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Internal seiches in a karstic mesotrophic lake (Prošće, Plitvice Lakes, Croatia) 岩溶中营养湖泊中的内部裂缝(克罗地亚普利特维斯湖Prošće)
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2020-12-23 DOI: 10.15233/gfz.2020.37.11
Z. Klaic, Karmen Babić, T. Mareković
A lake temperature experiment was performed at the Prošće, Plitvice Lakes, Croatia during a 4-month observational period (6 July–4 November, 2019) to investigate the occurrence and characteristics of internal seiches in the lake. Two-minute mean lake temperatures were measured at a single lake point at fifteen depths ranging from 0.2 to 27 m. Analysis of these data provided insight into the previously unknown and rather complex Prošće Lake seiching. Power spectral densities (PSDs) and magnitude-squared coherences (γ2), together with corresponding cross-spectrum phases that were obtained from the hourly mean lake temperature, air pressure and wind speed data, suggested the presence of three vertical modes of an internal seiche. The first mode (V1H1, period of 6.09 h) corresponds to free baroclinic oscillations; the second mode (V2H1, period of 11.64 h) and the third mode (V3H1, period of 25.60 h) are associated with forced baroclinic oscillations of the lake interior. Excitation of the higher vertical modes is attributed to the influence of dense tributary water.Due to this water influence, vertical temperature gradients in the lake interior were relatively weak; consequently, a single thick metalimnion and/or two metalimnetic layers were established, which resulted in the presence of the V2H1 and V3H1 modes, respectively. Additionally, due to the influence of tributary water, the lake did not attain the typical stratification that is characterized by hypolimnetic temperatures of ≈ 4°C. Instead, during the entire observational period, the hypolimnetic temperatures were consistently above 7.6 °C.
在克罗地亚Plitvice湖的Prošće进行了为期4个月的观测期(2019年7月6日至11月4日)的湖泊温度实验,以调查湖泊内部裂缝的发生和特征。在0.2至27米的15个深度的单个湖泊点测量了两分钟的平均湖泊温度。对这些数据的分析使我们得以深入了解以前未知且相当复杂的Prošć湖。功率谱密度(PSD)和震级平方相干(γ2),以及从每小时平均湖泊温度、气压和风速数据中获得的相应的互谱相位,表明存在内部地震的三种垂直模式。第一种模式(V1H1,周期6.09h)对应于自由斜压振荡;第二模式(V2H1,周期11.64小时)和第三模式(V3H1,周期25.60小时)与湖泊内部的强迫斜压振荡有关。较高垂直模式的激发归因于密集支流水的影响。由于这种水的影响,湖泊内部的垂直温度梯度相对较弱;因此,建立了单个厚金属离子和/或两个金属网层,这分别导致V2H1和V3H1模式的存在。此外,由于支流水的影响,该湖没有达到以≈4°C的低湖温为特征的典型分层。相反,在整个观测期内,低气候温度始终高于7.6°C。
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引用次数: 2
Calculating the characteristics of flash floods on small rivers in the Mountainous Crimea 计算克里米亚山区小河流的山洪特征
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2020-07-01 DOI: 10.15233/gfz.2020.37.3
V. Ovcharuk, E. Gopchenko, O. Todorova, Kateryna Myrza
The maximal surface runoff from territory of the Crimean Mountains is represented as a runoff of small rivers that flow through the western and eastern part of the northern slope and from the southern coast. The materials from 54 water gauging stations (WGS) were used to characterize the maximum runoff during rain and meltwater-rain floods on the rivers in the Crimean Mountains. A modified reduction structure of a calculation formula was used for valuation of the maximal runoff of different origin flash flood for rivers at the Mountainous Crimea. The main parameters of the proposed model are summarized as dependencies on the average height of the catchments and generalized in the form of a map. It is also possible to use the second variant of the suggested method taking into account the factor of underlying surface is introduced. Comparison of the calculated values of maximal runoff shows good convergence with both the initial information, and the largest values in the observation period.
