盐效萃取法从电子产品清洗废液中回收异丙醇

用盐效萃取法从电子产品清洗废液中回收片丙醇,考察了碳酸钾水溶液与该清洗废液的质量比对脱水率的影响,测定了异丙醇-水-碳酸钾体系存40℃时的液液相平衡数据,用Pitzer理论和NRTL方程对液液相平衡数据进行了理论计算。结果表明：当质量分数为60．00％的碳酸钾水溶液与该废液的质晕比为2．00时,脱水率高达90．00％;将有机相进行精馏可得到质量分数为99．50％的异丙醇;计算值与实测值接近,水相和有机相的绝对平均偏差分别为0．62％和0．46％。     

用改性海泡石处理含磷废水

以海泡石为原料,经盐酸活化、水热活化,再加入氯化镁、氯化铁复合制得除磷剂原粉;再用聚氯乙烯将除磷剂原粉黏合成粒状除磷剂。用粒状除磷剂对废水中的磷（PO4^3-）进行吸附、洗脱,考察除磷剂的循环使用性能。实验结果表明：除磷剂对废水中磷的吸附容量可达92m g/g以上;以碳酸钠为洗脱剂,磷的洗脱率可达90%以上;除磷剂可重复使用,且性能优良。     

黄河口无机碳输运过程对pH异常增高现象的响应

为研究黄河无机碳的输运过程及有效入海通量,通过对2004年至2006年黄河口汛期和非汛期淡水-海水混合过程中无机碳参数、溶解氧饱和度、叶绿素和NH⁺₄、 PO^3-₄的分析得出,黄河口低盐度区pH出现相对于淡水端异常增高现象,而恰在此区域DIC出现亏损现象,黄河口淡-咸水混合区域pH异常增高现象可以表征无机碳的沉降作用.淡咸水混合初期生物好氧呼吸作用的降低能够导致p_CO2的迅速降低是造成低盐度区pH出现相对于淡水端异常增高现象的主要原因.根据河口溶解物质的保守混合模型,发现混合过程中ΔDIC与ΔTA是1∶1的关系,表明DIC出现亏损是由于HCO^-₃清除造成的,汛期和非汛期黄河口无机碳的沉降作用能够清除输入到河口DIC总量的10%,即黄河口每年可清除1.21×10⁵ t河流输入的溶解无机碳,DIC的有效入海通量约为10.86×10⁵ t,通过评估,黄河流域风化作用吸收的大气CO₂量将有10%左右被河口无机碳沉降作用重新释放到大气中,而流域风化作用固定的CO₂在河口将有2.24×10⁵ t（以CO₂计）重新释放到大气中.     

中度污染水资源用于电厂循环冷却系统工艺研究

采用曝气生物滤池与高效混凝沉淀工艺对城市污水厂二级处理出水进行了2 m3/h规模的中试研究,并在此基础上对被污染的地表水进行了600m3/h规模的工程试验研究。研究表明,中度污染水资源通过这一工艺处理,可以满足电厂循环冷却水补给水的水质要求,并可以取得较高的处理效率。工程试验证实,此工艺运行稳定,系统易启动,抗冲击能力强,管理方便,具有推广应用的价值。     

环洱海地区气候变化特征研究

环洱海地区是云南省具有高原湖泊生态脆弱区、民族文化多元融合区和乡村经济发展活跃区等多重叠合特征的典型区域,是全球气候变化影响的敏感区和脆弱区。以环洱海地区1951~2014年6个基本站点的逐年平均气温、极端最高气温、极端最低气温、降水量、最大日降水量和日降水量≥0.1 mm日数资料为基础。采用线性倾向估计、Mann-Kendall趋势检验、Morlet小波分析和R/S分析等方法,研究了环洱海地区气候变化规律。结果发现:自1951年以来,环洱海地区年均气温和极端最低气温呈现出升高的趋势,而极端最高气温则呈现降低的趋势,变化速率分别为0.07℃/10 a、0.03℃/10 a和–0.14℃/10 a,对于年降水量、最大日降水量和降水日数而言,三者均为减少趋势,速率分别为–12.85 mm/10 a、–1.09mm/10 a和–1.73 d/10 a;环洱海地区年均气温、极端最高和极端最低气温均没有发生突变,年降水量和降水日数在2010年发生了一次减少突变,而最大日降水量则没有检测到突变的年份;环洱海地区年平均气温和年降水量在长时间尺度上的周期性变化最为显著,分别存在30 a和33 a左右的周期变化,并贯穿整个研究时段,而短时间尺度上的周期变化局域性特征突出;从未来演变趋势来看,年平均气温和极端最低气温将维持升温趋势,而极端最高气温则将持续降低趋势,年降水量继续减少的趋势未来将会逆转,但最大日降水量和降水日数两者将持续减少的概率更大。     

降水量时间序列变化的小波特征

利用小波变换对降水量时间序列的多时间尺度变化及突变特征进行了探讨。小波变换不仅能将降水量时间序列的频率特征在时间域上展现出来，清晰地给出各种时间尺度的强弱和分布情况以及早涝变化趋势和突变点，而且还能分析出其主要周期。以新安江流域黄山地区主汛期(5—7月)和年降水量为例，计算表明，其年际及年代际时间尺度在时域中分布不均匀，具有明显的局部化特征；同时分析出主汛期降水具有8年、19年左右的周期，年降水存在6年、19年左右的周期；研究还表明，主汛期降水与年降水的时间尺度变化比较接近。     

