Screening of Microalgae for Feasible Mass Production in Industrial Hypersaline Wastewater Using Disposable Bioreactors     

Sebastian Menke  Anne Sennhenn  Jörg‐H. Sachse  Elke Majewski  Bernhard Huchzermeyer  Thomas Rath 《洁净——土壤、空气、水》2012,40(12):1401-1407

Ten algae species were analyzed by comparing their growth in specific hypersaline industrial wastewater. It was a by‐product of fertilizer production which was released by K + S Aktiengesellschaft, Germany. Due to processing, brine water contains a high amount of salts ( 200 g L^?1). A successful algal biotechnology mainly depends on choosing and screening the adequate algae for a specific application along with the design of optimal culture conditions with comparable photo bioreactor technologies. Therefore, a high throughput screening technology was developed. In comparison to glass flasks or flat panel reactors this system was eligible for screening applications because of disposable characteristics and the equability of each culture tube. Dunaliella salina, Tetraselmis tetrathele, and Nannochloropsis salina grew in the presence of hypersaline wastewater where T. tetrathele grew best to a wastewater concentration of 75% by salt shock experiments. D. salina tolerates a wastewater level up to 80% by gradual increase. Intracellular ion contents of lyophilized algae samples were measured. They feature special transporter to either exclude ions, i.e., sodium from the cell, or to include ions like potassium and magnesium in order to secure functionality of sensitive enzymes. Under saline stress conditions these transport systems as well as metabolic pathways leading to the production of compatible osmolytes could be induced. Stress tolerance mechanisms developed in initially unstressed culture either by stepwise adaptation or by shock exposure to harsh salt condition. For this reason a feasible mass production in industrial hypersaline wastewater was possible.  相似文献   

Comprehensive analysis and artificial intelligent simulation of land subsidence of Beijing, China   总被引：3，自引：0，他引：3  

ZHU Lin  GONG Huili  LI Xiaojuan  LI Yongyong  SU Xiaosi  GUO Gaoxuan 《中国地理科学(英文版)》2013,23(2):237-248

Mechanism and modeling of the land subsidence are complex because of the complicate geological background in Beijing, China. This paper analyzed the spatial relationship between land subsidence and three factors, including the change of groundwater level, the thickness of compressible sediments and the building area by using remote sensing and GIS tools in the upper-middle part of alluvial-proluvial plain fan of the Chaobai River in Beijing. Based on the spatial analysis of the land subsidence and three factors, there exist significant non-linear relationship between the vertical displacement and three factors. The Back Propagation Neural Network (BPN) model combined with Genetic Algorithm (GA) was used to simulate regional distribution of the land subsidence. Results showed that at field scale, the groundwater level and land subsidence showed a significant linear relationship. However, at regional scale, the spatial distribution of groundwater depletion funnel did not overlap with the land subsidence funnel. As to the factor of compressible strata, the places with the biggest compressible strata thickness did not have the largest vertical displacement. The distributions of building area and land subsidence have no obvious spatial relationships. The BPN-GA model simulation results illustrated that the accuracy of the trained model during fifty years is acceptable with an error of 51% of verification data less than 20 mm and the average of the absolute error about 32 mm. The BPN model could be utilized to simulate the general distribution of land subsidence in the study area. Overall, this work contributes to better understand the complex relationship between the land subsidence and three influencing factors. And the distribution of the land subsidence can be simulated by the trained BPN-GA model with the limited available dada and acceptable accuracy.  相似文献   

基于IGA算法的电阻率神经网络反演成像研究   总被引：2，自引：1，他引：1       下载免费PDF全文

高明亮  于生宝  郑建波  徐畅  刘伟宇  栾卉 《地球物理学报》2016,59(11):4372-4382

为满足地球物理资料反演解释的高精度、快速、稳定的要求,本文结合免疫遗传算法寻优速度快和BP神经网络反演不依赖初始模型等优点,设计了一种将BP神经网络和免疫遗传算法进行有机结合的全局优化反演策略,并将该策略成功地应用于二维高密度电法数据反演.利用免疫遗传算法(Immune Genetic Algorithm,简称IGA)对神经网络的反演参数进行同步优化,提高了电阻率反演的精度.仿真和实验结果验证设计的全局优化反演策略取得了较好的效果,通过与线性反演方法和BP法以及遗传神经网络法等反演方法进行比较,得出该方法具有反演精度更高,反演时间更短等显著优势的结论.  相似文献   