来自克里米亚山脉领土的最大地表径流被表示为流经北部斜坡西部和东部以及南部海岸的小河径流。利用来自54个水位监测站(WGS)的资料,对克里米亚山脉河流在降雨和融水-雨水洪水期间的最大径流量进行了表征。采用一种计算公式的改进约简结构,对克里米亚山区河流不同来源山洪的最大径流量进行了评估。提出的模型的主要参数被总结为对集水区平均高度的依赖关系,并以地图的形式进行概括。考虑到下垫面的因素,也可以使用所建议方法的第二种变体。最大径流量计算值与初始信息和观测期内的最大值均有较好的收敛性。
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引用次数: 2
Assessment and evaluation of ambient PM2.5 in relation to its health effects in mineral-based coal-fired areas 以矿物为基础的燃煤地区环境PM2.5及其健康影响的评估
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2020-07-01 DOI: 10.15233/gfz.2020.37.1
S. Pervez, R. Sahu, Y. Pervez, M. Deb, S. Tiwari, J. Matawle, S. Bano, M. Tripathi
Atmospheric PM2.5 pollution, has shown potential impact on the human health in general, thus it requires to look into the chemical characteristics of PM2.5 masses for designing effective policies to reduce health risks amongst public under exposure. The study carried out, here, has presented the ambient PM2.5 concentrations, concentrations of chemical components and associated health risks over rural and urban environments in the area of mineral based coal-fired industrial areas of central India for a period of one year (2015–16). Overall 260 PM2.5 samples, collected from rural, urban and industrial sites, were analyzed for various elements Al, As, Ca, Hg, Cr, Co, Cu, Fe, Mn, K, Cd, Mo, Ni, Pb, Se, Sb, Na, Mg, K, V and Zn, ions such as Na+, Mg2+, K+, Ca2+, F–, Cl–, NH4, NO3, SO4 and carbonaceous matter. The annual average PM2.5 mass concentrations were found to be ~2 to ~6 folds higher than the annual National Ambient Air Quality standard (40 μg m–3). Further this study also evaluates, carcinogenic and non-carcinogenic health risks associated with ambient PM2.5 exposures (via ingestion, inhalation and dermal). The elemental species that have shown non-carcinogenic risks for both children and adults of all three sites are: Co, Mn, Ni (rural), As, Cd, Cr, Mn, Ni, V (urban and industrial sites). Similarly, the excess carcinogenic risks, in total, from Cd, Co, Cr, Ni, Pb was found to be higher than acceptable limits (10–6 to 10–4).
大气PM2.5污染已显示出对人类健康的潜在影响,因此需要研究PM2.5物质的化学特征,以制定有效的政策来降低暴露在空气中的公众的健康风险。在这里进行的研究展示了印度中部以矿物为基础的燃煤工业区一年(2015-16年)的环境PM2.5浓度、化学成分浓度以及农村和城市环境中的相关健康风险。对从农村、城市和工业现场采集的260个PM2.5样本进行了各种元素Al、As、Ca、Hg、Cr、Co、Cu、Fe、Mn、K、Cd、Mo、Ni、Pb、Se、Sb、Na、Mg、K、V和Zn、Na+、Mg2+、K+、Ca2+、F-、Cl-、NH4、NO3、SO4和碳质的分析。PM2.5的年平均质量浓度比国家环境空气质量年度标准(40μg m–3)高出约2至约6倍。此外,本研究还评估了与环境PM2.5暴露(通过摄入、吸入和皮肤)相关的致癌和非致癌健康风险。对所有三个地点的儿童和成人都显示出非致癌风险的元素种类是:Co、Mn、Ni(农村)、As、Cd、Cr、Mn、镍、V(城市和工业地点)。同样,Cd、Co、Cr、Ni、Pb的过量致癌风险总的来说高于可接受的限度(10-6至10-4)。
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引用次数: 6
Different effects of latent heat in planetary boundary layer and cloud microphysical processes on Typhoon Sarika (2016) 行星边界层潜热和云微物理过程对台风Sarika(2016)的不同影响
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2020-07-01 DOI: 10.15233/gfz.2020.37.4
Jiangnan Li, Youlong Chen, Wenshi Lin, Fangzhou Li, Chenghui Ding
