Pub Date : 2022-06-01DOI: 10.15292/geodetski-vestnik.2022.02.258-279
Melita Ulbl, Andrej Glavica
The mass valuation of real estate in Slovenia is based on valuation models, which are made based on realised real estate market data and illustrate the functioning of the real estate market. The system is based on valuation models that simulate the behaviour of the real estate market and allow a statistically reliable assessment of market value. Models are formed using statistical methods of processing real estate market data. This paper presents the quality verification process and preparation of real estate market data. These data are used to design evaluation models or modelling, which consists of time adjustment of prices or rents, zoning, levelling, calibration, and analysis of quality parameters. Finally, the critical information of the modelling process made in the context of real estate mass valuation in Slovenia is summarised.
{"title":"Modeling procedure within the mass valuation of real estate in Slovenia","authors":"Melita Ulbl, Andrej Glavica","doi":"10.15292/geodetski-vestnik.2022.02.258-279","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.02.258-279","url":null,"abstract":"The mass valuation of real estate in Slovenia is based on valuation models, which are made based on realised real estate market data and illustrate the functioning of the real estate market. The system is based on valuation models that simulate the behaviour of the real estate market and allow a statistically reliable assessment of market value. Models are formed using statistical methods of processing real estate market data. This paper presents the quality verification process and preparation of real estate market data. These data are used to design evaluation models or modelling, which consists of time adjustment of prices or rents, zoning, levelling, calibration, and analysis of quality parameters. Finally, the critical information of the modelling process made in the context of real estate mass valuation in Slovenia is summarised.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46627877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.15292/geodetski-vestnik.2022.03.412-431
Yegane Khosravi, F. Hosseinali, Mostafa Adresi
Road accidents are among the most critical causes of fatality, personal injuries, and financial damage worldwide. Identifying accident hotspots and the causes of accidents and improving the condition of these hotspots is an economical way to improve road traffic safety. In this study, to identify the accident hotspots of “Dehbala” road located in Yazd province-Iran, statistical and non-statistical clustering methods were used. First, the weighting of the criteria was performed by an expert using the AHP method. Hence, the spatial correlation of slope and curvature was calculated by Global Moran’I. Anselin Local Moran index and Getis-Ord Gi* and Kernel Density Estimation were used to identify accident hotspots based on accident location due to the density of points. As a result, four accident hotspots were obtained by the Anselin Local Moran index, three accident hotspots by Getis-Ord Gi*and one accident-prone area were obtained by Kernel Density Estimation method. Three algorithms, k-means, k-medoids, and DBSCAN, were used to identify accident-prone areas or points using non-statistical methods. The dense cluster of each method was considered as an accident-prone cluster. Then the results of statistical and non- statistical methods were intersected with each other and the final accident-prone area was obtained. This study revealed the effect of geometric charcateristics of the road (slope and curvature) on the occurance of accidents.
