环保部要求近岸海域水质自动监测数据实时公布

正7月3日,环保部表示将向社会发布《中国近岸海域环境质量公报》及公开近岸海域国控监测站位水质监测信息。环保部要求,建有近岸海域水质自动监测系统的应当公布水质自动监测实时数据。环保部表示,将要发布的近岸海域环境监测信息包括,近岸海域海水水质监测信息,入     

邦达诚科技(北京)有限公司

<正>十年风雨,十年求索。邦达诚科技(北京)有限公司董事长徐虹在二十世纪末率先成功地将国外先进水质在线自动监测系统引入中国。在北京创建了我国第一套水质在线自动监测站,填补了国内环境监测领域在线自     

浅谈沱江泸州大磨子水质自动监测系统的改进

本文对沱江流域泸州大磨子水质自动监测系统运行初期的部分改进进行了分析与陈述，并根据对长江流域泸州沱江二桥水质自动监测站和泸州大磨子水质自动监测站的经验，总结出该系统部分改进前后的利与弊，希望能给岷、沱江流域各水质自动监测站的管理人员和仪器设备商提供借鉴。     

石化行业实验室信息管理系统构建及应用

以中国石油独山子石化公司环境监测中心LIMS(实验室信息管理系统)系统为例,针对石油石化行业环境监测实验室LIMS系统的特殊性,从LIMS系统的架构选择、LIMS产品平台选择、系统结构的实施规划设计、LIMS系统运行流程设计、LIMS系统组态实施和维护五个方面详细论述了石化环境监测LIMS系统的组态与实施过程和方法,并且根据成熟的实施工作经验给出了相应建议,以期对石化环境监测LIMS系统的组态与实施提供参考。     

关于排污费会计决算报表的几点想法

1991年1月1日起实行的《环境保护排污费预算会计制度》是由国家环保局会同财政部联合颁发的。这是环保工作上的一件大事。排污费会计报表是该制度的重要组成部分,它通过一系列的经济指标,系统、全面地反映资金流动的全貌。这个《制度》要求编报的报表共有九种。在学习和实际工作     

IS支持下水质模型的应用

地理信息系统（ＧＩＳ） 是集计算机科学、地球科学、信息科学为一体的高新技术。目前,ＧＩＳ技术已广泛用于资源管理、环境监测、环境评价、灾害评估、区域流域环境规划等众多领域,已成为国内外环境管理的有效决策支持工具。本文介绍了ＧＩＳ技术在金华江流域水污染控制决策方面的应用, 其中重点介绍了在ＧＩＳ支持下,金华江流域水污染决策模型（ 水质模型） 的建立、程序设计和实现     

YX-WQMS在左卫国控点水质自动监测站的应用

官厅水系左卫国控点水质自动监测站的YX-WQMS系统，由采水系统、配水系统、在线水质分析仪器、PLC控制和数据采集举统、数据处理和传输系统，监测站房和配套设备六个部分组成。表文重点介绍了该自动监测系统的关键技术和分析权的特点。     

双流县金马河饮用水源地水质自动监测系统介绍

为了及时、准确地掌握金马河水质状况,预警重大或流域性水质污染事件,确保饮用水水源地安全,双流县于2008年建立了县级饮用水源水质自动监测系统。本文详细介绍了水质自动监测系统的组成和特点,为其他水质自动系统的构建提供了有益的参考。     

环保产品检测机构名录

1.国家环境保护总局环境监测仪器质量监督检验中心 地址:北京市朝阳区安外大羊坊8号院2号楼南段四层 邮编:100012 电话:010-84933227 传真:010-84933223 检验项目: pH水质自动分析仪、化学需氧量(COD)水质在线自动监测仪、电导率水质自动分析仪、浊度水质自动分析仪、溶解氧(DO)水质自动分析仪、高锰酸盐指数水质自动分析仪、氨氮水质自动分析仪、总氮水质自动分析仪、总磷水质自动分析仪、总有机碳(TOC)水质自动分析仪、紫外吸收水质自动在线监测仪、PM10采样器、总悬浮颗粒物采样器、24小时恒温自动连续环境大气采样器、定电位电解法二氧化硫测定仪、烟气采样器、烟尘采样器、污染治理设施运行记录仪降雨自动采样器、降雨自动监测仪、固定污染源排放烟气连续监测系统.     

