EWT-Elman组合模型短期电离层TEC预报

针对电离层总电子含量(TEC)非线性、高噪声的特点,建立基于经验小波变换(EWT)和Elman神经网络的短期电离层组合预报模型。运用该模型对不同地磁环境的电离层TEC时间序列进行建模预报,结果表明,EWT-Elman组合模型可反映电离层TEC的变化特征,地磁平静期预测平均相对精度为93%,均方根误差为1.04 TECu;地磁扰动期预测平均相对精度为92.4%,均方根误差为2.18 TECu。单一Elman模型、EMD-Elman组合模型以及EWT-BP组合模型在地磁平静期平均相对精度最高为90.7%,均方根误差最小为1.33 TECu;地磁扰动期平均相对精度最高为90.7%,均方根误差最小为2.57 TECu。对比其他模型,本文方法预测效果最优。     

Transformation of Carbon and Nitrogen by Earthworms in the Decomposition Processes of Broad-leaved Litters

Earthworms are the important constituents in the decayed food web and the main ecological conditioners in the process of decomposition and nutrient mineralization. The transformation of organic carbon (C) and total nitrogen (N) in the broad-leaved litters ingested by earthworms was researched by means of a laboratory experiment. Experimental samples were collected from broad-leaved Korea Pine mixed forest in Liangshui National Natural Reserve (47°10′50″N, 128°53′20″E) in the northeastern Xiao Hinggan Mountains of Northeast China. The contents of organic C and total N in earthworms, leaf litters and earthworm faeces were analyzed. Results show that the organic C content was in the fol- lowing order: leaf litters>faeces>earthworms, while total N content was contrary to that of the organic C. The organic C contents in the different leaf litters were in the following order: Tilia amurensis>Betula costata>Acer mono, whereas the total N contents in the different leaf litters were: Betula costata>Tilia amurensis>Acer mono. The contents of organic C and total N in the faeces from the different leaf litters were almost consistent with the contents of the leaf litters. After the leaf litters were ingested by earthworms, the organic C, which was transformed to increase earthworms' weights, ac- counted for 3.90%-13.31% of the total ingestion by earthworms, while that in the earthworm faeces accounted for 6.14%-13.70%. The transformed organic C through the other metabolism (e.g., respiration) of earthworms accounted for 75.04%-89.92%. The ingested organic C by earthworms was mostly used for metabolic activities. The N ingested by earthworms was less than organic C. It is estimated that 37.08% of total N was transformed to increase the earthworm's weight, 19.97% into earthworm faeces and 47.86% for the consumption of the earthworm's activities. The earthworms not only increased the content of organic C and total N in the soil, but also decreased the values of C/N in the soil and leaf litters. Earthworms play a major role in the leaf litters' decomposition and transformation.     

不等式约束Partial EIV模型的WHP拟牛顿修正解法及其精度评定的SUT法

提出一种确定不等式约束Partial EIV模型解及精度评定的新方法,在总体最小二乘准则下,将附有不等式约束的Partial EIV模型转换为标准最优化问题。采取WHP拟牛顿修正的SQP方法求解,并利用SUT法对参数估值进行精度评定,可以减小迭代次数、提高收敛速度,且精度评定方法简单有效。     

概括平差模型的解法探讨

分析了概括平差模型系数矩阵可能出现非列满秩情况的原因,研究了如何使系数矩阵为列满秩矩阵,避免了系数矩阵为非列满秩时的复杂解算过程。     

特殊情况下深基坑围护测斜及变形浅析

结合工程实例具体阐述当测斜管不能正常使用情况下运用全站仪代替测斜仪进行深基坑围护结构的倾斜测量,同时运用岩土工程相关知识对所得监测数据表现的变形及突变原因作了深入分析,获得了预期的安全监测成果,确保了深基坑工程的顺利实施。为今后类似情况的处理提供借鉴。     