Three simulation experiments were conducted on Typhoon (TC) “Sarika” (2016) using the WRF model, different effects of the latent heat in planetary boundary layer and cloud microphysical process on the TC were investigated. The control experiment well simulated the changes in TC track and intensity. The latent heat in planetary boundary layer or cloud microphysics process can affect the TC track and moving speed. Latent heat affects the TC strength by affecting the TC structure. Compared with the CTL experiment, both the NBL experiment and the NMP experiment show weakening in dynamics and thermodynamics characteristics of TC. Without the effect of latent heat, the TC cannot develop upwards and thus weakens in its intensity and reduces in precipitation; this weakening effect appears to be more obvious in the case of closing the latent heat in planetary boundary layer. The latent heat in planetary boundary layer mainly influences the generation and development of TC during the beginning stage, whereas the latent heat in cloud microphysical process is conducive to the strengthen and maintenance of TC in the mature stage. The latent heat energy of the cloud microphysical process in the TC core region is an order of magnitude larger than the surface enthalpy. But the latent heat release of cloud microphysical processes is not the most critical factor for TC enhancement, while the energy transfer of boundary layer processes is more important.
利用WRF模型对台风“莎莉卡”(2016)进行了三次模拟实验,研究了行星边界层潜热和云微物理过程对TC的不同影响。对照实验很好地模拟了TC轨迹和强度的变化。行星边界层或云微物理过程中的潜热会影响TC的轨迹和移动速度。潜热通过影响TC结构来影响TC强度。与CTL实验相比,NBL实验和NMP实验都表明TC的动力学和热力学特性有所减弱。如果没有潜热的影响,TC就无法向上发展,从而强度减弱,降水量减少;这种减弱效应在关闭行星边界层潜热的情况下显得更加明显。行星边界层的潜热主要影响TC在初始阶段的产生和发展,而云微物理过程的潜热有利于TC在成熟阶段的增强和维持。TC核心区云微物理过程的潜热比表面焓大一个数量级。但云微物理过程的潜热释放并不是TC增强的最关键因素,而边界层过程的能量传递更为重要。
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引用次数: 4
Regional analysis of wind velocity patterns in complex terrain 复杂地形中风速模式的区域分析
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2020-01-31 DOI: 10.15233/gfz.2019.36.6
R. Belu, D. Koracin
Wind energy is a weather and climate-dependent energy resource with natural spatio-temporal variabilities at time scales ranging from fraction of seconds to seasons and years, while at spatial scales it is strongly affected by the terrain and vegetation. To optimize wind energy systems and maximize the energy extraction, wind measurements on various time scales as well as wind energy forecasts are required and needed. This study focuses on spatio-temporal characteristics of the wind velocity in complex terrain, relevant to wind energy assessment, operation, and grid integration, using data collected at 11 towers ranging from 40 to 80 m tall over a 12-year period in complex terrain of westerncentral and northern Nevada, USA. The autocorrelation analysis, Detrended Fluctuation Analysis (DFA) and Detrended Cross-Correlation Analysis (DCCA) showed strong coherence between the wind speed and direction with slowly decreasing amplitude of the multi-day periodicity with increasing lag periods. Besides pronounced diurnal periodicity at all locations, statistical analysis and DFA also showed significant seasonal and annual periodicities, long-memory persistence with similar characteristics at all sites and towers with a relatively narrow range of the Weibull parameters. The DCCA indicates similar wind patterns at each tower, and strong correlations between measurement sites in spite of separations of about 300 km across the towers’ setup. The northern Nevada area exhibits higher wind resource potential and higher wind persistence compared to the western-central region. Overall, the DFA and DCCA results suggest higher degree of complementarity among wind data at measurement sites compared to previous standard statistical analysis.