长庆气田甲醇污水水质特点分析

长庆气田天然气开采加工过程中产生的甲醇污水水质复杂,区域差异大,只有正确认识甲醇污水水质特点,才能有针对性地进行甲醇污水处理工艺设计及运行管理,确保系统平稳、安全运行。文章分析了靖边气田、榆林气田、苏里格气田甲醇污水水质特点,对以上气田水质进行综合比较。应根据含醇污水水质特点,随着水质的变化进行相应的工艺调整。     

WATER QUALITY MONITORING: WHERE'S THE BEEF?1

ABSTRACT: Water quality monitoring, as a function of society's efforts to manage the environment, is the contact mechanism that management and the public has with the actual water quality in the environment. Water quality monitoring has been studied extensively for many years to ensure that it produces information about water quality conditions. Current efforts to reduce government spending will have negative impacts on those government functions deemed to be non-responsive to the needs of the public. How well does water quality monitoring inform taxpayers about the status and trends in water quality conditions in the United States? This paper reviews a number of past efforts to “improve” water quality monitoring, discusses barriers to such improvement, and suggests ways that monitoring can be made more accountable for the information it should be producing for public understanding of water quality conditions. In particular, the need for standardization in data analysis and reporting of information to the public, is highlighted.     

ESTABLISHING STATISTICAL DESIGN CRITERIA FOR WATER QUALITY MONITORING SYSTEMS: REVIEW AND SYNTHESIS1

ABSTRACT: Regulatory water quality management has placed fairly extensive information expectations on routine, fixed-station monitoring without a corresponding emphasis being placed on the need to design monitoring systems to meet these expectations. To correct the situation there is increasing interest in developing more quantitative monitoring system design procedures which incorporate the statistical nature of sampling. In examining the development of such quantitative criteria, this paper describes the roles of statistics in a systematic approach to monitoring - initial design and routine reporting of results - and reviews the use of statistics in each. The paper emphasizes the need to tie the two together, via statistical design criteria, in order for the identified information expectations to be met in a statistically sound manner. However, the use of statistics in water quality monitoring is noted as currently being as much an art as it is a science.     

浅议污染源水质监测的质量保证

本文从污染源调查、监测方案、布点和采样、样品保存和前处理、监测分析、数据处理和监测报告等方面,讨论污染源水质监测的质量保证。强调质量保证体系应当贯穿于污染源水质监测的全过程。污染源水质监测过程始终都应有质量保证措施,才能获得准确可靠的测定结果。     

The environmental audit. II. Application to stream network design

The planning and execution of water quality management programs requires careful collection and analysis of data coupled with a systematic review and analysis of programmatic success. The environmental audit is a tool which facilitates improved water quality planning and management. This article demonstrates the utility of the environmental audit by reviewing portions of a comprehensive review of the water quality management program for the state of Idaho. The audit is a tool which forces careful design of a sampling program before data are collected. In the audit approach, program objectives are clearly stated prior to initiation of sampling. Stated objectives are also evaluated regularly to identify tension points, that is, conflicts between expectations and reality. In the example taken from Idaho, a management review team followed a directive to redesign the water quality monitoring program. We present a summary of the redesign as proposed by that team, to illustrate the results of a typical review of monitoring programs. That summary is followed by an example of how the proposed program would differ if the audit approach had been used. The two approaches offered both coincident and conflicting recommendations. Management review team and audit recommendations for lake sampling programs were similar even though a different process was used to develop the recommendations. The most striking contrast between the two results lies in the review team's approach to the problem. The directives followed, and the team's responses, concentrate on tools, such as increasing biological monitoring or reliance on monthly BWMP stations. In contrast, the audit results stress addressing management questions for which clear objectives have been stated, depending on specific tools only as needed to meet stated objectives. Although the audit does integrate externalities in its structure, it is little affected by economic or political influences. A major strength of the audit approach is its ability to provide defensible data for management decision making.     