一种新的汛期降水集中期划分方法

汛期降水集中期是近期气象学者提出的表征汛期气候的一种新的特征量,它在气候研究中体现了较好的灵活性、客观性,通过对其分析,可为汛期气候的诊断和预测提供依据。但现在普遍使用的降水集中期在计算方法和时间长度上存在缺陷,特别是运用到时间跨度较长时段的气候分析时,特征量表征作用就有所缺失,而且计算方法较为复杂。为更好地使用降水集中期这一特征量,提出了以15天作为时长,用滑动统计来划定汛期降水集中期的新方法,并运用统计方法、天气气候学方法进行了论证,同时在长江下游主雨季降水集中期分析和金华地区汛期分析两个实例中进行了应用检验。结果表明,汛期降水集中期新方法划定的特征量与汛期降水总量存在时间上的相对独立性和总趋势上的显著相关性,且在汛期气候极端灾害事件上有较强的描述能力。因此认为,15天滑动统计新方法划定的汛期降水集中期使用便捷,天气气候意义明确,在实际应用中更为客观有效。     

Recent Changes in Stream Flashiness and Flooding,and Effects of Flood Management in North Carolina and Virginia

The southeastern United States has undergone anthropogenic changes in landscape structure, with the potential to increase (e.g., urbanization) and decrease (e.g., reservoir construction) stream flashiness and flooding. Assessment of the outcome of such change can provide insight into the efficacy of current strategies and policies to manage water resources. We (1) examined trends in precipitation, floods, and stream flashiness and (2) assessed the relative influence of land cover and flow‐regulating features (e.g., best management practices and artificial water bodies) on stream flashiness from 1991 to 2013. We found mean annual precipitation decreased, which coincided with decreasing trends in floods. In contrast, stream flashiness, overall, showed an increasing trend during the period of study. However, upon closer examination, 20 watersheds showed stable stream flashiness, whereas 5 increased and 6 decreased in flashiness. Urban watersheds were among those that increased or decreased in flashiness. Watersheds that increased in stream flashiness gained more urban cover, lost more forested cover and had fewer best management practices installed than urban watersheds that decreased in stream flashiness. We found best management practices are more effective than artificial water bodies in regulating flashy floods. Flashiness index is a valuable and straightforward metric to characterize changes in streamflow and help to assess the efficacy of management interventions.     

Robustness of Meteorological Droughts in Dynamically Downscaled Climate Simulations

We examine the robustness of a suite of regional climate models (RCMs) in simulating meteorological droughts and associated metrics in present‐day climate (1971‐2003) over the conterminous United States (U.S.). The RCMs that are part of North American Regional Climate Change Assessment Program (NARCCAP) simulations are compared with multiple observations over the climatologically homogeneous regions of the U.S. The seasonal precipitation, climatology, drought attributes, and trends have been assessed. The reanalysis‐based multi‐model median RCM reasonably simulates observed statistical attributes of drought and the regional detail due to topographic forcing. However, models fail to simulate significant drying trend over the Southwest and West. Further, reanalysis‐based NARCCAP runs underestimate the observed drought frequency overall, with the exception of the Southwest; whereas they underestimate persistence in the drought‐affected areas over the Southwest and West‐North Central regions. However, global climate model‐driven NARCCAP ensembles tend to overestimate regional drought frequencies. Models exhibit considerable uncertainties while reproducing meteorological drought statistics, as evidenced by a general lack of agreement in the Hurst exponent, which in turn controls drought persistence. Water resources managers need to be aware of the limitations of current climate models, while regional climate modelers may want to fine‐tune their parameters to address impact‐relevant metrics.     

Impacts of Changes in Precipitation Amount and Distribution on Water Resources Studied Using a Model Rainwater Harvesting System

Water supply reliability is expected to be affected by both precipitation amount and distribution changes under recent and future climate change. We compare historical (1951‐2010) changes in annual‐mean and annual‐maximum daily precipitation in the global set of station observations from Global Historical Climatology Network and climate models from the Inter‐Sectoral Impact Model Intercomparison Project (ISI‐MIP), and develop the study to 2011‐2099 for model projections under high radiative forcing scenario (RCP8.5). We develop a simple rainwater harvesting system (RWHS) model and drive it with observational and modeled precipitation. We study the changes in mean and maximum precipitation along with changes in the reliability of the model RWHS as tools to assess the impact of changes in precipitation amount and distribution on reliability of precipitation‐fed water supplies. Results show faster increase in observed maximum precipitation (10.14% per K global warming) than mean precipitation (7.64% per K), and increased reliability of the model RWHS driven by observed precipitation by an average of 0.2% per decade. The ISI‐MIP models show even faster increase in maximum precipitation compared to mean precipitation. However, they imply decreases in mean reliability, for an average 0.15% per decade. Compared to observations, climate models underestimate the increasing trends in mean and maximum precipitation and show the opposite direction of change in reliability of a model water supply system.