Pub Date : 2023-12-10DOI: 10.32622/ijrat.112202301
Qin Chen
An iterative algorithm is presented for approximating the solution of the product type fuzzy Volterra integral equation. Firstly, the uniqueness of the solution of the original integral equation is proved by using Banach fixed point theorem. Next, the error estimation of the proposed iterative method is achieved. Finally, two numerical examples are given to illustrate the effectiveness of the method
{"title":"Numerical Solution of Product Type Fuzzy Volterra Integral Equation","authors":"Qin Chen","doi":"10.32622/ijrat.112202301","DOIUrl":"https://doi.org/10.32622/ijrat.112202301","url":null,"abstract":"An iterative algorithm is presented for approximating the solution of the product type fuzzy Volterra integral equation. Firstly, the uniqueness of the solution of the original integral equation is proved by using Banach fixed point theorem. Next, the error estimation of the proposed iterative method is achieved. Finally, two numerical examples are given to illustrate the effectiveness of the method","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"54 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-10DOI: 10.32622/ijrat.114202304
Gururaj T, Pradeep N, Vishwanath V K
With the usage of the internet and the growing prominence of communities, like social media we have witnessed a rise in cybercrime. Among these crimes one that stands out is Intimidator, which affects both people and adults alike. The increasing incidents of cyberbullying have led to consequences such as anxiety, aggression, depression and tragically even suicide. Consequently, there is now a pressing need for content regulation on social media platforms. This research focuses on developing a model of identifying text-based bullying messages and comments by categorizing them into five distinct types; Violence, Vulgar language Offensive content, sexually explicit material, and Hate Speech. The proposed approach involves utilizing Natural Language Processing (NLP) techniques with Machine Learning methods. The dataset is initially. Processed to remove information before extracting meaningful features. Finally, the model undergoes training and testing to ensure reliable results, in detecting instances of Intimidator in text-based data.
{"title":"Shielding Online Communities: Natural Language Processing and Machine Learning Strategies against Social Media Intimidation","authors":"Gururaj T, Pradeep N, Vishwanath V K","doi":"10.32622/ijrat.114202304","DOIUrl":"https://doi.org/10.32622/ijrat.114202304","url":null,"abstract":"With the usage of the internet and the growing prominence of communities, like social media we have witnessed a rise in cybercrime. Among these crimes one that stands out is Intimidator, which affects both people and adults alike. The increasing incidents of cyberbullying have led to consequences such as anxiety, aggression, depression and tragically even suicide. Consequently, there is now a pressing need for content regulation on social media platforms. This research focuses on developing a model of identifying text-based bullying messages and comments by categorizing them into five distinct types; Violence, Vulgar language Offensive content, sexually explicit material, and Hate Speech. The proposed approach involves utilizing Natural Language Processing (NLP) techniques with Machine Learning methods. The dataset is initially. Processed to remove information before extracting meaningful features. Finally, the model undergoes training and testing to ensure reliable results, in detecting instances of Intimidator in text-based data.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"15 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138981972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.32622/ijrat.111202312
M. Cüneyt Bagdatli, Mohammad Aalim Nazari
This study was carried out in order to evaluate the current land uses, land elevation and aspect characteristics spatially by using 1/25.000 scaled digital soil maps in Nevşehir province. For this purpose, Arc GIS 10.3.1 program from Geography Information Systems (GIS) software was used and some land features were classified as spatial. As a result of the research, it was seen that dry agricultural areas dominate the area and it covers an area of 336,653.36 hectares (60.47%). It covers a part of 109180.06 hectares of meadow and pasture area. When the land elevation is examined, it is determined that the highest land level is 1985 m and the lowest land level is 860 m. When the land surface is examined in general, it is seen that flat and near-flat areas are few. When the directional conditions of the lands were examined, it was seen that the lands were generally in the north oriented group.
