采油作业区节能减排探索与实践

H作业区经过对节能减排中问题的总结,实施了哈得四联合站放空气回收轻烃外输、哈得一联合站二段气回收、污水闭路循环回收利用、淡化水流程优化等节能减排工程,促进了节能减排,减少了碳排放,实现了清洁生产,取得了较好的经济效益和环境效益。     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

区域农业循环经济发展评价及其优化调控——以扬州市邗江区为例

从经济发展、社会发展、资源减量投入、资源循环利用、资源环境安全5个方面构建评价指标体系,对2001～2005年邗江区的农业循环经济发展状况进行综合评价,并通过制约度计算,对限制邗江区农业循环经济发展的因素进行识别,研究结果表明：2002-2005年邗江区农业循环经济发展的主要制约因素是资源循环利用。进而探讨当前邗江区现代农业循环经济发展的优化调控建议。     

新疆某伴生放射性钒矿氡浓度水平调查及防治措施的探讨

在伴生矿的勘探、开采过程中,如果井下工作场所通风不足,矿石、土壤和岩石等所释放的氡气会造成局部的放射性污染,因此了解伴生矿矿井中氡气的水平并探讨有效的防护措施是非常必要的。本文就新疆某矾矿在矿井建设初期和通风设施建成后两时间段的氡浓度水平及防治措施进行探讨,并提出相应的防护措施和建议。     

大气环境质量综合评价加权灰色关联模型的建立与应用

利用灰色理论建立大气环境质量综合评价加权灰色关联模型 ,运用污染贡献率确定权重系数。与其它评价模型相比 ,加权灰色关联模型还具有排序功能 ,实例表明该模型是简便有效的     

Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology

IntroductionAnalyzing key factors of motorcycle accidents is an effective method to reduce fatalities and improve road safety. Association Rule Mining (ARM) is an efficient data mining method to identify critical factors associated with injury severity. However, the existing studies have some limitations in applying ARM: (a) Most studies determined parameter thresholds of ARM subjectively, which lacks objectiveness and efficiency; (b) Most studies only listed rules with high parameter thresholds, while lacking in-depth analysis of multiple-item rules. Besides, the existing studies seldom conducted a spatial analysis of motorcycle accidents, which can provide intuitive suggestions for policymakers. Method: To address these limitations, this study proposes an ARM-based framework to identify critical factors related to motorcycle injury severity. A method for parameter optimization is proposed to objectively determine parameter thresholds in ARM. A method of factor extraction is proposed to identify individual key factors from 2-item rules and boosting factors from multiple-item rules. Geographic information system (GIS) is adopted to explore the spatial relationship between key factors and motorcycle injury severity. Results and conclusions: The framework is applied to a case study of motorcycle accidents in Victoria, Australia. Fifteen attributes are selected after data preprocessing. 0.03 and 0.7 are determined as the best thresholds of support and confidence in ARM. Five individual key factors and four boosting factors are identified to be related to fatal injury. Spatial analysis is conducted by GIS to present hot spots of motorcycle accidents. The proposed framework has been validated to have better performance on parameter optimization and rule analysis in ARM. Practical applications: The hot spots of motorcycle accidents related to fatal factors are presented in GIS maps. Policymakers can refer to those maps straightforwardly when decision making. This framework can be applied to various kinds of traffic accidents to improve the performance of severity analysis.     

浅谈绿色生态住宅供需双方应注意的问题

介绍了绿色生态住宅理念的提出背景、绿色生态住宅所遵循的战略及其内涵,指出绿色生态住宅的核心是遵循住宅可持续发展战略.一方面,重点从环境规划设计、室内环境质量、小区水环境、材料与资源及建筑节能等6个方面论述了开发商在开发建设绿色生态住宅时应达到的技术和标准,以规范绿色生态住宅的开发与建设;另一方面,提醒消费者在购买绿色生态住宅时应着重考虑日照时间、空气湿度、主导风向和空气质量等气象因素及环境要素.     

四川盆地沉积岩矿复杂矿物定名微机处理程序

岩石化学成分计算及矿物定名是一项复杂的劳动 ,过去都是手工计算 ,劳动强度大 ,准确率低。为了解决这一问题 ,利用Basic语言编写了RNCAC微机处理程序 ,对四川盆地沉积岩成分进行了计算 ,并对复杂矿物进行了定名。经手工检验 ,该程序计算准确率高 ,计算迅速 ,可以有效提高工作效率 ,减轻劳动强度。     

辽宁海洋经济持续发展与海洋生态环境保护

海洋经济正在成为世界各沿海国家国民经济新的增长点。本文分析了辽宁发展海洋经济的巨大潜力和优势 ,探讨了发展海洋经济存在的制约因素 ,提出了保护海洋环境实现海洋经济可持续发展的相应对策