dc.contributor.author | Sapigao, Harvey | |
dc.date.accessioned | 2025-03-14T01:38:29Z | |
dc.date.available | 2025-03-14T01:38:29Z | |
dc.date.issued | 2025-01-17 | |
dc.identifier.citation | Sapigao, H. (2025, January 17). UPD experts determine the optimal model for predicting algal blooms. DailyGuardian, pp. 13, 14. | en |
dc.identifier.uri | http://hdl.handle.net/20.500.12174/15883 | |
dc.description | Algal blooms, which occur when algae overgrow in bodies of water, can not only turn the water green but also kill fish and contaminate the water supply of nearby communities. Laguna Lake, one of Metro Manila’s major sources of bangus and tilapia, as well as drinking water, is particularly prone to algal blooms, especially during El Niño. A standard method for monitoring the algal population in water is to measure chlorophyll-a, the green pigment produced by algae. However, “If we wait for [the instruments] to indicate high algal content, it may already be too late since the bloom may have already occurred,” explains author Dr. Karl Ezra Pilario of the UPD Department of Chemical Engineering. | en |
dc.language.iso | en | en |
dc.publisher | Daily Guardian Multi-Media Services, Inc. | en |
dc.relation.uri | https://dailyguardian.com.ph/upd-experts-determine-the-optimal-model-for-predicting-algal-blooms/ | en |
dc.title | UPD experts determine the optimal model for predicting algal blooms | en |
dc.type | newspaperArticle | en |
dc.citation.journaltitle | DailyGuardian | en |
dc.citation.firstpage | 13 | en |
dc.citation.lastpage | 14 | en |
local.subject.classification | DY20250117_13 | en |
local.subject.personalname | Espino, Maria Pythias | |
local.subject.personalname | de los Reyes V, Aurelio | |
local.subject.personalname | Escober, Eric Jan | |
local.subject.personalname | Pilario, Karl Ezra | |
local.subject.corporatename | University of the Philippines Diliman (UPD) | en |
dc.subject.agrovoc | algal blooms | en |
dc.subject.agrovoc | fish kill | en |
dc.subject.agrovoc | chlorophyll a | en |
dc.subject.agrovoc | water quality | en |
dc.subject.agrovoc | monitoring techniques | en |