GIS软件在大气环境预测模式地形资料预处理中的应用

本文介绍了GIS软件在新一代大气预测模式复杂地形的模拟和资料获取中的应用，为模拟污染物在复杂地形中扩散提供精确的基础数据，并为GIS和环境学科的交叉应用提供借鉴。     

乌鲁木齐2000年大气污染预测分析

乌鲁木齐大气污染总趋势日益严重。本文根据多年的大气监测数据,采用灰色系统理论 GM(1,1)模型预测了1989—2000年乌鲁木齐市大气颗粒物,二氧化硫、氮氧化物浓度的变化趋势。结果表明灰色系统模型对城市大气污染物浓度的预测具有一定的实用价值。     

大气扩散参数的取样时间订正

就大气环境影响评价浓度预测中 ,对大气扩散参数取样时间订正问题进行了说明和讨论。     

PCA-ANN在典型航空材料铝合金腐蚀数据预测中的应用

针对航空装备在热带海洋大气环境下服役时对金属材料大气腐蚀预测的需求,提出了主成分分析法（PCA）优化的BP神经网络（BPNN）和广义回归神经网络（GRNN）模拟热带海洋大气腐蚀预测模型。研究结果表明,PCA可以很好地对原始数据的进行特征提取,降低样本集的维度。PCA-BPNN和PCA-GRNN模型的拟合优度与预测精度没有明显的相关关系。与PCA-BPNN相比,PCA-GRNN的预测精度高、稳定性更好,这为模拟热带海洋大气腐蚀研究提供了新思路,具有较好的借鉴意义。     

几种大气预测模式预测结果比较分析

估算模式、AERMOD模式系统、ADMS模式系统均是HJ2.2-2008《环境影响评价技术导则大气环境》中推荐的大气预测模式,为探求此3种大气预测模式预测结果的大小关系规律,选用估算模式、AERMOD模式系统、ADMS模式系统,在简单地形和复杂地形两种条件下,结合一般工业类环评项目中常见的点源、面源案例,对不同预测模式的大气预测结果进行比较分析,得出相应的规律,对环评工作中进一步预测模式的选用具有一定的参考借鉴意义。     

城市景观格局与大气颗粒物污染的关系研究

随着城市化和工业化发展,大气颗粒物对城市空气环境造成了严重污染,选取西安市作为研究区,分析不同时间和空间尺度下城市景观格局与大气颗粒物污染的关系。通过GIS软件、Fragstats4.2软件和SPSS软件对西安市2014年土地利用数据和2014年整年的大气颗粒物监测数据进行分析,结果显示,西安市土地利用类型分布较为集中;西安市大气颗粒物浓度的空间分布特征为浓度从市中心至城郊呈梯度递减趋势,在整体上呈现西北高于东南的倾向,大气颗粒物污染物浓度峰值基本都集中出现在建设用地范围内(PM10:102.7μg/m^3;PM2.5:99.7μg/m^3);相关性结果证实了城市景观格局与大气颗粒物浓度的空间分布特征。研究结果为中国西部内陆城市大气颗粒物污染控制、土地利用规划以及生态建设提供参考。     

用灰色系统理论GM(1,1)建立大气降水中酸雨pH值的预测模型

本文用灰色系统理论GM(1,1)建立了大气降水中pH值的预测模型。经三种不同方法检验。对我市1990—1993年大气降水中酸雨pH值进行了预测,结果令人满意。     

ADMS—EIA系统在建设项目大气环境预测评价中的应用

文章对以新一代大气污染物扩散理论为基础的ADMS-EIA系统作简要的概述,并对其在建设项目大气环境预测评价中的应用从参数的选取到预测结果分析评价作以阐述,为以新大气污染物扩散理论在实际的环境研究工作中应用提供借鉴。     

空气质量预测模拟技术演变与发展研究

近年来我国的环境问题日益引人注目,大气污染问题显得尤为突出。空气质量预测技术方法能够提前预测区域空间内的大气污染物浓度,其发展十分迅速。本文介绍了一些国内外常用的空气质量预测技术方法的原理及案例,对其结果与局限性进行归纳总结,并对其未来发展提出展望。空气质量预测技术方法分为两类:数值模拟和统计学习,数值模拟通常可以分为第一代、第二代和第三代空气质量模型,统计学习可以分为简单经验统计和机器学习。两类方法的目的都是尽可能真实、准确地实现特定时间、特定区域范围内大气污染物浓度的预测,但两类方法的原理算法差异较大。该研究系统梳理了空气质量预测技术方法演变的历程和发展的现状,展望了其发展趋势,分析了建立、健全空气质量预测技术标准规范体系的重要性,提出了相关参考建议。     