Modelling the influence of thermal discharge under wind on algae     

《Physics and Chemistry of the Earth》2015

Wind-driven processes exert an important impact on aquatic ecosystems, especially on shallow reservoirs. Flow and heat transport under wind in the Douhe reservoir in China were simulated by a two-dimensional mathematical model. Areas corresponding to different temperature rises were calculated for different wind speed conditions with high frequency. It is shown that high temperature rise areas increase for maximum wind speed conditions while low temperature rise areas keep constant for various wind speed conditions. The concentration of Chl.a decreases with the increase of wind speed, indicating that low wind speed is suitable for algae blooming in the Douhe reservoir. The effects of wind on Bacillariophyta biomass growth become more obvious with the increase of temperature rise areas. The influenced areas of lower temperature rise (0.2–1.49 °C) and higher temperature rise (1.5–2 °C) zone are 8.57 × 10⁶ m² and 5.18 × 10⁶ m², respectively, and corresponding total variation amounts of Bacillariophyta biomass are 2.24 × 10⁵/m² and 0.42 × 10⁵/m², respectively. Results show that wind has a significant impact on ecological effects due to thermal discharge from thermal power plant into shallow reservoirs.  相似文献   

地月系L1点低能耗探月轨道设计     

于亮  杜兰  许君 《测绘科学技术学报》2012,(1):28-32

利用三体问题平动点附近存在的流形实现低能耗轨道转移是当前飞行动力学研究中的热点。由于三体问题没有严格的解析解,因此往往采用数值算法来设计轨道。这种方法计算量大,耗费大量的时间和资源。在已有理论的基础上,这里提出了一种基于二体模型和三体模型相结合的轨道设计方法,在相空间中实现轨道的加速匹配与搜索,提高整个设计过程的效率。最后,利用该方法实现了一条从月球驻留轨道到地月系L1点Halo轨道的低能耗转移轨道。仿真结果表明,该方法是高效和可靠的。  相似文献   

多尺度空间分层聚类算法在土地利用与土地覆被研究中的应用   总被引：6，自引：4，他引：2  

沙占江  马海州  李玲琴  周笃君  曹广超  欧立业  黄华兵  杨海镇 《地理科学》2004,24(4):477-483

利用遥感数据,综合最大似然法监督分类、多尺度空间分层聚类的部分监督分类方法和主成分方法,分析黄河上游龙羊峡水库库区1987～1999年间土地利用土地覆盖变化.提取专题信息,不同要素采用不同方法;具体分类中,土地利用类型的一级类型耕地、水体及未利用土地类型采用主成分分析和最大似然法监督分类方法;对一级类型草地采用多尺度分层聚类算法的部分监督分类方法.结果表明,草地信息利用SSHC方法提取结果较好,与Bayes分类方法相比,精度提高4.2%,SSHC所获结果数据Kappa系数为0.84,Bayes所获结果数据Kap-pa系数为0.78.对某专题要素分类,此方法结果较优.  相似文献   

用改进后的BP网络识别地图符号     

黄文骞 《测绘工程》1996,5(1):36-42

讨论基于ＢＰ神经网络的点状地图符号识别，在分析介绍ＢＰ网络模型及其学习算法之后，根据ＢＰ模型本身所存在的一些不足之处，提出了相应的改进措施。改进后的ＢＰ网络学习速度明显提高，性能得到增强，因而可以更有效地识别点状地图符号。另外，还对网络的输入模式加以讨论，给出了在ＢＰ网络学习训练过程中的一些体会，并提出了三种减小网络规模的具体方法。  相似文献   

建立数字地面模型的算法研究   总被引：15，自引：2，他引：15  

周秋生 《测绘工程》2001,10(1):14-18

讨论了数字地面模型建立的基本要求，提出了边界线的自动搜索和联三角网的算法，实际应用表明，该算法是高速的、有效的、所建立的模型便于实际应用。  相似文献   

GPS无线电掩星反演大气参数中的算法研究   总被引：3，自引：1，他引：3  

蒋虎  黄珹  张运刚 《地球物理学进展》2002,17(3):451-455

针对目前无线电掩星技术反演地球大气参数算法中的不足，给出一种参数代换法，以解决无线电掩星中Abel积分的广义形式不适合高精度地进行数值积分的问题，在大气折射角随待测点的地心距呈指数函数衰减的假定下，对应两种算法分别生成相应的大气折射率，折射率绝对差最大值出现在低层大气，可达到约为7个折射率单位，两者的差异随高度递增逐渐“缩小”；而从折射率的相对差方面考虑，折射率相对差的变化趋势是随高度递增而逐渐增大。  相似文献   

遗传BP算法在洛带气田测井物性解释中的应用   总被引：2，自引：2，他引：2  

杨宇  康志宏  李福军 《新疆地质》2005,23(2):199-202

应用遗传算法(GA)对BP网络进行了改进，并在此基础上，利用多种测井数据及岩心描述资料作为网络模型的学习样本，以测井解释渗透率等参数的神经网络模型为例，通过网络的学习、训练，建立了神经网络模型．应用此模型计算物性参数值，解释结果及精度均令人满意．  相似文献