00000ctm a22000003i 4500 UP-99796217612880305 Buklod 20230215105418.0 m |o d | ta 181012s xx d r |||| u| (iLib)UPD-00396664137 DENGII rda eng LG 993.5 2018 E63 A23 Abad, Cesar G. Jr. author. Water quality assessment and estimation of pollution sources in Sta. Rosa River, Laguna Cesar G. Abad Jr. ; Augustus C. Resurreccion, adviser ; Maria Antonia N. Tanchuling, Christian R. Orozco, co-advisers. Quezon City College of Engineering, University of the Philippines Diliman 2018. ix, 60 leaves color illustrations 28 cm text rdacontent unmediated rdamedia volume rdacarrier Thesis (Bachelor of Science in Civil Engineering)--University of the Philippines Diliman May 2018. The Sta. Rosa-Silang sub watershed is one of the largest sub-basins of Laguna de Bay. A pollution model and water quality assessment were developed in this study to estimate waste loads to surface water coming from different sources. Water samples were taken from the upstream, midstream and downstream of the Sta. Rosa River to have a water quality data representative of the whole Sta. Rosa-Silang basin. Dissolved oxygen, biochemical oxygen demand, phosphate, total coliform and pH were the primary parameters used to assess water quality. The river's water quality was compared to class C standard from DAO 2016-08 and was identified as polluted. Unit Load Approach was adapted to estimate pollution load of point and nonpoint sources; the unit load was multiplied with the number of units in a specific area. Domestic source was identified as the biggest contributor of pollution and the downstream part of the river is the most polluted. Non-point source of pollution was highest in upstream to midstream while industrial pollution was equally distributed. ArcGIS was utilized to delineate the watershed and create map for water quality analysis and pollution load estimation. Water quality Measurement. Water Pollution. Resurreccion, Augustus C. adviser. Tanchuling, Maria Antonia N. co-adviser. Orozco, Christian R. co-adviser. Thesis FI UP UPD DENG-II LG 993.5 2018 E63 A23 Thesis