南通市大气降水中硫酸根的影响因素研究

随着环境空气污染的日益加重,研究硫酸根与降水中其他因子的相关关系对准确反映大气的质量状况具有重要意义.根据南通市2018年的降水监测数据,采用SPSS统计分析软件对降水中的硫酸根浓度与pH值、电导率以及常见阴、阳离子进行相关性分析,推断出离子的可能来源.通过多元线性回归模型可以对南通的硫酸根离子浓度进行预测.研究为南通...     

Air assimilative capacity-based environment friendly siting of new industries--a case study of Kochi region, India

Air pollution has become a matter of grave concern, particularly in mega-cities and urban areas, where the situation is alarming and becoming more and more severe day-by-day and warrants, therefore, careful planning to facilitate future industrial development. Site selection, with the objective of minimizing adverse environmental impacts based on environmental criteria is a vital prerequisite, particularly for air polluting industries. In order to locate any air polluting industry, the assimilative capacity of the region needs to be assessed carefully and planned accordingly, so that the receiving environment is not adversely affected. Assimilative capacity of a region/airshed, widely represented through the ventilation coefficient by many researchers in the past, does not give a clear picture about the amount of emission load that can be assimilated in a given region. The ventilation coefficient, at best, can only present a broad picture about the air pollution dispersion potential (low, medium or high) of the region. A modified approach, which utilizes air quality modelling as a tool to estimate the maximum allowable emission load that a region can assimilate without violating the stipulated standards, has been used for estimating the assimilative capacity of the air environment. Details of this approach have been presented in this paper through a case study carried out for the Kochi region, located in the Kerala State of India. A variety of emission and meteorological scenarios have been considered and critical emission loads have been estimated. This approach shall provide necessary technical guidance to the environmental regulatory authorities as well as to the industries in planning environment friendly industrial development.     

A wind resource assessment around large mountain masses: The speed-up effect

The wind potential around an intensely mountainous area has been studied and an experimental analysis is presented the output of which could be used in the wind farm planning procedure aiming at maximization of the wind power production output of an area. The wind speed of a chosen site of Central Greece was studied based on field measurements around a large mountainous area of Central Greece. Understanding flow in the foothills and the wider area of the mountains is of great importance for estimating wind resource in rough terrain. In this article, special focus was given to the speed-up effect and forced air flow around mountainous masses.     

城市空气质量达标规划编制中的关键技术及其案例应用

本文结合重庆市空气质量限期达标规划编制案例,介绍了城市空气质量达标规划编制中的几个关键技术及其具体应用,包括本地化污染源排放清单编制、污染物来源解析、污染物排放形势预测与减排潜力分析以及大气环境容量核算等。本地化污染源排放清单是城市空气质量达标规划编制的基础,针对现有污染源制定科学合理的减排方案是达标规划的核心内容。分析不同区域的污染物组分浓度特征、污染源贡献以及未来污染排放形势预测,有助于识别出制约未来空气质量达标的关键因素及污染源。基于污染源减排潜力和污染传输矩阵制定的污染源减排方案更具合理性和可行性,应用空气质量模型估算大气环境容量可为规划目标可达性提供依据。     

Artificially roughened solar air heater: A comparative study

Artificially roughened solar air heater has been topic in research for the last 30 years. Prediction of heat transfer and fluid flow processes of an artificially roughened solar air heater can be obtained by three approaches: theoretical, experimental, and computational fluid dynamics (CFD). This article provides a comprehensive review of the published literature on the investigations of artificially roughened solar air heater. In the present article, an attempt has been made to present holistic view of various roughness geometries used for creating artificial roughness in solar air heater for heat transfer enhancement. This extensive review reveals that quite a lot of work has been reported on design of artificially roughened solar air heater by experimental approach but only a few studies have been done by theoretical and CFD approaches. Finally this article presents a comparative study of thermo-hydraulic performance of 21 different types of artificial roughness geometries attached on the absorber plate of solar air heater in terms of thermo-hydraulic performance parameter. Heat transfer and friction factor correlations developed by various investigators for different types of artificially roughened solar air heaters have also been reported in this article.     