风能是一种依赖于天气和气候的能源,在从几秒到季节和年份的时间尺度上具有自然的时空变化性,而在空间尺度上,它受到地形和植被的强烈影响。为了优化风能系统并最大限度地提高能量提取,需要各种时间尺度上的风力测量以及风能预测。本研究利用美国内华达州中西部和北部复杂地形中11座40至80米高的塔架在12年内收集的数据,重点研究了复杂地形中风速的时空特征,这些特征与风能评估、运营和电网整合有关,去趋势波动分析(DFA)和去趋势互相关分析(DCCA)表明,风速和风向之间具有较强的相干性,多日周期的振幅随着滞后期的增加而缓慢减小。除了在所有地点都有明显的日周期性外,统计分析和DFA还显示出显著的季节性和年周期性,在威布尔参数范围相对较窄的所有地点和塔架都具有相似特征的长记忆持久性。DCCA表明,每座塔的风型相似,尽管塔的设置间隔约300公里,但测量点之间的相关性很强。与中西部地区相比,内华达州北部地区表现出更高的风资源潜力和更高的风力持续性。总体而言,DFA和DCCA的结果表明,与之前的标准统计分析相比,测量点的风数据具有更高程度的互补性。
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引用次数: 1
General overview of the potential effect of extreme temperature change on society and economyin Poland in the 21st century 21世纪极端气温变化对波兰社会和经济的潜在影响概述
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2020-01-31 DOI: 10.15233/GFZ.2019.36.14
Joanna Jędruszkiewicz, J. Wibig
This work gives an overview on how the projected changes in the extremes in Poland might impact human health and economy. For that purpose, statisti-cally corrected data from 7 regional climate models were used. A significant increase of extreme hot events (i.e. heat waves, tropical nights) is projected for Central and Southern Poland for the end of the 21st century which might seri-ously affect a society living in large urban areas. Less extreme cold events im-prove thermal comfort in winter. The negative impact of the warming will affect energy systems with higher demand for electricity in summer and agriculture: an earlier beginning of the growing season and flower blooming will enhance the risk of frost damages in spring, whereas excessive heat will reduce yields in summer. Polish tourism should benefit from higher thermal comfort (except for hot July and August in the far future and warming in the winter season bring-ing snow cover depletion in the near future).
这项工作概述了预计波兰极端气候的变化如何影响人类健康和经济。为此,使用了来自7个区域气候模式的经统计校正的数据。预计到21世纪末,波兰中部和南部的极端高温事件(即热浪、热带夜)将显著增加,这可能严重影响生活在大城市地区的社会。较少的极端寒冷天气改善了冬季的热舒适。气候变暖的负面影响将影响夏季电力需求较高的能源系统和农业:生长季节提前开始和开花将增加春季霜冻损害的风险,而过热将减少夏季的产量。波兰旅游业将受益于更高的热舒适(除了在遥远的将来炎热的7月和8月,以及在不久的将来冬季变暖导致积雪减少)。
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引用次数: 2
Fractal analysis of seismoacoustic signals of near-surface sedimentary rocks in Kamchatka 堪察加半岛近地表沉积岩地震声信号的分形分析
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2020-01-31 DOI: 10.15233/GFZ.2019.36.15
S. Imashev, M. Mishchenko, M. Cheshev
We studied, by the mono- and multifractal detrended fluctuation analysis (DFA), time fluctuations in the dynamics of seismoacoustic data, recorded in Karymshina site, which is located in a seismic area of Kamchatka. We took a series of seismoacoustic responses to the regional seismic events with the mag-nitudes M > 4 for the period 2017–2018. The series was divided into three groups (high, medium and low) based on the amplitude of recorded seismoacoustic re-sponse. Background noise segments of the signals demonstrated monofractal behavior similar to white noise by almost constant values of generalized Hurst exponent Hq≈0.5 and very small width of the multifractal spectrum Δa ≈ 0.1. Analysis of the high amplitude seismoacoustic signals with clear P-, S- and coda waves showed that P- and S-waves demonstrate wider multifractal spectrum (ΔaP = 0.37, ΔaS = 