水系沉积物中铅含量的快速荧光测定方法的研究

建立了简单、快速测定Ｐｂ＾２＋的荧光测定方法。在ｐＨ＜６．８的酸度条件下,Ｐｂ＾２＋与浓度为１．４－２．０ｍｏｌ／Ｌ的Ｃｌ＾－形成的铅氯配合物在２６２．５ｎｍ的紫外光激光下发射出４８５．０ｎｍ可用于痕量铅离子测定的荧光,在选定激发单色器通带１０．０ｎｍ,发射单色器通带２０．０ｎｍ的仪器条件下,荧光强度与１．０×１０＾－７－１．０×１０＾－５ｍｏｌ／Ｌ范围的Ｐｂ＾２＋的线性关系可用△Ｆ＝１．０１×１     

EVALUATION OF ROSGEN'S STREAMBANK EROSION POTENTIAL ASSESSMENT IN NORTHEAST OKLAHOMA1

ABSTRACT: In this study three components of the Rosgen Level III Stream Reach Condition Assessment were tested for their ability to predict short-term erosion rates. Rosgen's bank erosion potential (BEP) ratings and near bank stress (NBS) estimates and the Pfankuch channel stability ratings were evaluated. Thirty-six banks with a range of BEP ratings and NBS estimates were selected on the 101 km Upper Illinois River in northeast Oklahoma. The Upper Illinois River is a meandering, gravel-dominated, riffle/pool channel. Cumulative erosion data measured with bank pins after four 2.0 to 2.5-year return period flows from September 1996 to July 1997 were used in the analyses. When integrated as indicated in Rosgen (1996), the BEP indices and NBS estimates were poor predictors of bank erosion. Individually, the grouped BEP ratings and Pfankuch ratings performed relatively well compared to grouped NBS estimates in predicting erosion; however, the variability of erosion was large within each rating group. Linear regression between erosion and BEP numerical indices and Pfankuch scores was significant (a = 0.05), but variability was high (illustrated by low r² values). Regression between erosion and NBS estimates was not significant.     

Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

Deep learning (DL) models are increasingly used to make accurate hindcasts of management-relevant variables, but they are less commonly used in forecasting applications. Data assimilation (DA) can be used for forecasts to leverage real-time observations, where the difference between model predictions and observations today is used to adjust the model to make better predictions tomorrow. In this use case, we developed a process-guided DL and DA approach to make 7-day probabilistic forecasts of daily maximum water temperature in the Delaware River Basin in support of water management decisions. Our modeling system produced forecasts of daily maximum water temperature with an average root mean squared error (RMSE) from 1.1 to 1.4°C for 1-day-ahead and 1.4 to 1.9°C for 7-day-ahead forecasts across all sites. The DA algorithm marginally improved forecast performance when compared with forecasts produced using the process-guided DL model alone (0%–14% lower RMSE with the DA algorithm). Across all sites and lead times, 65%–82% of observations were within 90% forecast confidence intervals, which allowed managers to anticipate probability of exceedances of ecologically relevant thresholds and aid in decisions about releasing reservoir water downstream. The flexibility of DL models shows promise for forecasting other important environmental variables and aid in decision-making.     

污水处理生物转盘结构及组合工艺

针对生物转盘污水处理工艺,研究设计出能提高生物转盘处理效率的循环水轮的结构及一体化的安装工艺形式,以非能源的方式提高了系统耐冲击负荷能力和去除效率,并通过示范工程进行验证,充分肯定了该技术的高效性和实用性。     

磷在农田溪流中的动态变化

磷是水体富营养化的限制因子,河流系统是农业非点源污染物的主要运移通道,污染物在河流中的持留控制着污染物向受纳水体的输出.本次研究对象是巢湖流域一个长约1.8 km的农田源头溪流六岔河,河流由4个渠道型、1个水塘型和3个河口型断面构成,长度分别为1.3 km、0.15 km和0.36 km.在河流上设置9个监测点研究总磷、磷酸盐和悬浮物在六岔河中的持留空间特征,评价人为严重干扰下的农田溪流在农业非点源污染物运移中的生态功能.结果表明:总磷、磷酸盐、悬浮物在溪流中的持留和释放受溪流的渠道型、水塘型和河口型断面控制,水塘型和河口型断面是污染物持留的主要区域,总磷、磷酸盐和悬浮物在水塘型、河口型断面内的持留量分别占溪流持留量的58%、77%和58%;污染物在降雨-径流过程中的持留是溪流持留的主要部分,总磷、磷酸盐和悬浮物的持留分别占溪流持留量的96%、98%和93%;渠道型断面是溪流最主要的内在污染源,总磷、磷酸盐和悬浮物的释放分别占溪流释放量的93%、99%和94%;养分和悬浮物在渠道型断面中具有不同的持留特性,而位于水塘前的渠道型断面在基流和降雨-径流过程中均能有效地持留污染物.     

