基于循环经济的煤矿环境评价指标体系

基于循环经济理论和煤矿开采中环境系统的演化规律.从资源循环与资源损失正反两个方面构建了煤矿区环境评估指标体系.指标体系分为目标层、指标类别层和单项指标层3个层次,单项指标层是具体舒化指标.由它直接计算指标类别层的值,进而计算目标层的评估结果.将此指标体系运用到重庆市某县煤矿,对该县近年来煤矿资源开发中环境可持续能力进行了计算和分析,评价结果与实际情况相符,揭示了该县煤矿开发中环境可持续能力提高的关键因素,进一步探讨了煤矿开发中环境能力提高和循环经济理念的实施建议.     

基于协整和因果分析的我国安全生产宏观政策干预研究

为进一步分析我国安全生产政策的实施效果及存在问题,根据政策时效干预度量化模型,采用协检验、格兰杰因果检验和脉冲响应分析等计量方法对1978-2006年我国特别重大事故发生趋势与政策时效干预力度关系进行量化分析,得出特别重人事故的发生与政策时效干预力度问存在长期均衡关系,且在10%的显著水平下,特别重大事故的发生是政策时效干预力度加强的格兰杰原因.同时分析表明,目前我国安全生产政策干预表现出两大缺点:被动性和滞后性.因此,应逐步开展生产安全事故宏观预警与政策模拟等研究,为提高安全生产宏观政策干预的主动性和前瞻性提供技术支持.     

基于状态监测的井喷风险动态安全评价

井喷是钻井作业引发的最严重事故之一.通过分析钻井作业过程各个环节,确定钻井过程的风险因素和指标因素,实时监测钻井作业各参数变化,利用模糊综合层次评价法计算出钻井过程井喷风险概率,实现井喷事故动态风险评价.给出了模糊综合评价法的具体步骤,基于该方法还开发了井喷动态安全评价软件,为钻井过程中钻井液参数和钻井工程参数的优选、调整提供理论依据,同时也为钻井过程的安全生产和管理提供了参考依据.     

固定化生物活性炭纤维处理洗浴废水的研究

采用混凝-砂滤-固定化生物活性炭纤维的组合处理工艺来处理洗浴废水.利用聚合氯化铝和聚丙烯酰胺为混凝剂对废水进行混凝处理,之后将废水通入砂滤柱,废水在曝气池进行曝气后进入固定化生物活性炭纤维(IBACF)单元.IBACF固定化完成后,连续运行30 d,去除率稳定之后,处理后的浊度、LAS、S0D_(Mn)平均值分别为2.2NTU、0.12 mg·L~(-1)、2.33 mg·L~(-1),平均去除率分别为95.2%、94.7%、84.8%.经处理后的洗浴废水各项指标均可以达到生活饮用水卫生标准或城市供水水质标准,可以直接回用于洗浴用水和其他生活杂用水.     

基于可拓学石化装置失效后果严重度评估方法研究

石化企业中,石化装置的安全运行对保证企业的安全生产起到关键作用,其一旦失效发生事故,将导致巨大的人员伤亡及财产损失。因此,开展石化装置失效后果严重性的评价研究,对保证石化企业的安全生产具有重要意义。本文根据物元可拓性理论,结合石化装置失效后果的严重性情况,运用可拓评判方法建立石化装置失效后果严重度的综合评判模型,给出了评价步骤,最终确定设备失效后果的严重程度。研究结果表明,该方法可应用于多层次的工程风险评价问题,从而为石化工程项目风险管理提供了一种有效的分析方法。     

上海隧桥工程海域生态系统健康的初步评价

随着上海经济的快速发展,一些大型海洋工程在上海海域纷纷兴建,造成了生境破碎化、生物多样性的破坏等一系列的生态损害。在分析海洋工程可能造成生态损害的同时,以上海长江口隧桥工程为例,选择2007年春季和秋季的2次生态调查数据进行研究。架桥阶段结束后,综合分析了春季与秋季的调查数据,发现各项指标均有偏向于不利的趋势。基于结构功能指标体系评价法,并利用层次分析法研究后得出上海长江口隧桥工程附近海域的综合健康指数分别为2043和2166。根据CHI≤3的情况下判断,该海域的生态健康状况属于不健康接近亚健康状态,表明河口生态系统自然属性发生明显改变,生物多样性及生态系统结构发生了一定程度的变化,主要生态服务功能出现退化或丧失。针对遭遇海洋工程破坏的生境,需要进行更多、更长时间的人工干预,并提出有效的生态保护和修复对策。     

