因特摩实时智能监控及事故预报防范系统--人工智能与计算机技术在安全生产中的应用

介绍了因特摩实时智能监控及事故预报防范系统.该系统是基于因特网的实时集成分布式智能系统,能对生产过程和设备进行智能监控及对事故进行预报和防范.其超媒体显示空间分别用"公有知识显示窗口"、"私有知识显示窗口"和"实时反向推理启示窗口"为生产人员提供及时有效的操作指导.因特摩系统将人类智慧与机器智慧相集成,将私有知识和公有知识相集成,把知识集成系统(KIS)和信息处理自动化系统(如MIS和ERP系统)以及数据处理自动化系统(如DCS、PLC和SCADA系统)相集成,体现了诸多的新方法和新功能,在安全生产中发挥出了作用,实现了"信息化带动工业化,知识化推动信息化".     

MBR工艺处理综合医院污水

本文介绍了综合医院污水治理采用的MBR工艺方法.工程核心构筑物——MBR反应器经调试试运行后,达到了预期的安全、高效的设计原则,为我国综合医院污水的治理提供了技术改造要点及可行性经验.     

杭州湾南岸20 a水质净化功能变化及预测

区域水质净化功能及其影响因素的研究,对深入了解区域水质净化潜力,指导因地制宜的区域总体规划方案与环境保护措施具有重要的现实意义.研究区位于杭州湾南岸,是陆海相互作用的典型区域,承载着重要的经济发展及生态环境功能.基于收集的地形和土地利用类型数据,结合基于站点的气象数据,采用生态系统服务和权衡的综合评估模型（InVEST模型）中的水质净化模型,研究杭州湾南岸氮（N）、磷（P）的负荷量、输出量和净化量的时空演变特征,探索不同发展情境下研究区域水质净化功能的差异.结果表明,时间上,N和P的输出量以及净化量在两年中存在明显差异,相比2000年,2020年研究区域N总负荷量减少276.72 t,输出量减少140.86 t,净化量减少137.86 t;P总负荷量增加93.65 t,输出量增加28.91 t,净化量增加64.74 t;空间上,N、P输出量空间分布趋势大致相同,总体呈现北高南低以及南部部分区域为高值的特征,与土地利用类型密切相关;基于不同情景的模拟分析表明,在自然发展优先情景下,研究区N、P的输出量分别为1 682.36 t和115.50 t,在经济发展优先情景下,区域N、P的输出量分别增加约83.02%和79.93%,在环境保护情景下,区域N、P的输出量分别减少约为79.96%和56.44%.因此环境保护发展优先情景,能有效地减少区域N和P的输出,提高水质净化功能.研究结果为制定区域陆海统筹的规划方案,促进研究区域内经济和生态的协同发展提供了坚实的理论基础.     

陶粒复合垂直流人工湿地对污水季节性处理效果的试验研究

研究了四种陶粒组合、一种石灰石碎石5套复合垂直流人工湿地在不同季节处理生活污水的运行效果。结果表明:陶粒组合人工湿地系统对COD、TP、NH3-N的去除效果均优于石灰石碎石湿地;复合垂直流人工湿地对COD的去除效果在冬季有所下降,但仍保持在50%以上;湿地系统对TP去除率受季节性变化影响不显著,但随着复合垂直流人工湿地系统的运行,基质层对TP的吸附逐渐饱和,去除效率缓慢下降;1号~5号人工湿地对氨氮的去除率分别从秋季42.0%、55.1%、61.1%、49.9%、50.2%下降至冬季21.9%、31.0%、36.5%、28.5%、29.2%,春、夏季处理效率开始回升,并保持稳定的状态。     

水环境中重金属铜暴露下青鳉鱼的行为响应

采用生物行为传感器监测青鳉鱼在重金属铜暴露下的行为数据,分析不同暴露浓度(20、10、5、1和0.1 TU)下青鳉鱼的行为响应。20、10、5、1和0.1 TU的暴露浓度下青鳉鱼对重金属污染的行为反应模式符合环境胁迫阈值模型,且不同浓度梯度重金属对青鳉鱼产生不同的行为毒性效应。利用重金属作用下青鳉鱼的行为变化来研究重金属环境胁迫导致的生物行为响应机制,从而得到重金属暴露下生物行为的实时变化过程和趋势,可对水环境生态系统质量进行综合评价。     

案例—数据集成驱动的CI抗灾能力评估指标选择

关键基础设施（CI）是维持社会大系统正常运行的重要组成部分,是复杂的网络巨系统,而CI抗灾能力评估指标需具有系统性、客观性和一致性。案例驱动与数据驱动在能力评估指标选择中各有优势,亦相互支持。依靠案例驱动,可以把握历史经验,引导CI抗灾能力评估的情景设计及全局指标选择改进;借助数据驱动,可以发现潜在的微观指标,通过数据分析引导抗灾能力评估微观指标体系改进与完善。集成这2种评估驱动方法,提出CI抗灾能力评估指标选择的案例-数据集成驱动框架,并结合用例验证评估方法的有效性。     

