A Pilot‐Scale Diatomite Membrane Bioreactor for Slightly Polluted Surface Water Treatment          下载免费PDF全文

Wen Sun  Cuimei Li  Bingzhi Dong  Huaqiang Chu 《洁净——土壤、空气、水》2018,46(9)

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2016年夏季南海海盆水体颗粒物粒径分布特征*     

郑文迪  周雯  曹文熙  王桂芬  邓霖  徐文龙  许占堂  李彩  蔡建南 《热带海洋学报》2018,37(5):74-85

颗粒物粒径分布(Particle Size Distribution, PSD)代表了颗粒物浓度与颗粒物粒径之间的关系, 影响着海洋生态环境和水体光学特性等。文章基于2016年夏季航次调查的生物光学剖面数据, 研究了南海海盆海域PSD的分布特征。研究发现, 幂律函数可以较好地拟合南海海盆区域的PSD, 对数空间中的实测的PSD与模拟的PSD平均决定系数高达0.95。PSD斜率(ξ)的分布范围为[1.27, 7.65], 均值为3.93±0.56。南海海盆区域表层水体的ξ均值与全球大洋表层水体的ξ均值相近, 但高于海湾等表层水体的ξ均值。ξ能较好地表征颗粒物平均粒径D_A的大小, 两者存在明显负相关关系, 即ξ值越高, D_A越小; 反之, D_A越大。通过分析T1断面的生物光学剖面数据及总体平均的PSD剖面数据, 发现PSD剖面分布特征如下: 1)表层水体的ξ值相对较高, 且D_A值相对较低, 推测可能是由于微微型藻类为主导颗粒物所致; 2) ξ值极小值层出现在次表层叶绿素浓度极大值层(Subsurface Chlorophyll Maximum Layer, SCML)中, 并伴随D_A极大值层的出现, 其原因可能是SCML中的大粒径浮游植物占比显著增加; 3)弱光层中的ξ值较SCML中的高, 但略低于表层的ξ值, 而D_A则位于表层与SCML的D_A之间, 这可能与浮游植物及其碎屑的絮凝、分解、沉降等过程相关。PSD特征影响着海水的固有光学特性, 分析发现: 由于SCML中的叶绿素浓度增加, 颗粒物散射系数(b_p(532))和颗粒物后向散射系数(b_bp(532))也相应呈现显著增加的趋势。弱光层中的平均b_p(532)与平均b_bp(532)最小。ξ与颗粒物衰减光谱斜率之间呈高分散性, Boss 等(2001b)的模型适合用于粗略估算区域性的ξ分布范围及均值。  相似文献   

基态位涡径向分布对浅水涡旋系统演变的影响分析Part Ⅱ:扰动发展和结构变化          下载免费PDF全文

刘爽  钟玮  刘宇迪 《地球物理学报》2018,61(9):3592-3606

本文在基态位涡（Potential Vorticity，PV）径向分布和基态涡旋强度对热带气旋（Tropical Cyclone，TC）类涡旋系统稳定性特征影响的研究基础上，结合理想试验和数值模拟诊断分析基态PV径向分布对扰动增长和系统结构变化的影响.基于线性正压浅水模型，设计三种典型基态PV中空结构下基态涡旋强度对系统稳定性影响的敏感性试验.结果表明：基态涡旋的强度主要影响稳定性的强弱，强度越强，不稳定增长率越大，而基态PV径向分布对系统最不稳定波动性质起着决定作用.分析不同波数下扰动的发展及不同波数间扰动的相互作用可知，对于宽且实的PV环，系统稳定性主要取决于低波数不稳定，且最不稳定波数扰动的发展具有明显的优势地位；对于窄且空的PV环，系统稳定性主要取决于高波数不稳定，且多个高波数下增长最快模态的不稳定增长率值十分接近.利用模态线性叠加法讨论扰动增长对系统结构变化的影响表明：最不稳定波数的扰动发展对系统结构变化有关键影响，而多个波数的扰动不稳定增长相当时，不同波数的扰动发生相互作用从而影响系统结构变化.最后，利用实际个例模拟资料分析基态PV径向分布及其变化对TC结构和强度的影响表明：TC内核区出现的多边形眼墙结构与当前时刻基态PV径向分布所决定的最不稳定波数有很好的对应关系，同时基态PV径向分布变化所反映出的系统动力稳定性强弱与TC强度发展阶段具有很好的相关性.  相似文献   

