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1.
城市测量的种类多且内业成果复杂,天津对各项内业成果都有特定的要求,急需一个统一的生产平台。通过对勘测定界、地籍等9类项目进行分析,规范了生产制作流程,制定了描述多种数据格式的标准,设计了系统结构,在AutoCAD基础上开发实现了天津测绘生产自动化系统。系统以项目工程为单元对成果数据进行管理,实现了标准化生产。 相似文献
2.
The living coccolithophores(LCs) are an important class of calcified taxa of phytoplankton functional groups,and major producers of marine biogenic inorganic carbon,playing an important role in the marine carbon cycle.In this study,we report the two-demensional abundance,composition of LCs and its correlation with the environmental parameters in spring and autumn,in order to understand the ecological role of LCs in the Yellow Sea and the Bohai Sea.In spring,totally 9 taxa belonging to coccolithophyceae were identified using a polarized microscope at the 1 000× magnification.The dominant species were Emiliania huxleyi,Gephyrocapsa oceanica,Helicosphaera carteri,and Calcidiscus leptoporus.The abundance of coccosphores and coccoliths ranged 0–7.72cells/m L,and 0–216.09 coccoliths/m L,with the average values of 0.21 cells/m L,and 11.36 coccoliths/m L,respectively.The Emiliania huxleyi distribution was similar to Gephyrocapsa oceanica.The highest abundance of coccoliths was observed in the east of Shandong Peninsula in northern Yellow Sea,whereas Helicosphaera carteri distributed more widely.Emiliania huxleyi and Gephyrocapsa oceanica were the two predominant species in LCs with higher abundances.The distribution of LCs was similar to that of coccoliths.In autumn,14 taxa belonging to coccolithophyceae were identified with dominant species as Emiliania huxleyi,Gephyrocapsa oceanica,Helicosphaera carteri,Calcidiscus leptoporus and Oolithotus fragilis.The abundance of coccosphores and coccoliths ranged 0–24.69 cells/m L,and 0–507.15 coccoliths/m L,with the average values of 1.47 cells/m L,and55.89 coccoliths/m L,respectively.The highest abundance of coccoliths was located in Qingdao coastal waters and south of the survey area.The distribution of LCs was similar to the coccoliths; in addition,LCs presented large abundance in the east of the central Yellow Sea area. 相似文献
3.
为了把不动点问题与平衡问题结合起来以寻找它们的公共解,在Hilbert空间中引入一种变形的Mann迭代程序,用以逼近两个集合的公共点,这两个集合分别是平衡问题的解集和渐近k-严格伪压缩映像的不动点集合,并在适当的条件下,利用混杂投影算法证明了一个关于平衡问题与渐近k-严格伪压缩映像的不动点问题的公共点的强收敛定理. 相似文献
4.
海水中铁的测定方法 总被引：3，自引：0，他引：3
铁在地壳中的丰度为5.6% [1],但是在海水中的浓度却很低 ,特别是大洋中只有0.05～2nmol/L [2]。在整个海水体系的生物地球化学过程中 ,铁是一种举足轻重的元素。特别是对浮游植物 ,铁的重要性远远超过了其它微量元素 ,在植物的光合作用、电子呼吸链、氮的还原、叶绿素合成等方面有重要作用[3]。在类似南大洋[2]和赤道太平洋[4]的海域 ,同其中的主要营养盐 (氮、磷、硅 )的高浓度相比 ,其浮游植物的生物量却很低。近年来的研究表明这些区域的生物量是由铁限制的[5]。赤道太平洋海域(IronEX)[4]和极地南大洋(SORIREE)[6]的表层海水施铁实… 相似文献
5.