The cost of crop damage caused by ozone air pollution from motor vehicles

The effects of ozone air pollution on the agricultural sector are an important environmental challenge facing policy makers. Most studies of the economic impact of air pollution on agriculture have found that a 25% reduction in ambient ozone would provide benefits of at least $1–2 billion annually in the United States. This paper extends existing research by estimating the benefits of a reduction in emissions from a major source of ozone formation: motor-vehicle emissions. An agricultural production model is combined with an analysis of motor-vehicle emissions and air quality to estimate the impacts of emissions from six different motor-vehicle classes, at both the regional and national level. The benefits to the agricultural sector from completely eliminating ozone precursor emissions from motor vehicles ranges between $3·5 and $6·1 billion annually.     

大气环境约束下的中国煤炭消费总量控制研究

煤炭消费过程中排放的大气污染物已成为我国大气污染的重要来源。本文采用WRF-CAMx 空气质量模型定量分析了煤炭消费- 污染物排放- 空气质量之间的影响关系,基于情景分析方法,研究了2020 年、2030年空气质量改善需求对地区大气污染物排放总量与煤炭消费总量的约束作用。在此基础上,结合重点地区行业发展与能源供需等因素,提出各省煤炭消费总量控制目标与控煤对策建议。研究结果表明,要实现2020 年、2030 年空气质量改善阶段性目标,全国煤炭消费总量应分别控制在40.8 亿吨和37.7 亿吨左右,京津冀鲁豫等11 个重点省份2020 年煤炭消费量应控制在15.8 亿吨、2030 年控制在13.1 亿吨,全国煤炭清洁化利用水平需要在当前基础上大幅度提升。     

大气资源资产价值核算技术研究初探——以深圳为例

大气资源是一类重要的"非实物态"自然资源资产。优质大气资源具有重要的生态系统服务价值,对人类生存发展起着至关重要的作用。目前,深圳市已将大气资源纳入自然资源资产负债表账户,但其生态系统服务价值尚未有系统性的量化核算方法,给自然资源资源资产负债表填报及领导干部离任审计等工作带来极大困难。本文在分析2015年深圳市大气环境质量现状的基础上,分别采用条件价值法、治理成本法及健康损害法对三类不同AQI等级的深圳市大气资源价值进行了初步核算,从而构建了大气环境质量价值核算体系。该体系可为深圳市大气资源资产负债表填制及领导干部离任审计提供技术支撑,同时为大气资源质量改善和治理提供管理依据,也为其他地区大气资源价值核算提供技术参考。     

Evaluation of various global solar radiation models for Nigeria

This study assessed the performance of six solar radiation models. The objective was to determine the most accurate model for estimating global solar radiation on a horizontal surface in Nigeria. Twenty-two years meteorological data sets collected from the Nigerian Meteorological agency and the National Aeronautics and Space Administration for the three regions, covering the entire climatic zones in Nigeria were utilized for calibrating and validating the selected models for Nigeria. The accuracy and applicability of various models were determined for three locations (Abuja, Benin City, and Sokoto), which spread across Nigeria using seven viable statistical indices. This study found that the estimation results of considered models are statistically significant at the 95% confidence level, but their accuracy varies from one location to another. However, the multivariable regression relationship deduced in terms of sunshine ratio, air temperature ratio, maximum air temperature, and cloudiness performs better than other relationships. The multivariable relationship has the least root mean square error and mean absolute bias error, not exceeding 1.0854 and 0.8160 MJ m^?2 day^?1, respectively, and monthly relative percentage error in the range of ± 12% for the study areas.     

Use of artificial roughness for performance enhancement of solar air heaters—a review

The performance characteristics of a solar air heater can effectively be improved by providing artificial roughness in the form of protrusions and dimples of various shapes, sizes, and orientations on the underside of heated surface. An extensive literature review on artificial roughness elements has been carried and the correlations developed for heat transfer and friction factor for roughened solar air collector have been discussed and presented in this paper. The performance parameter has also been computed and compared with various kinds and shapes of roughness geometries using correlations developed by various investigators. The optimum values of the roughness parameters obtained by several investigators have also been discussed.