伊乐藻-草鱼圈养人工复合生态系统建设的研究

十多年来,在长江中下游浅水湖泊,特别是城郊湖泊,围栏圈养草食性鱼类发展迅速,产量大幅度提高,经济效益明显增长。养鱼过程中,由于大量投喂商品饲料和过量利用湖泊水草资源,加之湖滨人口不断增加等多种原因,导致不少草型湖泊水生植被退化,水草消失,加速了湖泊富营养化进程,湖泊整体功能下降。 伊乐藻是1986年从国外引种东太湖的高等沉水植物,已在东太湖归化,并被广大渔民用作草食性养殖鱼类的饲料。本研究是充分利用伊乐藻的生物学和生态学特性,以及易种植、生物量大、可利用程度高等特点,研究了在浅水湖泊人工种植、采收时间和刈割方法,提高其单位面积产量;测定了草鱼对伊乐藻的消化吸收和饲料系数;研究了伊乐藻在水生态系统中的功能等,从而在浅水湖泊中设计和建设伊乐藻—草鱼圈养人工复合生态系统。即以种植伊乐藻为中心,并以它作为草食性鱼类饲料和在水界物质循环的中介,在湖泊大系统内建立的草—鱼平衡系统,以提高湖泊养鱼产量和其他水产品产量,改善渔业水质和优化湖泊生态环境为主要目的。     

不同碳源对球孢鱼腥藻生长的影响

本文研究了有机碳源和无机碳源对球胞鱼腥藻生长的影响,结果表明:有机碳源中葡萄糖以0.5—1.0μg/mL、蔗糖以5.0μg/mL促进其生长效果最好;无机碳源中,碳酸钠以10.0—15.0μg/mL、碳酸氢钠以10.0μg/mL效果最好。葡萄糖和蔗糖的浓度高低对球孢鱼腥藻叶绿素a的含量没有明显影响,但前者略高于后者。碳酸钠和碳酸氢钠的浓度在5.0μg/mL时均提高了叶绿素a含量。四种碳源都提高了球孢鱼腥藻的同氮活性,有机碳源中蔗糖优于葡萄塘,无机碳源中碳酸钠优于碳酸氢钠。     

青海门源MS6.9地震震前OLR异常与InSAR同震形变关联性分析

对比分析利用涡度距平法提出的2022年1月8日青海门源 M_S6.9 地震震前射出长波辐射(OLR)短期异常分布和震后InSAR技术提取的门源地震同震形变空间分布,结果显示,震前红外辐射增强区与InSAR同震破裂形变区的空间位置基本吻合,扩展形式基本相似(同震破裂形变区分布在红外辐射异常区内部)。在震前的全国范围OLR空间分布上,仅青海德令哈—西宁—甘肃武威一带出现了呈“哑铃”状近WE向展布的OLR热辐射增强区,空间可辨识度高,OLR异常时空演化过程遵循了岩石应力加载破裂过程中的热异常规律,显示热异常变化与应力变化存在关联; InSAR技术提取的同震形变同样位于肃南—祁连断裂(俄堡段)、托莱山断裂和冷龙岭断裂的交汇区。InSAR同震形变结果揭示了地表形变以水平方向为主,断层运动具有典型的走滑变形特征。InSAR同震形变结果为红外遥感反映地震形变提供可检验的地质实体监测证据,验证了门源地震前辐射增强异常是地震构造地应力强度变化的遥感物理参量反映。     

安徽省地震宏观异常日报集成系统

安徽省地震宏观异常日报集成系统是由Android的App、MySQL数据库和PHP网站组合而成的应用管理系统。从设计思路、框架及主要技术实现出发,介绍集成系统的应用成效。     

东海八角亭海洋深井台地震监测

上海市地震局设计、建设的中国第1个真正意义上的海洋深井地震观测台位于东海石油平台上,井深780 m,安装2套JDF-1型地震计进行观测。通过对陆域地震台站记录的大地震进行分析比较、方位校准,采用单台地震分析方法,确定2009年5月—2011年6月记录到的136个地震参数,总结海域地震波形特征。结果表明,该海域地震活动性特征与当地地质构造一致。     

Seismic wavefield modeling based on time-domain symplectic and Fourier finite-difference method

