厌氧发酵系统中回流沼液的产甲烷活性研究

为确定两阶段厌氧发酵系统合理的污泥回流时段,对厌氧发酵系统排出沼液产甲烷活性进行了研究。通过对这些沼液在后储罐放置的不同天数(0~5 d)测定其不同的活性,用间歇实验方法测定最大比产甲烷活性(Um ax.CH4)作为厌氧污泥的产甲烷活性指标。结果表明,排出的沼液产甲烷活性在不同的时间段有所不同,经实验得出沼液放置第2 d时的产甲烷活性最高,从而确定该两阶段厌氧发酵系统排出污泥合理的回流时段应该是沼液进入后储罐的第2 d。进而为在线活性污泥与后储罐最佳活性时段污泥混合的污泥回流工艺提供理论依据。     

Projected Years Lost due to Disabilities (YLDs) for bacillary dysentery related to increased temperature in temperate and subtropical cities of China

The impact of climate change on enteric infection has been a concern in recent years. This study aims to project disability burdens of bacillary dysentery (BD) associated with increasing temperature in different climatic zones in China. Years Lost due to Disabilities (YLDs) were used as the measure of burden of bacillary dysentery in this study. A temperate city in northern China and a subtropical city in southern China were selected as the study areas. The quantitative relationship between temperature and the number of cases in each city was base on the regression models developed in our previous studies. YLDs for bacillary dysentery in 2000 were used as the baseline data. Projection of YLDs for bacillary dysentery in 2020 and 2050 under future temperature scenarios were conducted. Demographic changes over the next 20 to 50 years in study cities were considered in the projections. Under the temperature scenarios alone, the YLDs for bacillary dysentery may increase by up to 80% by 2020 and 174% by 2050 in the temperate city and up to 75% increase in the YLDs by 2020 and a 147% increase by 2050 in the tropical city. Considering potential changes in both temperature and population size and structure, if other factors remain constant, compared with the YLDs observed in 2000, the YLDs for bacillary dysentery may double by 2020 and triple by 2050 in both the temperate and subtropical cities in China. The temperature-related health burden of enteric infection in China may greatly increase in the future if there is no effective intervention. Relevant public health strategies should be developed at an earlier stage to prevent and reduce the impact of infectious disease associated with climate change.     

Conserving water by optimizing production schedules in the dyeing industry

Industrial dyeing processes generate a huge amount of wastewater, because the production lines have to be washed out each time when the dye changes. We propose an algorithm for the optimization of production schedule. It aims to reduce the production time and the amount of freshwater consumption by optimization the groups orders according to color. Furthermore, we develop software based on the genetic algorithm and implement it in a Chinese company. We optimize the schedules in three months of the case company and compare its output to actual data. The results show that compared to the original manual schedules, the optimized schedules cut production time by 10–15%, reduce freshwater consumption by 20–30%, and reduce wastewater generation by about 20%.     

城市综合防灾与公共安全规划编制

本文介绍了城市综合防灾与公共安全规划编制的指导思想与原则，对城市面临灾害及研究对象层次进行了分类，对城市综合防灾与公共安全规划框架体系进行了探讨，对影响城市的主要灾害提出了防御标准和目标，对城市综合防灾与公共安全防灾保障体系进行了讨论。     

Investigation of PM2.5 pollution during COVID-19 pandemic in Guangzhou, China

The COVID-19 pandemic has raised awareness about various environmental issues, including PM_2.5 pollution. Here, PM_2.5 pollution during the COVID-19 lockdown was traced and analyzed to clarify the sources and factors influencing PM_2.5 in Guangzhou, with an emphasis on heavy pollution. The lockdown led to large reductions in industrial and traffic emissions, which significantly reduced PM_2.5 concentrations in Guangzhou. Interestingly, the trend of PM_2.5 concentrations was not consistent with traffic and industrial emissions, as minimum concentrations were observed in the fourth period (3/01-3/31, 22.45 μg/m³) of the lockdown. However, the concentrations of other gaseous pollutants, e.g., SO₂, NO₂ and CO, were correlated with industrial and traffic emissions, and the lowest values were noticed in the second period (1/24-2/03) of the lockdown. Meteorological correlation analysis revealed that the decreased PM_2.5 concentrations during COVID-19 can be mainly attributed to decreased industrial and traffic emissions rather than meteorological conditions. When meteorological factors were included in the PM_2.5 composition and backward trajectory analyses, we found that long-distance transportation and secondary pollution offset the reduction of primary emissions in the second and third stages of the pandemic. Notably, industrial PM_2.5 emissions from western, southern and southeastern Guangzhou play an important role in the formation of heavy pollution events. Our results not only verify the importance of controlling traffic and industrial emissions, but also provide targets for further improvements in PM_2.5 pollution.     

用Ames试验检测水源水和自来水中的遗传毒性

用微伤寒沙门氏菌／哺乳动物微粒体酶系的Ａｍａｅｓ试验，研究了不同季节物水源水及管网自来水中的遗传毒性，以ＸＡＤ２树脂为吸附剂，以丙酮－甲醇的混合液为洗脱液，浓率水样中的有机物，并对部分阳性水样进行有机成分的定性分析。结果发现：１３个水样中有７个样品在淡需要代谢活化系统Ｓ９的情况下，可诱导鼠伤寒沙门氏菌碱基移码型菌株的回复突变；不同水样在不同季节不同的诱导作用；同时通过ＧＣ／ＭＳ方法分析，发现阳性水     

Spatial–temporal dynamics of NDVI and Chl-a concentration from 1998 to 2009 in the East coastal zone of China: integrating terrestrial and oceanic components

Annual normalized difference vegetation index (NDVI) and chlorophyll-a (Chl-a) concentration are the most important large-scale indicators of terrestrial and oceanic ecosystem net primary productivity. In this paper, the Sea-viewing Wide Field-of-view Sensor level 3 standard mapped image annual products from 1998 to 2009 are used to study the spatial–temporal characters of terrestrial NDVI and oceanic Chl-a concentration on two sides of the coastline of China by using the methods of mean value (M), coefficient of variation (CV), the slope of unary linear regression model (Slope), and the Hurst index (H). In detail, we researched and analyzed the spatial–temporal dynamics, the longitudinal zonality and latitudinal zonality, the direction, intensity, and persistency of historical changes. The results showed that: (1) spatial patterns of M and CV between NDVI and Chl-a concentration from 1998 to 2009 were very different. The dynamic variation of terrestrial NDVI was much mild, while the variation of oceanic Chl-a concentration was relatively much larger; (2) distinct longitudinal zonality was found for Chl-a concentration and NDVI due to their hypersensitivity to the distance to shoreline, and strong latitudinal zonality existed for Chl-a concentration while terrestrial NDVI had a very weak latitudinal zonality; (3) overall, the NDVI showed a slight decreasing trend while the Chl-a concentration showed a significant increasing trend in the past 12 years, and both of them exhibit strong self-similarity and long-range dependence which indicates opposite future trends between land and ocean.