{"id":1758,"date":"2023-05-17T15:05:16","date_gmt":"2023-05-17T13:05:16","guid":{"rendered":"https:\/\/www.pmf.unsa.ba\/cep-sr\/?p=1758"},"modified":"2023-06-20T08:23:31","modified_gmt":"2023-06-20T06:23:31","slug":"izvjestaj-za-maj-2023-god-stari-grad","status":"publish","type":"post","link":"https:\/\/www.pmf.unsa.ba\/cep-sr\/?p=1758","title":{"rendered":"Izvje\u0161taj za maj 2023. god. Stari Grad"},"content":{"rendered":"<div class=\"omsc-tabs\"><ul class=\"omsc-tabs-control omsc-clearfix\"><li><a href=\"#tab-ms-stari-grad-28-04-04-05-2023\"><span>MS Stari Grad 28.04. - 04.05.2023. <\/span><\/a><\/li><li><a href=\"#tab-ms-stari-grad-05-05-11-05-2023\"><span>MS Stari Grad 05.05 - 11.05.2023 <\/span><\/a><\/li><li><a href=\"#tab-ms-stari-grad-12-05-18-05-2023\"><span>MS Stari Grad 12.05. - 18.05.2023. <\/span><\/a><\/li><li><a href=\"#tab-ms-stari-grad-19-05-25-05-2023\"><span>MS Stari Grad 19.05. - 25.05.2023. <\/span><\/a><\/li><\/ul><div class=\"omsc-tabs-tabs\"><br \/><div class=\"omsc-tabs-tab omsc-tab-ms-stari-grad-28-04-04-05-2023\"><\/p>\n<p>U periodu od 19.04 \u2013 20.04.2023. na MS Stari Grad je konstatovano 76 pol. zr\/m 3 . U kvalitativnom sastavu dominirao je polen drve\u0107a (breza, vrba, borovi, tisa, \u010dempresi i topola). Polen ostalih alergenih biljaka nije konstatovan u tre\u0107oj sedmici mjeseca aprila.<\/p>\n<p><a href=\"http:\/\/www.pmf.unsa.ba\/cep-sr\/wp-content\/uploads\/2023\/04\/Izvjestaj_MS_Stari-Grad-19.04.-20.04.pdf\">Za vi\u0161e informacija pogledati izvje\u0161taj u prilogu.<\/a><\/p>\n<p><\/div><br \/><div class=\"omsc-tabs-tab omsc-tab-ms-stari-grad-05-05-11-05-2023\"><\/p>\n<p>U periodu od 05.05 &#8211; 11.05.2023. na MS Stari Grad je konstatovano 164 pol. zr\/m 3 . U kvalitativnom sastavu dominirao je polen drve\u0107a (breza, borovi, tisa, \u010dempresi, divlji kesten, orah i bukva). Polen ostalih alergenih biljaka nije konstatovan u tokom druge sedmice mjeseca maja.<\/p>\n<p><a href=\"http:\/\/www.pmf.unsa.ba\/cep-sr\/wp-content\/uploads\/2023\/05\/Izvjestaj_MS_Stari-Grad-05.05.-11.05.pdf\">Za vi\u0161e informacija pogledati izvje\u0161taj u prilogu.<\/a><\/p>\n<p><\/div><br \/><div class=\"omsc-tabs-tab omsc-tab-ms-stari-grad-12-05-18-05-2023\"><\/p>\n<p>U periodu od 12.05. &#8211; 18.05.2023. na MS Stari Grad je konstatovano 221 pol. zr\/m 3 . U kvalitativnom sastavu dominirao je polen drve\u0107a (breza, borovi, tisa, \u010dempresi, divlji kesten i orah). Polen ostalih alergenih biljaka nije konstatovan u tokom tre\u0107e sedmice mjeseca maja.<\/p>\n<p><a href=\"http:\/\/www.pmf.unsa.ba\/cep-sr\/wp-content\/uploads\/2023\/06\/Izvjestaj_MS_Stari-Grad-12.05.-18.05.2023.pdf\">Za vi\u0161e informacija pogledati izvje\u0161taj u prilogu.<\/a><\/p>\n<p><\/div><br \/><div class=\"omsc-tabs-tab omsc-tab-ms-stari-grad-19-05-25-05-2023\"><\/p>\n<p>U periodu od 19.05 &#8211; 25.05.2023. na MS Stari Grad je konstatovano 204 pol. zr\/m 3 . U kvalitativnom sastavu dominirao je polen drve\u0107a (breza, borovi, tisa, \u010dempresi i divlji kesten). Polen ostalih alergenih biljaka nije konstatovan u tokom \u010detvrte sedmice mjeseca maja.<\/p>\n<p><a href=\"http:\/\/www.pmf.unsa.ba\/cep-sr\/wp-content\/uploads\/2023\/06\/Izvjestaj_MS_Stari-Grad-19.05.-25.05.2023.pdf\">Za vi\u0161e informacija pogledati izvje\u0161taj u prilogu.<\/a><\/p>\n<p><\/div><br \/><\/div><div class=\"omsc-clear\"><\/div><\/div>\n<p>\u00a0<\/p>\n\n\n<div class=\"mceNonEditable\">\n<div id=\"highcharts-f26c40f0-c1e2-4fbf-a379-0fe870de942b\"><svg xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" version=\"1.1\" class=\"highcharts-root\" style=\"font-family: 'lucida grande', 'lucida sans unicode', arial, helvetica, sans-serif; font-size: 12px;\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"600\" viewBox=\"0 0 600 400\" height=\"400\"><desc>Created with Highstock 5.0.2<\/desc><defs><rect x=\"0\" y=\"0\" width=\"515\" height=\"229\" fill=\"none\"><\/rect><\/defs><rect fill=\"#ffffff\" class=\"highcharts-background\" x=\"0\" y=\"0\" width=\"600\" 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-1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>22<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-0 \" transform=\"translate(424,186)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>19<\/tspan><\/text><\/g><\/g><g class=\"highcharts-data-labels highcharts-series-1 highcharts-column-series highcharts-color-1 \" transform=\"translate(75,72) scale(1 1)\" opacity=\"1\"><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-1 \" transform=\"translate(124,177)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>28<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-1 \" transform=\"translate(227,165)\" opacity=\"0\" visibility=\"hidden\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>42<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-1 \" transform=\"translate(330,172)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>34<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-1 \" transform=\"translate(433,176)\" opacity=\"0\" visibility=\"hidden\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>30<\/tspan><\/text><\/g><\/g><g class=\"highcharts-data-labels highcharts-series-2 highcharts-column-series highcharts-color-2 \" transform=\"translate(75,72) scale(1 1)\" opacity=\"1\"><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-2 \" transform=\"translate(133,185)\" opacity=\"0\" visibility=\"hidden\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>20<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-2 \" transform=\"translate(236,162)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; 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highcharts-series-3 highcharts-column-series highcharts-color-3 \" transform=\"translate(75,72) scale(1 1)\" opacity=\"1\"><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-3 \" transform=\"translate(39,150)\" opacity=\"0\" visibility=\"hidden\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>58<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-3 \" transform=\"translate(142,190)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>14<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-3 \" 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highcharts-data-label highcharts-data-label-color-4 \" transform=\"translate(254,181)\" opacity=\"0\" visibility=\"hidden\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>24<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-4 \" transform=\"translate(357,174)\" opacity=\"0\" visibility=\"hidden\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>32<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-4 \" transform=\"translate(460,173)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, 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visibility=\"hidden\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>21<\/tspan><\/text><\/g><\/g><g class=\"highcharts-data-labels highcharts-series-6 highcharts-column-series highcharts-color-6 \" transform=\"translate(75,72) scale(1 1)\" opacity=\"1\"><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-6 \" transform=\"translate(65,172)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>34<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-6 \" transform=\"translate(168,180)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; 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class=\"highcharts-data-labels highcharts-series-7 highcharts-line-series highcharts-color-undefined \" transform=\"translate(75,72) scale(1 1)\" opacity=\"1\"><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-undefined \" transform=\"translate(36,21)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>198<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-undefined \" transform=\"translate(139,52)\"><text x=\"5\" style=\"font-size: 11px; font-weight: bold; color: #000000; text-shadow: 1px 1px #ffffff, -1px -1px #ffffff, -1px 1px #ffffff, 1px -1px #ffffff; fill: #000000; text-rendering: geometricprecision;\" y=\"16\"><tspan>164<\/tspan><\/text><\/g><g class=\"highcharts-label highcharts-data-label highcharts-data-label-color-undefined 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x=\"2\" y=\"4\" width=\"12\" height=\"12\" fill=\"#434348\" rx=\"6\" ry=\"6\" class=\"highcharts-point\"><\/rect><\/g><g class=\"highcharts-legend-item highcharts-column-series highcharts-color-2 highcharts-series-2\" transform=\"translate(164.72265625,3)\"><text x=\"21\" y=\"15\" style=\"color: #333333; font-size: 12px; font-weight: bold; cursor: pointer; fill: #333333;\" text-anchor=\"start\"><tspan>3. dan<\/tspan><\/text><rect x=\"2\" y=\"4\" width=\"12\" height=\"12\" fill=\"#90ed7d\" rx=\"6\" ry=\"6\" class=\"highcharts-point\"><\/rect><\/g><g class=\"highcharts-legend-item highcharts-column-series highcharts-color-3 highcharts-series-3\" transform=\"translate(243.083984375,3)\"><text x=\"21\" y=\"15\" style=\"color: #333333; font-size: 12px; font-weight: bold; cursor: pointer; fill: #333333;\" text-anchor=\"start\"><tspan>4. dan<\/tspan><\/text><rect x=\"2\" y=\"4\" width=\"12\" height=\"12\" fill=\"#f7a35c\" rx=\"6\" ry=\"6\" class=\"highcharts-point\"><\/rect><\/g><g 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