海水中铁的几种形态对海生小球藻生长的影响 总被引：2，自引：0，他引：2
通过实验室一次性培养 ,研究不同形态的铁 :Fe3 + ,Fe2 + ,Fe3 + - EDTA,Fe2 + - EDTA以及胶体水合氧化铁在不同条件下对海生小球藻 (Chlorella vulgaris)生长的影响。实验结果表明 ,铁对小球藻生长影响的主要生物活性形式是有机络合态铁和胶体水合氧化铁 ,光诱导还原态 Fe2 + 也很重要。它们都积极促进了藻类的生长繁殖 ,其中 EDTA与铁离子结合的动力学过程并不明显影响藻类吸收铁。小球藻相对生长率的提高和叶绿素 A(Chl.a)的增加取决于铁的总量及其转变为可利用状态的速率 *和藻类的有效吸收。在不同的培养体系中 ,常量营养盐 N、P与 Fe的缺乏对藻类生长起着交互限制作用 ,其中缺 P比缺 N更能减少 EDTA络合铁对小球藻生长繁殖的促进作用。 相似文献
6.
春季黄海浮游植物生态分区:物种组成 总被引：3，自引：1，他引：2
Phytoplanktonic ecological provinces of the Yellow Sea(31.20°–39.23°N, 121.00°–125.16°E) is derived in terms of species composition and hydrological factors(temperature and salinity). 173 samples were collected from 40 stations from April 28 to May 18, 2014, and a total of 185 phytoplanktonic algal species belonging to 81 genera of 7phyla were identified by Uterm?hl method. Phytoplankton abundance in surface waters is concentrated in the west coast of Korean Peninsula and Korea Bay, and communities in those areas are mainly composed of diatoms and cyanobacteria with dominant species of Cylindrotheca closterium, Synechocystis pevalekii, Chroomonas acuta,Paralia sulcata, Thalassiosira pacifica and Karenia mikimotoi, etc. The first ten dominant species of the investigation area are analyzed by multidimensional scaling(MDS) and cluster analysis, then the Yellow Sea is divided into five provinces from Province I(P-I) to Province V(P-V). P-I includes the coastal areas near southern Liaodong Peninsula, with phytoplankton abundance of 35 420×10~3–36 163×10~3 cells/L and an average of 35 791×10~3 cells/L, and 99.84% of biomass is contributed by cyanobacteria. P-II is from Shandong Peninsula to Subei coastal area. Phytoplankton abundance is in a range of 2×10~3–48×10~3 cells/L with an average of 24×10~3cells/L, and 63.69% of biomass is contributed by diatoms. P-III represents the Changjiang(Yangtze River) Diluted Water. Phytoplankton abundance is 10×10~3–37×10~3 cells/L with an average of 24×10~3 cells/L, and 73.14% of biomass is contributed by diatoms. P-IV represents the area affected by the Yellow Sea Warm Current.Phytoplankton abundance ranges from 6×10~3 to 82×10~3 cells/L with an average of 28×10~3 cells/L, and 64.17% of biomass is contributed by diatoms. P-V represents the cold water mass of northern Yellow Sea. Phytoplankton abundance is in a range of 41×10~3–8 912×10~3 cells/L with an average of 1 763×10~3 cells/L, and 89.96% of biomass is contributed by diatoms. Overall, structures of phytoplankton community in spring are quite heterogeneous in different provinces. Canonical correspondence analysis(CCA) result illustrates the relationship between dominant species and environmental factors, and demonstrates that the main environmental factors that affect phytoplankton distribution are nitrate, temperature and salinity. 相似文献
7.
利用行人轨迹挖掘城市区域功能属性 总被引：1，自引：1，他引：0
城市土地利用功能区是城市规划中的一个重要概念,遥感技术手段在城市土地利用类型识别和动态监测中取得了很大进展。然而,由于城市实际功能的复杂,往往很难从遥感影像中获得城市各个区域的社会、经济或文化等功能属性。互联网技术的发展和移动定位设备的普及,极大地便利了行人移动轨迹数据的获取。本文从行人移动规律和模式与城市功能分区之间高度相关的角度出发,通过机器学习的方法,从大量行人轨迹数据中挖掘隐含的城市功能属性与强度。该方法首先利用矢量栅格化和数学形态学方法,将城市不同等级的路网分割为互不相同的空间单元;其次,根据行人轨迹数据的时空分布特点,定义9个变量并构建高斯混合模型(Gaussian mixture model,GMM),对上述空间单元进行非监督分类,得到7种城市用地类型;随后,结合选定的60个样本区以及人为标识的6种功能区(教育用地、绿地休闲区、一般商业区、政府设施、中心商业区、住宅区),依据样本功能区GPS轨迹时间分布特征,最终对7种城市用地类型进行功能配对;最后,利用核密度估计方法进行功能区强度的可视化。该框架结合机器学习的优势,结果具有较高的准确度。 相似文献
8.