Analytical and empirical models for predicting the drift capacity of modern unreinforced masonry walls     

Bastian Valentin Wilding  Katrin Beyer 《地震工程与结构动力学》2018,47(10):2012-2031

Displacement‐based seismic assessment of buildings containing unreinforced masonry (URM) walls requires as input, among others, estimates of the in‐plane drift capacity at the considered limit states. Current codes assess the drift capacity of URM walls by means of empirical models with most codes relating the drift capacity to the failure mode and wall slenderness. Comparisons with experimental results show that such relationships result in large scatter and usually do not provide satisfactory predictions. The objective of this paper is to determine trends in drift capacities of modern URM walls from 61 experimental tests and to investigate whether analytical models could lead to more reliable estimates of the displacement capacity than the currently used empirical models. A recently developed analytical model for the prediction of the ultimate drift capacity for both shear and flexure controlled URM walls is introduced and simplified into an equation that is suitable for code implementation. The approach follows the idea of plastic hinge models for reinforced concrete or steel structures. It explicitly considers the influence of crushing due to flexural or shear failure in URM walls and takes into account the effect of kinematic and static boundary conditions on the drift capacity. Finally, the performance of the analytical model is benchmarked against the test data and other empirical formulations. It shows that it yields significantly better estimates than empirical models in current codes. The paper concludes with an investigation of the sensitivity of the ultimate drift capacity to the wall geometry, static, and kinematic boundary conditions.  相似文献   

Modelling soil moisture in a high‐latitude landscape using LiDAR and soil data          下载免费PDF全文

Julia Kemppinen  Pekka Niittynen  Henri Riihimäki  Miska Luoto 《地球表面变化过程与地形》2018,43(5):1019-1031

Soil moisture has a pronounced effect on earth surface processes. Global soil moisture is strongly driven by climate, whereas at finer scales, the role of non‐climatic drivers becomes more important. We provide insights into the significance of soil and land surface properties in landscape‐scale soil moisture variation by utilizing high‐resolution light detection and ranging (LiDAR) data and extensive field investigations. The data consist of 1200 study plots located in a high‐latitude landscape of mountain tundra in north‐western Finland. We measured the plots three times during growing season 2016 with a hand‐held time‐domain reflectometry sensor. To model soil moisture and its temporal variation, we used four statistical modelling methods: generalized linear models, generalized additive models, boosted regression trees, and random forests. The model fit of the soil moisture models were R² = 0.60 and root mean square error (RMSE) 8.04 VWC% on average, while the temporal variation models showed a lower fit of R² = 0.25 and RMSE 13.11 CV%. The predictive performances for the former were R² = 0.47 and RMSE 9.34 VWC%, and for the latter R² = 0.01 and RMSE 15.29 CV%. Results were similar across the modelling methods, demonstrating a consistent pattern. Soil moisture and its temporal variation showed strong heterogeneity over short distances; therefore, soil moisture modelling benefits from high‐resolution predictors, such as LiDAR based variables. In the soil moisture models, the strongest predictor was SAGA (System for Automated Geoscientific Analyses) wetness index (SWI), based on a 1 m² digital terrain model derived from LiDAR data, which outperformed soil predictors. Thus, our study supports the use of LiDAR based SWI in explaining fine‐scale soil moisture variation. In the temporal variation models, the strongest predictor was the field‐quantified organic layer depth variable. Our results show that spatial soil moisture predictions can be based on soil and land surface properties, yet the temporal models require further investigation. Copyright © 2017 John Wiley & Sons, Ltd.  相似文献   

