GIS在化工园区事故应急救援辅助决策中的应用

采用GIS平台与应急决策支持技术相结合,以园区高危工艺和重大危险源作为分析对象,开发化工园区安全管理系统中的应急救援辅助决策模块,针对园区内高危工艺或重大危险源事故后果预测与事故应急救援管理的科学性和有效性,扩展为对整个化工园区的事故风险管理与事故应急救援辅助决策支持。运用该模块可实现园区内突发事故后果预测、最优救援和疏散路径规划、应急辅助决策方案生成,有效提高化工园区事故救援的科学性和效率,减少人员伤亡和财产损失,提高化工园区安全管理水平。     

种族鱼群优化支持向量机序列理论监测尾矿坝

为监测预警尾矿坝的变形位移,提出基于结构风险最小化理论的支持向量机进行学习预测。通过采集有效数据,对时间序列数据进行归一化序列处理,然后采取种族鱼群选择向量机参数,对处理后的数据进行支持向量机回归预测。将该理论应用到某尾矿坝监测系统,得到了较为准确的预测结果,表明该理论充分利用了数据的统计特性,精度和泛化能力都得到了明显提高,可作为尾矿坝监测系统的有效指导。     

不同配置人工湿地对分散性生活污水的处理效能研究

为研究不同植物及组合(美人蕉+黄菖蒲、花叶芦竹、黄菖蒲、旱伞草)与不同填料(陶粒、沸石、改性沸石、改性钢渣)对系统处理分散性生活污水效能的影响,建立了8种不同配置的潜流式人工湿地中试系统。结果表明,各湿地对COD均具有较好的去除效果(去除率大于70%)。旱伞草、黄菖蒲+美人蕉、黄菖蒲和花叶芦竹四植物系统对TN的去除率均呈先降低后上升的趋势,最终平均去除率分别为57.8%、51.1%、50.4%和45.5%。改性沸石、沸石、陶粒和改性钢渣填料系统对TN平均去除率分别为96.4%、83.7%、34.6%和26.6%。各植物系统对TP的去除效果差异不显著,其中旱伞草系统TP平均去除负荷最大(0.63 g/(d·m2))。各填料对TP的去除效果从大到小依次为改性钢渣、改性沸石、陶粒、沸石,改性钢渣和改性沸石对TP的去除能力显著高于陶粒和沸石,平均去除率达86.3%和78.8%。研究表明,分别采用旱伞草和改性沸石为湿地植物和填料具有较好的应用前景。     

填料型A2/O工艺污水处理及反硝化除磷效能

填料型A~2/O工艺是在A~2/O工艺的基础上通过向厌氧池、缺氧池、好氧池中投加醛化纤维式组合填料,将传统活性污泥法与生物膜法相结合组成一套脱氮除磷的新系统,文章对填料型A~2/O工艺与传统A~2/O工艺处理生活污水的效果进行了对比研究,以及对该复合式工艺在不同硝化液回流比下反硝化除磷能力进行了分析.研究结果表明,相同条件下,填料型A~2/O工艺对生活污水的处理效果要优于传统A~2/O工艺,分别使COD和氨氮的去除率达到92.5%和93.1%.试验通过增加硝化液回流比的措施使得反硝化聚磷菌在填料上富集程度增大,当硝化液回流比为300%时,缺氧池的NO-3-N浓度为3.03 mg·L~(-1),吸磷量最大为26.28 mg·L~(-1),胞内聚合物PHB代谢活性最好,利用率最高为1.32 g·g~(-1)·L~(-1).体现了填料型A~2/O工艺具有显著的反硝化除磷效果.     