0.35) and range of generalized Hurst exponents Hq in com-parison with coda wave, characterized by almost constant Hq and minimal width of multifractal spectrum (ΔaCODA = 0.13). We showed that the properties of the multifractal spectrum could be used in detection of seismic wave arrival, estima-tion its duration and separation of P-, S- and coda waves. Application of the monofractal DFA in a sliding window showed that the acoustic signal transits from monofractal and uncorrelated background noise (Hurst exponent equals to 0.5) into the long-range dependent state during seismic waves arrival, that is helpful in analysis of the signals, particularly in case of low amplitude acous-tic responses, usually demonstrating an unclear waveform. Difference in mul-tifractal spectrum width between the original low amplitude signal and its sur-rogates, obtained by random shuffling showed that the multifractality in the signal is dominantly due to long-range correlations.
我们通过单分形和多重分形去趋势波动分析(DFA)研究了位于堪察加地震区的Karymshina场地记录的地震声学数据动力学中的时间波动。我们对2017-2018年期间M>4的区域地震事件进行了一系列地震声学响应。根据记录的地震声响应幅度,该系列被分为三组(高、中、低)。信号的背景噪声段表现出类似于白噪声的单分形行为,广义赫斯特指数Hq≈0.5几乎为常数值,多重分形谱的宽度Δa≈0.1非常小。对具有清晰P波、S波和尾波的高振幅地震声信号的分析表明,与尾波相比,P波和S波表现出更宽的多重分形谱(ΔaP=0.37,ΔaS=0.35)和广义Hurst指数Hq的范围,其特征是Hq几乎恒定,多重分形谱的最小宽度(ΔaCODA=0.13)。我们表明,多重分形频谱的性质可以用于地震波到达的检测、持续时间的估计以及P波、S波和尾波的分离。单分形DFA在滑动窗口中的应用表明,在地震波到达期间,声学信号从单分形和不相关的背景噪声(赫斯特指数等于0.5)转变为长程相关状态,这有助于分析信号,特别是在低振幅声学响应的情况下,通常表现出不清楚的波形。通过随机混洗获得的原始低振幅信号与其结果之间的多重分形谱宽度的差异表明,信号中的多重分形主要是由于长程相关性。
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引用次数: 3
Influence of digital elevation model resolution on gravimetric terrain correction over a study-area of Croatia 数字高程模型分辨率对克罗地亚某研究区重力地形校正的影响
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2019-02-26 DOI: 10.15233/GFZ.2019.36.1
M. Varga, Marijan Grgić, Olga Bjelotomić Oršulić, Tomislav Bašić
High-resolution digital elevation models (DEMs) have become available in the last decade. They are used in geodesy and geophysics as the main data for modeling of topographic mass effects included in gravimetric and gradiometric measurements. In modeling process, gravimeric terrain correction is the central quantity which accounts for the variations of topographic masses around measured stations. This study deals with one segment of terrain correction computation: the impact of the resolution of digital elevation models. Computations are performed on study area of Republic of Croatia. Newly created DEM/DBM for the study area is created from global digital surface model ASTER for continental area, and digital bathymetric model GEBCO for the sea area. DEMs with lower resolution were created by resampling of the created ASTER/GEBCO DEM/DBM in 1″ resolution. Terrain correction map is computed and published for the first time for the Republic of Croatia. The differences between terraincorrection solutions obtained by using lower resolution DEMs compared to the solution obtained by using DEM with 1″ are indicating average influence of DEM resolution on terrain correction from 0,5·10–5 to 3·10–5 ms–2, for DEMs with lower resolution than 5″. The results also reveal that rugged and mountainous areas are particularly problematic in such computations.