道路交通事故是全世界造成死亡、人身伤害和经济损失的最重要原因之一。识别事故热点和事故原因，改善热点状况是提高道路交通安全的经济途径。本研究采用统计聚类和非统计聚类的方法，对伊朗亚兹德省“Dehbala”道路的事故热点进行识别。首先，由专家运用层次分析法对各指标进行加权。因此，利用Global Moran 'I计算坡度和曲率的空间相关性。基于点的密度，采用Anselin Local Moran指数和Getis-Ord Gi*和Kernel Density Estimation基于事故位置识别事故热点。结果表明，采用Anselin Local Moran指数得到4个事故热点，采用Getis-Ord Gi*方法得到3个事故热点，采用核密度估计方法得到1个事故易发区。使用三种算法，k-means, k- medioids和DBSCAN，使用非统计方法识别事故易发区域或点。将每种方法的密集聚类视为事故易发聚类。然后将统计方法和非统计方法的结果相互交叉，得到最终的事故易发区域。该研究揭示了道路的几何特征(坡度和曲率)对事故发生的影响。
{"title":"Assessing road accidents in spatial context via statistical and non-statistical approaches to detect road accident hotspot using GIS","authors":"Yegane Khosravi, F. Hosseinali, Mostafa Adresi","doi":"10.15292/geodetski-vestnik.2022.03.412-431","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.03.412-431","url":null,"abstract":"Road accidents are among the most critical causes of fatality, personal injuries, and financial damage worldwide. Identifying accident hotspots and the causes of accidents and improving the condition of these hotspots is an economical way to improve road traffic safety. In this study, to identify the accident hotspots of “Dehbala” road located in Yazd province-Iran, statistical and non-statistical clustering methods were used. First, the weighting of the criteria was performed by an expert using the AHP method. Hence, the spatial correlation of slope and curvature was calculated by Global Moran’I. Anselin Local Moran index and Getis-Ord Gi* and Kernel Density Estimation were used to identify accident hotspots based on accident location due to the density of points. As a result, four accident hotspots were obtained by the Anselin Local Moran index, three accident hotspots by Getis-Ord Gi*and one accident-prone area were obtained by Kernel Density Estimation method. Three algorithms, k-means, k-medoids, and DBSCAN, were used to identify accident-prone areas or points using non-statistical methods. The dense cluster of each method was considered as an accident-prone cluster. Then the results of statistical and non- statistical methods were intersected with each other and the final accident-prone area was obtained. This study revealed the effect of geometric charcateristics of the road (slope and curvature) on the occurance of accidents.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66960882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.15292/geodetski-vestnik.2022.01.33-48
Emil Polajnar
We analysed data on the weekly mortality of seniors aged 65 and older in the member states of the EU27. We aimed to model normal mortality in the time before covid-19 and use this model to analyse the deviations of true values from model predictions in the time after the emergence of covid-19. We used linear regression with autocorrelated errors to model normal mortality, which shows seasonality with increased mortality during the winter months. In the time before covid-19 deviations above three sigma occurred regularly, but deviations above five sigma were rare. In contrast, we detected deviations above five sigma in all but three member states after the emergence of covid-19. The member state with the most extreme deviation was Spain (32 sigma), the member state with the longest continuous deviation above five sigma was Czechia (25 weeks), and the member state with the highest excess mortality was Slovakia (12.8 deaths per 1000 seniors). We attempted to explain differences in extreme deviations with multivariate linear regression analysis. Extreme deviations were lower in member states with higher health care expenditure in euros per inhabitant.
{"title":"Analysis of weekly mortality of seniors: a comparison between Slovenia and the member states of the EU27","authors":"Emil Polajnar","doi":"10.15292/geodetski-vestnik.2022.01.33-48","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.01.33-48","url":null,"abstract":"We analysed data on the weekly mortality of seniors aged 65 and older in the member states of the EU27. We aimed to model normal mortality in the time before covid-19 and use this model to analyse the deviations of true values from model predictions in the time after the emergence of covid-19. We used linear regression with autocorrelated errors to model normal mortality, which shows seasonality with increased mortality during the winter months. In the time before covid-19 deviations above three sigma occurred regularly, but deviations above five sigma were rare. In contrast, we detected deviations above five sigma in all but three member states after the emergence of covid-19. The member state with the most extreme deviation was Spain (32 sigma), the member state with the longest continuous deviation above five sigma was Czechia (25 weeks), and the member state with the highest excess mortality was Slovakia (12.8 deaths per 1000 seniors). We attempted to explain differences in extreme deviations with multivariate linear regression analysis. Extreme deviations were lower in member states with higher health care expenditure in euros per inhabitant.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66960920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.15292/geodetski-vestnik.2022.01.60-75
Mehmed Batilović, Ž. Kanović, Z. Sušić, M. Markovic, V. Bulatović
In this paper, a modified Generalised Robust Estimation of Deformation from Observation Differences (GREDOD) method is presented, based on the application of genetic algorithm (GA) and generalised particle swarm optimisation (GPSO) algorithm in solving the optimisation problem of this method, which is, in essence, a problem of determining the optimal datum of the displacement vector. The procedure of deformation analysis using this modification of the GREDOD method is demonstrated in the example of the two-dimensional geodetic network presented in numerous research and in which all observations and displacements were simulated. Using both algorithms, GA and GPSO, almost identical results of deformation analysis were obtained, except datum solutions of the displacement vector, which are completely different. These results differ only slightly from the results obtained using the methods of Hannover, Karlsruhe, Delft, Fredericton, München, Caspary, and the classical robust method.
