Evaluating Infiltration Requirements for New Development Using Extreme Storm Transposition: A Case Study from Dane County,WI

Changes in land use and extreme rainfall trends can lead to increased flood vulnerability in many parts of the world, especially for urbanized watersheds. This study investigates the performance of existing stormwater management strategies for the Upper Yahara watershed in Dane County, WI to determine whether they are adequate to protect urban and suburban development from an extreme rainfall. Using extreme storm transposition, we model the performance of the stormwater infiltration practices required for new development under current county ordinances. We find during extreme rainfall the volume of post‐development runoff from impervious surfaces from a typical site would increase by over 55% over pre‐development conditions. We recommend the ordinance be strengthened to reduce vulnerability to flooding from future urban expansion and the likely increase in the magnitude and frequency of extreme storms.     

Testing and Improving Temperature Thresholds for Snow and Rain Prediction in the Western United States

The phase of precipitation at the land surface is critical to determine the timing and amount of water available for hydrological and ecological systems. However, there are few techniques to directly observe the precipitation phase and many prediction tools apply a single temperature threshold (e.g., 0°C) to determine phase. In this paper, we asked two questions: (1) what is the accuracy of default and station optimized daily temperature thresholds for predicting precipitation phase and (2) what are the regions and conditions in which typical temperature‐based precipitation phase predictions are most suited. We developed a ground truth dataset of rain vs. snow using an expert decision‐making system based on precipitation, snow depth, and snow water equivalent observations. This dataset was used to evaluate the accuracy of three temperature‐threshold‐based techniques of phase classification. Optimizing the temperature threshold improved the prediction of precipitation phase by 34% compared to using 0°C threshold. Developing a temperature threshold based on station elevation improved the error by 12% compared with using the 0°C temperature threshold. We also found the probability of snow as a function of temperature differed among ecoregions, which suggests a varied response to future climate change. These results highlight a current weakness in our ability to predict the effects of regional warming that could have uneven impacts on water and ecological resources.     

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.     

鸟粪石沉淀法预处理高氨氮废水的镁盐研究

药剂费用一直是限制鸟粪石法处理高氨氮废水实际应用的主要因素。实验采用鸟粪石沉淀法预处理高氨氮废水,以磷酸氢二钠作为磷盐,就不同镁盐对高氨氮废水的处理效果进行了分析比较。实验结果表明,将氯化镁与氧化镁联用作为新型镁盐时,有很大的优势。在n（N）：n（P）：n（Mg）=1：1：1．5,n（MgCl2）：n（MgO）=1：2,反应时间为30min条件下,氨氮的去除率可以达到90％以上,与常规单独采用氯化镁的处理方法相比,镁盐药剂费用可节约2／3以上。     

pH和元素摩尔比对污泥酸化液沉淀法脱氮除磷的影响

针对剩余污泥水解酸化产生大量多糖、蛋白质和VFAs碳源的同时会有较高浓度的NH+4-N和PO3-4-P溶出的问题,考察了pH值和元素摩尔比对以沉淀法同时去除NH+4-N和PO3-4-P的影响.结果表明,最佳pH为9.0,当pH升高到10.0时NH+4-N去除率略有下降,在特定摩尔比范围内摩尔比对沉淀形成的影响大于pH值...     

碳酸镁与镉离子的吸附和沉淀作用研究

以碳酸镁为吸附剂,在镉离子初始浓度为0~6 mmol/L,初始pH值为4和7的条件下,研究了碳酸镁与镉离子的吸附与沉淀作用。结果表明,由于碳酸镁的溶解及与体系中氢离子的中和,碳酸镁—镉体系的最终pH值为10.4左右;体系的平衡pH值随着镉离子初始浓度的增加而减小;体系中镉的平衡浓度随着初始镉离子浓度的增加缓慢上升;碳酸镁对镉的吸附等温线为折线型,不符合Freundlich和Langmuir模型,符合伪二阶吸附动力学模型。结合碳酸镁吸附镉前后固相表征的结果,说明碳酸镁与镉离子的作用机制随着镉离子浓度的增加,从离子交换发展为离子交换和表面配位反应并存,最后表现为表面沉淀。     

Sensitivity of Precipitation Statistics to Urban Growth in a Subtropical Coastal Megacity Cluster

This short paper presents an investigation on how human activities may or may not affect precipitation based on numerical simulations of precipitation in a benchmark case with modified lower boundary conditions, representing different stages of urban development in the model. The results indicate that certain degrees of urbanization affect the likelihood of heavy precipitation significantly, while less urbanized or smaller cities are much less prone to these effects. Such a result can be explained based on our previous work where the sensitivity of precipitation statistics to surface anthropogenic heat sources lies in the generation of buoyancy and turbulence in the planetary boundary layer and dissipation through triggering of convection. Thus only mega cities of sufficient size, and hence human-activity-related anthropogenic heat emission, can expect to experience such effects. In other words, as cities grow, their effects upon precipitation appear to grow as well.     

