MUÑOZ WEATHER

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LIST OF COMPLETED EXTERNAL PROJECTS

Project Photo/Logo Title Description Period Proponents Funding Agency
Development of Botanical Pesticides from Indigenous Plants in Selected Forest Ecosystems in Central Luzon The project generally aimed to develop botanical pesticides from indigenous plants from selected forest ecosystems in Central Luzon. First, the research determined the chemical constituents of the potential botanical pesticides of the indigenous plants. Results obtained in the investigation could be used as reference in the formulation of botanical pesticides for various pest and diseases, such as fungal diseases: Anthracnose (Colletotrichum gleosporioides), Twister (Gibberella moniliformis), Black mold (Aspergillus niger), Purple blotch (Alternaria porri) for onion; Fruit rot (Phytophthora infestans) for eggplant and tomato; Anthracnose (Colletotrichum sp.) for tomato; bacterial diseases: Bacterial wilt (Ralstonia solanacearum) for eggplant and tomato; insects: armyworm (Spodoptera exigua) for onion and fruit and shoot borer (Leucinodes orbonalis) for eggplant; weeds: Echinochloa sp. and Cyperus iria that could harm and damage the important crops in Central Luzon. In this regard, the developed green technology may lessen the excessive use of commercially available chemical pesticides in the vegetable farms and subsequently reduce the impacts of harmful chemicals on food safety and public health. Thus, the project could lead in the transition from chemical pesticides to botanical pesticides which would be a significant step in balanced, self-regulating and sustainable agricultural system. 1/7/2019-1/6/2022
  • Annie Melinda-Paz Alberto,
  • Ronaldo T. Alberto,
  • Roberto D. Pelayo,
  • Edmark P. Bulaong,
  • Runel B. Runes,
  • Michelle Tagaca,
  • Mary Angella D. Tolentino,
  • Marvin G. Martinez
-- Improvement of the Biotechnology Laboratory at the Institute for Climate Change & Environmental Management, Central Luzon State University -- 2019-2020
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-- ICommunity-Level SARAI- Enhanced Agricultural Monitoring System (CL-SEAMS) and Dissemination of Crops Advisories -- 5/1/2018-6/30/2021
  • Gella Patria L. Abella,
  • Tomas Gajete,
  • Frinz Philip B. Gajete,
  • Marcial A. Gonzales
  • John Dave C. Aquino
-- CRMinC3DZ Project 5: IEC Production, Promotion and Technology Transfer Document research results and processes in program implementation towards improving management and decision making 6/1/2019-12/30/2020
  • Annie Melinda Paz-Alberto,
  • Roann P. Alberto,
  • Anastacia Mendoza,
  • Carl Dionele Ponce,
  • Kyle Ceasar V. Muega,
  • Eliza E. Camaso
-- CRMinC3DZ Project 4: Coastal Resources Management Applying Systems Approach Using Gurobi Software The primary objective of the study was to develop a decision support-system for the provincial government of Zambales as a basis for coastal resource management. Specifically, to consolidate data from projects 1, 2, and 3 and identify optimal solution considering several development goals set by the stakeholders. 7/1/2018-3/31/2020
  • Annie Melinda Paz-Alberto,
  • Gella Patria L. Abella,
  • Leo Christopher Viray,
  • Zhandon Paul Cario
-- CRMinC3DZ Project 3: Assessment of Climate Change Adaptation Strategies The objective of the study was to gather and monitor climate change adaptation strategies of coastal ecosystems in the four municipalities and Introduce livelihood opportunities in relation to climate change adaptation. 7/1/2018-3/31/2020
  • Annie Melinda Paz-Alberto,
  • Edmark P. Bulaong,
  • Roan P. Alberto,
  • Eliza E. Camaso,
  • Carl Dionell Ponce,
  • Kyle Ceasar V. Muega
-- CRMinC3DZ Project 2: Disaster Risk Assessment The objective of the study was to assess the disaster risk of four (4) northern municipalities of Zambales. 7/1/2018-3/31/2020
  • Annie Melinda Paz-Alberto,
  • Eliza E. Camaso,
  • Gella Patria L. Abella,
  • Christopher R. Genaro
  • Kathrina M. Mapano
-- CRMinC3DZ: A Systems Approach Project 1: Bio-physical Assessment, Socio-economic Assessment Carrying Capacity and Economic Valuation This program was conducted from 2018-2020 in the province of Zambales in Central Luzon. 42 coastal barangays, 4 Marine Protected Areas and 1 Protected Area (Mt. Tapulao) serves as study areas. There are five projects under the program to wit: Project 1: Bio-physical Assessment, Socio-economic Assessment, Carrying Capacity and Economic Valuation; Project 2: Disaster Risk Assessment; Project 3: Assessment of Climate Change Adaptation Strategies; Project 4: Coastal Resources Management using GUROBI Software and; Project 5: IEC Production, Promotion and Technology Transfer. The primary objective of the study is to develop a decision support-system for the provincial government of Zambales as a basis for coastal resource management. Specifically, it aimed to: establish the physical, social and economic profile of the province; assess resources of mangrove , coral reef and seagrass ecosystems; evaluate the carrying capacity of the province in terms of tourists; provide economic valuation of use and non-use values of various ecosystems; conduct disaster risk including hazard and vulnerability assessments; assess existing and proposed climate change adaptation strategies for coastal communities; introduce/develop livelihood opportunities which are climate smart technologies from indigenous/ local materials; identify optimal solution considering several development goals set by the stakeholders; and promote and disseminate research results, coastal resource management, biodiversity conservation, green technology, climate change adaptation and disaster risk reduction management thru disaster communication, IEC and capability building of coastal communities. 2018-2019
