太阳能驱动的一体化设备在农村污水处理中的应用

以太湖流域环境敏感区内某村为例,介绍了太阳能驱动的污水处理一体化设备对农村生活污水处理的应用。连续6个月的运行及监测数据表明,污水处理实际消耗电量与光伏发电量比值为54.3%,能够有效地保证污水处理所需动力。污水处理部分采用A/O-BF一体化技术,生活污水经处理以后,出水水质达到GB 18918-2002《城镇污水处理厂污染物排放标准》中一级A标准。太阳能驱动的污水处理一体化设备运行稳定、故障率低、无需投加药剂且无运行费用,适宜在太湖流域的农村地区推广应用。     

基于分形维数的斜坡非饱和带土体大孔隙分布研究

对取自于云南省昭通市头寨滑坡滑源区附近的两个大尺度(25cm×25cm×50cm)土柱样品进行CT扫描,选取典型剖面切片,通过CT值范围将大孔隙分离从而研究土体中的大孔隙分布;计算大孔隙分布分维数(盒维数),研究其大孔隙的不规则特征,结果表明:土体中大孔隙的盒维数随深度增加呈单调递减规律,且与大孔隙度具有显著正相关关系;但大孔隙度只能表征在某一深度上大孔隙的分布多少,而大孔隙的不规则特征则需盒维数表征;最后得到大孔隙的累积大孔隙度与大孔隙孔径(在盒维数为常数时)符合幂函数规律,研究结果有利于利用分形理论建立大孔隙模型,从而研究水分在大孔隙中运动过程。     

降雨对城市草坪温室气体源汇效应的影响

利用静态箱法研究了夏季降雨对上海市城市草坪温室气体排放的影响,结果表明,晴天上海市城市草坪是N_2O和CO_2的源,CH_4的汇;降雨会削弱N_2O和CO_2排放,使得草坪由CH_4的汇转变为排放源。N_2O通量在晴天和雨后分别为1.37±3.47和1.06±2.67μmol/(m2·h),CO_2通量在晴天和雨后分别为13.33±8.59和6.46±2.61mmol/(m~2·h),CH_4通量在晴天和降雨后分别为-0.08±3.77和0.22±6.27μmol/(m~2·h)。明暗箱对比实验显示,草坪生态系统能有效缓解土壤对大气N_2O和CO_2的贡献。N_2O和CO_2通量与光合有效辐射和温度呈显著负相关(p0.01),CH_4和二者相关性不显著。降雨通过降低光合作用和温度,间接削弱城市草坪CO_2和N_2O的排放。降雨可能通过提高含水率抑制城市草坪对CH_4的吸收,促进其排放。     

生态环境保护与农业可持续发展研究

针对生态环境保护与农业可持续发展问题,探讨了生态环境对农业可持续发展的影响,包括陕西省农业资源的现状、陕西省农业生态环境恶化、生态系统功能遭到破坏和由于生态环境恶化使自然灾害发生,探讨了保护生态环境与促进农业可持续发展,内容包括要积极保护生态环境促进农业可持续发展、要积极保护农业资源促进农业可持续发展、要积极发展现代农业科技促进农业可持续发展和要积极宣传生态环境保护促进农业可持续发展.     

海南省废弃物处理温室气体排放估算研究

废弃物处理所释放的甲烷、二氧化碳和氧化亚氮是温室气体排放估算的组成部分之一.通过对海南省废弃物处理固体废弃物填埋、焚烧、生活污水以及工业废水过程中温室气体排放的估算,得出废弃物处理温室气体排放清单.2010年海南省城市废弃物处理温室气体排放以CO2当量计算总量为65.79万吨,同时进行了不确定性分析,不确定性约为30％,并提出拟采取的降低不确定性措施,为今后不断完善废弃物处理温室气体排放清单编制提供依据.     

固相膜萃取-气相色谱法测定地表水中有机氯农药研究

研究了固相膜萃取对地表水中有机氯农药(OCPs)物质的提取效果,并与液液提取法(LLE)进行比较.建立了固相膜萃取/气相色谱法检测地表水中20种有机氯农药的方法.结果表明:当萃取膜为HLB膜,洗脱液溶剂为丙酮和正己烷,萃取效果最理想,20种OCPs的回收率稳定在74.1%~94.3%之间,固相膜萃取法与传统液液提取法相比,既提高了萃取效率同时又减少了有机萃取溶剂的用量.该法检测实际样品时,同时加入2种内标指示剂对方法的性能进行了验证,2种内标示踪剂的回收率分别为71.6%~94.8%和69.9%~109.5%,样品中20种OCPs均未检出.     