高分辨率数字高程模型(dem)在过去十年中已经可用。在大地测量学和地球物理学中,它们被用作重力和梯度测量中地形质量效应建模的主要数据。在模拟过程中,重力地形改正量是反映测站周围地形质量变化的中心量。本文研究了地形校正计算的一部分:数字高程模型分辨率的影响。以克罗地亚共和国为研究区域进行计算。研究区新创建的DEM/DBM是基于陆地区域的全球数字地表模型ASTER和海洋区域的数字水深模型GEBCO。将已创建的ASTER/GEBCO DEM/DBM以1″分辨率重新采样,创建较低分辨率的DEM。克罗地亚共和国首次计算并出版了地形校正图。使用低分辨率DEM获得的地形校正解与使用1″的DEM获得的地形校正解之间的差异表明,对于分辨率低于5″的DEM, DEM分辨率对地形校正的平均影响从0,5·10-5到3·10-5 ms-2。结果还表明,崎岖和山区在这种计算中特别成问题。
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引用次数: 3
Prof. Dr. Zdravko Petkovšek (1931–2018) Zdravko Petkovšek教授博士(1931–2018)
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2019-01-14 DOI: 10.15233/GFZ.2018.35.10
Jože Rakovec
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引用次数: 0
Tropical cyclone intensity prediction over the North Indian Ocean - An NWP based objective approach 北印度洋热带气旋强度预测——基于NWP的客观方法
IF 1 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2019-01-14 DOI: 10.15233/GFZ.2018.35.8
S. Bhattacharya, S. D. Kotal, S. Nath, S. Bhowmik, P. K. Kundu
A Numerical Weather Prediction (NWP) based objective intensity prediction approach has been explored for prediction of tropical cyclone intensity over the North Indian Ocean (NIO) using ECMWF model outputs. The intensity of a tropical cyclone is classified by the maximum sustained wind (10-min mean) according to World Meteorological Organization (WMO). An empirical relationship between the difference of the model’s maximum mean sea level pressure (MSLP) inside a 6° × 6° grid box around the centre of the system and the lowest mean sea level pressure at the centre of the system (ΔP) with the observed intensity is developed using over 100 analyses during 2010–2012. The same is used to predict intensity of very severe cyclonic storm Hudhud and a Deep Depression observed over the Bay of Bengal during 2014. The results show that the empirical equation is skillful in prediction of intensity as compared to predictions computed using the relationship Vmax = K DP with different constant values of K. The error analyses show that the relative error in intensity prediction using the empirical equation derived in the present study is 34% less than the same using K = 14.2 kt / hPa in Vmax = K DP with an improvement which is significant at the level of 0.95.
本文探讨了一种基于数值天气预报(NWP)的客观强度预测方法,利用ECMWF模式输出对北印度洋(NIO)热带气旋强度进行预测。根据世界气象组织(WMO),热带气旋的强度是以最大持续风力(平均10分钟)来划分的。利用2010-2012年期间的100多次分析,建立了系统中心周围6°× 6°格框内模式最大平均海平面压力(MSLP)与系统中心最低平均海平面压力(ΔP)的差值与观测强度之间的经验关系。同样的方法也用于预测2014年在孟加拉湾观测到的非常严重的气旋风暴Hudhud和深度低气压的强度。结果表明,与使用不同K常数值的Vmax = K DP关系进行预测相比,经验方程能够较好地预测强度。误差分析表明,使用本文导出的经验方程进行强度预测的相对误差比使用K = 14.2 kt / hPa进行强度预测的相对误差小34%,在0.95水平上有显著改善。
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引用次数: 0
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Geofizika
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