Geofizika最新文献_第9页

Seiches in the Plitvice Lakes 在普利特维采湖的冰山

IF 1 4区地球科学

Geofizika Pub Date : 2016-06-30 DOI: 10.15233/GFZ.2016.33.6

M. Pasarić, L. Slaviček

{"title":"Seiches in the Plitvice Lakes","authors":"M. Pasarić, L. Slaviček","doi":"10.15233/GFZ.2016.33.6","DOIUrl":"https://doi.org/10.15233/GFZ.2016.33.6","url":null,"abstract":"A campaign of high-frequency measurements of water level was carried in the two largest of the Plitvice Lakes, Prosce and Kozjak, to study seiches in the lakes. Measurements were performed at 1-min sampling rate during a 46-day interval, at two opposite ends in each lake, which also provided information on the phase relations. Power spectra were calculated to determine the periods of the normal modes. The observed peaks in the spectra were interpreted with the help of theoretical results obtained by the simple numerical method of Defant, where two different historical bathymetries were used. The lake Prosce oscillates at the periods of 8.5 min, 5.0 min, 3.3 min and 2.2 min, the oscillations being related respectively to uni-, bi-, three- and five-nodal seiche modes, whereas the four-nodal mode (2.5-2.7 min) was not significant during the experiment. The lake Kozjak oscillates at 9.0 min, 4.9 min and 2.6 min, which corresponds respectively to the uni-, bi- and four-nodal mode, the five-nodal mode is likely at the period of 1.9 min, while the three-nodal mode (~ 3.4 min) was not generated ; the deeper sub-basin displays its own principal mode at the period of 2.3 min. The discrepancy between the observed and the calculated periods is attributed to poor representation of the basin by the historical bathymetries, especially at Prosce, but also to changes in basin depth, due to continuous process of tufa growth.","PeriodicalId":50419,"journal":{"name":"Geofizika","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67352880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Generation of 2D flood inundation maps of Meriç and Tunca Rivers passing through Edirne city center 生成通过Edirne市中心的Meriç和Tunca河的二维洪水淹没图

IF 1 4区地球科学

Geofizika Pub Date : 2016-06-30 DOI: 10.15233/GFZ.2016.33.7

U. Akkaya, E. Doğan

{"title":"Generation of 2D flood inundation maps of Meriç and Tunca Rivers passing through Edirne city center","authors":"U. Akkaya, E. Doğan","doi":"10.15233/GFZ.2016.33.7","DOIUrl":"https://doi.org/10.15233/GFZ.2016.33.7","url":null,"abstract":"Natural disasters can be defined as hazardous and usually large scale natural incidents that may cause loss of lifes and property and that occur mainly or completely out of human control. Due to climatic changes draughts are being experienced in various parts of the world in the recent years. Floods are also observed to take place more frequently and severely in some regions. As it is reported by many scientific studies, flood modeling can only be possible through the designation of flood risk management strategies and the determination of the dynamic behaviors of rivers. In this context, the city of Edirne located downstream of Meriç River Basin, which runs through Turkish, Bulgarian and Greek soils, is frequently exposed to flooding. The majority of the currents that cause this take place within the Bulgarian borders, which covers 66% of the basin. This part of Meriç River Basin has a mountainous geography, it has a rather high average slope of 12.5% within Bulgarian lands, while in Edirne it is quite low with a bottom slope of 0,00036. In the present study, 2D flood modeling of the Meriç and Tunca Rivers that passes through Edirne city center were made and flood inundation maps were generated. With the analysis of the results obtained from flood inundation maps, a drainage channel capable of discharging flood rates that exceed the maximum rate Meriç River main bed can accommodate was designed, and the downstream conditions of the channel were evaluated.","PeriodicalId":50419,"journal":{"name":"Geofizika","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67352944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Modeling shear stress distribution in natural small streams by soft computing methods 用软计算方法模拟天然小溪剪应力分布

