{"title":"基于QGIS和SAGA GIS地理信息系统的贝加尔湖海湾径流量估算","authors":"P. Sorokina","doi":"10.17150/2713-1734.2021.3(4).290-296","DOIUrl":null,"url":null,"abstract":"The research estimated the water surface area and volume of the fishing bay Proval in Lake Baikal by using the QGIS and SAGA geographic information systems. Such characteristics are used by ichthyologists to assess the reception capacity of the water area. Additionally, we considered the cases when the water level drops by 0.6 and 1.2 meters. \nThe results may be used to predict population size of Baikal omul in low-water periods.","PeriodicalId":389652,"journal":{"name":"System Analysis & Mathematical Modeling","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Estimation of the Bay Proval Volumein Lake Baikal Using the QGIS and the SAGA GIS Geographic Information Systems\",\"authors\":\"P. Sorokina\",\"doi\":\"10.17150/2713-1734.2021.3(4).290-296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research estimated the water surface area and volume of the fishing bay Proval in Lake Baikal by using the QGIS and SAGA geographic information systems. Such characteristics are used by ichthyologists to assess the reception capacity of the water area. Additionally, we considered the cases when the water level drops by 0.6 and 1.2 meters. \\nThe results may be used to predict population size of Baikal omul in low-water periods.\",\"PeriodicalId\":389652,\"journal\":{\"name\":\"System Analysis & Mathematical Modeling\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"System Analysis & Mathematical Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17150/2713-1734.2021.3(4).290-296\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"System Analysis & Mathematical Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17150/2713-1734.2021.3(4).290-296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of the Bay Proval Volumein Lake Baikal Using the QGIS and the SAGA GIS Geographic Information Systems
The research estimated the water surface area and volume of the fishing bay Proval in Lake Baikal by using the QGIS and SAGA geographic information systems. Such characteristics are used by ichthyologists to assess the reception capacity of the water area. Additionally, we considered the cases when the water level drops by 0.6 and 1.2 meters.
The results may be used to predict population size of Baikal omul in low-water periods.