改性氢氧化镁制备及其去除地下水中Cr3+性能研究

氢氧化镁作为一种可缓慢释放OH-的碱,能使多数重金属离子转换为沉淀,而且不会引起太大的pH变化.但氢氧化镁难溶于水,在含水层中的迁移能力很差.若要用于地下水重金属污染修复,需要对氢氧化镁进行改性.因此,本文利用表面活性剂对氢氧化镁粉末进行改性,合成了氢氧化镁胶体,并对改性氢氧化镁的稳定性、粒度及其对Cr3+的稳定化效果进行了分析.结果表明,复配表面活性剂改性的氢氧化镁悬浮液稳定性好,粒径小,0.6~8.4μm的颗粒占82.41%.利用改性氢氧化镁对Cr3+污染地下水进行处理,其对Cr3+的去除机理主要为沉淀反应,氢氧化镁和Cr3+反应的质量比约为1.333∶1,氢氧化镁和初始Cr3+浓度对Cr3+的去除效果都有较大的影响.     

基于CALPUFF模型的漳州市大气环境容量研究

研究表明：CALPUFF模式是运用于广域的大气扩散模型,在区域范围较大的复杂地形条件下的应用具有突出的优势.利用CALPUFF大气扩散模型模拟漳州市2009年气象场和污染物浓度场,采用监测值对模拟结果进行验证表明模型的适用性;基于现状污染源,建立大气污染物传递系数矩阵,结合线性优化法测算了不同环境空气质量标准下漳州市大气环境容量.     

地下水中污染物的迁移传输及排泄通量研究

以辽宁某化工污染场地为研究对象,结合场地调查结果,应用地下水模型系统软件(GMS)中的MODFLOW和RT3D模型,建立了地下水中污染物的数值模型,探讨其迁移传输及排泄通量。根据模拟结果,地下水中苯、二氯苯和三氯苯的污染羽约在20年后达到动态平衡,污染羽不再随时间变化,污染物的自然衰减速率与污染源释放速率达到平衡。排泄通量估算表明:地下水向河流排泄的量在20年时达到稳定,地下水中苯、二氯苯和三氯苯向河流的排泄通量分别为每天180 g、6 100 g和5.5 g。由于污染物会导致污染生态环境和健康风险,建议从控制污染源、实施污染源区修复和切断迁移传输途径等多种措施控制风险。     

滹沱河冲洪积扇地下水中酞酸酯的污染现状与分布特征

2014年9月采集石家庄地区滹沱河冲洪积扇地下水水样,采用气相色谱-质谱法测定了US EPA优先控制的6种酞酸酯(PAEs),对PAEs分布特征与风险进行了分析.结果表明,研究区内51个点位仅1个点位未检出PAEs,检出的ΣPAEs范围为nd~28 873.1 ng·L~(-1),与国内其他研究区相比,研究区地下水中PAEs污染水平较重.PAEs及各组分的空间分布存在显著差异.3个地下水单元PAEs的平均污染水平总体表现为山间沟谷河谷裂隙孔隙水单元(G1)滹沱河冲洪积扇扇顶部孔隙水单元(G2)滹沱河冲洪积扇扇中部孔隙水单元(G3).在G2、G3单元共计39个点位中,有23个点位地下水中的PAEs以邻苯二甲酸甲酯(DMP)为主,而其余点位均因临近周边污染源,地下水中PAEs含量较高,且以邻苯二甲酸(2-乙基己基)酯(DEHP)、邻苯二甲酸丁酯(DBP)为主.研究区人群饮用受PAEs污染地下水的总非致癌风险指数和总致癌风险指数范围分别为7.6×10-9~1.1×10-2、nd~1.2×10-6,均小于US EPA推荐的可接受的水平,风险较小.     

新疆奎屯原生高砷地下水的分布、类型及成因分析

原生高砷地下水在全球分布广、危害大,严重威胁着全世界数亿人口的身体健康.为科学指导高砷地区地下水资源的合理开发利用,以中国大陆第一个砷中毒病区新疆奎屯为研究区域,分析了奎屯地区高砷地下水的分布规律、类型及成因.结果表明,奎屯地区有88.7%的地下水中砷浓度超出10μg·L~(-1),多为高砷地下水.高砷地下水多分布在深层承压含水层,砷浓度从南向北逐渐升高,与采样点海拔高度呈显著负相关.奎屯地区地下水整体呈弱碱性、碱性环境,氧化还原电位(Eh)均为负值,具有较强的还原性,属于还原性-弱碱性高砷地下水(I-2型).奎屯南面的天山与北面的河流沉积平原环境相结合,为该区地下水形成高砷提供了有利的地质环境.奎屯地区沉积层深厚,地下径流更替缓慢,相对封闭的水文地质条件使地下水中的砷富集而不易流失,强烈的蒸发可以使地下水中的砷进一步浓缩.同时,地下水的还原条件有利于含水层中砷的释放,砷浓度不仅受铁锰氧化物矿物还原的影响,而且受SO2-4还原和硫化物矿物沉淀的控制,吸附态砷的解吸附也是该地区地下水的富砷过程.     