IF 1 4区地球科学

Geofizika Pub Date : 2016-01-01 DOI: 10.15233/GFZ.2016.33.11

Onur Genç, O. Kisi, M. Ardiclioglu

引用次数: 2

In Memory of Prof. Dr. Dragan Hadžievski 纪念德拉甘博士教授Hadžievski

IF 1 4区地球科学

Geofizika Pub Date : 2016-01-01 DOI: 10.15233/GFZ.2016.33.2

D. Herak, M. Herak

引用次数: 0

Accounting for seismic radiation anisotropy in Bayesian survey designs 贝叶斯勘探设计中地震辐射各向异性的计算

IF 1 4区地球科学

Geofizika Pub Date : 2016-01-01 DOI: 10.15233/GFZ.2016.33.1

M. Khodja, M. Prange, H. Djikpesse

{"title":"Accounting for seismic radiation anisotropy in Bayesian survey designs","authors":"M. Khodja, M. Prange, H. Djikpesse","doi":"10.15233/GFZ.2016.33.1","DOIUrl":"https://doi.org/10.15233/GFZ.2016.33.1","url":null,"abstract":"The seismic radiation patterns associated with probing the earth’s subsurface are essentially anisotropic due to its ubiquitous stratified structure. This anisotropy seriously complicates formation imaging and data acquisition. This is most salient for deep-water subsalt reservoirs. Traditionally, point scatterers with isotropic radiation patterns are used in migration imaging, but in the survey design problem, these might lead to design errors caused by receivers being placed in poor locations with respect to the radiation pattern of the scattering structure. Here, we extend a framework which accounts for anisotropy in the scattered radiation for optimal geophysical survey design purposes. The propagation medium is assumed to be attenuative. The locally dipping interfaces are modeled as a discrete set of finite-size planar scattering elements. The general elastodynamic expressions for the sensitivity kernels, i.e., the vectors which mathematically represent the candidate observations, in the presence of the scattering elements are provided. The size of each element controls the width of its radiation pattern, which may in turn be used to characterize the uncertainty on the dip angle, thus complementing the information provided by the model-parameter uncertainties and ultimately leading to better geophysical survey designs.","PeriodicalId":50419,"journal":{"name":"Geofizika","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67352666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimation of net surface radiation using eddy flux tower data over a tropical mangrove forest of Sundarban, West Bengal 利用涡通量塔数据估算西孟加拉邦孙德班热带红树林的净地表辐射

IF 1 4区地球科学

Geofizika Pub Date : 2016-01-01 DOI: 10.15233/GFZ.2016.33.5

D. Mahalakshmi, A. Paul, D. Dutta, M. Ali, V. Dadhwal, R. S. Reddy, C. Jha, J. R. Sharma

{"title":"Estimation of net surface radiation using eddy flux tower data over a tropical mangrove forest of Sundarban, West Bengal","authors":"D. Mahalakshmi, A. Paul, D. Dutta, M. Ali, V. Dadhwal, R. S. Reddy, C. Jha, J. R. Sharma","doi":"10.15233/GFZ.2016.33.5","DOIUrl":"https://doi.org/10.15233/GFZ.2016.33.5","url":null,"abstract":"In this study, net surface radiation (Rn) was estimated using artificial neural network (ANN) and Linear Model (LM). Then, estimated Rn with both the models (ANN and LM) were compared with measured Rn from eddy covariance (EC) flux tower. The routinely measured meteorological variables namely air temperature, relative humidity and wind velocity were used as input to the ANN and global solar radiation as input to the LM. All the input data are from the EC flux tower. Sensitivity analysis of ANN with all the meteorological variables is carried out by excluding one by one meteorological variable. The validation results demonstrated that, ANN and LM estimated Rn values were in good agreement with the measured values, with root mean square error (RMSE) varying between 21.63 W/m2 and 34.94 W/m2, mean absolute error (MAE) between 17.93 W/m2 and 22.28 W/m2 and coefficient of residual mass (CRM) between –0.007 and –0.04 respectively. Further we have computed modelling efficiency (0.97 for ANN and 0.99 for LM) and coefficient of determination (R2 = 0.97 for ANN and 0.99 for LM) for both the models. Even though both the models could predict Rn successfully, ANN was better in terms of minimum number of routinely measured meteorological variables as input. The results of the ANN sensitivity analysis indicated that air temperatuere is the more important parameter followed by relative humidity, wind speed and wind direction.","PeriodicalId":50419,"journal":{"name":"Geofizika","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67353042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accuracy validation of official Croatian geoid solutions over the area of City of Zagreb 克罗地亚官方大地水准面解决方案在萨格勒布市地区的准确性验证

