化肥过度使用所导致的农业面源污染立法思考

农业面源污染已成为当今世界各国环境污染治理最棘手的难题之一。通过分析无机化肥与面源污染两者之间的关系,以及一些发达国家在农业面源污染方面的法制状况,提出我国应在法律制度层面规范化肥的使用,出台一部化肥综合性立法及完善现有的水资源立法,对缓解我国农业面源污染的严峻局面意义重大。     

石油化工企业安全距离确定方法综述

对"专家判断"法、确定性分析方法、基于风险(Risk-based)的方法和风险指引(Risk-informed)方法等安全距离确定方法的发展运用、分析流程、关键要素、优缺点等进行探讨。建议关注确定性分析方法和风险方法研究。对确定性分析方法,建议加强石油化工企业可信事故场景和伤害标准的研究;对基于风险的方法,建议加大风险指引方法的研究,并制定合理的石油化工企业风险标准,以便采取更加科学合理的方法来制定石油化工企业的安全距离。     

A land use regression model incorporating data on industrial point source pollution

Advancing the understanding of the spatial aspects of air pollution in the city regional environment is an area where improved methods can be of great benefit to exposure assessment and policy support. We created land use regression (LUR) models for SO₂, NO₂ and PM₁₀ for Tianjin, China. Traffic volumes, road networks, land use data, population density, meteorological conditions, physical conditions and satellite-derived greenness, brightness and wetness were used for predicting SO₂, NO₂ and PM₁₀ concentrations. We incorporated data on industrial point sources to improve LUR model performance. In order to consider the impact of different sources, we calculated the PSIndex, LSIndex and area of different land use types (agricultural land, industrial land, commercial land, residential land, green space and water area) within different buffer radii (1 to 20 km). This method makes up for the lack of consideration of source impact based on the LUR model. Remote sensing-derived variables were significantly correlated with gaseous pollutant concentrations such as SO₂ and NO₂. R² values of the multiple linear regression equations for SO₂, NO₂ and PM₁₀ were 0.78, 0.89 and 0.84, respectively, and the RMSE values were 0.32, 0.18 and 0.21, respectively. Model predictions at validation monitoring sites went well with predictions generally within 15% of measured values. Compared to the relationship between dependent variables and simple variables (such as traffic variables or meteorological condition variables), the relationship between dependent variables and integrated variables was more consistent with a linear relationship. Such integration has a discernable influence on both the overall model prediction and health effects assessment on the spatial distribution of air pollution in the city region.     

湿地自然保护区生态恢复及其绿色开发探析——以七里海湿地国家级自然保护区为例

七里海湿地是我国国家级自然保护区,世界著名三大古海岸之一。近几十年出现了严重的生态危机,本文借鉴众多湿地保护与开发经验,就七里海湿地生态恢复与绿色开发利用提出了一些可行的措施：依据自然保护区的相关法律法规对其进行切实保护与管理,通过恢复河流生态补水、翻耕苇地、禁捕鸟类等生态修复措施恢复其生态功能,进而发展湿地绿色产业、开展项目建设环评等绿色开发活动发挥其重要的生态、经济和社会价值。     

新农村建设试点村与对照村生态文明意识探析——以山东省为例

文章采用问卷调查法对山东省农村生态文明意识进行了调查,在此基础上对比分析了新农村建设试点村与普通对照村村民的生态文明意识差异。结果表明山东省新农村建设在提高村民的生态文明意识方面有所成效。但两种村都还有进一步提高生态文明意识的余地,对照村需要借鉴试点村所取得的经验成果;试点村仍需要进一步加大宣传教育力度、实施环保意识教育、开展实践体验活动。     

Distributions and sources of n-alkanes in PM2:5 at urban, industrial and coastal sites in Tianjin, China

