{"title":"Investigation of Landform and Sunlight in Zayandeh Roud Basin","authors":"K. Ostad‑Ali‑Askari, Maryam Marani-Barzani","doi":"10.3844/ajeassp.2021.455.460","DOIUrl":null,"url":null,"abstract":"Corresponding author: Kaveh Ostad-Ali-Askari Department of Water Engineering, College of Agriculture, Isfahan University of Technology, 8415683111 Isfahan, Iran Email: kaveh.oaa2000@gmail.com Abstract: Solar energy is as of energy that it is significant in human activities. Human activities can use in agricultures, factories, industrial and residential plan. In other hand, solar energy is as renewable energy can help to have safety environment. This study tries to say significant of identification of landforms and getting cheap and safe energy. In this study, classification of landform map was identified for Zayandeh Roud Basin (Z. R. B), Iran. The methodology presents elevation of landscapes that are useful to get additional information for geomorphological and landscape studies. Using a relative classification model, the object primitives were categorized as landform elements, made both on the objects’ altitudinal position and the surface shape. The c lassification has three classes: Low land, midland, high land. Solar energy advantage has been considered by measuring sunlight data in 10 climate stations. Elevation parameter and sunlight value are two parameters that used for this study. The methodology introduced in this study can be used almost for any application, where relationships between topographic features and climate parameters are to be assessed.","PeriodicalId":7425,"journal":{"name":"American Journal of Engineering and Applied Sciences","volume":"45 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Engineering and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3844/ajeassp.2021.455.460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Corresponding author: Kaveh Ostad-Ali-Askari Department of Water Engineering, College of Agriculture, Isfahan University of Technology, 8415683111 Isfahan, Iran Email: kaveh.oaa2000@gmail.com Abstract: Solar energy is as of energy that it is significant in human activities. Human activities can use in agricultures, factories, industrial and residential plan. In other hand, solar energy is as renewable energy can help to have safety environment. This study tries to say significant of identification of landforms and getting cheap and safe energy. In this study, classification of landform map was identified for Zayandeh Roud Basin (Z. R. B), Iran. The methodology presents elevation of landscapes that are useful to get additional information for geomorphological and landscape studies. Using a relative classification model, the object primitives were categorized as landform elements, made both on the objects’ altitudinal position and the surface shape. The c lassification has three classes: Low land, midland, high land. Solar energy advantage has been considered by measuring sunlight data in 10 climate stations. Elevation parameter and sunlight value are two parameters that used for this study. The methodology introduced in this study can be used almost for any application, where relationships between topographic features and climate parameters are to be assessed.