IF 1 4区地球科学

Geofizika Pub Date : 2016-01-01 DOI: 10.15233/GFZ.2016.33.9

Daria Dragčević, Marko Pavasović, Tomislav Bašić

引用次数: 3

Spatial analysis of groundwater electrical conductivity using ordinary kriging and artificial intelligence methods (Case study: Tabriz plain, Iran) 基于普通克里格法和人工智能方法的地下水电导率空间分析(以伊朗大不里士平原为例)

IF 1 4区地球科学

Geofizika Pub Date : 2015-12-31 DOI: 10.15233/GFZ.2015.32.9

Mehrdad Jeihouni, R. Delirhasannia, S. K. Alavipanah, M. Shahabi, S. Samadianfard

{"title":"Spatial analysis of groundwater electrical conductivity using ordinary kriging and artificial intelligence methods (Case study: Tabriz plain, Iran)","authors":"Mehrdad Jeihouni, R. Delirhasannia, S. K. Alavipanah, M. Shahabi, S. Samadianfard","doi":"10.15233/GFZ.2015.32.9","DOIUrl":"https://doi.org/10.15233/GFZ.2015.32.9","url":null,"abstract":"Artificial intelligence (AI) systems have opened a new horizon to analyze water engineering and environmental problems in recent decades. In this study performances of ordinary kriging (OK) as a linear geostatistical estimator and two intelligent methods including artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are investigated. For this purpose, geographical coordinates of 120 observation wells that located in Tabriz plain, north-west of Iran, were defined as inputs and groundwater electrical conductivities (EC) were set as output of models. Eighty percent of data were randomly selected to train and develop mentioned models and twenty percent of data used for testing and validating. Finally, the outputs of models were compared with the corresponding measured values in observation wells. Results indicated that ANFIS model provided the best accuracy among models with the root mean squared error (RMSE) value of 1.69 dS.m and correlation coefficient (R) of 0.84. The RMSE values in ANN and OK were calculated 1.97 and 2.14 dS.m and the R values were determined 0.79 and 0.76, respectively. According to the results, the ANFIS method predicted EC precisely and can be advised for modeling groundwater salinity.","PeriodicalId":50419,"journal":{"name":"Geofizika","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2015-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.15233/GFZ.2015.32.9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67352559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Image enhancement and performance evaluation using various filters for IRS-P6 Satellite Liss IV remotely sensed data 利用各种滤波器对IRS-P6卫星Liss IV遥感数据进行图像增强和性能评估

IF 1 4区地球科学

Geofizika Pub Date : 2015-12-31 DOI: 10.15233/GFZ.2015.32.11

T. Kumar, D. Murugan, K. Rajalakshmi, T. I. Manish

引用次数: 7

In Memory of Dr. Inga Lisac, the first Editor-in-Chief of Geofizika (Novi Marof, 1930 – Zagreb, 2015) 纪念《地理新闻报》首任总编辑因加·利萨克博士(1930年3月1日- 2015年萨格勒布)

IF 1 4区地球科学

Geofizika Pub Date : 2015-12-31 DOI: 10.15233/GFZ.2015.32.8

Z. Klaic

引用次数: 0