鄱阳湖湿地土壤-植物-地下水稳定氧同位素组成分析

近年来,鄱阳湖水位持续走低,极端干旱事件频繁发生,湿地生态系统结构与功能遭受破坏。为此,于2014年鄱阳湖湿地保护区两个断面分层采集0~100 cm土壤,并采集优势种植物和河湖水以及地下水数据,运用稳定同位素技术,分析了土壤-植物-河湖水-地下水稳定同位素变化特征,并探寻它们之间的补给关系。结果表明,两断面土壤水氧同位素变化范围分别为–10.48‰~–5.23‰和–12.39‰~–6.55‰,算术平均值分别为–8.36‰和–8.63‰。断面一表层(0~30 cm)土壤水氧重同位素较富集,且随深度增加而减小;断面二表层(0~40 cm)土壤水中氧同位素组成基本无变化。断面一的地下水主要是受降水补给,断面二可能是受降水和河湖水共同补给。鄱阳湖湿地两断面优势种植物虉草叶片水的氧同位素值最大,为–0.9‰,其次是灰化苔草和芦苇,分别为–4.23‰和–5.25‰。     

Characterizing Drought in Irrigated Agricultural Systems: The Surface Water Delivery Index (SWDI)

Quantifying surface water shortages in arid and semiarid agricultural regions is challenging because limited water supplies are distributed over long distances based on complex water management systems constrained by legal, economic, and social frameworks that evolve with time. In such regions, the water supply is often derived in a climate dramatically different from where the water is diverted to meet agricultural demand. The existing drought indices which rely on local climate do not portray the complexities of the economic and legal constraints on water delivery. Nor do these indices quantify the shortages that occur in drought. Therefore, this research proposes a methodological approach to define surface water shortages in irrigated agricultural systems using a newly developed index termed the Surface Water Delivery Index (SWDI). The SWDI can be used to uniformly quantify surface water deficits/shortages at the end of the irrigation season. Results from the SWDI clearly illustrate how water shortages in droughts identified by the existing indices (e.g., SPI and PDSI) vary strongly both within and between basins. Some surface water entities are much more prone to water shortages than other entities based both on their source of water supply and water right portfolios.     

Coupling of the Water Cycle with Patterns of Urban Growth in the Baltimore Metropolitan Region,United States

Regional municipal water plans typically do not recognize complex coupling patterns or that increased withdrawals in one location can result in changes in water availability in others. We investigated the interaction between urban growth and water availability in the Baltimore metropolitan region where urban growth has occurred beyond the reaches of municipal water systems into areas that rely on wells in low‐productivity Piedmont aquifers. We used the urban growth model SLEUTH and the hydrologic model ParFlow.CLM to evaluate this interaction with urban growth scenarios in 2007 and 2030. We found decreasing groundwater availability outside of the municipal water service area. Within the municipal service area we found zones of increasing storage resulting from increased urban growth, where reduced vegetation cover dominated the effect of urbanization on the hydrologic cycle. We also found areas of decreasing storage, where expanding impervious surfaces played a larger role. Although the magnitude of urban growth and change in water availability for the simulation period were generally small, there was considerable spatial heterogeneity of changes in subsurface storage. This suggests that there are locally concentrated areas of groundwater sensitivity to urban growth where water shortages could occur or where drying up of headwater streams would be more likely. The simulation approach presented here could be used to identify early warning indicators of future risk.     

Evaluating the impact of uncertainty and variability on the value chain optimization of a forest biomass power plant using Monte Carlo Simulation

Mathematical programming models have been used to optimize the design and management of forest bioenergy supply chains. A deterministic mathematical model is beneficial for making optimum decisions; however, its applicability to real-world problems may be limited because it does not capture all the complexities, including uncertainties in the parameters, in the supply chain. In this paper, a combination of Monte Carlo Simulation and optimization model is used to evaluate the impact of uncertainty in biomass quality, availability and cost, and electricity prices on the supply chain of a forest biomass power plant. The optimization model is a deterministic mixed integer non-linear model with monthly time steps over a 1-year planning horizon. Variability in biomass quality, i.e. moisture content (MC) and higher heating value (HHV), based on the historical data of a real case study is studied in detail and fitted probability distributions are used in the model, while for electricity prices different scenarios are considered. The results show that the impact of variability in the MC on profit is higher than that of uncertainty in HHV. It is observed that the annual profit ranges between $13.3 million and $17.9 million in the presence of all possible uncertainties while its average is $15.5 million. Uncertainty in biomass availability and cost and electricity price results in the risks of having annual profit of less than $14 million and low monthly storage levels.