  • Dr. Annie Melinda Paz-Alberto,
  • Ms. Shirly C. Serrano,
  • Ms. Diane Shiela C. Castillo,
  • Dr. Oliva Parico,
  • Dr. Alvin Reyes,
  • Mr. Edmark P. Bulaong,
  • Engr. Eliza E. Camaso,
  • Ms. Roann P. Alberto-Lao,
  • Mr. Roberto D. Pelayo
-- Smarter Approaches to Reinvigorate Agriculture as an Industry in the Philippines Phase 2 (SARAI2) -- 2018-2021
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-- Development and Promotion of Cost-effective Seed Production Technology for Onion -- 2017-2019
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-- Biodiversity Monitoring and Assessment of Coastal Ecosystems in Selected Municipalities of Zambales -- 2018
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-- Phil-LiDAR 2: Nationwide Detailed Resources Assessment using LiDAR In a rapidly changing world, new data will always come in handy. Such is an important matter for a country like the Philippines which has overwhelmingly rich natural resources but is often troubled with overpopulation, wrong urban planning, and natural hazards that disrupt the environment and leave the people vulnerable. Hence, the government initiated a project involving data extraction to map the country’s natural resources with the hope of being useful in monitoring, planning, and formulating policies for disaster preparedness and mitigation. The government used an existing technology called Light Detection and Ranging (LiDAR) under a project called Phil-LiDAR 2, which was simultaneously conducted under Phil-LiDAR 1 from 2014 to 2017. Both projects used LiDAR technology and were under the Disaster Risk and Exposure Assessment for Mitigation (DREAM) Program. While Phil-LiDAR 1 generated detailed flood hazard maps for major river basins nationwide, the Phil-LiDAR 2 project aimed to map the country’s agricultural, forest, coastal, hydrologic, and renewable energy resources. Phil-LiDAR 2 was implemented nationwide and for three years, experts from 14 State Universities and Colleges (SUCs) and Higher Education Institutions (HEIs) combined their efforts to achieve the project goals. 2014-2017
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-- Phil-LiDAR 1: Hazard Mapping of the Philippines using LiDAR The PHiL-LIDAR 1 Program, an expansion of the DREAM Program, aims to produce 3-D flood and hazard maps for the 2/3 of the Philippine river systems. Aside from addressing disaster risk reduction and climate change adaptation, the resource information to be generated from this project will also be useful in providing the information requirements of various sectors in the country. In recent years, earth surface height data has become a vital component of many geospatial-planning strategies and is widely used by government agencies and the commercial sector for a variety of applications from flood risk modeling to urban development. The emergence of new spatial data acquisition systems such as Light Detection and Ranging (LiDAR) present complementary or even alternative solutions to the acquisition of spatial information unanswered by existing technologies such as aerial photography or satellite imagery. The coverage and accuracy of topographic data extracted by these systems, complemented by the features detected by an onboard digital aerial camera, provides rich information that would greatly benefit agencies using spatial data. Before such data could be utilized, the raw data collected from the LiDAR and SAR would need to undergo various processing steps to obtain information that are critical input to the calibration and validation of flood models for the Philippine river basins. The enormous amount of LiDAR data should be filtered using various types of filters to extract the Digital Terrain Model (DTM) from the Digital Surface Model (DSM). The DTM is the boundary surface between the solid ground and the air, which is also the surface of superficial water run-off. This is the surface needed to model the geometry of the watershed and the floodplain. The DSM will be used in presenting the impact of flooding to man-made and natural features on the floodplain. Features significant to flood modeling and flood impact assessment such as buildings, forest cover, road and river network will also be extracted. The DOST-GIA Nationwide DREAM Program currently has covered only 1/3 of the total area of Philippine river systems, equivalent to 100,000 sq.km., or 18 major river basins. The Phil-LiDAR 1 program aims to cover the remaining 2/3 of river systems in the country by tapping state universities and colleges (SUCs) and private higher education institutions (HEIs) nationwide in the processing, validation, and modeling of the acquired LiDAR data. 2014-2017
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-- Integrated Research and Development Program on Biodiversity Conservation and Utilization in Central Luzon
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2011-2015 --