Mirela-Alina Sandu, A. Virsta, Gina Vasilescaeteanu, A. Iliescu, Ionel Ivan, C. Nicolae, Marian Stoian, R. Madjar
{"title":"基于RGB成像的伊尔福县moara domneascĂ池塘水质监测","authors":"Mirela-Alina Sandu, A. Virsta, Gina Vasilescaeteanu, A. Iliescu, Ionel Ivan, C. Nicolae, Marian Stoian, R. Madjar","doi":"10.17930/agl2023122","DOIUrl":null,"url":null,"abstract":"The aim of the present study was the assessment of the water quality collected from Moara Domnească pond, in Ilfov County, on the basis of the following physico-chemical parameters: turbidity (T), pH, electrical conductivity (EC), chloride (Cl-), total hardness (TH), dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), phosphate-phosphorus (P-PO43-) and nitrogen pollutant species: nitrate-nitrogen (N-NO3-), nitritenitrogen (N-NO2-), ammonium nitrogen (N-NH4+). Water sampling was performed during autumn (September) 2022 from 15 sampling points from surface layer (0.5 m). Based on the obtained results and according to Order 161/2006, water collected from Moara Domnească pond was classified in quality classes. Limnological surveys of physicochemical parameters were completed by high-resolution remote sensing imagery by unmanned aerial vehicles (UAVs). For each flight performance, an orthomosaic of georeferenced RGB images was made and the different features of interest were monitored and quantified by an automatic identification. UAV imagery is a useful tool for environmental lake management. Reporting the coordinates of the sampling points on the orthomosaic it helps to interpret better the results, having an overview of the studied area.","PeriodicalId":44979,"journal":{"name":"AgroLife Scientific Journal","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"WATER QUALITY MONITORING OF MOARA DOMNEASCĂ POND, ILFOV COUNTY, USING UAV-BASED RGB IMAGING\",\"authors\":\"Mirela-Alina Sandu, A. Virsta, Gina Vasilescaeteanu, A. Iliescu, Ionel Ivan, C. Nicolae, Marian Stoian, R. Madjar\",\"doi\":\"10.17930/agl2023122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the present study was the assessment of the water quality collected from Moara Domnească pond, in Ilfov County, on the basis of the following physico-chemical parameters: turbidity (T), pH, electrical conductivity (EC), chloride (Cl-), total hardness (TH), dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), phosphate-phosphorus (P-PO43-) and nitrogen pollutant species: nitrate-nitrogen (N-NO3-), nitritenitrogen (N-NO2-), ammonium nitrogen (N-NH4+). Water sampling was performed during autumn (September) 2022 from 15 sampling points from surface layer (0.5 m). Based on the obtained results and according to Order 161/2006, water collected from Moara Domnească pond was classified in quality classes. Limnological surveys of physicochemical parameters were completed by high-resolution remote sensing imagery by unmanned aerial vehicles (UAVs). For each flight performance, an orthomosaic of georeferenced RGB images was made and the different features of interest were monitored and quantified by an automatic identification. UAV imagery is a useful tool for environmental lake management. Reporting the coordinates of the sampling points on the orthomosaic it helps to interpret better the results, having an overview of the studied area.\",\"PeriodicalId\":44979,\"journal\":{\"name\":\"AgroLife Scientific Journal\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AgroLife Scientific Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17930/agl2023122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AgroLife Scientific Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17930/agl2023122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRONOMY","Score":null,"Total":0}
WATER QUALITY MONITORING OF MOARA DOMNEASCĂ POND, ILFOV COUNTY, USING UAV-BASED RGB IMAGING
The aim of the present study was the assessment of the water quality collected from Moara Domnească pond, in Ilfov County, on the basis of the following physico-chemical parameters: turbidity (T), pH, electrical conductivity (EC), chloride (Cl-), total hardness (TH), dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), phosphate-phosphorus (P-PO43-) and nitrogen pollutant species: nitrate-nitrogen (N-NO3-), nitritenitrogen (N-NO2-), ammonium nitrogen (N-NH4+). Water sampling was performed during autumn (September) 2022 from 15 sampling points from surface layer (0.5 m). Based on the obtained results and according to Order 161/2006, water collected from Moara Domnească pond was classified in quality classes. Limnological surveys of physicochemical parameters were completed by high-resolution remote sensing imagery by unmanned aerial vehicles (UAVs). For each flight performance, an orthomosaic of georeferenced RGB images was made and the different features of interest were monitored and quantified by an automatic identification. UAV imagery is a useful tool for environmental lake management. Reporting the coordinates of the sampling points on the orthomosaic it helps to interpret better the results, having an overview of the studied area.