The Water Fluxes of the Yellow River to the Sea in the Past 50 Years, in Response to Climate Change and Human Activities

Since the 1970s, the water fluxes to the sea of the Yellow River have declined significantly. Based on data of precipitation, air temperature, the measured and “natural” river flow, the water diversion and consumption, and the areas of erosion and sediment control measures over the drainage basin, water fluxes to the sea of the Yellow River are studied in relation with the influences of changing climate and human activities. The Yellow River basin can be divided into different water source areas; multiple regression indicates that the variation in precipitation over different water source areas has different effect on water fluxes to the sea. In the period between 1970 and 1997, averaged air temperature over the whole Yellow River increased by about 1.0°C, from 16.5°C to 17.5°C, a factor that is negatively correlated with the water yield of the Yellow River. Water diversion and consumption has sharply increased and resulted in a significant decline in the water fluxes to the sea. Since the 1960s, erosion and sediment control measures have been practiced over the drainage basin. This factor, to a lesser degree, is also responsible for the decrease in water fluxes to the sea. A multiple regression equation has been established to estimate the change in water fluxes to the sea caused by the changes in precipitation, air temperature, water diversion and consumption, erosion, and sediment control measures, indicating that the contribution of water diversion and consumption to the variation in annual water flux to the sea is 41.3%, that of precipitation is 40.8%, that of temperature is 11.4%, and that of erosion and sediment control measures is 6.5%.     

The Value of Using Feasibility Models in Systematic Conservation Planning to Predict Landholder Management Uptake

Understanding the social dimensions of conservation opportunity is crucial for conservation planning in multiple‐use landscapes. However, factors that influence the feasibility of implementing conservation actions, such as the history of landscape management, and landholders’ willingness to engage are often difficult or time consuming to quantify and rarely incorporated into planning. We examined how conservation agencies could reduce costs of acquiring such data by developing predictive models of management feasibility parameterized with social and biophysical factors likely to influence landholders’ decisions to engage in management. To test the utility of our best‐supported model, we developed 4 alternative investment scenarios based on different input data for conservation planning: social data only; biological data only; potential conservation opportunity derived from modeled feasibility that incurs no social data collection costs; and existing conservation opportunity derived from feasibility data that incurred collection costs. Using spatially explicit information on biodiversity values, feasibility, and management costs, we prioritized locations in southwest Australia to control an invasive predator that is detrimental to both agriculture and natural ecosystems: the red fox (Vulpes vulpes). When social data collection costs were moderate to high, the most cost‐effective investment scenario resulted from a predictive model of feasibility. Combining empirical feasibility data with biological data was more cost‐effective for prioritizing management when social data collection costs were low (<4% of the total budget). Calls for more data to inform conservation planning should take into account the costs and benefits of collecting and using social data to ensure that limited funding for conservation is spent in the most cost‐efficient and effective manner.     

华北地区乡村站点(曲周)夏季PM2.5中二次无机组分的生成机制与来源解析

利用大气PM2.5水溶性组分及其气态前体物在线测量系统(GAC-IC)于2014年6月9日~7月11日对华北地区乡村站点曲周大气PM2.5中水溶性组分及其气态前体物进行了在线测量,分析了PM2.5中水溶性组分与气态前体物日变化规律及其相互作用,探讨了当地细颗粒物的气粒转化机制并分析了其来源.结果表明夏季曲周大气PM2.5中水溶性无机离子与相关气态前体物的浓度呈现明显的日变化规律.观测期间,PM2.5中SO2-4、NH+4和NO-3的平均浓度分别是26.28、18.08和16.36μg·m-3,是PM2.5中最主要的水溶性无机离子,约占PM2.5质量浓度的76.23%;气态前体物中,NH3浓度明显偏高、平均值为44.85μg·m-3,主要来源于当地的农业活动排放;硫氧化率(SOR)和氮氧化率(NOR)平均值分别是0.60和0.30,表现出明显的二次污染特征.经相关性分析发现:曲周大气PM2.5中NH+4与NO-3、SO2-4有良好的相关性,且表现为富氨状态,NH+4以(NH4)2SO4形式存在,NO-3的生成主要受HNO3的限制.对NH4NO3平衡进行研究发现:与夜间相反,白天曲周大气环境不利于NH4NO3生成和保持.结果也表明,二次转化是曲周夏季细颗粒物的主要来源,堆肥与农田释放的NH3是导致高浓度二次无机颗粒物(SNA)的重要因素.     

