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为充分利用先进设备和技术,提高我国海域使用动态监管水平,文章介绍无人机全景技术及其作业流程,并分析大笔架山海域无人机全景监视监测实例。研究结果表明:目前全景图主要利用普通相机拍摄的照片经专业图像软件后期处理生成,在多个行业领域应用,结合无人机的利用可大大扩展视野,具有快速高效、安全可靠和操作简便等优势,但在测量、自动化和视距等方面仍存在局限性;无人机全景图作业主要包括方案制订、数据获取、数据处理和图像发布4个步骤;海域无人机全景监视监测工作的开展为大笔架山海域使用动态监管提供有力的数据支撑。 相似文献
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Human Health Risk Assessment Model of Organic Pollution in Groundwater: Shijiazhuang Industrial Zone
In this study, a risk-based management model is developed and applied to an industrial zone. The models proposed by the United States Environmental Protection Agency and Han Bing have been improved by adding a residual ratio of volatile organic compounds (VOC) after boiling and deleting the related parameters in half-life. Using this improved model, an integrated process was used to assess human health risk level in the study area. Compared with water quality analysis, the results highlight the importance of applying an integrated approach for decision making on risk levels and water protection. The results of this study demonstrated that: (1) Compared with these permissible level standards in China (GB 3838-2002) and National Primary Drinking Water Regulations of the United States, the residents’ daily life had not been affected by the groundwater in this area (except for relative bad water quality of HB3-4 and HB3-6); (2) The typical detected organic contaminants of all groundwater samples were chloroform, carbon tetrachloride, trichloroethylene and tetrachloroethene, and the pollution sources were mainly industrial sources by preliminary investigations; (3) As for groundwater, the non-carcinogenic risk values of all samples do not exceed the permissible level of 1.0 and the carcinogenic risk values are relatively lower than the permissible level of 1.00E-06 to 1.00E-04; (4) Drinking water pathway of trichloroethylene and tetrachloroethylene mainly contribute to increasing the health risk of residents’ in study areas; (5) In terms of non-carcinogenic risk and carcinogenic risk, the health risk order for drinking water pathway and dermal contact pathway was: drinking water pathway > dermal contact pathway. 相似文献
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清岭沟位于四川省青川县碾子村五社,该区工程地质条件复杂。"5.12"地震后沟内出现大量崩塌落石和松散堆积物,为泥石流的爆发提供了充足的物源,2008年8月清岭沟地区发生连续强降雨,8月25日清岭沟爆发了泥石流。目前沟源及沟道两侧发育一处规模较大的潜在不稳定斜坡、三处规模较大的危岩体、一处形成于"5.12"地震期间的崩塌堆积物,一旦遭遇暴雨等不良地质作用这些潜在物源极易失稳,成为清岭沟泥石流的物源,使清岭沟再次发生泥石流灾害,威胁清岭沟下游村落及公路。通过野外对清岭沟进行地质调查、室内试验和动力学特征分析提出了UX—150型泥石流栅栏、拦砂坝、排导槽和桥涵改造的综合治理措施。 相似文献
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本文系统地报道了内蒙古北部乌日尼图地区阿仁绍布辉长岩的主量元素、微量元素和稀土元素特征,重点讨论了阿仁绍布辉长岩体的岩石成因、原始岩浆的源区特征及其地质意义。研究结果表明,阿仁绍布辉长岩体SiO2含量为49.62%,Al2O3为17.34%,CaO为8.94%,TiO2为1.44%,P2O5为0.26%;岩石富集LILE、亏损HFSE。岩体的Mg#值(0.28~0.68,平均为0.52)较高,反映原始岩浆具幔源原生玄武岩浆特征,在上升过程中经历的结晶分异程度较低。U-Pb锆石年龄测定结果为309±2Ma,代表了阿仁绍布辉长岩体的结晶年龄,为晚石炭世。计算出石英结晶温度为928℃,斜长石结晶温度为1206℃;岩浆冷凝矿物共结晶时的深度大于10km,其结晶条件代表岩体侵位时的物理环境,是在较深的岩浆房中结晶的。阿仁绍布辉长岩具有大陆边缘弧的地球化学特征,可能反映在岩浆形成之前,地幔源区发生了俯冲交代富集作用。 相似文献
