饮用水氯化消毒过程的动力学模型研究进展

饮用水氯化消毒的安全性问题一直是水处理领域的研究重点,其氯化消毒过程动力学过程模型的建立,对于饮用水含氯量监测、评价及生成消毒副产物的控制具有重要意义。本文概述了饮用水氯化消毒过程的有关动力学模型研究现状及进展,从模型依据的机理和表达形式等方面分析了饮用水氯化消毒过程的动力学模型研究进展,介绍了广泛应用的几种模型,如Clark自由氯衰减模型、Valentine氯胺衰减模型等,通过对相关模型的原理、异同点、优缺点、适用性的对比及对影响模型的因素分析,对氯化消毒过程中动力学模型的今后发展趋势作了展望。     

生态足迹模型修正的初步探讨

针对生态足迹应用于区域可持续发展评价的不足之处,采取理论拓展、与其他指标结合、引入基于时间尺度的定量指标等方法,对生态足迹模型的修正进行了初步探讨,为生态足迹模型更好地应用于区域可持续性评价提供了科学指导,为进一步的实例研究提供了理论依据。     

环境法治多中心模式及其结构设计

首先指出我国目前的环境法治行政单中心模式的弊端,进而分析了多中心理论在我国的适用性,并在对其进行修正的基础上,进行了环境法治多中心模式的框架设计。     

地表水水质模型概述

近些年来,我国水环境问题日益凸显,借助水质模型对水污染问题进行研究,并为相关管理和规划提供技术支持已经成为水环境研究的热点。本文阐述了地表水水质模型的概念、发展以及分类,介绍了几种当前比较成熟的地表水水质模型,并对地表水水质模型的未来发展做了展望。     

亚运时段广州大气污染物来源数值模拟研究

利用嵌套网格空气质量预报模式系统(Nested Air Quality Prediction Model System,NAQPMS)研究2006年亚运时段广州的空气质量状况,同时结合污染源追踪方法,分析珠三角各城市的源排放对广州全市、广州二环以内市区、广州6个亚运加强观测站的污染物浓度贡献.结果表明,NAQPMS模式能较好地反映广州各污染物(NO2、SO2、PM10)浓度的变化;广州全市、广州市区、6个亚运加强观测站的污染物最主要来源于本地排放,而周边城市以东莞的贡献最大.3个源受体中,广州市区受本地排放的影响最显著,来自本地的NO2、SO2、PM10的月均贡献率分别为89.5%、75.4%、86.7%;东莞则对6个亚运加强观测站的影响最为突出,其NO2、SO2、PM10的月均贡献率达9.3%、23.8%、21.7%,而日最大贡献率高达19.3%、40.2%、48.7%.因此在大力削减广州本地污染排放的同时,对周边城市特别是东莞实施区域联防联控,将能有效改善亚运场馆附近的空气质量.     

带肋薄壁钢管混凝土T形柱温度场试验与数值分析

为研究高温下带肋薄壁钢管混凝土T形截面柱温度场的分布规律,采用电热炉进行了温度场试验,进而采用ABAQUS有限元软件建立模型,与试验结果比较,验证模型的可靠性,在此基础上,分析了标准火灾下构件温度分布规律,构件从受火面到构件截面中部,温度逐渐降低,混凝土温度较钢管和钢筋温度明显滞后,且四个阳角温度高于两个阴角温度。在工程常用范围内,分析了受火时间、截面尺寸和加劲肋间距对构件温度场分布的影响,结果表明:随着构件截面尺寸的增大截面温度呈明显降低趋势,随着受火时间的增加钢管温度和混凝土温度呈不同态势增长,而钢筋加劲肋间距变化对温度场影响较小。     

Model experiment on the dynamic process of oil leakage from the double hull tanker

This paper presents an experimental investigation on oil leakage from the double hull tanker (DHT). It is designed to explore the dynamic process of oil leakage from bottom-rupture hole of DHT. The experimental test shows the leakage resistance mechanism of ballast tank space. The behavior of oil leakage from damaged DHT and dynamic features of flow in the overall process are demonstrated from experimental results. The overall process of oil leakage is divided into free-leakage and resistance-leakage stage according to the corresponding power to study the dynamic features of oil-water flow inside or outside the tank. The corresponding dominated factors of oil leakage in different stage are also pointed out, and the unsteady Bernoulli’s equation is used to verify experimental results. Meanwhile, viscous effect in leakage process is discussed and the importance of hydrodynamic features associated with the mechanism of oil leakage is explored from experimental results.     

Mapping Outlets of Iowa Flood Center and National Water Center River Networks for Hydrologic Model Comparison

River networks based on Digital Elevation Model (DEM) data differ depending on the DEM resolution, accuracy, and algorithms used for network extraction. As spatial scale increases, the differences diminish. This study explores methods that identify the scale where networks obtained by different methods agree within some margin of error. The problem is relevant for comparing hydrologic models built around the two networks. An example is the need to compare streamflow prediction from the Hillslope Link Model (HLM) operated by the Iowa Flood Center (IFC) and the National Water Model (NWM) operated by the National Water Center of the National Oceanic and Atmospheric Administration. The HLM uses landscape decomposition into hillslopes and channel links while the NWM uses the NHDPlus dataset as its basic spatial support. While the HLM resolves the scale of the NHDPlus, the outlets of the latter do not necessarily correspond to the nodes of the HLM model. The authors evaluated two methods to map the outlets of NHDPlus to outlets on the IFC network. The methods compare the upstream areas of the channels and their spatial location. Both methods displayed similar performance and identified matches for about 80% of the outlets with a tolerance of 10% in errors in the upstream area. As the aggregation scale increases, the number of matches also increases. At the scale of 100 km², 90% of the outlets have matches with tolerance of 5%. The authors recommend this scale for comparing the HLM and NWM streamflow predictions.     

Challenges and Opportunities for Creating Intelligent Hazard Alerts: The “FloodHippo” Prototype

Disasters evolving from hazards are a persistent and deadly occurrence in the United States. Despite this, hazard alerts have remained spatially vague, temporally imprecise, and lack actionable information. These deficiencies indicate a divide between the status quo and what is possible given modern environmental models, geographic information systems (GIS), and smartphone capabilities. This work describes an alternative, prototype system, “FloodHippo,” which integrates operational model outputs, cloud‐based GIS, and expanded communication channels to provide personal and interactive disaster alerts for floods. The precepts and methods underpinning FloodHippo apply equally to other disasters that evolve over space and time, presenting the opportunity for a more intelligent disaster response system. The development of such a system would not only minimize current shortcomings in disaster alerts but also improve resilience through individual action, along with community, academic, and federal cooperation.     

高斯轨迹烟云扩散模型在贵阳空气质量预报中的应用

选择在复杂地区应用较好的高斯轨迹烟云扩散模型,作为贵阳市空气质量预报的数学扩散模式,并利用贵阳市现有的污染源排放资料和气象资料,对贵阳市的大气污染物分布进行了模拟计算,经与实测结果比较表明:实测值与监测值基本一致,相关性较好。该模式可以作为贵阳市空气质量预报的数学扩散模式,对其他城市也具有一定的借鉴作用。