分子生物学技术在水处理中的应用研究进展

利用现代分子生物学技术对微生物进行分析和研究,以解决传统微生物分析成本高、速度慢、准确度较低和灵敏度较差等缺点。介绍分子生物学技术在水处理中的应用现状,并对未来发展方向提出建议。目前分子生物学技术在供水工程中主要用于水中细菌、病毒、原生动物、蠕虫等病原微生物的快速检测以及管网微生物种群的分析,在污水处理中主要用于脱氮除磷过程菌群数量和空间分布的剖析、污泥膨胀成因分析以及监测微生物种群多样性来优化处理工艺。分子生物学技术的深入研究将进一步促进水行业的发展。     

煤制烯烃废水处理与回用技术解析

针对煤制烯烃项目废水的来源及水质特点,从生化处理技术与回用处理技术方面阐述了煤制烯烃废水处理现状及存在问题,展望了煤制烯烃废水处理与回用技术未来发展方向,指出了新型脱氮工艺、膜集成工艺及分质结晶技术在煤制烯烃废水处理中的可行性,为煤化工废水处理与资源化利用提供理论参考。     

Predicting vehicle fuel consumption patterns using floating vehicle data

The status of energy consumption and air pollution in China is serious. It is important to analyze and predict the different fuel consumption of various types of vehicles under different influence factors. In order to fully describe the relationship between fuel consumption and the impact factors, massive amounts of floating vehicle data were used. The fuel consumption pattern and congestion pattern based on large samples of historical floating vehicle data were explored, drivers'' information and vehicles'' parameters from different group classification were probed, and the average velocity and average fuel consumption in the temporal dimension and spatial dimension were analyzed respectively. The fuel consumption forecasting model was established by using a Back Propagation Neural Network. Part of the sample set was used to train the forecasting model and the remaining part of the sample set was used as input to the forecasting model.     

航空装备外场级平均修复时间评估研究

目的探索航空装备部队使用保障阶段维修性指标评估的实施方法。方法构建航空装备外场级平均修复时间评估指标体系,包括评估条件界定、统计准则确定、数据处理方法、评估流程、使用表格等,并结合具体机型进行评价应用。结果该机型飞机整机的累计修复时间为138.5 h,平均修复时间Mct=2.17 h,满足不大于3 h指标要求。结论评估方法系统科学,可为各类装备开展相关维修性评估工作提供方法支持和工程借鉴。     

河北平原潮土中微生物对氮降解特征

了解土壤中微生物对氮素降解规律,对于土壤氮污染修复具有重要现实意义.从河北平原潮土中筛选出8种高效氨化细菌、硝化细菌、异养硝化好氧反硝化细菌,对所筛菌种进行16S r DNA分析,选出最适菌株通过固定化载体将菌种制成菌剂.探讨了用加入所筛菌种及拮抗菌的菌液和地表水分别滴灌小白菜对土壤中的氮降解产生的影响,并测定土样磷脂脂肪酸(PLFA)的值.结果表明:以硅藻土为载体硝化细菌的氨氮降解率达到38%,硝态氮合成率为205%;以硅藻土为载体的氨化细菌氨氮合成率为1 711%,异养硝化好氧反硝化细菌的硝态氮降解率达到367%.加所筛菌液滴灌对土壤总氮和氨氮的降解效果较好,硝化作用也较强,加菌后土壤中微生物量明显增加,且更快到达峰值.对不同土样不同时间磷脂脂肪酸数据分析发现,在白菜生长过程中,土壤中的微生物含量均产生了1次峰值,且加入所筛菌的先到达峰值.对于任丘和阜城土样来说,加入所筛菌后,土壤中微生物种类相应增多,对土壤微生物环境有所改善,微生物也比较活跃.     

等标污染负荷法评价炼油污水污染源及分质治理

应用等标污染负荷法,以GB8978-1996一级标准作为评价标准,对某炼化企业各生产装置所排污水进行评价,分析主要污染源排污口和主要污染物,并提出分质治理建议。     

适应气候变化是当务之急

地球气候变化既有自然因素又有人为因素,全球变暖主要原因是人类活动温室气体排放过度。因此,在应对气候变化问题上,人们对减排温室气高度重视是理所当然,而长期以来对＂适应气候变化＂却有所忽视。其实,对发展中国家《适应气候变化》才是当务之急。本文在＂发展低碳经济,应对全球变暖＂减排二氧化碳温室气体的基础上,论述适应气候变化的迫切性和基本途径。