硫氧同位素解析典型岩溶地下河流域硫酸盐季节变化特征和来源

全球约1/4的饮用水源为岩溶水,但岩溶含水层极易遭受人类活动污染.以八步地下河为例,利用硫酸盐（SO₄^2-）浓度、硫氧同位素（δ³⁴S-SO₄和δ¹⁸O-SO₄）和水中氧同位素（δ¹⁸O-H₂O）研究岩溶小流域SO₄^2-的丰、枯水期两个季节变化特征和来源.结果表明：①受酸性矿坑水（acid mine drainage,AMD）直接影响的采样点SO₄^2-浓度较高（≥250 mg·L^-1）,枯水期>丰水期,其他采样点浓度季节变化相对较弱且浓度低.②地表水丰水期δ³⁴S-SO₄与δ¹⁸O-SO₄平均值分别为-10.5‰和4.7‰,枯水期为-11.5‰和1.3‰;地下水丰水期δ³⁴S-SO₄与δ¹⁸O-SO₄平均值分别为-2.9‰和7.1‰,枯水期为-3.2‰和6.2‰.地表水和地下水中δ³⁴S-SO₄与δ¹⁸O-SO₄值都存在丰水期偏重、枯水期偏轻的特征.③丰、枯水期流域内地表水和地下水中各采样点δ³⁴S-SO₄值变化不明显,表明在特定的采样点SO₄^2-的来源相对稳定.④地表水和地下水中SO₄^2-主要来源于雨水、硫化物和石膏,地下河出口各来源丰水期所占的比例分别为13%、40%和47%,枯水期为18%、39%和43%.     

Reach‐Scale Geomorphic and Biological Effects of Localized Streambank Armoring

Armoring of streambanks is a common management response to perceived threats to adjacent infrastructure from flooding or erosion. Despite their pervasiveness, effects of reach‐scale bank armoring have received less attention than those of channelization or watershed‐scale hydromodification. In this study, we explored mechanistic ecosystem responses to armoring by comparing conditions upstream, within, and downstream of six stream reaches with bank armoring in Southern California. Assessments were based on four common stream‐channel assessment methods: (1) traditional geomorphic measures, (2) the California Rapid Assessment Method for wetlands, (3) bioassessment with benthic macroinvertebrates, and (4) bioassessment with stream algae. Although physical responses varied among stream types (mountain, transitional, and lowland), armored segments generally had lower slopes, more and deeper pools and fewer riffles, and increased sediment deposition. Several armored segments exhibited channel incision and bank toe failure. All classes of biological indicators showed subtle, mechanistic responses to physical changes. However, extreme heterogeneity among sites, the presence of catchment‐scale disturbances, and low sample size made it difficult to ascribe observed patterns solely to channel armoring. The data suggest that species‐level or functional group‐level metrics may be more sensitive tools than integrative indices of biotic integrity to local‐scale effects.     

Characterization of Storm Flow Dynamics of Headwater Streams in the South Carolina Lower Coastal Plain1

Epps, Thomas H., Daniel R. Hitchcock, Anand D. Jayakaran, Drake R. Loflin, Thomas M. Williams, and Devendra M. Amatya, 2012. Characterization of Storm Flow Dynamics of Headwater Streams in the South Carolina Lower Coastal Plain. Journal of the American Water Resources Association (JAWRA) 1‐14. DOI: 10.1111/jawr.12000 Abstract: Hydrologic monitoring was conducted in two first‐order lower coastal plain watersheds in South Carolina, United States, a region with increasing growth and land use change. Storm events over a three‐year period were analyzed for direct runoff coefficients (ROC) and the total storm response (TSR) as percent rainfall. ROC calculations utilized an empirical hydrograph separation method that partitioned total streamflow into sustained base flow and direct runoff components. ROC ratios ranged from 0 to 0.32 on the Upper Debidue Creek (UDC) watershed and 0 to 0.57 on Watershed 80 (WS80); TSR results ranged from 0 to 0.93 at UDC and 0.01 to 0.74 at WS80. Variability in event runoff generation was attributed to seasonal trends in water table elevation fluctuation as regulated by evapotranspiration. Groundwater elevation breakpoints for each watershed were identified based on antecedent water table elevation, streamflow, ROCs, and TSRs. These thresholds represent the groundwater elevation above which event runoff generation increased sharply in response to rainfall. For effective coastal land use decision making, baseline watershed hydrology must be understood to serve as a benchmark for management goals, based on both seasonal and event‐based surface and groundwater interactions.     

生物转盘数学模型研究进展

生物转盘是一种生物膜法废水处理技术。目前对生物转盘的研究主要有反应器的设计、操作参数、盘片特质、处理废水类型和基于该反应器的数学模型等。其中数学模型的研究对反应器的设计和运行管理具有重要的指导意义。总结和分析了生物转盘流体力学、传质、动力学的数学模型,提出了今后生物转盘数学模型的研究重点。     

Human Impacts to River Temperature and Their Effects on Biological Processes: A Quantitative Synthesis1

Hester, Erich T. and Martin W. Doyle, 2011. Human Impacts to River Temperature and Their Effects on Biological Processes: A Quantitative Synthesis. Journal of the American Water Resources Association (JAWRA) 47(3):571‐587. DOI: 10.1111/j.1752‐1688.2011.00525.x Abstract: Land‐use change and water resources management increasingly impact stream and river temperatures and therefore aquatic organisms. Efforts at thermal mitigation are expected to grow in future decades. Yet the biological consequences of both human thermal impacts and proposed mitigation options are poorly quantified. This study provides such context for river thermal management in two ways. First, we summarize the full spectrum of human thermal impacts to help thermal managers consider the relative magnitudes of all impacts and mitigation options. Second, we synthesize biological sensitivity to river temperature shifts using thermal performance curves, which relate organism‐level biological processes to temperature. This approach supplements the popular use of thermal thresholds by directly estimating the impact of temperature shifts on the rates of key biological processes (e.g., growth). Our results quantify a diverse array of human thermal impacts, revealing that human actions tend to increase more than decrease river temperatures. Our results also provide a practical framework in which to quantify the sensitivity of river organisms to such impacts and related mitigation options. Finally, among the data and studies we synthesized, river organisms appear to be more sensitive to temperature above than below their thermal maxima, and fish are more sensitive to temperature change than invertebrates.