{"title":"Deformation analysis: the modified GREDOD method","authors":"Mehmed Batilović, Ž. Kanović, Z. Sušić, M. Markovic, V. Bulatović","doi":"10.15292/geodetski-vestnik.2022.01.60-75","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.01.60-75","url":null,"abstract":"In this paper, a modified Generalised Robust Estimation of Deformation from Observation Differences (GREDOD) method is presented, based on the application of genetic algorithm (GA) and generalised particle swarm optimisation (GPSO) algorithm in solving the optimisation problem of this method, which is, in essence, a problem of determining the optimal datum of the displacement vector. The procedure of deformation analysis using this modification of the GREDOD method is demonstrated in the example of the two-dimensional geodetic network presented in numerous research and in which all observations and displacements were simulated. Using both algorithms, GA and GPSO, almost identical results of deformation analysis were obtained, except datum solutions of the displacement vector, which are completely different. These results differ only slightly from the results obtained using the methods of Hannover, Karlsruhe, Delft, Fredericton, München, Caspary, and the classical robust method.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66961057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.15292/geodetski-vestnik.2022.01.15-32
Mark a. Zupan
Agricultural soils are a non-renewable natural resource, and substitute land can only be acquired at the cost of losing other resources, such as forest ecosystems or restoring degraded land. An alternative is to improve soils of poorer quality through topsoil application and meliorative measures, thus increasing the production potential of existing agricultural land. In this paper, we present the measure of topsoil addition for maintaining production potential and the method of calculating the agricultural land equivalent (EKZ) to evaluate the impact of topsoil addition. The EKZ method was tested on hydromorphic and automorphic soils and on fragmented and consolidated agricultural land. The examples of EKZ calculation presented show that the addition of fertile topsoil can be an appropriate measure to mitigate the effects of soil sealing on the loss of production potential of agricultural land but not to the same extent for all soil types. The effect is greater when we improve low-quality soils such as gley soils or shallow soils with coarse particles. The EKZ method is objective, taking into account the original extent, land rating value, shape, and fragmentation of soils, as well as soils after topsoil has been added. The method also supports the rational use of the removed fertile soil and thus the conservation of a non- renewable natural resource.