Seismic wavefield modeling is important for improving seismic data processing and interpretation. Calculations of wavefield propagation are sometimes not stable when forward modeling of seismic wave uses large time steps for long times. Based on the Hamiltonian expression of the acoustic wave equation, we propose a structure-preserving method for seismic wavefield modeling by applying the symplectic finite-difference method on time grids and the Fourier finite-difference method on space grids to solve the acoustic wave equation. The proposed method is called the symplectic Fourier finite-difference (symplectic FFD) method, and offers high computational accuracy and improves the computational stability. Using acoustic approximation, we extend the method to anisotropic media. We discuss the calculations in the symplectic FFD method for seismic wavefield modeling of isotropic and anisotropic media, and use the BP salt model and BP TTI model to test the proposed method. The numerical examples suggest that the proposed method can be used in seismic modeling of strongly variable velocities, offering high computational accuracy and low numerical dispersion. The symplectic FFD method overcomes the residual qSV wave of seismic modeling in anisotropic media and maintains the stability of the wavefield propagation for large time steps.     

Near-source noise suppression of AMT by compressive sensing and mathematical morphology filtering

In deep mineral exploration, the acquisition of audio magnetotelluric (AMT) data is severely affected by ambient noise near the observation sites; This near-field noise restricts investigation depths. Mathematical morphological filtering (MMF) proved effective in suppressing large-scale strong and variably shaped noise, typically low-frequency noise, but can not deal with pulse noise of AMT data. We combine compressive sensing and MMF. First, we use MMF to suppress the large-scale strong ambient noise; second, we use the improved orthogonal match pursuit (IOMP) algorithm to remove the residual pulse noise. To remove the noise and protect the useful AMT signal, a redundant dictionary that matches with spikes and is insensitive to the useful signal is designed. Synthetic and field data from the Luzong field suggest that the proposed method suppresses the near-source noise and preserves the signal well; thus, better results are obtained that improve the output of either MMF or IOMP.     

Aerosol properties over an urban site in central East China derived from ground sun-photometer measurements

Sun-photometer measurements at Hefei, an urban site located in central East China, were examined to investigate the variations of aerosol loading and optical properties. It is found that aerosol optical thickness (AOT) keeps higher in winter/spring and gets relatively lower in summer/autumn. The large AOT in winter is caused by anthropogenic sulfate/nitrate aerosols, while in spring dust particles elevate the background aerosol loading and the excessive fine-mode particles eventually lead to severe pollution. There is a dramatic decline of AOT during summer, with monthly averaged AOT reaching the maximum in June and soon the minimum in August. Meanwhile, aerosol size decreases consistently and single scattering albedo (SSA) reaches its minimum in July. During summertime large-sized particles play a key role to change the air from clean to mild-pollution situation, while the presence of massive small-sized particles makes the air being even more polluted. These complicated summer patterns are possibly related to the three key processes that are active in the high temperature/humidity environment concentrating on sulfate/nitrate aerosols, i.e., gas-to-particle transformation, hygroscopic growth, and wet scavenging. Regardless of season, the increase of SSA with increasing AOT occurs across the visible and near-infrared bands, suggesting the dominant negative/cooling effect with the elevated aerosol loading. The SSA spectra under varying AOT monotonically decrease with wavelength. The relatively large slope arises in summer, reinforcing the dominance of sulfate/nitrate aerosols that induce severe pollution in summer season around this city.     

南京地区旅游景点天气预报技术研究

从旅游景点的特点出发，用天气观测事实，结合天气学原理，研制了既科学又切合实际，具有可操作性的旅游景点天气预报的制作技术。将邻近气象站的天然预报作为景点天然预报     

Microseismic events enhancement and detection in sensor arrays using autocorrelation‐based filtering

Passive microseismic data are commonly buried in noise, which presents a significant challenge for signal detection and recovery. For recordings from a surface sensor array where each trace contains a time‐delayed arrival from the event, we propose an autocorrelation‐based stacking method that designs a denoising filter from all the traces, as well as a multi‐channel detection scheme. This approach circumvents the issue of time aligning the traces prior to stacking because every trace's autocorrelation is centred at zero in the lag domain. The effect of white noise is concentrated near zero lag; thus, the filter design requires a predictable adjustment of the zero‐lag value. Truncation of the autocorrelation is employed to smooth the impulse response of the denoising filter. In order to extend the applicability of the algorithm, we also propose a noise prewhitening scheme that addresses cases with coloured noise. The simplicity and robustness of this method are validated with synthetic and real seismic traces.