and ecosystem service provision. HABs decrease water quality and are a significant health concern in surface water bodies. Near real-time monitoring of HABs in reservoirs and small water bodies is essential to understand the dynamics of turbidity and HAB formation. This study uses satellite imagery to remotely sense chlorophyll-a concentrations (chl-a), phycocyanin concentrations, and turbidity in two reservoirs, the Grand Lake O′ the Cherokees and Hudson Reservoir, OK, USA, to develop a tool for near real-time monitoring of HABs. Landsat-8 and Sentinel-2 imagery from 2013 to 2017 and from 2015 to 2020 were used to train and test three different models that include multiple regression, support vector regression (SVR), and random forest regression (RFR). Performance was assessed by comparing the three models to estimate chl-a, phycocyanin, and turbidity. The results showed that RFR achieved the best performance, with R² values of 0.75, 0.82, and 0.79 for chl-a, turbidity, and phycocyanin, while multiple regression had R² values of 0.29, 0.51, and 0.46 and SVR had R² values of 0.58, 0.62, and 0.61 on the testing datasets, respectively. This paper examines the potential of the developed open-source satellite remote sensing tool for monitoring reservoirs in Oklahoma to assess spatial and temporal variations in surface water quality.     

建立省级环境与健康调查及风险评估体系研究思路——以江苏省探索实践为例

以环境与健康调查及风险评估研究为出发点,江苏省于2018年设立了"江苏省环境与健康调查与风险评估体系建设"环保科研重大技术攻关类项目,根据江苏省行业、地区、流域特点以及江苏省环境与健康调查及风险评估工作基础,结合国内环境与健康研究现状,深入开展典型行业、地区、流域环境与健康调查、环境与健康问题分析、环境健康风险评价,建设环境与健康重点实验室,探索并实践环境与健康理念融入环境保护管理的研究任务,为全面开展环境与健康监测业务化运行以及环境健康风险评估进行技术实践和储备,为江苏省环境与健康管理工作提供支撑。     

基于生物导向的水生态健康监测及评估概述

环境监测是水生态健康监测与评估的重要环节,基于物理、化学监测的传统水质监测通常仅能提供独立的数据信息,不能全面、直观地反映水环境状况。基于生物等生命体导向的水生态监测通过生物对环境的响应,能够直接反应复杂水体状况,在水环境健康监测与评估中占据重要地位。基于病原微生物、指示生物介绍了生物监测中的常规生物指标,总结了包括藻类、无脊椎动物和鱼类在内的常见指示生物在不同类型污染水体中的环境指示作用。从生物毒性效应出发介绍了常用的毒性效应测试方法、分析了污染物在不同生物学水平的响应,从而指明生物毒性效应在水环境健康评估中的发展优势。再从生态完整性角度阐述了生态完整性评价的一般方法和新兴分子生物学技术在水生态健康评估中的应用。重点指出环境毒理学和分子生物学在水环境监测的优势,以期为更加科学精确地进行水生态健康监测预警提供支撑。     

地下水DNAPLs污染的研究进展

地下水有机污染特别是DNAPLs污染是当前国际上地下水污染控制的热点问题。本文综述了DNAPLs的监测技术、DNAPL在含水层的迁移及DNAPb污染场地修复技术的研究进展。     

水质自动监测系统的质量控制和质量保证

本文针对水质自动站的质量控制和质量保证的要求,并依据国家老口水质自动站的工作提出一些看法和观点。     

Towards a long-term integrated monitoring programme in Europe: network design in theory and practice

Long-term integrated monitoring is an important approach forinvestigating, detecting and predicing the effects ofenvironmental changes. Currently, European freshwaters,glaciers, forests and other narural and semi-natural ecosystemsand habitats are monitored by a number of networks establishedby different organisations. However, many monitoring programmeshave a narrow focus (e.g. targeting individual ecosystems) andmost have different measurement protocols and sampling design.This has resulted in poor integration of ecosystem monitoring ata European level, leading to some overlapping of efforts and alack of harmonised data to inform policy decisions. The need fora consistent pan-European long-term integrated monitoring ofterrestrial systems programme is recognised in the scientificcommunity. However, the design of such a system can be problematic, not least because of the constraints imposed bythe need to make maximum use of existing sites and networks.Based on the outcomes of the NoLIMITS project (Networking ofLong-term Integrated Monitoring in Terrestrial Systems), thisarticle reviews issues that should be addressed in designing aprogramme based on existing monitoring sites and networks. Fourmajor design issues are considered: (i) users' requirements,(ii) the need to address multiple objectives, (iii) role ofexisting sites and (iv) operational aspects.     

光纤传感器FBG和BOTDR应用于结构监测的若干比较研究

对建筑结构进行健康监测,可以防止和避免灾害的发生。传感器的选择和使用是进行结构监测时首先要考虑的问题。光纤传感器是一种新型的传感器,因种类不同在性能方面也相差较大。FBG(FiberBraggGating,光纤Bragg光栅)和BOTDR(BrillouinOpticalTimeDomainReflectometry,布里渊光时域反射计)是近些年来发展比较快的光纤传感器,本文介绍了这两种光纤传感器,并着重从两者传感的基本原理、传感系统组成、温度补偿研究和性能优劣等方面进行了详细的比较,得出了各自作为结构监测传感器的优缺点,为今后的监测选用提供了依据,使应用两者时能够做到扬长避短。     

A strategy for the next decade to address data deficiency in neglected biodiversity

Measuring progress toward international biodiversity targets requires robust information on the conservation status of species, which the International Union for Conservation of Nature (IUCN) Red List of Threatened Species provides. However, data and capacity are lacking for most hyperdiverse groups, such as invertebrates, plants, and fungi, particularly in megadiverse or high-endemism regions. Conservation policies and biodiversity strategies aimed at halting biodiversity loss by 2020 need to be adapted to tackle these information shortfalls after 2020. We devised an 8-point strategy to close existing data gaps by reviving explorative field research on the distribution, abundance, and ecology of species; linking taxonomic research more closely with conservation; improving global biodiversity databases by making the submission of spatially explicit data mandatory for scientific publications; developing a global spatial database on threats to biodiversity to facilitate IUCN Red List assessments; automating preassessments by integrating distribution data and spatial threat data; building capacity in taxonomy, ecology, and biodiversity monitoring in countries with high species richness or endemism; creating species monitoring programs for lesser-known taxa; and developing sufficient funding mechanisms to reduce reliance on voluntary efforts. Implementing these strategies in the post-2020 biodiversity framework will help to overcome the lack of capacity and data regarding the conservation status of biodiversity. This will require a collaborative effort among scientists, policy makers, and conservation practitioners.