{"title":"Spatial Evaluation of Current Landuse, Elevation and Aspect Features of Nevsehir Province Lands (Türkiye) by GIS Mapping","authors":"M. Cüneyt Bagdatli, Mohammad Aalim Nazari","doi":"10.32622/ijrat.111202312","DOIUrl":"https://doi.org/10.32622/ijrat.111202312","url":null,"abstract":"This study was carried out in order to evaluate the current land uses, land elevation and aspect characteristics spatially by using 1/25.000 scaled digital soil maps in Nevşehir province. For this purpose, Arc GIS 10.3.1 program from Geography Information Systems (GIS) software was used and some land features were classified as spatial. As a result of the research, it was seen that dry agricultural areas dominate the area and it covers an area of 336,653.36 hectares (60.47%). It covers a part of 109180.06 hectares of meadow and pasture area. When the land elevation is examined, it is determined that the highest land level is 1985 m and the lowest land level is 860 m. When the land surface is examined in general, it is seen that flat and near-flat areas are few. When the directional conditions of the lands were examined, it was seen that the lands were generally in the north oriented group.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136369325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-30DOI: 10.32622/ijrat.111202307
Prashant Gosai, Usha Barad
Statistics have shown that 20% of all road accidents are fatigue-related, and drowsy detection is a car safety algorithm that can alert a snoozing driver in hopes of preventing an accident. This work will propose real-time drowsiness detection; this approach is based on Convolution Neural Network (CNN) of Deep Learning. Which is aimed to implement driver’s behavior-based drowsiness detection scenario. Convolution Neural Network (CNN) for learning effective features or facial landmark input to detecting drowsiness by given an input video of driver. A common global face which is not capable enough to extracting effective facial landmarks and features, like facial movements and head gestures, which are strictly important for learning. This proposed work consists Convolution Neural Network (CNN) for attaining well-aligned facial movements and head gestures important for reliable detection. The output of neural network is integrated and feed to classifier for drowsiness detection.
{"title":"Real time Driver’s Drowsiness Detection by Convolution Neural Network (CNN) of Deep Learning Approach","authors":"Prashant Gosai, Usha Barad","doi":"10.32622/ijrat.111202307","DOIUrl":"https://doi.org/10.32622/ijrat.111202307","url":null,"abstract":"Statistics have shown that 20% of all road accidents are fatigue-related, and drowsy detection is a car safety algorithm that can alert a snoozing driver in hopes of preventing an accident. This work will propose real-time drowsiness detection; this approach is based on Convolution Neural Network (CNN) of Deep Learning. Which is aimed to implement driver’s behavior-based drowsiness detection scenario. Convolution Neural Network (CNN) for learning effective features or facial landmark input to detecting drowsiness by given an input video of driver. A common global face which is not capable enough to extracting effective facial landmarks and features, like facial movements and head gestures, which are strictly important for learning. This proposed work consists Convolution Neural Network (CNN) for attaining well-aligned facial movements and head gestures important for reliable detection. The output of neural network is integrated and feed to classifier for drowsiness detection.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135464649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-30DOI: 10.32622/ijrat.111202301
Santosh D. Sancheti, Dipak D. Sancheti
This study experimentally investigates various heat transfer characteristics, pressure drop, friction factor, Nusselt number, and Dean Number in a double-pipe helical coil heat exchanger. The study examines the hot water mass flow rates ranging from 0.02 to 0.12 kg/s and the cold-water mass flow rates ranging from 0.055 to 0.15 kg/s. The cold-water inlet temperature was maintained at 29°C, while the hot water inlet temperature varied between 65-75°C. Based on the hydraulic diameter of the annular space between the two tubes, the Reynolds number ranged from 1000-6000. All required parameters, such as the inlet and outlet temperatures of the inner coil and annulus fluids and the flow rate of fluids, were measured using appropriate instruments. Seventy-two test runs were conducted, from which the heat transfer coefficients of the inner coil side and annulus side were calculated. The calculated heat transfer coefficients of the inner coil were compared with available correlations from the literature, and a reasonable agreement was found.