{"title":"Method for the evaluation of mitigation measures for soil loss compensation based on cadstral data","authors":"Mark a. Zupan","doi":"10.15292/geodetski-vestnik.2022.01.15-32","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.01.15-32","url":null,"abstract":"Agricultural soils are a non-renewable natural resource, and substitute land can only be acquired at the cost of losing other resources, such as forest ecosystems or restoring degraded land. An alternative is to improve soils of poorer quality through topsoil application and meliorative measures, thus increasing the production potential of existing agricultural land. In this paper, we present the measure of topsoil addition for maintaining production potential and the method of calculating the agricultural land equivalent (EKZ) to evaluate the impact of topsoil addition. The EKZ method was tested on hydromorphic and automorphic soils and on fragmented and consolidated agricultural land. The examples of EKZ calculation presented show that the addition of fertile topsoil can be an appropriate measure to mitigate the effects of soil sealing on the loss of production potential of agricultural land but not to the same extent for all soil types. The effect is greater when we improve low-quality soils such as gley soils or shallow soils with coarse particles. The EKZ method is objective, taking into account the original extent, land rating value, shape, and fragmentation of soils, as well as soils after topsoil has been added. The method also supports the rational use of the removed fertile soil and thus the conservation of a non- renewable natural resource.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66960771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.15292/geodetski-vestnik.2022.03.367-386
Mihaela Triglav Čekada, Aneja Rože, Rado Škafar
In this paper we present 30 preserved boundary marks of the cadastral municipalities from the period of the Franciscan cadastral survey from 1818 to 1819, which we found in the vicinity of villages of Sežana, Lokev, Rodik, Markovščina and Materija in Slovenia. The studied boundary marks of the cadastral municipalities are 70 cm or more high, mostly with carved inscriptions, sometimes also with coats of arms, or have a form of isolated, larger rocks, which also have carved inscriptions. These boundary marks still mark the official boundaries of the cadastral municipalities today. But some of them also played a more important role in the past, as they marked the boundaries of the districts. Some once had a simultaneous cadastral and trigonometric role, and some still retain this dual role today. Quite a few of these boundary marks are linked to the preserved local oral tradition, associated with the Schwarzenegg estate of the Counts of Petazzi and various mythical monsters that guard the boundaries of the cadastral municipalities. With the help of two of them, Križen drev and Kokoš (Jermanec), we have discovered and proved, how the borders of the cadastral municipalities in this area date back at least to the 16th century. Therefore, we can consider the present-day boundaries of the cadastral municipalities in this area of Slovenia as one of the longest-lasting and preserved spatial division.
{"title":"Boundary marks of cadastral municipalities in the Karst, Matarsko podolje and Brkini: between facts and mythology","authors":"Mihaela Triglav Čekada, Aneja Rože, Rado Škafar","doi":"10.15292/geodetski-vestnik.2022.03.367-386","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.03.367-386","url":null,"abstract":"In this paper we present 30 preserved boundary marks of the cadastral municipalities from the period of the Franciscan cadastral survey from 1818 to 1819, which we found in the vicinity of villages of Sežana, Lokev, Rodik, Markovščina and Materija in Slovenia. The studied boundary marks of the cadastral municipalities are 70 cm or more high, mostly with carved inscriptions, sometimes also with coats of arms, or have a form of isolated, larger rocks, which also have carved inscriptions. These boundary marks still mark the official boundaries of the cadastral municipalities today. But some of them also played a more important role in the past, as they marked the boundaries of the districts. Some once had a simultaneous cadastral and trigonometric role, and some still retain this dual role today. Quite a few of these boundary marks are linked to the preserved local oral tradition, associated with the Schwarzenegg estate of the Counts of Petazzi and various mythical monsters that guard the boundaries of the cadastral municipalities. With the help of two of them, Križen drev and Kokoš (Jermanec), we have discovered and proved, how the borders of the cadastral municipalities in this area date back at least to the 16th century. Therefore, we can consider the present-day boundaries of the cadastral municipalities in this area of Slovenia as one of the longest-lasting and preserved spatial division.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66960674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.15292/geodetski-vestnik.2022.03.387-402
Dilek Küçük Matcı
Water resources is crucial for the continuity of life. Therefore, mapping water resources is required. Successful analysis of remotely sensed images can provide reliable information for water researches. However, it is very complex process to ensure that the maps created are not affected by shadows, cloud or other noise. In addition, it is necessary to successfully map all water types in various geographies. It is important that the method used is practical so that scientists who are not image analysts can use the large data pool provided by satellite images. In this paper, a novel algorithm for water body extraction from Landsat imagery is proposed. In this method, Corine data are used as auxiliary data to automatically generate training data. Four study areas with different characteristics, from different parts of the world, are used to test the proposed method. The results obtained are compared with other automatic classification methods.