HNO_3在气相及SiO_2表面的紫外光解反应

利用紫外及红外吸收光谱等分析手段对365 nm光照下HNO3在气相与SiO2表面的光解反应进行了研究.考察了HNO3浓度、光照时间、相对湿度等条件对反应的影响.结果表明:随着HNO3浓度及光照时间的增加,光解产生的NO2和NO浓度均呈指数增加;无水汽情况下,400 Pa的HNO3光解45 min后,产生NO2及NO浓度比气相光解产生的分别高约3及1.7倍.HNO3光解产生的HONO的浓度随相对湿度的增加而呈线性增加,在SiO2颗粒物表面光解产生的NO2浓度随着相对湿度的增加而减少,而NO浓度则随之增大.400 Pa的HNO3光照45 min后,SiO2表面光解产生的HONO浓度是气相光解的3倍、SiO2表面暗反应的约30倍.     

基于放射性碳分析的多环芳烃源解析:技术进展和准确性评估

化石燃料燃烧和生物质燃烧是污染物多环芳烃(polycyclic aromatic hydrocarbon,PAHs)的两大来源.放射性碳(14C)分析近年用于评估这两类源对环境中PAHs的相对贡献.此方法基于化石燃料和生物质的14C含量差异,即化石燃料不含14C,而生物质的14C浓度有一个较稳定值.14C的自然丰度极低(约10-12),因此检测PAHs这样的痕量污染物的14C含量一度极具挑战.1990年代中期,加速器质谱的技术突破使得对环境样品PAHs的14C分析具有实用价值.要准确测出PAHs的14C含量,须先从化学成分复杂的环境样品中分离出高纯度的PAHs.制备气相色谱因其出色的分离能力而成为目前环境样品PAHs14C分析必备的工具.本文意在简介基于14C分析的PAHs源解析的基本原理、技术进展,以及评估该方法获得的PAHs源解析结果的准确性.     

CFD-based assessment and visualization of the failure consequences of LPG tankers

This paper presents a simulation analysis of the explosions following an LPG leak and visualizes the consequences of the accident to reduce the consequences of the LPG leak explosion. Firstly, this paper proposes a CFD numerical simulation-based method for visualizing the consequences of LPG tanker failure. The method combines satellite maps and CFD numerical simulation data to visualize the consequences of LPG leaks and explosions, taking into account the influence of obstacles on the danger range of leaks and explosions; Secondly, this paper applies the method to a liquefied petroleum gas accident that occurred in the Wenling section of the Shenhai Expressway and performs CFD numerical simulation on the accident process and visualizes the consequences of the accident. Therefore, this method can provide a theoretical reference for the prior prevention of LPG accidents and the analysis of the consequences of accidents, as well as certain practical guidance instructive.     

An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents

Natural gas pipeline construction is developing rapidly worldwide to meet the needs of international and domestic energy transportation. Meanwhile, leakage accidents occur to natural gas pipelines frequently due to mechanical failure, personal operation errors, etc., and induce huge economic property loss, environmental damages, and even casualties. However, few models have been developed to describe the evolution process of natural gas pipeline leakage accidents (NGPLA) and assess their corresponding consequences and influencing factors quantitatively. Therefore, this study aims to propose a comprehensive risk analysis model, named EDIB (ET-DEMATEL-ISM-BN) model, which can be employed to analyze the accident evolution process of NGPLA and conduct probabilistic risk assessments of NGPLA with the consideration of multiple influencing factors. In the proposed integrated model, event tree analysis (ET) is employed to analyze the evolution process of NGPLA before the influencing factors of accident evolution can be identified with the help of accident reports. Then, the combination of DEMATEL (Decision-making Trial and Evaluation Laboratory) and ISM (Interpretative Structural Modeling) is used to determine the relationship among accident evolution events of NGPLA and obtain a hierarchical network, which can be employed to support the construction of a Bayesian network (BN) model. The prior conditional probabilities of the BN model were determined based on the data analysis of 773 accident reports or expert judgment with the help of the Dempster-Shafer evidence theory. Finally, the developed BN model was used to conduct accident evolution scenario analysis and influencing factor sensitivity analysis with respect to secondary accidents (fire, vapor cloud explosion, and asphyxia or poisoning). The results show that ignition is the most critical influencing factor leading to secondary accidents. The occurrence time and occurrence location of NGPLA mainly affect the efficiency of emergency response and further influence the accident consequence. Meanwhile, the weight ranking of economic loss, environmental influence, and casualties on social influence is determined with respect to NGPLAs.