{"title":"Experimental Study of Double Pipe Helical Coil Heat Exchangers in the Laminar to Transitional Flow Regime","authors":"Santosh D. Sancheti, Dipak D. Sancheti","doi":"10.32622/ijrat.111202301","DOIUrl":"https://doi.org/10.32622/ijrat.111202301","url":null,"abstract":"This study experimentally investigates various heat transfer characteristics, pressure drop, friction factor, Nusselt number, and Dean Number in a double-pipe helical coil heat exchanger. The study examines the hot water mass flow rates ranging from 0.02 to 0.12 kg/s and the cold-water mass flow rates ranging from 0.055 to 0.15 kg/s. The cold-water inlet temperature was maintained at 29°C, while the hot water inlet temperature varied between 65-75°C. Based on the hydraulic diameter of the annular space between the two tubes, the Reynolds number ranged from 1000-6000. All required parameters, such as the inlet and outlet temperatures of the inner coil and annulus fluids and the flow rate of fluids, were measured using appropriate instruments. Seventy-two test runs were conducted, from which the heat transfer coefficients of the inner coil side and annulus side were calculated. The calculated heat transfer coefficients of the inner coil were compared with available correlations from the literature, and a reasonable agreement was found.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81977913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-30DOI: 10.32622/ijrat.104202201
Le Yu, Yumei Chen
In this paper, the fuzzy Kamal transform is used to solve fuzzy Volterra integral-differential equations, which is based on Kamal transform. Kamal transform takes very little computation and time. Numerical examples are given to prove the effectiveness of Kamal transform in solving fuzzy Volterra integro-differential equations
{"title":"Solving Fuzzy Volterra Integro-Differential Equations By Using Fuzzy Kamal Transform","authors":"Le Yu, Yumei Chen","doi":"10.32622/ijrat.104202201","DOIUrl":"https://doi.org/10.32622/ijrat.104202201","url":null,"abstract":"In this paper, the fuzzy Kamal transform is used to solve fuzzy Volterra integral-differential equations, which is based on Kamal transform. Kamal transform takes very little computation and time. Numerical examples are given to prove the effectiveness of Kamal transform in solving fuzzy Volterra integro-differential equations","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87611281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.32622/ijrat.103202204
Subhankar Adhikari
As days are progressing the effect of global warming increases rapidly through-out the world. It is a bigger threat for not only human being but also for the whole animal kingdom. If we look deeply into the reason behind global warming, there are some gases behind it. In this regard, the most harmful gas which is responsible for global warming is 𝑪𝒐𝟐 . Emission of carbon from different industry helps in formation of 𝑪𝒐𝟐. So, utility of carbon emission reduction technology is indispensible for both developed and developing countries. Different Governments consider the act of reduction of carbon emission level by applying some technology as a social responsibility. Very often this technology is termed as Green technology. Also, in many situations upper bound of carbon emission level is specified to arisen more consciousness among the people. A mathematical model has been framed incorporating Green technology. Solution procedure under different structures is discussed. Numerical example has been provided illustrating this model.
{"title":"Incorporation of Competition Among Retailers in a Supply Chain Model with Carbon Emission Reduction Technology","authors":"Subhankar Adhikari","doi":"10.32622/ijrat.103202204","DOIUrl":"https://doi.org/10.32622/ijrat.103202204","url":null,"abstract":"As days are progressing the effect of global warming increases rapidly through-out the world. It is a bigger threat for not only human being but also for the whole animal kingdom. If we look deeply into the reason behind global warming, there are some gases behind it. In this regard, the most harmful gas which is responsible for global warming is 𝑪𝒐𝟐 . Emission of carbon from different industry helps in formation of 𝑪𝒐𝟐. So, utility of carbon emission reduction technology is indispensible for both developed and developing countries. Different Governments consider the act of reduction of carbon emission level by applying some technology as a social responsibility. Very often this technology is termed as Green technology. Also, in many situations upper bound of carbon emission level is specified to arisen more consciousness among the people. A mathematical model has been framed incorporating Green technology. Solution procedure under different structures is discussed. Numerical example has been provided illustrating this model.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"13 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80404819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-30DOI: 10.32622/ijrat.102202202
M. C. Bağdatli, E. Arıkan