{"title":"Automatic delineation of water bodies using Corine data from remotely sensed images","authors":"Dilek Küçük Matcı","doi":"10.15292/geodetski-vestnik.2022.03.387-402","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.03.387-402","url":null,"abstract":"Water resources is crucial for the continuity of life. Therefore, mapping water resources is required. Successful analysis of remotely sensed images can provide reliable information for water researches. However, it is very complex process to ensure that the maps created are not affected by shadows, cloud or other noise. In addition, it is necessary to successfully map all water types in various geographies. It is important that the method used is practical so that scientists who are not image analysts can use the large data pool provided by satellite images. In this paper, a novel algorithm for water body extraction from Landsat imagery is proposed. In this method, Corine data are used as auxiliary data to automatically generate training data. Four study areas with different characteristics, from different parts of the world, are used to test the proposed method. The results obtained are compared with other automatic classification methods.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66960734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.15292/geodetski-vestnik.2022.01.49-59
Katarzyna Chwedczuk, Daniel Cienkosz, Michal Apollo, L. Borowski, P. Lewińska, Celso Augusto Guimarães Santos, K. Eborka, Sandeep Kulshreshtha, Rosendo Romero-Andrade, A. Sedeek, A. Liibusk, K. Maciuk
This study aimed to measure and validate altitudes from existing sources with direct GNSS measurements and airborne lidar data. For this purpose, 12 mountain peaks located in the south part of Polish territory were selected. Measurements were performed using a GNSS receiver using the Real-Time Kinematic (RTK) or static techniques enabling altitude measurements with accuracy of 10 cm. GNSS was treated as the primary data source, as the direct field measurements can determine the highest point on each peak. The obtained results were confronted with historical, internet sources, and official altitude data. Moreover, each altitude was determined using lidar data from an airborne lidar dataset of Poland from the ISOK program and provided by the national agency. Significant discrepancies in data were already detected during the analysis of internet materials and traditional maps, up to a few meters. The differences between measured and internet sources in altitude of mountain peak range from 27 cm to 504 cm. This study has shown the need to re-measure the altitudes of the mountain peaks and determine the highest point correctly.
{"title":"Challenges related to the determination of altitudes of mountain peaks presented on cartographic sources","authors":"Katarzyna Chwedczuk, Daniel Cienkosz, Michal Apollo, L. Borowski, P. Lewińska, Celso Augusto Guimarães Santos, K. Eborka, Sandeep Kulshreshtha, Rosendo Romero-Andrade, A. Sedeek, A. Liibusk, K. Maciuk","doi":"10.15292/geodetski-vestnik.2022.01.49-59","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.01.49-59","url":null,"abstract":"This study aimed to measure and validate altitudes from existing sources with direct GNSS measurements and airborne lidar data. For this purpose, 12 mountain peaks located in the south part of Polish territory were selected. Measurements were performed using a GNSS receiver using the Real-Time Kinematic (RTK) or static techniques enabling altitude measurements with accuracy of 10 cm. GNSS was treated as the primary data source, as the direct field measurements can determine the highest point on each peak. The obtained results were confronted with historical, internet sources, and official altitude data. Moreover, each altitude was determined using lidar data from an airborne lidar dataset of Poland from the ISOK program and provided by the national agency. Significant discrepancies in data were already detected during the analysis of internet materials and traditional maps, up to a few meters. The differences between measured and internet sources in altitude of mountain peak range from 27 cm to 504 cm. This study has shown the need to re-measure the altitudes of the mountain peaks and determine the highest point correctly.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66961015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.15292/geodetski-vestnik.2022.03.432-448
Marko D. Stanković, O. Odalović, Miloš Marković
This study aims to analyze the quality of several local reference quasigeoid surfaces obtained from several Global Geopotential Models (GGM) relative to the official quasigeoid solution of Serbia (SQM2011) and GNSS/dh observations for the territory of Serbia. Therefore, validation and comparison of the derived surfaces from the three GGM’s were made based on comparisons of height anomaly derived from GGM’s, SQM2011, and the GNSS/dh observations at the points of the high-precision leveling network. The selected publicly available GGM’s in this study are GOCO05c, SGG- UGM-2, and XGM2019e. Primarily, at 1001 points of the high-precision leveling network, the differences between GGM and GNSS/dh height anomaly were calculated. The final translation parameters were calculated in the iteration procedure, which was then used to calculate the final values of the estimated height anomaly for all GGM’s at 143207 points of the regular grid of spatial resolution 0.5' × 0.5' on the entire territory of Serbia. From the estimated height anomaly, three GGM-derived surfaces were modeled relative to the SQM2011. According to the results of the calculations, SGG-UGM-2 provides the best approximation of the quasi- geoid SQM2011, where the remaining differences have a mean value of 0.01 m, a standard deviation of 0.06 m, and a span of 0.67 m.
