Environmental Hydrology Laboratory
About E-Hydro Lab
The Environmental Hydrology Laboratory (stylized as E-Hydro Lab) is one of the laboratories of the Institute of Environmental Science & Meteorology, College of Science, University of the Philippines Diliman.
E-Hydro Lab intends to understand the dynamics of the water environment and hydrologic cycle by investigating water-related challenges, evaluating the current state of water resources, and conducting simulations of environmental models and best management practices.
Hydrologic Assessment and Modeling
E-Hydro Lab is dedicated to understanding the hydrologic/water cycle of Philippine watersheds/catchments and its major river basins. In addition, E-Hydro Lab also intends to investigate and project the effects of landuse/land cover changes, climate change, and extreme weather events on Philippine hydrology as well as determine potential hydro-hazards (i.e. flood events). (Map prepared by Richard Cornelio)
Environmental Monitoring and Modeling
Conventional environmental monitoring is important when gathering first-hand or baseline information of the current state of the Philippine environment. Ground-based data (i.e. water quality parameters) obtained from monitoring activities can be used to train machine learning algorithms to process satellite and unmanned aerial vehicle (UAV aka drone) images of the earth’s surface. In this regard, E-Hydro Lab aims to:
- Determine natural and anthropogenic factors and sources that contribute to the degradation of the water and terrestrial environments.
- Apply machine learning techniques to optimize algorithms in processing remotely-sensed images of water and terrestrial surfaces.
- Evaluate the current state of water bodies using water quality and statistical models.
Fate and Transport of Pollutants and Bacteria
Alongside the advancement of technology, introduction of new materials, and rapid urbanization is the increasing number of environmental challenges and concerns affecting public health. E-Hydro Lab recognizes the need to determine the fates of priority pollutants and bacteria as well as simulate transport processes associated with multiple media (air, water, and soil) in order to recommend preventive measures and policies for stakeholders.
Other Research Interests
Science-based Management and Best Management Practices
Desalination Seawater Batteries
Kim, Soobin, Yong Sung Kwon, JongCheol Pyo, Mayzonee Ligaray, Joong-Hyuk Min, Jung Min Ahn, Sang-Soo Baek, and Kyung Hwa Cho. "Developing a cloud-based toolbox for sensitivity analysis of a water quality model." Environmental Modelling & Software 141 (2021): 105068. Link: https://doi.org/10.1016/j.envsoft.2021.105068
Park, Sanghun, Mayzonee Ligaray, Youngsik Kim, Kangmin Chon, Moon Son, and Kyung Hwa Cho. "Investigating the influence of catholyte salinity on seawater battery desalination." Desalination 506 (2021): 115018. Link: https://doi.org/10.1016/j.desal.2021.115018
Yun, Daeun, Ather Abbas, Junho Jeon, Mayzonee Ligaray, Sang-Soo Baek, and Kyung Hwa Cho. "Developing a deep learning model for the simulation of micro-pollutants in a watershed." Journal of Cleaner Production 300 (2021): 126858. Link: https://doi.org/10.1016/j.jclepro.2021.126858
Kim, Minjeong, Mayzonee Ligaray, Yong Sung Kwon, Soobin Kim, Sangsoo Baek, JongCheol Pyo, Gahyun Baek et al. "Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modeling." Journal of hazardous materials 409 (2021): 124587. Link: https://doi.org/10.1016/j.jhazmat.2020.124587
Cho, Kyung Hwa, Yakov Pachepsky, Mayzonee Ligaray, Yongsung Kwon, and Kyung Hyun Kim. "Data assimilation in surface water quality modeling: A review." Water Research 186 (2020): 116307. Link: https://doi.org/10.1016/j.watres.2020.116307
Abbas, Ather, Sangsoo Baek, Minjeong Kim, Mayzonee Ligaray, Olivier Ribolzi, Norbert Silvera, Joong-Hyuk Min, Laurie Boithias, and Kyung Hwa Cho. "Surface and sub-surface flow estimation at high temporal resolution using deep neural networks." Journal of Hydrology 590 (2020): 125370. Link: https://doi.org/10.1016/j.jhydrol.2020.125370
- Kean Michael F. Cabigao, MS Environmental Science (2023): Applicability of remotely-sensed gridded precipitation and landuse data for SWAT modeling in the Philippines: A case for the Pampanga River Basin
- Apollo Jhunar A. Corral: Role of antecedent precipitation on the extreme flooding in Cagayan River Basin, Philippines during Tropical Cyclone Vamco (Ulysses)
- Michelle Anne S. Dela Cruz: Hydrologic assessment of Addalam River Basin to climate ad landuse/land cover changes using the Soil and Water Assessment Tool (SWAT)
- Angelita B. Pangilinan: Identifying flood root causes in Balanga City, Bataan and assessing retention basin as potential solution through SWMM
- Pheobe F. Pura: Influence of extreme rainfall events on the water quality and shoreline changes of Cadacan River Basin in the Province of Sorsogon