填充墙刚度影响的实测高层建筑增量动力分析          下载免费PDF全文

周云  裴熠麟  周祎  方亮  易伟建 《地震工程学报》2018,40(5):883-890

高层结构中的填充墙在地震作用下与周围结构构件之间的相互作用十分复杂,对建筑结构的整体抗震性能具有较大影响。然而我国规范在设计阶段通常不考虑填充墙对结构抗震性能的影响,统一采用周期折减系数来考虑其刚度变化引起的内力变化,因此准确评估填充墙对结构抗震性能的影响具有重要意义。本文在对一栋框-剪结构和一栋剪力墙高层建筑进行随机振动测试的基础上,利用Perform-3D对每栋高层分别建立了3种分析模型。其中对未考虑填充墙作用的结构模型,分别采取规范建议值和实测结果值两种方式进行周期折减。对通过添加斜撑单元来考虑填充墙作用的结构模型,利用环境激励测试识别获得的结构模态信息进行模型修正。对该3种模型进行了增量动力分析,探讨潜在危险性水平地震作用下填充墙对高层建筑抗震性能的影响。结果表明,填充墙增加了结构在弹性阶段的整体初始刚度,但随着地震动强度的增加逐渐丧失对结构刚度的贡献作用。相比考虑了填充墙作用的模型计算结果,规范建议的周期折减系数较为保守。同时研究发现,填充墙对高层框-剪结构的影响程度要比剪力墙结构大。  相似文献   

Assessment of soil erosion in a monsoon-dominated mountain river basin in India using RUSLE-SDR and AHP   总被引：1，自引：1，他引：0  

Jobin Thomas  Sabu Joseph  K. P. Thrivikramji 《水文科学杂志》2018,63(4):542-560

The long-term average annual soil loss (A) and sediment yield (SY) in a tropical monsoon-dominated river basin in the southern Western Ghats, India (Muthirapuzha River Basin, MRB; area: 271.75 km²), were predicted by coupling the Revised Universal Soil Loss Equation (RUSLE) and sediment delivery ratio (SDR) models. Moreover, the study also delineated soil erosion risk zones based on the soil erosion potential index (SEPI) using the analytic hierarchy process (AHP) technique. Mean A of the basin is 14.36 t ha^?1 year^?1, while mean SY is only 3.65 t ha^?1 year^?1. Although the land use/land cover types with human interference show relatively lower A compared to natural vegetation, their higher SDR values reflect the significance of anthropogenic activities in accelerated soil erosion. The soil erosion risk in the MRB is strongly controlled by slope, land use/land cover and relative relief, compared to geomorphology, drainage density, stream frequency and lineament frequency.  相似文献   

Assessment of alternative adsorption models and global sensitivity analysis to characterize hexavalent chromium loss from soil to surface runoff          下载免费PDF全文

Chuan‐An Xia  Juxiu Tong  Bill X. Hu  Xiujie Wu  Alberto Guadagnini 《水文研究》2018,32(20):3140-3157