An innovative modeling approach using Qual2K and HEC-RAS integration to assess the impact of tidal effect on River Water quality simulation

Water quality modeling has been shown to be a useful tool in strategic water quality management. The present study combines the Qual2K model with the HEC-RAS model to assess the water quality of a tidal river in northern Taiwan. The contaminant loadings of biochemical oxygen demand (BOD), ammonia nitrogen (NH₃-N), total phosphorus (TP), and sediment oxygen demand (SOD) are utilized in the Qual2K simulation. The HEC-RAS model is used to: (i) estimate the hydraulic constants for atmospheric re-aeration constant calculation; and (ii) calculate the water level profile variation to account for concentration changes as a result of tidal effect. The results show that HEC-RAS-assisted Qual2K simulations taking tidal effect into consideration produce water quality indices that, in general, agree with the monitoring data of the river. Comparisons of simulations with different combinations of contaminant loadings demonstrate that BOD is the most import contaminant. Streeter-Phelps simulation (in combination with HEC-RAS) is also performed for comparison, and the results show excellent agreement with the observed data. This paper is the first report of the innovative use of a combination of the HEC-RAS model and the Qual2K model (or Streeter-Phelps equation) to simulate water quality in a tidal river. The combination is shown to provide an alternative for water quality simulation of a tidal river when available dynamic-monitoring data are insufficient to assess the tidal effect of the river.     

A PRACTICAL MODEL INTEGRATING QUALITY ASSURANCE INTO ENVIRONMENTAL MONITORING1

ABSTRACT: A model of comprehensive environmental monitoring process with integral quality assurance is presented. This model views the monitoring process as iterative cycles of a series of elements: design, plan, protocols, preparation, field liaison, sample collection, sample handling, laboratory analysis, data transmission, data validation, data approval, data provision, statistical analysis, and reporting. Quality assurance is linked to each element, not just to laboratory analysis. The program of quality assurance ensures that environmental monitoring data are compatible with the project goals, are comparable between various sampling agencies, and maintain a high degree of scientific credibility. The key characteristics of the overall quality assurance process are detailed documentation, timely resolution of problems, regular reporting, and routine independent audits.     

NEW ZEALAND'S NATIONAL WATER QUALITY MONITORING NETWORK - DESIGN AND FIRST YEAR'S OPERATION1

ABSTRACT: The design and implementation of a national surface water quality monitoring network for New Zealand are described. Some of the lessons learned from the first year of operation are also addressed. Underpinning the design, and specified in advance, are the goal and objectives, the data quality assurance system, and the mechanism for data interpretation and reporting. Because of the difficulties associated with the use of a multitude of different agencies, only one agency is involved in field work and one laboratory undertakes the analysis. Staff training has been given a high priority. The network has been designed to give good trend detectability for regular sampling over a 5–10 year period.     

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.     

How to Quantify Sustainable Development: A Risk-Based Approach to Water Quality Management

Since the term was coined in the Brundtland report in 1987, the issue of sustainable development has been challenged in terms of quantification. Different policy options may lend themselves more or less to the underlying principles of sustainability, but no analytical tools are available for a more in-depth assessment of the degree of sustainability. Overall, there are two major schools of thought employing the sustainability concept in managerial decisions: those of measuring and those of monitoring. Measurement of relative sustainability is the key issue in bridging the gap between theory and practice of sustainability of water resources systems. The objective of this study is to develop a practical tool for quantifying and assessing the degree of relative sustainability of water quality systems based on risk-based indicators, including reliability, resilience, and vulnerability. Current work on the Karoun River, the largest river in Iran, has included the development of an integrated model consisting of two main parts: a water quality simulation subroutine to evaluate Dissolved Oxygen Biological Oxygen Demand (DO-BOD) response, and an estimation of risk-based indicators subroutine via the First Order Reliability Method (FORM) and Monte Carlo Simulation (MCS). We also developed a simple waste load allocation model via Least Cost and Uniform Treatment approaches in order to consider the optimal point of pollutants control costs given a desired reliability value which addresses DO in two different targets. The Risk-based approach developed herein, particularly via the FORM technique, appears to be an appropriately efficient tool for estimating the relative sustainability. Moreover, our results in the Karoun system indicate that significant changes in sustainability values are possible through dedicating money for treatment and strict pollution controls while simultaneously requiring a technical advance along change in current attitudes for environment protection.     

构建流域水质综合监测体系的初探

流域水质监测是流域水环境改善与污染防治的重要前提,为流域水环境管理提供了必要的技术支撑。目前环保、水利、流域管理等众多部门均承担了一定范围内的流域水质监测工作,但由于监测方法、取样断面等方面的差异,各监测机构的数据往往存在较大差异,不利于流域水质现状评价、预警预报和水环境的综合管理。本文以长江流域的跨省界断面为研究对象,对构建流域水质综合监测体系进行初探研究,对于确保流域水质安全具有重要意义。