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Saishitang Cu-polymetallic deposit is located in the southeast section of Late Paleozoic arcfold in the southeastern margin of Qaidam platform. Accoring to the geological process of the deposit,four mineralization episodes were identified: melt/fluid coexisting period(O),skarn period(A),first sulfide period(B) and second sulfide period(C),and 10 stages were finally subdivided. Three types of inclusions were classified in seven stages,namely crystal bearing inclusions(type I),aqueous inclusions(type II) and pure liquid inclusions(type III). Type I and II inclusions were observed in stage O1,having homogenization temperature from 252 to 431°C,and salinities ranging from 24.3% to 48.0%. Type I inclusion was present in stage A1,having homogenization temperature from 506 to 548°C,and salinities ranging from 39.4% to 44.6%. In stage B1,type II and III inclusions were observed,with homogenization temperature concentrating between 300–400°C,and salinities from 0.4% to 4.3%. Type II inclusions were present in stage B2,with homogenization temperature varying from 403 to 550°C. In stage C1,type I and II inclusion commonly coexisted,and constituted a boiling inclusion group,having homogenization temperatures at 187–463°C,and salinities in a range of 29.4%–46.8% and 2.2%–11.0%. Type II and III inclusions were developed in stage C2,having homogenization temperature at 124–350°C,and salinities ranging between 1.6% and 15.4%. In stage C3,type II and III inclusions were presented,with a homogenization temperature range of 164–360°C,and salinities varying from 4.0% to 11.0%. The results of micro-thermal analysis show that fluids are characterized by high temperature and high salinity in stage O1 and A1,and experienced slight decrease in temperature and dramatic decrease in salinity in stage B1 and B2. In stage C1,the salinity of fluid increased greatly and a further decrease of temperature and salinity occurred in stage C2 and C3. Fluids boiled in stage C1. With calculated pressure of 22 MPa from the trapping temperature of 284–289°C,a mineralization depth of 2.2 km was inferred. Results of Laser Raman Spectroscopy show high density of H2 O,CH4 and CO2 were found as gas composition. H-O isotope study indicates the oreforming fluids were the mixture of magmatic water and meteoric water. Physicochemical parameters of fluids show oxygen and sulfur fugacity experienced a decrease,and redox state is weakly reducing. Along with fluid evolution,oxidation has increased slightly. Comprehensive analysis shows that melt exsolution occurred during the formation of quartz diorite and that metal elements existed and migrated in the form of chlorine complex. Immiscible fluid separation and boiling widely occurred after addition of new fluids,bringing about dissociation of chlorine-complex,resulting in a great deal of copper precipitation. In conclusion,Saishitang deposit,controlled by regional tectonics,is formed by metasomatism between highly fractionated mineralization rock body and wall rock,and belongs to banded skarn Cu-polymetallic deposit. 相似文献
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针对高光谱数据预处理中传统降维算法的不足,文章提出采用线性局部切空间排列(LLTSA)算法进行降维,并在低维空间中,以数据点到背景流形的最小距离为度量进行异常目标检测。面向异常目标检测问题的降维算法,需要考虑计算量和异常污染两个问题:为减少计算量,选择图像中一部分具有代表性的训练数据进行LLTSA降维并求取用于泛化的投影矩阵;为避免异常信息对背景特性的影响,应该选择不含异常的背景训练数据建立背景流形。背景训练点的选择基于递归多层分割算法,结合分割块的大小和分割块被近邻点重构的误差,去除分割结果中可能包含异常的区域并尽可能多地保留背景信息。实验结果表明LLTSA可以利用少数特征有效区分背景和异常,基于LLTSA的检测算法比经典RX和核RX算法具有更好的异常检测性能。 相似文献