微生物燃料电池恒电流预培养阳极生物膜分析表征

阳极性能是影响微生物燃料电池(Microbial Fuel Cells,MFCs)性能的关键因素之一,同时阳极的接种挂膜过程是影响微生物燃料电池启动效率的关键因素.因此,本课题组提出了预培养阳极作为微生物燃料电池的一种新型阳极的概念,在三电极体系下,通过外加恒定电流预培养阳极,在不同条件下对阳极表面进行电化学选择和生物膜驯化以丰富生物膜结构和厚度.结果表明,阳极的性能与预培养电流大小密切相关,预培养阳极CF-4i(外加4 A·m-2电流密度)通过循环伏安法、塔菲尔曲线、电化学阻抗谱测试,性能好于其他测试组及对照组,装配阳极CF-4i的微生物燃料电池能实现最大功率密度968.20 m W·m-2,是对照组的2.53倍.同时,通过共聚焦显微镜观察发现,生物膜大体分两层,外层的活细胞及内层的死细胞,外层活细胞长在内层死细胞之上.这种结构分布表明,阳极生物膜中的活细胞部分绝大多数都分布于生物膜的外侧,而不是均布于整个阳极生物膜中;同时这也表明不是整个阳极生物膜都具有新陈代谢活性,但死亡的细胞可以继续积累在电极表面附近,活的外层膜负责电流的产生,而内层的死细胞作为一种导电基质.     

近平衡状态海水中方解石溶解-沉淀速率及动力学研究

本文利用free-drift开放反应系统,在恒压力(1atm)、恒温度(25.0±0.2℃)环境下,研究海水中近溶解、沉淀平衡状态时二氧化碳分压(pCO2)的变化对方解石溶解、沉淀速率及其动力学方程的影响。研究结果表明:溶解速率相对于碳酸盐碱度(Ac)或饱和度(Ω)变化的敏感度要高于沉淀速率;Ac或Ω相同时,pCO2越高,溶解速率越高,而沉淀速率越低;方解石的溶解过程可分为pCO2欠平衡、平衡两个阶段,当Ω>0.8时反应液pCO2平衡,方解石的溶解反应级数介于8～9之间;沉淀反应级数介于2.4～2.6之间,且反应液pCO2的改变对沉淀反应级数的影响不明显。     

黄河流域内蒙古段1951—2012年气温、降水变化及其关系

黄河流域内蒙古段是内蒙古自治区重要的经济发展区,研究其气候因子变化对流域水资源、区域经济社会发展及生态环境保护有重要意义。论文利用研究区及其周边地区52个气象站点1951—2012年气温与降水量资料,采用回归分析、年代均值比较、5 a滑动、气候倾向率和Mann-Kendall检验等方法,对气温与降水变化及其关系进行了分析。结果表明：近62 a来,研究区域平均气温、平均最高和最低气温均呈明显上升趋势（0.283 ℃/10 a、0.235 ℃/10 a、 0.590 ℃/10 a）,尤以20世纪90年代增温最为明显,冬季增长速率最快,对气温升高贡献最大。3类气温分别在1988、1989、1982年发生了突变,平均气温、平均最高气温突变时间均晚于平均最低气温。多年降水量年际变化较大,总体呈下降趋势（-1.48 mm/10 a）,但下降幅度不明显。年降水量与平均气温、平均最高气温、平均最低气温在20世纪80—90年代相关性较好,均呈上升趋势,而其他时期则呈阶段反对称变化。从季节上看,春季降水量与3类气温年值相关性最好;夏季降水量与3类气温的年际变化趋势类似;秋季降水量与3类气温呈阶段反对称性变化;冬季降水量与3类气温在20世纪90年代到21世纪呈反对称变化,其他年代则呈现一致的变化趋势。