不同SAPO分子筛负载MnOx催化剂的低温NH3-SCR性能研究

以磷酸硅铝分子筛SAPO-5、SAPO~(-1)1和SAPO-34为载体,采用乙醇分散法制备了用于低温氨选择性还原(NH_3-SCR)NO_x的分子筛负载MnO_x催化剂.活性测试结果显示,3种分子筛催化剂均展现出优良的NH_3-SCR活性,但三者在低温区间的SCR活性存在较明显差异,其SCR活性顺序如下:MnO_x/SAPO-34MnO_x/SAPO-5MnO_x/SAPO~(-1)1.借助XRD、N2吸附-脱附、XPS、H2-TPR、NH_3-TPD、NH_3FT-IR等技术对催化剂的表面活性物种及表面酸性等进行表征分析,结果表明,MnO_x主要以无定型状态分散于载体上,负载后载体的比表面积和孔体积均有所下降.XPS和H2-TPR分析证实,不同分子筛载体上MnO_x的表面浓度与氧化态明显不同.NH_3-TPD和NH_3FT-IR分析揭示了催化剂表面均存在Bronsted酸位和Lewis酸位,其中,Lewis酸性位对低温SCR反应起着关键作用.研究表明,催化剂的催化性能会因载体不同而存在差异,高Mn4+表面浓度和丰富的Lewis酸性位对催化剂在低温区间实现优良的催化活性尤为重要.     

A Water Allocation Decision‐Support Model and Tool for Predictions in Ungauged Basins in Northeast British Columbia,Canada

Pressures on water resources due to changing climate, increasing demands, and enhanced recognition of environmental flow needs result in the need for hydrology information to support informed water allocation decisions. However, the absence of hydrometric measurements and limited access to hydrology information in many areas impairs water allocation decision‐making. This paper describes a water balance‐based modeling approach and an innovative web‐based decision‐support hydrology tool developed to address this need. Using high‐resolution climate, vegetation, and watershed data, a simple gridded water balance model, adjusted to account for locational variability, was developed and calibrated against gauged watersheds, to model mean annual runoff. Mean monthly runoff was modeled empirically, using multivariate regression. The modeled annual runoff results are within 20% of the observed mean annual discharge for 78% of the calibration watersheds, with a mean absolute error of 16%. Modeled monthly runoff corresponds well to observed monthly runoff, with a median Nash–Sutcliffe statistic of 0.92 and a median Spearman rank correlation statistic of 0.98. Monthly and annual flow estimates produced from the model are incorporated into a map‐ and watershed‐based decision‐support system referred to as the Northeast Water Tool, to provide critical information to decision makers and others on natural water supply, existing allocations, and the needs of the environment.     

大气污染总量控制规划智能决策支持系统的开发与研究

对大气污染总量控制规划智能决策支持系统的开发步骤和总体结构做了介绍。并描述了该系统中的知识库系统、模型库系统、数据库系统和图形库系统的设计思想,特别是对知识库的构造进行了较详细的叙述。还介绍了神经网络技术在该系统中的应用。指出大气污染总量控制规划智能决策支持系统将为大气污染总量控制提供更科学、更合理、更有效的规划方案。     

中国省级环境决策支持系统的系统分析

中国省级环境决策支持系统(DSS)是基于GIS和各种模型的空间决策支持系统?该文介绍了DSS系统的系统分析方法和内容,包括软件需求说明?数据需求说明和总体设计      

复杂河流系统水污染的计算机图形模拟

讨论在河流系统水污染规划中应用交互式计算机图形技术。通过对复杂河流系统水污染的图形模拟,提出建立图模型的一般理论和方法,并就浑太流域河流水污染案例给出实际模拟结果。     

SELECTION AND SUSTAINABILITY OF LAND AND WATER RESOURCE MANAGEMENT SYSTEMS1

ABSTRACT: Most spatial decision support systems for natural resource planning and management are limited by their scenario-based (non-behavioral), deterministic (non-stochastic) structure. A spatial decision support system is developed that uses a multiple attribute decision-making model to explain how a property manager selects a land and water resource management system (LWRMS) based on its multiple, stochastic economic and environmental attributes. The decision support system assesses sustainable resource management at the property and watershed scales and identifies the most cost-effective policy for enhancing sustainable resource management. Economic attributes are determined with an economic model and environmental attributes are simulated with an environmental model. Input parameters for both models are generated with a geographic information system. The decision support system is used to rank five LWRMS for a sample of 20 farmers in Missouri's Goodwater Creek watershed and for two hypothetical watershed alliance groups. Results indicate that the average farmer and the two alliance groups would rank the five LWRMS in the same manner. From the viewpoint of the watershed alliance, the most preferred LWRMS for the average farmer in the watershed is sustainable.