滇池蓝藻快速热解液化制取生物油的初步研究

文章采用实验室规模的固定床反应器作为实验平台,对蓝藻快速热解液化制取生物油的可行性进行了探讨,并对影响液化性能的诸多因素,如热解温度(300～700℃)、载气流量(0～400 mL/min)、原料粒径(d＜0.08 nn,0.15＜d＜0.25 mm,0.25＜d＜0.38 mm,0.38＜d＜3.35 mm,d＞3....     

地表水中藻类代谢对pH和含氧量影响分析

藻类代谢对地表水中含氧量和pH均产生影响。藻类光合作用放出氧气,导致地表水中的含氧量增加。藻类光合作用吸收二氧化碳,影响地表水中碳酸及碳酸盐的平衡,导致地表水中pH偏向碱性。地表水中存在的弱酸及弱酸盐也会影响地表水中pH的变化。在同样的光合作用条件下,如果地表水中碳酸及碳酸盐浓度高,则pH变化小;如果地表水中碳酸及碳酸盐浓度低,则pH变化大。     

明矾石在水体微藻去除中的应用研究

以温州市某大学校区内富营养化水体为研究对象,采用本地明矾石对含藻水体进行混凝除藻、除浊实验研究,分别进行投加量、搅拌强度、搅拌时间、静置时间及pH值对微藻去除效率的影响研究,以获得处理工艺的最佳条件,为恢复河流水体生态自净功能提供理论基础.试验中对投加明矾石前后,水体中浊度、总磷、氨氮和总氮进行了测定,结果表明：明矾石最佳投加量为0.35 g/L,最佳搅拌方式为200 rpm搅拌4 min;最佳静置时间为25 min;在碱性或中性水体的处理效果尤佳.     

周期性的温度扰动对藻类群落结构演替的影响

为了研究水库生境扰动对藻类水华的作用机制,以中度扰动理论为基础,结合藻类群落生境选择学说和藻类生态功能组,开展了不同温度扰动周期、相同扰动幅度下藻类多样性变化特性和群落结构演替特征的室内控制实验.结果表明:1适度的扰动会促进藻类的生长且增加其多样性.中度扰动组Δ22℃/48 h藻类生物量最大,但多样性最高,不存在绝对占优藻种,而高频次扰动组Δ22℃/24 h生物多样性较小,但可降低藻类生物量.2温度的周期性变化对浮游藻类群落的演替有明显的影响,优势种也呈现一定的差异性.藻类优势功能组演替基本规律为:X_1(小球藻)→J(栅藻)→S_1(席藻)或X_2(衣藻),群落结构呈现出C/CR型藻类先行占优向R型演替的趋势.高温扰动频繁时,R型藻类(S_1)明显占优;无扰动或低扰动时,群落结构组成特点以C/R策略为主.适度的扰动组Δ22℃/48 h形成了多种生长策略的藻类共存的格局,且耐受高温胁迫的S策略藻类(L_0)开始出现.     

长期暴露下纳米二氧化钛对典型淡水藻体砷累积与生物转化的影响

以铜绿微囊藻(Microcystis aeruginosa)和斜生栅藻(Scenedesmus obliquus)为研究对象,通过室内培养实验,研究了长期暴露下纳米二氧化钛(nano-TiO_2)对五价砷[As(Ⅴ)]在典型淡水藻体中累积与生物转化的影响.结果表明不同藻类对无机砷的吸收和转化能力差异很大.长期暴露下斜生栅藻累积的砷(As,以DW计,下同)高达(819.66±11.25)μg·g-1,比铜绿微囊藻累积的As[(355.95±8.31)μg·g-1]高2倍多.Nano-TiO_2可增加藻体对As的吸收累积,降低了培养基中As的含量.同时,nano-TiO_2可增加藻体对As(Ⅴ)的生化转化;其中,铜绿微囊藻中有机砷以二甲基砷(DMA)为主,而斜生栅藻中有机砷以一甲基砷(MMA)为主.另外,长期暴露下nano-TiO_2处理的铜绿微囊藻和斜生栅藻向培养基释放的甲基砷小于对照组,表明长期暴露中的nano-TiO_2不能促进藻体内甲基砷的释放.研究结果可促进nano-TiO_2与As相互作用时生态风险的理解.     

藻毒素生物降解技术的研究进展

藻毒素是湖泊水华现象滋生的有害有毒污染物,它严重恶化了饮用水水源地的水质。有效控制水华爆发及去除藻毒素是环境科学领域的一个难题。近些年来,利用生物降解技术去除藻毒素已经取得了显著的效果。笔者对国内外利用生物降解技术去除微囊藻毒素的最新研究进展进行了综述,并提出了控制藻毒素的新途径。     

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).     

Mitigating Impact of Devils Lake Flooding on the Sheyenne River Sulfate Concentration

Devils Lake is a terminal lake located in northeast North Dakota. Because of its glacial origin and accumulated salts from evaporation, the lake has a high concentration of sulfate compared to the surrounding water bodies. From 1993 to 2011, Devils Lake water levels rose by ~10 m, which flooded surrounding communities and increased the chance of an overspill to the Sheyenne River. To control the flooding, the State of North Dakota constructed two outlets to pump the lake water to the river. However, the pumped water has raised concerns about of water quality degradation and potential flooding risk of the Sheyenne River. To investigate these perceived impacts, a Soil and Water Assessment Tool (SWAT) model was developed for the Sheyenne River and it was linked to a coupled SWAT and CE‐QUAL‐W2 model that was developed for Devils Lake in a previous study. While the current outlet schedule has attempted to maintain the total river discharge within the confines of a two‐year flood (36 m³/s), our simulation from 2012 to 2018 revealed that the diversion increased the Sheyenne River sulfate concentration from an average of 125 to >750 mg/L. Furthermore, a conceptual optimization model was developed with a goal of better preserving the water quality of the Sheyenne River while effectively mitigating the flooding of Devils Lake. The optimal solution provides a “win–win” outlet management that maintains the efficiency of the outlets while reducing the Sheyenne River sulfate concentration to ≤600 mg/L.     

磷对云龙湖富营养化优势藻及混合藻生长的影响

氮磷等营养盐的增加和藻类的过度增殖是富营养化的主要标志。大多数湖泊水体富营养化受磷元素的制约。研究表明富营养化水体的不同藻类对磷含量的依赖性各不相同。通过研究在相同氮浓度,相同温度条件下,不同磷浓度对纯种小球藻和硅藻以及天然混合藻生长速度的影响,发现在氮浓度充足的情况下,磷含量高促进小球藻生长;对硅藻却没有明显的相关性;天然水体混合藻生长速度与磷浓度呈正相关。     

不同氮源和曝气方式对淡水藻类生长的影响

利用水族箱微宇宙研究了2种氮源水体中不同曝气条件对藻类生长的影响.试验使用铵态氮(NH₄⁺-N)和硝态氮(NO₃^--N)作为氮源,每种氮源水体分别设置不曝气、连续曝气、昼间曝气和夜间曝气4个处理.结果显示:试验初期以NH₄⁺-N为主要氮源的水体中藻类生长明显好于以NO₃^--N为主要氮源的水体.试验后期则以NO₃^--N为主要氮源的藻类生长情况更好.连续曝气对于2种氮源水体中藻类生长有着不同的影响;昼间曝气对2种氮源的藻类生长影响不大;而夜间曝气对藻类生长有明显的抑制作用.NH₄⁺-N含量较高的水体中蓝藻容易成为优势种,而NO₃^--N含量高的水体中则以绿藻为主.不同曝气条件下藻类优势种没有明显差别.