提高对流层天顶总延迟解算精度的新方法探讨

对流层天顶总延迟的解算精度,直接影响长基线解算的精度和大气水汽含量的计算精度。文中提出克利金内插法解算天顶总延迟的新方法,并利用南极长城站和周边IGS跟踪站的GPS数据,通过高精度解算软件GAMIT/GLOBK,解算出长城站上空的对流层天顶总延迟,将其与利用内插方法解算的天顶总延迟进行了对比分析,得出:利用该内插方法获取的南极长城站在夏季的天顶总延迟的均方差可达0.2mm,这对今后GPS高精度定位和GPS气象学应用来说,具有重要意义。     

云顶以下臭氧对TOMS反演臭氧总量的影响及反演方法的理论研究

目前紫外后向散射反演臭氧总量的所有算法,都将云考虑成不透明的Lambertian反射体,并假定云顶有效反照率不随波长的变化而变化.然而本文通过模拟计算发现,由于云散射、瑞利散射、臭氧吸收三种作用的综合结果,云顶的有效反照率是与波长相关的,即使光学厚度比较大的云,辐射也可由云顶继续向下传输,因而会受到云顶以下臭氧吸收的影响.用V7方法进行反演,模拟计算结果表明：云的出现使得云顶以下,特别是云内光程增强,导致紫外波段的臭氧吸收衰减增大,所以反演出的臭氧总量值比真实值偏大,本文称这种现象为“云吸收效应”,并讨论了该效应的影响因子.最后,在辐射传输模拟的基础上建立一套反演算法,大大减弱了“云吸收效应”的影响.     

地震期间电离层扰动现象研究

介绍了大量的关于地震电离层扰动现象研究的最新进展,研究表明地震发生前的几天或者几个小时电离层扰动被观测到,电离层前兆是确实存在.但要将震前的电离层扰动作为地震短临预报的工具,还有许多值得我们去深入研究和解决的问题.应用空间技术开展大区域范围内电离层参数的实时观测,如用地震电磁卫星、GPS台网、并和地面电离层垂测仪观测相结合,建立“电离层地震前兆监测系统”,无疑会加速这项研究的进程.     

三维三分量CSAMT法有限元正演模拟研究初探

首先从麦克斯韦方程出发,用伽里金方法推导了三维三分量CSAMT法的有限元方程.在研究过程中,认识到加入散度条件的必要性,在公式中强加了散度条件,提高了解的完备性.其次将成功应用于二维线源频率域电磁法有限元模拟中的两种技术推广到三维中,一是边界条件统一采用一阶吸收边界,使线源产生的电磁波在边界上按波的传播规律被吸收,以降低平面波假设造成的影响;二是总体系数矩阵的存储,用两个二维数组分别记录总体系数矩阵的非零元素及其在总体结点编号中所处的位置,使总体系数矩阵的存储量达到最小的同时,物理意义明确,迭代求解时迅速简便.最后用均匀半空间模型进行了验证.     

河北沧州市臭氧质量浓度与气象因子的关系分析

利用2014—2020年河北沧州逐小时气象与环境监测数据,对沧州市臭氧(O₃)污染加剧现状及其与气象因子的关系进行分析。结果表明：(1)沧州地区O₃污染呈加剧态势,且O₃已上升为该地区首要污染物;O₃污染集中出现在5—9月,O₃质量浓度日变化呈单峰单谷型,最大浓度出现在16:00前后;(2)5—9月O₃日最大8 h平均质量浓度(简称“O₃-8 h”)所处时段,平均气温、最高气温、相对湿度、总辐射辐照度与O₃质量浓度的相关性较好,本站气压、水汽压和平均风速与O₃质量浓度的相关性未通过显著性检验;(3)5—9月O₃-8 h时段,当同时满足8 h平均气温高于30.9℃、最高气温高于32.7℃、平均相对湿度低于42.1%、平均总辐射辐照度高于505.8 W·m^-2时,出现O₃污染的概率达84%;(4)气象因子不是O₃