We investigate our ability to assess transfer of hexavalent chromium, Cr(VI), from the soil to surface runoff by considering the effect of coupling diverse adsorption models with a two‐layer solute transfer model. Our analyses are grounded on a set of two experiments associated with soils characterized by diverse particle size distributions. Our study is motivated by the observation that Cr(VI) is receiving much attention for the assessment of environmental risks due to its high solubility, mobility, and toxicological significance. Adsorption of Cr(VI) is considered to be at equilibrium in the mixing layer under our experimental conditions. Four adsorption models, that is, the Langmuir, Freundlich, Temkin, and linear models, constitute our set of alternative (competing) mathematical formulations. Experimental results reveal that the soil samples characterized by the finest grain sizes are associated with the highest release of Cr(VI) to runoff. We compare the relative abilities of the four models to interpret experimental results through maximum likelihood model calibration and four model identification criteria (i.e., the Akaike information criteria [AIC and AIC_C] and the Bayesian and Kashyap information criteria). Our study results enable us to rank the tested models on the basis of a set of posterior weights assigned to each of them. A classical variance‐based global sensitivity analysis is then performed to assess the relative importance of the uncertain parameters associated with each of the models considered, within subregions of the parameter space. In this context, the modelling strategy resulting from coupling the Langmuir isotherm with a two‐layer solute transfer model is then evaluated as the most skilful for the overall interpretation of both sets of experiments. Our results document that (a) the depth of the mixing layer is the most influential factor for all models tested, with the exception of the Freundlich isotherm, and (b) the total sensitivity of the adsorption parameters varies in time, with a trend to increase as time progresses for all of the models. These results suggest that adsorption has a significant effect on the uncertainty associated with the release of Cr(VI) from the soil to the surface runoff component.  相似文献   

底泥就地稳定化中零价铁(Fe⁰)对有机污染物的作用及其对上覆水体水质的影响     

章萍  相明雪  马若男  刘强  葛刚  钱光人 《湖泊科学》2018,30(5):1218-1224

在实验室模拟静态湖泊体系条件下,通过向实际底泥中投加零价铁(Fe~0),考察反应前后底泥中有机物数量、种类、总有机质含量以及上覆水体溶解氧(DO)浓度、氧化还原电位(Eh)、pH和化学需氧量(CODCr)浓度等指标的变化,探讨Fe~0对底泥有机物的降解效果以及对上覆水体水质的影响.结果表明,投加Fe~0处理80 d后,(1)经GC-MS检测出底泥中易被降解的小分子有机物(分子量小于200)数量明显增多,底泥总有机去除率为44%.(2)上覆水体的DO浓度、Eh和pH都有不同程度的变化.DO浓度从6.6 mg/L迅速下降至0.2 mg/L,Eh从150 mV左右下降至74 mV,pH升高至8.4,此体系易形成厌氧环境;且上覆水体中CODCr低于纯底泥-水体系,上覆水中DO浓度、Eh及pH与CODCr浓度具有一定相关性.综上,底泥中投加Fe~0可有效降解有机物,且不会对上覆水体产生持久、较大的影响.  相似文献   

社会网络视角中世界文化遗产地旅游村寨的利益关系治理     

时少华  李享 《热带地理》2020,40(4):625-635

以云南省红河州元阳县哈尼梯田核心区域2个典型的旅游村寨（大鱼塘村和普高老寨）为例，对两村寨利益相关者从网络凝聚性、网络互惠性、网络核心边缘、网络传递性、网络经纪人等5个方面展开关系数据分析，结果显示：1）大鱼塘村压力集团内部、压力集团与社区、企业与政府之间的利益关联性和联系的紧密性不足；2）两村当地政府和压力集团与社区之间的互惠性低于整体平均互惠性；3）两村利益网络中边缘结构较核心结构更加明显，这导致了利益关系的不平衡；4）两村当地政府利益集团传递性相对较低，当地社区传递性最高；5）两村中利益集团间缺少部分协调人、守门人、代理人、联络人等角色。最后提出相应建议：1）提升哈尼梯田利益关系由弱利益关系转变为强利益关系，改变利益集团间核心边缘利益关系格局；2）进一步加强各利益集团内部及之间的关联性；3）加强以企业和政府机构为顶点的组间利益传递，让利益流动逐步打破哈尼梯田利益集团之间的核心边缘关系结构；4）重点加强社区在利益关系网络中的参与机会与权力，对社区进行增权；5）利益集团内部要重点培育协调人和顾问角色，利益集团之间要重点培育企业与政府、社区、压力集团之间的守门人、代理人和联络人角色，以及社区与政府和企业之间的守门人、代理人角色。  相似文献