Aliphatic hydrocarbons (n-alkanes) associated with fine particulate matter were determined in the ambient air of urban, industrial and coastal areas in Tianjin, China, where intensive coal burning for industrial and domestic purpose takes place. n-Alkane homologues from C12 to C35 were quantifiable in all samples with C20–C31 being the most abundant species. Average concentrations of the total n-alkanes were 148.7, 250.1 and 842.0 ng/m3 in July, April and January, respectively. Seasonal variations were mainly attributed to ambient temperature changes and coal combustion for residential heating. Among the three studied areas, the highest levels of n-alkanes were observed in the industrial complex in winter and spring, but in summer the coastal alkane concentration moved up to the highest. A mono-modal distribution for n-alkanes was observed in spring and summer with odd carbon number predominance and a maximum centered at C27–C31, suggesting the release of plant wax into the atmosphere. The bimodal distribution with maxima at C22 and C26 observed in winter indicated a substantial influence of fossil fuel sources. All the CPIs (CPI1, CPI2, CPI3) values, varying between 0.64 and 1.97, indicated the influence of anthropogenic emissions on fine organic aerosols. The estimated contributions of plant wax to total n-alkanes were on average of 12.9%, 19.1% and 26.1% for winter, spring and summer, respectively.     

A land use regression for predicting NO2 and PM10 concentrations in di erent seasons in Tianjin region, China

Land use regression (LUR) model was employed to predict the spatial concentration distribution of NO2 and PM10 in the Tianjin region based on the environmental air quality monitoring data. Four multiple linear regression (MLR) equations were established based on the most significant variables for NO2 in heating season (R2 = 0.74), and non-heating season (R2 = 0.61) in the whole study area; and PM10 in heating season (R2 = 0.72), and non-heating season (R2 = 0.49). Maps of spatial concentration distribution for NO2 and PM10 were obtained based on the MLR equations (resolution is 10 km). Intercepts of MLR equations were 0.050 (NO2, heating season), 0.035 (NO2, non-heating season), 0.068 (PM10, heating season), and 0.092 (PM10, non-heating season) in the whole study area. In the central area of Tianjin region, the intercepts were 0.042 (NO2, heating season), 0.043 (NO2, non-heating season), 0.087 (PM10, heating season), and 0.096 (PM10, non-heating season). These intercept values might imply an area’s background concentrations. Predicted result derived from LUR model in the central area was better than that in the whole study area. R2 values increased 0.09 (heating season) and 0.18 (non-heating season) for NO2, and 0.08 (heating season) and 0.04 (non-heating season) for PM10. In terms of R2, LUR model performed more e ectively in heating season than non-heating season in the study area and gave a better result for NO2 compared with PM10.     

基于HAZOP的保护层分析技术研究

介绍了“基于HAZOP的保护层分析技术”的工艺安全管理新模式。在此基础上,利用该方法对水煤浆气化装置进行了分析,识别出了装置存在的重大工艺危险,提出对策建议,对整个装置重大工艺安全事故的预防提供了有力的技术支持。     

基于GIS的中秦岭地区滑坡灾害易发性研究

本文以中秦岭地区为滑坡易发性评价对象,针对研究区的情况,选取了坡度、起伏度、地貌类型、岩性、土壤侵蚀强度、活动断裂距、地震动参数、地下水类型、多年平均降雨量9个评价因子,建立了研究区滑坡易发性评价的数据库。运用单因子概率比率模型对各因子和滑坡的相关性进行了评价,揭示了该区滑坡灾害类型特点及空间分布规律,明确了中秦岭地区滑坡地质灾害的极高易发、高易发三大聚集地区的位置。     

5·12汶川地震后陇南山区典型滑坡调查分析

本文以甘肃省北峪河流域的三家地滑坡、红土坡滑坡、曾家街滑坡作为主要研究对象,通过对上述三个典型滑坡的野外实地测量,结合对当地民众的走访以及在当地政府部门获取的相关数据,归纳分析得出该地区滑坡灾害的主要诱发因素,及其给人们带来的影响。