This study was carried out within the scope of spatial evaluation of majör soil groups, land slope, erosion degrees, soil depth classes, and other soil properties by using 1/25.000 scaled digital soil maps in Niğde province. Arc GIS 10.3.1 software, which is one of the Geography Information Systems (GIS) software, was used for spatial analysis. Classification results were evaluated according to the "Soil and Land Classification Standards Technical Instruction" published by the Ministry of Agriculture and Rural Affairs in 2005. As a result of the research, it was seen that the class covering the largest area in terms of major soil groups was brown soils with 224466.1 ha. Red-brown soils cover the least area with 45.4 ha. Areas with a steep slope with a 5% slope on the land slope cover the largest area of 140325.7 ha. Areas with a very steep slope of 6%, on the other hand, cover the least area with 69064 ha. Areas with C class (50-90 cm) soil depth in the study area cover the largest area with 294054.7 ha. The areas with E class (0-20 cm) soil depth were seen in the least area with 22203.5 ha. In terms of soil erosion classes, the most common erosion class is III. These are areas with a degree of erosion risk and their total area is 269374.8 ha. It has been determined that areas with slightly salty, alkaline, weak, and adequate drainage are seen in an area of 234.1 ha in the research area. Areas with insufficient drainage have an area of 7350.9 ha. In this study, spatial analysis of some land and soil properties in Niğde province was carried out and distribution maps were produced. It is thought that the results of the research will make significant contributions to the agricultural investments operating in the region.
{"title":"Determining and GIS Mapping Some Soil and Land Properties in Nigde Province of Turkey","authors":"M. C. Bağdatli, E. Arıkan","doi":"10.32622/ijrat.102202202","DOIUrl":"https://doi.org/10.32622/ijrat.102202202","url":null,"abstract":"This study was carried out within the scope of spatial evaluation of majör soil groups, land slope, erosion degrees, soil depth classes, and other soil properties by using 1/25.000 scaled digital soil maps in Niğde province. Arc GIS 10.3.1 software, which is one of the Geography Information Systems (GIS) software, was used for spatial analysis. Classification results were evaluated according to the \"Soil and Land Classification Standards Technical Instruction\" published by the Ministry of Agriculture and Rural Affairs in 2005. As a result of the research, it was seen that the class covering the largest area in terms of major soil groups was brown soils with 224466.1 ha. Red-brown soils cover the least area with 45.4 ha. Areas with a steep slope with a 5% slope on the land slope cover the largest area of 140325.7 ha. Areas with a very steep slope of 6%, on the other hand, cover the least area with 69064 ha. Areas with C class (50-90 cm) soil depth in the study area cover the largest area with 294054.7 ha. The areas with E class (0-20 cm) soil depth were seen in the least area with 22203.5 ha. In terms of soil erosion classes, the most common erosion class is III. These are areas with a degree of erosion risk and their total area is 269374.8 ha. It has been determined that areas with slightly salty, alkaline, weak, and adequate drainage are seen in an area of 234.1 ha in the research area. Areas with insufficient drainage have an area of 7350.9 ha. In this study, spatial analysis of some land and soil properties in Niğde province was carried out and distribution maps were produced. It is thought that the results of the research will make significant contributions to the agricultural investments operating in the region.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"188 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80434135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-30DOI: 10.32622/ijrat.102202209
Angom Sangeeta, Oinam Kingson, N. Pandey, Ajano Khalo, P. Borgohain
The grain-size analysis in the sandstones of the Renji Formation (Barail Group) and Bhuban Formation (Surma Group) in parts of the Barak Basin, western Manipur, India was carried to determine the grain size distributions, modes of sediment transportation and depositional environment. The grain size of the Barail sandstone ranges from 2.3ɸ to 3ɸ and their grains show well sorted to moderately well sorted, symmetrical to coarse - skewed as well as nearly very fine – skewed and mesokurtic nature whereas the grain size of the Surma sandstone varies from 2.7ɸ to 3.4ɸand these grainsdisplay moderately well sorted to moderately sorted, coarse - and symmetrical skewed, mesokurtic to very leptokurtic nature. The Kurtosis analysis shows that the Barail siliciclastic sediments have been sorted in normal energy condition, whereas the Surma siliciclastic sediments likely have been sorted in normal to low as well as high energy conditions. Generally, the Barail and Surma sandstones show unimodal distribution. A shallow marine environment has been envisaged for the deposition of sediments of both the Barail and the Surma sandstone, dominated by saltation process.
