负压二次曝气二氧化氯发生器的研制与应用

以氯酸钠和工业盐酸为基本原料,采用独特的负压二次曝气工艺,在催化剂作用下,经氧化还原反应产生以二氧化氯为主的混合消毒气体,经吸收后形成一定浓度的二氧化氯混合消毒液,与待处理水充分混合,达到杀菌消毒的目的。     

喷淋环栅式除尘脱硫反应器的数学模拟

研制了一种由内外圈构成的喷淋环栅式除尘脱硫反应装置,气、液两相在内外圈之间通向运动,紊流冲激环栅时接触传质。基于溶质渗透理论,提出了以内塔穿孔速率V,液气比L/G,吸收浆液pH值为参数的脱硫效率模型。对比某电厂工况条件下测得的一系列实验数据,显示出该模型与实际情况具有良好的一致性,表明该模型可以用来作为工程设计、最优化技术和推测工业数据的理论参考工具。     

植物修复--大面积低剂量放射性污染的新治理技术

放射性污染是当今难以治理的环境污染问题,对于大面积低剂量的放射性污染,植物修复是种较适用的新型治理技术.系统阐述了植物修复技术的概念与内容,对放射性污染植物修复技术研究现状与进展、植物修复的优缺点进行了重点评述,并对这技术在未来放射性污染治理中的应用与研究提出了建议.     

废水中2,6-二硝基酚厌氧毒性和降解动力学研究

在中温(35℃±1℃)厌氧条件下,以葡萄糖为共基质,采用间歇实验方法,研究了2,6-二硝基酚(2,6-DNP)的厌氧产甲烷毒性和厌氧降解动力学.厌氧毒性试验(ATA)以累计产甲烷量和相对活性(RA)为指标,评价了不同浓度2,6-DNP对产甲烷菌的抑制程度;结果表明,2,6-DNP浓度＜20 mg/L时,对产甲烷菌没有抑制作用,浓度为40 mg/L时产生轻度抑制,浓度为80～120 mg/L时产生重度抑制;24 h 2,6-DNP的75%、50%、25%相对抑制浓度分别为30、70和＞120 mg/L.2,6-DNP降解动力学可用Haldane方程来描述,利用非线性拟合求得动力学参数Ks、Rm、Ki分别为179.7 mg/L、4.84 mg/g VSS·h、206.5 mg/L,方差R2=0.94,拟合效果很好.     

强化工程抗震营造安全家园

任何天灾都比不上地震,它能在短促的时间,波及广大的范围,造成巨大的损失,因此,地震是群灾之首。对于地震,人们既恐惧它,又想了解它,更想抵御和战胜它。266年前银川与平罗间大地震留给人们的记     

被困在石洞的日子

经过连续几天的暴雨冲洗,早已湿透、不堪重负的地面形成了纵横交叉的地下水流,这些水流在几个小时内迅速汇集成河,形成一股来势汹汹的激流,所向披靡,把地面打得千疮百孔,伤痕累累。当7位洞穴学者准备进入法国西南部格拉玛附近的维塔赫尔洞穴时,他们根本没料到几小时后,这里将变成一片汪洋。     

含锌废物综合利用项目环境影响评价工程探索

工业生产的废物当中包含多种重金属,例如钢铁厂的粉尘当中就含有锌。含锌粉尘不仅会在高炉内循环和富集,影响高炉的运行,还会造成环境污染。基于此,本文主要分析含锌废物综合利用,对该项目进行环境评价,探讨有效的对策,以提高含锌废物综合利用的科学性,提高环境保护等级。     

A novel sigma coordinate system to simulate abrupt changes of underwater terrain in a hydrodynamic model: application to Lake Mead,USA

The sigma (SIG) coordinate system in ocean circulation simulation models results inevitably in horizontal pressure gradient error. This problem also emerges in models of deep lakes or reservoirs with the same characteristics of underwater terrain mutation. SIG coordinates reflect vertical relative stratification but cannot be used to calculate horizontal pressure gradient force in places with drastic topographic changes; this results in vertical water temperature and circulation errors. In deep lakes or reservoirs, differences in water density caused by the temperature difference between upper and lower water bodies is the primary cause of thermal stratification phenomena. Lake Mead was used as a case study on steep topography based on Environmental Fluid Dynamics Code (EFDC) model in this study. SIG coordinates result in close agreement between the calibrated temperature time series at the top and middle water layers, but disparity in the bottom water layer. The error emerges in the horizontal pressure gradient error due to the SIG coordinate transformation. Neither increasing the vertical resolution nor adjusting the horizontal viscosity coefficient resolve this error. We test the sigma-zed (SGZ) coordinate which combines Z coordinate and SIG coordinate as a replacement for the SIG coordinate to find that they effectively reduce the model’s runtime and simulation efficiency. The vertical temperature distribution in SGZ coordinate mode is more accurate than the distribution in SIG coordinate mode. The Navier-Stokes horizontal gradient and advection diffusion equation results under SIG coordinates are very sensitive to the pressure gradient. The replacement also enhances resolution near the thermocline, facilitates reclosing of the water bottom and the equal sigma surface, lends significant advantages in terms of vertical temperature in the simulation for local deep water with steep terrain, and shortens runtime for 0.14 h. SGZ mixed coordinates are recommended in the simulation of deep lakes or reservoirs wherein the underwater topography is large (with abundant continuous deep trenches or reefs).

     

2014年北京市CO浓度水平和时空分布

对北京市地面监测站点的CO浓度进行分析,探讨其浓度水平、变化趋势和时空分布特征。2014年春、夏、秋、冬四季北京市CO平均浓度分别为1.06、0.87、1.34、2.17 mg/m³。CO浓度均呈双峰型变化,第一个峰值出现在07：00-09：00,主要由交通早高峰的排放引起;第二个峰值出现在23：00左右,主要受交通晚高峰排放和夜间边界层高度降低的挤压效应的共同影响。从空间分布来看,全年整体呈现南高北低的分布特征,尤其是秋、冬季较为明显,体现了工业布局和区域传输对CO的影响。从全年来看,湿度对CO浓度的影响最大。对2014年冬季北京市的一次高CO浓度分析结果表明,此次过程是由本地排放和区域传输共同造成的,气象要素中地面气压对CO浓度影响最大。     

Robust Regression with Data-Dependent Regularization Parameters and Autoregressive Temporal Correlations

We introduce robust procedures for analyzing water quality data collected over time. One challenging task in analyzing such data is how to achieve robustness in presence of outliers while maintaining high estimation efficiency so that we can draw valid conclusions and provide useful advices in water management. The robust approach requires specification of a loss function such as the Huber, Tukey’s bisquare and the exponential loss function, and an associated tuning parameter determining the extent of robustness needed. High robustness is at the cost of efficiency loss in parameter loss. To this end, we propose a data-driven method which leads to more efficient parameter estimation. This data-dependent approach allows us to choose a regularization (tuning) parameter that depends on the proportion of “outliers” in the data so that estimation efficiency is maximized. We illustrate the proposed methods using a study on ammonium nitrogen concentrations from two sites in the Huaihe River in China, where the interest is in quantifying the trend in the most recent years while accounting for possible temporal correlations and “irregular” observations in earlier years.