竣工测量成果众多,包括各类图表,且图表之间存在各种对应关系,手工操作繁杂易出错。为此本文基于AutoCAD进行二次开发,研制出竣工测量成果自动化生产系统,实现了竣工测量成果中的图、报告和入库数据的快速制作。该软件已经在笔者单位内部广泛使用,并取得了较好的效果。 相似文献
9.
为了评估海洋酸化和富营养化耦合作用对近海浮游生态环境的影响,本研究以天津市近岸海域浮游植物群落的生物地球化学指标为研究对象,分别采用一次性及连续培养的方式模拟自然水华及稳态条件,探究其对二氧化碳(CO2)和硝酸盐浓度变化及二者耦合作用的响应。实验条件设置如下:1)对照:二氧化碳分压p(CO2)40.53 Pa、无硝酸盐添加;2)酸化:p(CO2)101.3 Pa、无硝酸盐添加;3)加N:p(CO2)40.53 Pa、添加硝酸盐50 μmol·L–1;4)酸化加N:p(CO2)101.3 Pa、添加硝酸盐50 μmol·L–1。实验结果表明,硝酸盐加富比酸化更加显著地促进浮游植物群落总叶绿素(Chl a)生物量及颗粒有机碳(POC)和颗粒有机氮(PON)积累,酸化和加N使浮游植物群落粒径大小升高。连续培养实验表明,酸化和N加富对Chl a、生物硅(BSi)、PON浓度、PON与颗粒有机磷(POP)比值(N/P)、POC与BSi比值(C/BSi)及沉降速率有协同交互作用,对POP和POC浓度及POC与PON比值(C/N)有拮抗性交互作用。在一次性培养后,酸化显著降低了浮游植物群落的沉降速率;而在连续培养后,酸化和N加富使浮游植物群落沉降速率显著升高。这些结果表明酸化和N加富对与近岸浮游植物相关的生物地球化学循环及在不同生长阶段的种群碳沉降存在不同的潜在影响及交互效应。 相似文献
10.
Spatial distribution of phaeopigment and size-fractionated chlorophyll a (Chl a) concentrations were examined in relation to hydrographic conditions in the northern South China Sea (NSCS) during a survey from 20 August to 12 September, 2014. The total Chl a concentration varied from 0.006 to 1.488 µg/L with a mean value of 0.259±0.247 (mean±standard deviation) µg/L. Chl a concentration was generally higher in shallow water (<200 m) than in deep water (>200 m), with mean values of 0.364±0.311 µg/L and 0.206±0.192 µg/L respectively. Vertically, the maximum total Chl a concentration appeared at depths of 30–50 m and gradually decreased below 100 m. The size-fractionated Chl a concentrations of grid stations and time-series stations (SEATS and J4) were determined, with values of pico- (0.7–2 µm), nano- (2–20 µm) and micro-plankton (20–200 µm) ranging from 0.001–0.287 (0.093±0.071 µg/L), 0.004–1.149 (0.148±0.192 µg/L) and 0.001–0.208 (0.023±0.036 µg/L), respectively. Phaeopigment concentrations were determined at specific depths at ten stations, except for at station A9, and varied from 0.007 to 0.572 (0.127±0.164) µg/L. Nano-and pico-plankton were the major contributors to total phytoplankton biomass, accounting for 50.99%±15.01% and 39.30%±15.41%, respectively, whereas microplankton only accounted for 9.39%±8.66%. The results indicate that the contributions of microplankton to total Chl a biomass were less important than picoplankton or nanoplankton in the surveyed NSCS. Different sized-Chl a had similar spatial patterns, with peak values all observed in subsurface waters (30–50 m). The summer monsoon, Kuroshio waters, Zhujiang (Pearl) River plume, and hydrological conditions are speculated to be the factors controlling the abundance and spatial heterogeneity of Chl a biomass in the NSCS. 相似文献