{"title":"Grain size analysis of the Renji Formation (Barail) and Bhuban Formation (Surma) sandstones in the Barak basin, Manipur, India: Implication for nature of transport and depositional environment","authors":"Angom Sangeeta, Oinam Kingson, N. Pandey, Ajano Khalo, P. Borgohain","doi":"10.32622/ijrat.102202209","DOIUrl":"https://doi.org/10.32622/ijrat.102202209","url":null,"abstract":"The grain-size analysis in the sandstones of the Renji Formation (Barail Group) and Bhuban Formation (Surma Group) in parts of the Barak Basin, western Manipur, India was carried to determine the grain size distributions, modes of sediment transportation and depositional environment. The grain size of the Barail sandstone ranges from 2.3ɸ to 3ɸ and their grains show well sorted to moderately well sorted, symmetrical to coarse - skewed as well as nearly very fine – skewed and mesokurtic nature whereas the grain size of the Surma sandstone varies from 2.7ɸ to 3.4ɸand these grainsdisplay moderately well sorted to moderately sorted, coarse - and symmetrical skewed, mesokurtic to very leptokurtic nature. The Kurtosis analysis shows that the Barail siliciclastic sediments have been sorted in normal energy condition, whereas the Surma siliciclastic sediments likely have been sorted in normal to low as well as high energy conditions. Generally, the Barail and Surma sandstones show unimodal distribution. A shallow marine environment has been envisaged for the deposition of sediments of both the Barail and the Surma sandstone, dominated by saltation process.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86750954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-10DOI: 10.32622/ijrat.101202204
M. C. Bağdatli, Mohammad Aalim Nazari
This study was carried out in Nevşehir province of Turkey with the aim of spatial evaluation of major soil groups, land use capabilities and subclasses by using 1/25.000 scaled digital soil maps. For this purpose, the Geography Information Systems (GIS) software, Arc GIS 10.3.1 was used. As a result of the research; The area covered by brown soils corresponds to 50.68% (304248.49 ha) of the total area. Hydromorphic soils were observed in an area of 7.23 ha. VI. class lands are in the majority in Nevşehir province and the ratio of these lands in the total area is 39.06% (234491.21 ha). II. class lands are 9.48% (56934.79 ha) of the total area and VIII. class lands cover the least area. These lands correspond to 5564.41 ha and 0.93% of the total area. It was determined that the areas with slope and erosion damage and soil insufficiency in the study area correspond to 62.80% of the total area and cover an area of 376990.54 ha. In the study, the spatial distribution maps of the land use capabilities will form the basis for the studies to be carried out for agricultural purposes in Nevşehir province.
{"title":"GIS Based Mapping and Assessment of Major Soil Groups and Land Capabilities in Nevsehir Province of Turkey","authors":"M. C. Bağdatli, Mohammad Aalim Nazari","doi":"10.32622/ijrat.101202204","DOIUrl":"https://doi.org/10.32622/ijrat.101202204","url":null,"abstract":"This study was carried out in Nevşehir province of Turkey with the aim of spatial evaluation of major soil groups, land use capabilities and subclasses by using 1/25.000 scaled digital soil maps. For this purpose, the Geography Information Systems (GIS) software, Arc GIS 10.3.1 was used. As a result of the research; The area covered by brown soils corresponds to 50.68% (304248.49 ha) of the total area. Hydromorphic soils were observed in an area of 7.23 ha. VI. class lands are in the majority in Nevşehir province and the ratio of these lands in the total area is 39.06% (234491.21 ha). II. class lands are 9.48% (56934.79 ha) of the total area and VIII. class lands cover the least area. These lands correspond to 5564.41 ha and 0.93% of the total area. It was determined that the areas with slope and erosion damage and soil insufficiency in the study area correspond to 62.80% of the total area and cover an area of 376990.54 ha. In the study, the spatial distribution maps of the land use capabilities will form the basis for the studies to be carried out for agricultural purposes in Nevşehir province.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"91 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87120045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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