室内废气污染的计算与分析

通过对吸油烟机抽吸风场有效强度矢量图的测量 ,给出了吸油烟机质量技术检验方法和油烟废气、燃气废气污染泄漏量的计算方法 ;对油烟、燃气废气在厨房的扩散与循环作了详细分析 ,并对国标提出几点建议。     

衡山地区酸性降水来源和成因的研究

运用大气物理和大气化学相结合的方法,通过对衡山气态污染物、大气气溶胶、云水和降水的同步综合观测和分析,探讨了衡山地区酸性降水的来源和成因,指出衡山地区的酸性降水与大气污染物的传输有关.     

制革废水处理工程设计与效益分析

介绍日排放量为１２００ｍ＾３的制革废水处理工程实例，文中说灾地阐述了以活性污泥法为主体的生化处理工艺对废水中污染物的去除作用，并确定主要处理设施设计参数。经过一年多的实际运行，运行状况稳定，废水中ＣＯＤｓｆ去除率为８０．８％，ＳＳ去除率为８９．４％，Ｃ１＾６＋去除率为９２．５％，Ｃｕ总去除率为９６．４％。     

混凝、水解酸化、活性污泥工艺处理啤酒生产废水工程实例

以化学混凝沉淀、水解酸化、传统活性污泥法处理啤酒生产污水,COD从2400mg/l降至100mg/l,BOD5从1599mg/l降至30mg/l,达到一级排放标准,采用集散式计算机控制系统,操作简单,管理方便.     

森林-水资源系统的理论分析

本文认为,应当从森林-水资源系统出发研究森林与水资源的关系。并提出了一个分析森林-水资源系统产流过程的仿真模拟方法,得出在一定条件下,有森林植被的地方可能会比无森林植被的地方产生更多的能够为人类所利用的水资源的结论;进一步提出了构成最佳水资源生成系统的四项条件。作者分析了森林对降雨的影响,认为二次降雨和水平降雨对水资源量的直接影响很小;由于森林是大气的特殊下垫面具有软边界和强烈的物质能量变换的特点,加之森林蒸散的水汽和释放的凝结核等因素,可能会影响大气垂直降雨的空间分布,或提高产生降雨的可能性,从而使有林地区有增雨效果。最后对森林-水资源的研究方法提出了几点建议。     

论我国降水丰度和适度

本文以全球陆地年平均降水量、农田蒸散量和作物需水量等指标为尺度,衡量我国降水量的丰度,从降水的时空分布,及其稳定性等方面评价我国降水量的适度,从经济现状分析我国降水条件对国土开发的影响程度,并和欧美各国对比,说明我国降水条件的优劣程度,指出我国的降水条件和降水量不是黄万里先生所说的那样优越和丰富。     

Origins of black carbon from anthropogenic emissions and open biomass burning transported to Xishuangbanna, Southwest China

Black carbon (BC) has importance regarding aerosol composition, radiative balance, and human exposure. This study adopted a backward-trajectory approach to quantify the origins of BC from anthropogenic emissions ($\mathrm{B}{\mathrm{C}}_{\text{An}}$) and open biomass burning ($\mathrm{B}{\mathrm{C}}_{\text{BB}}$) transported to Xishuangbanna in 2017. Haze months, between haze and clean months, and clean months in Xishuangbanna were defined according to daily PM_2.5 concentrations of >75, 35–75, and <35 µg/m³, respectively. Results showed that the transport efficiency density (TED) of BC transported to Xishuangbanna was controlled by the prevailing winds in different seasons. The yearly contributions to the effective emission intensity of $\mathrm{B}{\mathrm{C}}_{\text{An}}$ and $\mathrm{B}{\mathrm{C}}_{\text{BB}}$ transported to Xishuangbanna were 52% and 48%, respectively. However, when haze occurred in Xishuangbanna, the average $\mathrm{B}{\mathrm{C}}_{\text{An}}$ and $\mathrm{B}{\mathrm{C}}_{\text{BB}}$ contributions were 23% and 77%, respectively. This suggests that open biomass burning (BB) becomes the dominant source in haze months. Myanmar, India, and Laos were the dominant source regions of BC transported to Xishuangbanna during haze months, accounting for 59%, 18%, and 13% of the total, respectively. Furthermore, India was identified as the most important source regions of $\mathrm{B}{\mathrm{C}}_{\text{An}}$ transported to Xishuangbanna in haze months, accounting for 14%. The two countries making the greatest contributions to $\mathrm{B}{\mathrm{C}}_{\text{BB}}$ transported to Xishuangbanna were Myanmar and Laos in haze months, accounting for 55% and 13%, respectively. BC emissions from Xishuangbanna had minimal effects on the results of the present study. It is suggested that open BB in Myanmar and Laos, and anthropogenic emissions in India were responsible for poor air quality in Xishuangbanna.     

Effect of organophosphorus pesticide pollution on soil animals

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Developing Subseasonal to Seasonal Climate Forecast Products for Hydrology and Water Management

We describe a new effort to enhance climate forecast relevance and usability through the development of a system for evaluating and displaying real‐time subseasonal to seasonal (S2S) climate forecasts on a watershed scale. Water managers may not use climate forecasts to their full potential due to perceived low skill, mismatched spatial and temporal resolutions, or lack of knowledge or tools to ingest data. Most forecasts are disseminated as large‐domain maps or gridded datasets and may be systematically biased relative to watershed climatologies. Forecasts presented on a watershed scale allow water managers to view forecasts for their specific basins, thereby increasing the usability and relevance of climate forecasts. This paper describes the formulation of S2S climate forecast products based on the Climate Forecast System version 2 (CFSv2) and the North American Multi‐Model Ensemble (NMME). Forecast products include bi‐weekly CFSv2 forecasts, and monthly and seasonal NMME forecasts. Precipitation and temperature forecasts are aggregated spatially to a United States Geological Survey (USGS) hydrologic unit code 4 (HUC‐4) watershed scale. Forecast verification reveals appreciable skill in the first two bi‐weekly periods (Weeks 1–2 and 2–3) from CFSv2, and usable skill in NMME Month 1 forecast with varying skills at longer lead times dependent on the season. Application of a bias‐correction technique (quantile mapping) eliminates forecast bias in the CFSv2 reforecasts, without adding significantly to correlation skill.     

降水量与城市大气环境关系——以113个环保重点城市为例

为研究降水量与大气污染物之间的关系,依据2017年全国113个环保重点城市大气质量数据,得出城市聚类空间分布规律及两者之间线性拟合方程。基于南北降水量分布特性与城市空气污染指数,采用模糊聚类法对具有不同亲疏程度的城市进行类别划分,运用Spearman相关性与拟合方程对大气污染特征值与降水量进行分析。结果表明：随着聚类种数增多,城市聚集在空间分布上由“环环相套”发展为“依流域分布”,降水量与大气污染物浓度呈现负向关联性,晋冀鲁豫陕省份污染最严重。采用Kolmogorov-Smirnov检验法,得出NO₂、O₃、PM_2.5总体分布符合正态分布,SO₂、PM₁₀、CO既不符合正态分布,也不符合均匀、指数分布,它们与降水量的相关系数为：-0.316、-0.238、-0.332、-0.617、-0.574、-0.695;线性拟合方程系数处于 [-0.031, -0.008] 之间,降水量与大气污染物浓度之间负相关性明显。研究结果有助于了解和认识降水量对城市大气环境变化的影响。