Makro ve Mikro Ölçekteki Lokal Jeoid Tespiti için Enterpolasyon Yöntemlerinin Karşılaştırılması

Yılmaz, Mustafa; Kuru, Birol

doi:10.29128/geomatik.465050

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Inverse Distance Weighted interpolation is a type of deterministic method used for multivariate interpolation with scattered points known as Inverse Distance Weighted (IDW). In this method, the values assigned to the unknown points are calculated by a weighted average of the values available at the known points with a simple algorithm [56]. While calculating, the anchor points close to the cut-off points have a more significant effect on the calculation, while those of the far points are less [53].…”

Section: Inverse Distance Weighted Interpolation Methods (Idw)mentioning

confidence: 99%

Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS

ÇOLAK,

MEMİŞOĞLU BAYKAL,

GENÇ

2024

International Journal of Engineering and Geosciences

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The Earth is a complex system where living and non-living elements coexist in a delicate balance. Climate change is the primary factor responsible for the degradation of this system over time. The far-reaching consequences of climate change impact various aspects of our lives, including the physical environment, urban settings, human activities, economy, technology, agriculture, food production, access to clean water, and public health, all of which are widely acknowledged. Human-induced greenhouse gas emissions in these areas significantly trigger global climate change. Hence, addressing and mitigating the environmental damage from these emissions and the interconnected climate change phenomena is imperative. This situation is where the concept of "carbon footprint" gains prominence in assessing the extent of this damage. Carbon footprint serves as an essential measure in managing and curbing climate change. This study focused on controlling and mitigating carbon emissions, one of the primary greenhouse gasses responsible for climate change, by implementing spatial interpolation techniques based on Geographic Information Systems (GIS). The investigation targeted the Beşirli neighborhood in the Ortahisar district of Trabzon province. Data concerning electricity and natural gas usage were acquired from relevant institutions to perform carbon footprint calculations. Subsequently, carbon footprint calculations were conducted utilizing the acquired data within the specified region. The resulting outputs were systematically organized, integrated into the GIS environment, and linked to their respective geographical locations. Eventually, region-specific carbon footprint distribution maps were generated using selected spatial interpolation methods. These maps enabled a spatial observation of points exhibiting variability in terms of carbon emissions, thereby highlighting the carbon footprints evident in the region. The ultimate goal of this endeavor is to propose practical measures for minimizing the adverse environmental impacts by suggesting strategies to reduce and prevent carbon footprints associated with carbon emissions in the relevant areas.

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Section: Inverse Distance Weighted Interpolation Methods (Idw)mentioning

confidence: 99%

Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS

ÇOLAK,

MEMİŞOĞLU BAYKAL,

GENÇ

2024

International Journal of Engineering and Geosciences

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“…It uses local interpolation since it only creates estimates from surrounding spots. The method is based on the notion that local points have a higher weight on the interpolated surface than remote points (Yılmaz and Kuru 2019;Hastaoğlu et al 2021).…”

Section: Inverse Distance Weighted Interpolation Methods (Idw)mentioning

confidence: 99%

Regional Frequency Analysis of Drought Indexes by L-Moments Method

Aktürk

Çıtakoğlu

Demir

2023

Preprint

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Drought has been experienced frequently in Turkey in the last two decades as the effects of withdrawn water resources become more evident. Drought; causes problems for planners and managers. For this reason, in order to provide an accurate framework for sustainable water resources management, it is necessary to investigate the characteristics of drought events and to estimate the return periods of the drought with the help the regional frequency analysis. In this study, firstly, the characteristics of meteorological droughts in the Kızılırmak Basin which has semi-arid climate characteristics, were determined by using the Standardized Precipitation Index (SPI), Z-Score Index (ZSI), China-Z Index (CZI) and Modified China-Z Index (MCZI) as a measure of drought severity and also the applicability and performance of the selected indices to the basin were investigated. Secondly, regional frequency analysis was performed by using L-moment methods for the maximum drought severity values obtained for each year as a result of the application of the four drought indices on a 12-month time scale. According to the results of the meteorological drought analysis of the four drought indices, it was noted that the most severe and long-lasting droughts occurred mainly in the 2000s, the drought severity values increased as the return period increased and also the drought severity values obtained by MCZI method give the extraordinary results than other indices. Thus, it has been seen that the MCZI method is generally not suitable for use in the basin. According to the results of regional frequency analysis, Kızılırmak Basin, which is H1<1, was determined as acceptable homogeneous for all four indices according to the Hosking and Wallis homogeneity test. For each index, the optimum regional distribution function was investigated and Pearson type‒III distribution for SPI and ZSI; distribution of general extreme values for CZI; for MCZI, the generalized logistic distribution was determined as the most appropriate distribution. As a result of the index-flood frequency analysis calculated by using the most appropriate distribution, regional drought severity maps were created for the study area with the Inverse Distance Weighting (IDW) Method for the return periods between 5 years and 1000 years. Using the maps obtained, it is feasible to predict the drought probability of any point in the basin that does not have adequate data for hydrological investigations.

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“…Creating and selecting the most appropriate and realistic model in geoid determination is extremely important for the practitioners using such models. In the literature to date, many interpolation and least square collocation methods have been used for the geometric modeling of local geoids (Zhan-ji and Yongqi, 1999;Yanalak and Baykal, 2001; Doganalp and Selvi, 2015;Doganalp, 2016;Karaaslan, et al, 2016;Şişman and Elevli, 2018;Yılmaz and Kuru, 2019;Yılmaz, 2019).…”

Section: Introductionmentioning

confidence: 99%

Local geoid determination using a generalized regression neural network and interpolation methods: A case study in Kars, Turkey

Akar

Konakoǧlu

2020

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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This study aimed to determine the most suitable local geoid model based on 641 GNSS/leveling points within the borders of Kars Province in eastern Turkey using the generalized regression neural network (GRNN), weighted average (WA), multiquadric (MQ), inverse multiquadric (IMQ) function, and local polynomial (LP) method. Among these methods used in local geoid determination, the studies conducted with the GRNN method are very limited in the literature. To test the performance of the model, 169 GNSS/leveling points were selected as test data. When selecting reference points and test points, care was taken to distribute these points homogeneously within the study area. The criteria of root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R 2 ) were used to assess the accuracy and error rates of the results achieved using the different methods. According the results of analysis, GRNN method yielded better results than other interpolation methods. These results have showed that GRNN method can be taken into account in modeling various geodesy problems.

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Makro ve Mikro Ölçekteki Lokal Jeoid Tespiti için Enterpolasyon Yöntemlerinin Karşılaştırılması

Cited by 6 publications

References 8 publications

Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS

Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS

Regional Frequency Analysis of Drought Indexes by L-Moments Method

Local geoid determination using a generalized regression neural network and interpolation methods: A case study in Kars, Turkey

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