Relation of dietary inorganic arsenic exposure and urinary inorganic arsenic metabolites excretion in Japanese subjects

Inorganic arsenic (InAs) is a ubiquitous metalloid that has been shown to exert multiple adverse health outcomes. Urinary InAs and its metabolite concentration has been used as a biomarker of arsenic (As) exposure in some epidemiological studies, however, quantitative relationship between daily InAs exposure and urinary InAs metabolites concentration has not been well characterized. We collected a set of 24-h duplicated diet and spot urine sample of the next morning of diet sampling from 20 male and 19 female subjects in Japan from August 2011 to October 2012. Concentrations of As species in duplicated diet and urine samples were determined by using liquid chromatography-ICP mass spectrometry with a hydride generation system. Sum of the concentrations of urinary InAs and methylarsonic acid (MMA) was used as a measure of InAs exposure. Daily dietary InAs exposure was estimated to be 0.087 µg kg^?1 day^?1 (Geometric mean, GM), and GM of urinary InAs+MMA concentrations was 3.5 ng mL^?1. Analysis of covariance did not find gender-difference in regression coefficients as significant (P > 0.05). Regression equation Log ₁₀ [urinary InAs+MMA concentration] = 0.570× Log ₁₀ [dietary InAs exposure level per body weight] + 1.15 was obtained for whole data set. This equation would be valuable in converting urinary InAs concentration to daily InAs exposure, which will be important information in risk assessment.     

化学污染物对珊瑚礁生态系统的影响研究进展

化学污染物是影响珊瑚礁生态系统健康的重要因素之一。随着我国社会经济的发展,沿海农业活动、城市工业化以及旅游业的发展导致珊瑚礁生长区的化学污染物浓度越来越高。珊瑚礁生态系统长期在化学污染物的联合胁迫下,生态风险指数日益增加,受到国内外研究者的极大关注。本文综述了国内外该领域的重要研究进展,并从个体、细胞和分子水平重点介绍了化学污染物对珊瑚的影响,主要包括：(1)珊瑚礁对重金属和多环芳烃有明显的富集作用,可以作为该海域化学污染物污染水平的外在反映;(2)化学污染物对珊瑚幼体的影响程度比成体大;(3)抗氧化酶和特定的功能基因可被用作生物标记物来监测珊瑚礁生态系统的健康状况。最后,对我国未来珊瑚礁生态系统的研究方向进行展望,建议在典型珊瑚礁海域进行长期的生态学监测,结合室内胁迫实验,筛选出敏感的生物标志物(biomarker),为今后珊瑚礁生态系统的保护提供基础信息,并对其可能存在的环境风险进行评价。     

Water-smart growth planning: linking water and land in the arid urbanizing American West

Linking water and land is essential in planning for the future of the western United States. We propose the concept of ‘water-smart growth’ and explore its implications through incorporating water considerations into the SLEUTH land-use model. The urban growth trajectory in Cache County, Utah, is modeled from 2007 to 2030 under four different scenarios: current trend; smart growth; water-smart growth with moderate implementation; and water-smart growth with full implementation. Comparisons of simulation results illustrate the extent and ways in which water-smart growth would alter current established land-use growth patterns. The approach represents an initial step to better integrate land and water in urban growth modeling and planning. This study's purposes are to provide improved understanding and representation of linkages between water and land in urbanizing environments, offer insights from a set of modeled options, and demonstrate the significance of integrating land and water in planning practices.     

An Open Source GIS‐Based Decision Support System for Watershed Evaluation of Best Management Practices

Economic costs, water quantity/quality benefits, and cost effectiveness of agricultural best management practices (BMPs) at a watershed scale are increasingly examined using integrated economic‐hydrologic models. However, these models are typically complex and not user‐friendly for examining the effects of various BMP scenarios. In this study, an open source geographic information system (GIS)‐based decision support system (DSS), named the watershed evaluation of BMPs (WEBs), was developed for creating BMP scenarios and simulating economic costs and water quantity/quality benefits at farm field, subbasin, and watershed scales. This DSS or WEBs interface integrated a farm economic model, the Soil and Water Assessment Tool (SWAT), and an optimization model within Whitebox Geospatial Analysis Tools (GAT), an open source GIS software. The DSS was applied to the 14.3‐km² Gully Creek watershed, a coastal watershed in southern Ontario, Canada that drains directly into Lake Huron. BMPs that were evaluated included conservation tillage, nutrient management, cover crop, and water and sediment control basins. In addition to assessing economic costs, water quantity/quality benefits, and cost effectiveness of BMPs, the DSS can be also used to examine prioritized BMP types/locations and corresponding economic and water quantity/quality tradeoffs in the study watershed based on environmental targets or budget constraints. Further developments of the DSS including interface transfer to other watersheds are also discussed. Editor's note : This paper is part of the featured series on SWAT Applications for Emerging Hydrologic and Water Quality Challenges. See the February 2017 issue for the introduction and background to the series.