{"title":"Validation and comparison of several global geopotential models with an official quasigeoid solution of Serbia","authors":"Marko D. Stanković, O. Odalović, Miloš Marković","doi":"10.15292/geodetski-vestnik.2022.03.432-448","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.03.432-448","url":null,"abstract":"This study aims to analyze the quality of several local reference quasigeoid surfaces obtained from several Global Geopotential Models (GGM) relative to the official quasigeoid solution of Serbia (SQM2011) and GNSS/dh observations for the territory of Serbia. Therefore, validation and comparison of the derived surfaces from the three GGM’s were made based on comparisons of height anomaly derived from GGM’s, SQM2011, and the GNSS/dh observations at the points of the high-precision leveling network. The selected publicly available GGM’s in this study are GOCO05c, SGG- UGM-2, and XGM2019e. Primarily, at 1001 points of the high-precision leveling network, the differences between GGM and GNSS/dh height anomaly were calculated. The final translation parameters were calculated in the iteration procedure, which was then used to calculate the final values of the estimated height anomaly for all GGM’s at 143207 points of the regular grid of spatial resolution 0.5' × 0.5' on the entire territory of Serbia. From the estimated height anomaly, three GGM-derived surfaces were modeled relative to the SQM2011. According to the results of the calculations, SGG-UGM-2 provides the best approximation of the quasi- geoid SQM2011, where the remaining differences have a mean value of 0.01 m, a standard deviation of 0.06 m, and a span of 0.67 m.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66961507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.15292/geodetski-vestnik.2022.03.403-411
Houaria Namaoui
In climate change context, the precipitable water vapour (PW) is key parameter of atmospheric process and dynamics and its variation is very high in space and time. It's accuracy is paramount for any geodetic or climatic study. The main objective of this study is to compute precipitable water vapour from ERA5 reanalysis for 4 stations in Algeria which have different types of climate. We opt for using integration method for different level of pressure with ERA5. The values of water vapour are also compared with radiosondes profiles. The results of this work shows good agreement with a correlation that is not less than not 0.95 and 0.70 compared as radiosondes profiles. The first results are encouraging, in particular for meteorological applications with good hope to introduce another dataset as GNSS to more understand the variation and behavior of water vapour over a long period of observation.
{"title":"Evaluation of ERA5 reanalysis atmospheric water vapor variation in Algeria","authors":"Houaria Namaoui","doi":"10.15292/geodetski-vestnik.2022.03.403-411","DOIUrl":"https://doi.org/10.15292/geodetski-vestnik.2022.03.403-411","url":null,"abstract":"In climate change context, the precipitable water vapour (PW) is key parameter of atmospheric process and dynamics and its variation is very high in space and time. It's accuracy is paramount for any geodetic or climatic study. The main objective of this study is to compute precipitable water vapour from ERA5 reanalysis for 4 stations in Algeria which have different types of climate. We opt for using integration method for different level of pressure with ERA5. The values of water vapour are also compared with radiosondes profiles. The results of this work shows good agreement with a correlation that is not less than not 0.95 and 0.70 compared as radiosondes profiles. The first results are encouraging, in particular for meteorological applications with good hope to introduce another dataset as GNSS to more understand the variation and behavior of water vapour over a long period of observation.","PeriodicalId":44295,"journal":{"name":"Geodetski Vestnik","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66960804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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