基于耳石微化学的东海大黄鱼洄游路线推测

近年来,东海频现对大黄鱼（Larimichthys crocea）大网捕获（吨级规模以上）,引起了对衰退中的野生大黄鱼资源保护的担忧。为查明东海野生大黄鱼洄游规律,本文根据2020−2022年在浙江近海产卵场和外海越冬场采集的不同批次野生大黄鱼样本,利用激光剥蚀电感耦合等离子体质谱法（LA-ICP-MS）测定耳石微化学元素,结合聚类分析和主成分分析（PCA）,对不同大黄鱼群体进行了划分,结合耳石的年轮特征,研究大黄鱼群体的栖息生境,推测大黄鱼洄游路线。结果表明,Ba/Ca $\leqslant$0.004 2时可以判定为海洋栖息生境,Ba/Ca $\geqslant$ 0 .008 1时可以判定为河口栖息生境,0.004 2 < Ba/Ca< 0.008 1时可以判定为混合栖息生境。根据该阈值范围,判定本次采样的大黄鱼的5种生境类型：（1）近海产卵,近海混合水域短暂栖息类型（占22.2%）;（2）近海产卵,阶段性往复混合生境栖息类型（占15.6%）;（3）近海产卵,河口水域育幼索饵,外海越冬栖息类型（31.1%）;（4）河口产卵、混合水域育幼,外海越冬栖息类型（6.7%）;（5）近海混合水域短暂产卵,绝大部分时间海洋生境栖息类型（24.4%）。对所有样本的Ba/Ca核心、峰值和边缘值进行PCA,5种栖息类型的样本均匀分布在第一轴的两侧,大部分时间都在海洋生境中的G1、G2和G5,以及受陆源影响较大的G3和G4。同时,PCA结果同时也显示,5种类型样本均会近同步地在近海岛礁处出现,这表明外海、近海和河口的群体由于洄游等因素的影响会出现混合,说明了舟山岛礁水域对大黄鱼产卵育幼的重要性。本研究为东海大黄鱼近海产卵场、索饵场和外海越冬场之间洄游履历,以及大黄鱼洄游路线推测提供一定依据。     

The Unusual Absorption Line Spectrum of Quasar SDSS J2220+0109

We report the Balmer broad absorption lines (BALs) in the quasar SDSS J2220 + 0109 discovered from the SDSS data, and present a detailed analysis of the peculiar absorption line spectrum, including the He I* multiplet at λλ3189, 3889 arising from the metastable 2³s-state helium and the Balmer Hα and Hβ lines from the excited hydrogen H I of n = 2 level, which are rarely seen in quasar spectra, as well as many absorption lines arising from the excited Fe II* of the levels 7 955 cm⁻¹, 13 474 cm⁻¹ and 13 673 cm⁻¹ in the wavelength range 3100∼3300 Å. Ca II H, K absorption line doublets also clearly appear in the SDSS spectrum. All absorption lines show a similar blueshifted velocity structure of Δv ≈ − 1500 ∼ 0 km·s⁻¹ relative to the quasar's systematic redshift determined from the emission lines. Detailed analysis suggests that the Balmer absorption lines should arise from the partially ionized region with a column density of N_HI ≈ 10²¹ cm⁻² for an electron density of ne ∼ 10⁶ cm⁻³; and that the hydrogen n = 2 level may be populated via collisional excitation with Lyα pumping.     

A Time Evolution Study of the Superhumps of the Dwarf Nova 1RXS J232953.9+062814 by Wavelet Transform

The time evolution behaviour of the superhumps of the dwarf nova1RXS J232953.9+ 062814 is investigated with the wavelet analysis method. On the basis of two nights CCD photometry performed during its first superoutburst as well as other published brightness data, we reveal the superhump's time-dependence as a function of periods and time. Our light curves, which phased in the rapid decay ending portion of the superoutburst and in the dawn of a following normal outburst, are important to help trace the superhump evolution for the star. Both the superhump period and the orbital period of the binary system are detected in the present data. We obtain P _sh=0.0458±0.0002d and P _orb=0.0450±0.0002d. They agree with those existing values. The two periods exchanged their roles during the superhump evolution. The general profile of brightness fading over the outbursts roughly followed an exponential decay law or a form of a five-order polynomial. This revised version was published online in July 2006 with corrections to the Cover Date.     

The Important Role Played by Atmospheric Angular Momentum in the Non-linear Prediction of the Variations in the Length of Day

The variation in the length of day has complicated time-varying characteristics and the traditional method for linear time series analysis is always difficult to obtain good effect of prediction. If the non-linear artificial neural network technique is adopted to predict the variation in the length of day, the topological structure of the network model is determined by the least square error method. By taking into account the close relation between the variation in the length of day and the general circulation of atmosphere, the axial sequence of atmospheric angular momentum is introduced into the forecasting model of neural network. The results show that the forecast accuracy is significantly improved by taking advantage of the combination of the length of day and the atmospheric angular momentum sequence in comparison with the individual adoption of the data of the length of day.     

Impact of user parameters in inversion velocity analysis

Migration velocity analysis is a method devoted to the evaluation of both reflectivity and background velocity models, associated with the high and low wavenumber components of the model, respectively. Inversion velocity analysis is one of its improved versions, leading to more stable background velocity updates. Still, the impact of the user parameters should be understood for an optimal update of the background velocity. We show that a sign reversal of the background velocity gradient could occur when the selected surface offset range or the space lag range is too small. We derive the theoretical limits and check their consistency through simulations in a simple model with a single interface. These guidelines determine the necessary ranges of surface offsets and space lags for a proper update of the background velocity model. We discuss their applicability on the Marmousi model. Artefacts in the retrieved background velocity model are observed when the guidelines are not satisfied.     

喀斯特高原盆地聚落空间演变——以贵州省红枫湖水系盆地为例

贵州是我国喀斯特分布最广的地区,喀斯特高原盆地是贵州主要的人口聚集地。充分认识高原盆地聚落的空间分布及其演化态势,对区域城镇规划、社会主义新农村建设及可持续发展有重要意义。以红枫湖水系盆地为例,基于GIS技术及相关软件,主要利用景观格局指数、Moran’s I系数以及居民点数据与等高线数据的空间叠置及转换技术,从水平和垂直两个维度对案例地区聚落空间分布的变化进行研究。研究表明:喀斯特高原盆地聚落的空间分布和演变具有强烈的喀斯特地域基因,在喀斯特地貌的限制下聚落总体分布分散;近年来聚落规模不断增加,在局部有一定小规模集聚并随地形限制而表现出不同的集聚形式和集聚程度;而随着数量的增多和规模的增大,聚落形态更为复杂且景观趋于破碎,空间分布更加复杂;喀斯特地貌的垂直空间特点在决定聚落的垂直分布及演变规律的同时也加剧了聚落空间分布的复杂性。     

广州市人口空间分布特征及演变趋势分析

本文分析了广州市人口空间分布现状特征，历史上发展特点和建国后至改革开放前人口发展情况，并对改革开放以来人口空间分布的变化作了动态分析，发现改革开放以前广州市中心区和郊区人口密度都在增加，但市中心区增加较快，而改革开放以来在广州市总人口较速增长的情况下，内部人口变动日趋明显，中心区人口密度在减少，外围区人口密度在增加，认为广州市的人口分布正从年龄阶段转向成熟阶段。