模糊评价法在沧州市区地下水脆弱性评价中的应用

以DRASTIC模型为基础,建立了评价含水层污染性难易程度的模糊分析理论与方法,并将其应用于沧州市区地下水系统脆弱性评价。评价结果从趋势上反映了沧州市区地下水受污染的难易程度,与市区地下水污染现状吻合较好。     

基于等级全息建模的输油泵机组风险根源辨识*

为“挖掘”输油泵机组风险根源,降低设备预知性维护难度,结合输油泵多准则风险评价,提出1种基于等级全息建模的输油泵机组风险根源辨识方法,运用等级全息建模方法将输油泵系统分解为泵体结构、管理因素、环境因素、操作因素、技术因素、运行因素、设备安装7个子系统进行定性和定量分析。结果表明:相比危险与可操作性分析（HAZOP）、事故树分析（FTA）等传统风险辨识方法,等级全息建模（HHM）对轴承等关键部件以及压力等运行参数的监测更为深入,能够有效辨识输油泵机组高风险情景,提升输油泵的风险辨识效率。     

Spatiotemporal Variability of Modeled Watershed Scale Surface‐Depression Storage and Runoff for the Conterminous United States

This study explores the viability of using simulated monthly runoff as a proxy for landscape‐scale surface‐depression storage processes simulated by the United States Geological Survey’s National Hydrologic Model (NHM) infrastructure across the conterminous United States (CONUS). Two different temporal resolution model codes (daily and monthly) were run in the NHM with the same spatial discretization. Simulated values of daily surface‐depression storage (treated as a decimal fraction of maximum volume) as computed by the daily Precipitation‐Runoff Modeling System (NHM‐PRMS) and normalized runoff (0 to 1) as computed by the Monthly Water Balance Model (NHM‐MWBM) were aggregated to monthly and annual values for each hydrologic response unit (HRU) in the CONUS geospatial fabric (HRU; n = 109,951) and analyzed using Spearman’s rank correlation test. Correlations between simulated runoff and surface‐depression storage aggregated to monthly and annual values were compared to identify where which time scale had relatively higher correlation values across the CONUS. Results show Spearman’s rank values >0.75 (highly correlated) for the monthly time scale in 28,279 HRUs (53.35%) compared to the annual time scale in 41,655 HRUs (78.58%). The geographic distribution of HRUs with highly correlated monthly values show areas where surface‐depression storage features are known to be common (e.g., Prairie Pothole Region, Florida).     

Comparison and Evaluation of Gridded Precipitation Datasets in a Kansas Agricultural Watershed Using SWAT

Gridded precipitation datasets are becoming a convenient substitute for gauge measurements in hydrological modeling; however, these data have not been fully evaluated across a range of conditions. We compared four gridded datasets (Daily Surface Weather and Climatological Summaries [DAYMET], North American Land Data Assimilation System [NLDAS], Global Land Data Assimilation System [GLDAS], and Parameter‐elevation Regressions on Independent Slopes Model [PRISM]) as precipitation data sources and evaluated how they affected hydrologic model performance when compared with a gauged dataset, Global Historical Climatology Network‐Daily (GHCN‐D). Analyses were performed for the Delaware Watershed at Perry Lake in eastern Kansas. Precipitation indices for DAYMET and PRISM precipitation closely matched GHCN‐D, whereas NLDAS and GLDAS showed weaker correlations. We also used these precipitation data as input to the Soil and Water Assessment Tool (SWAT) model that confirmed similar trends in streamflow simulation. For stations with complete data, GHCN‐D based SWAT‐simulated streamflow variability better than gridded precipitation data. During low flow periods we found PRISM performed better, whereas both DAYMET and NLDAS performed better in high flow years. Our results demonstrate that combining gridded precipitation sources with gauge‐based measurements can improve hydrologic model performance, especially for extreme events.     

Estimating Potential Climate Change Effects on the Upper Neuse Watershed Water Balance Using the SWAT Model

Climate change poses water resource challenges for many already water stressed watersheds throughout the world. One such watershed is the Upper Neuse Watershed in North Carolina, which serves as a water source for the large and growing Research Triangle Park region. The aim of this study was to quantify possible changes in the watershed’s water balance due to climate change. To do this, we used the Soil and Water Assessment Tool (SWAT) model forced with different climate scenarios for baseline, mid‐century, and end‐century time periods using five different downscaled General Circulation Models. Before running these scenarios, the SWAT model was calibrated and validated using daily streamflow records within the watershed. The study results suggest that, even under a mitigation scenario, precipitation will increase by 7.7% from the baseline to mid‐century time period and by 9.8% between the baseline and end‐century time period. Over the same periods, evapotranspiration (ET) would decrease by 5.5 and 7.6%, water yield would increase by 25.1% and 33.2%, and soil water would increase by 1.4% and 1.9%. Perhaps most importantly, the model results show, under a high emission scenario, large seasonal differences with ET estimated to decrease by up to 42% and water yield to increase by up to 157% in late summer and fall. Planning for the wetter predicted future and corresponding seasonal changes will be critical for mitigating the impacts of climate change on water resources.