River flow assessments and ecologically sustainable water management plans are now possible due to the advancement of sophisticated computer models. The US Army Corps of Engineers developed the HEC-HMS model, which can be used for various hydrological simulations. Rainfall-runoff modeling aids in estimating peak flows, which is critical for water resource management planning. On December 18, 2017, a heavy rainfall event in the ungauged Irawan basin in Puerto Princesa City, Palawan, Philippines, was simulated to determine the peak flow and amount of water. The current research aims to construct a rainfall-runoff simulation model. A specific hyetograph is used to make the hydrographs for the basin. This study utilizes ArcGIS and QGIS, which perform the geospatial analysis and provide the HEC-HMS model's hydrologic modeling inputs. The hydrological parameters were determined using soil type, land use, and land cover maps. Incorporating SCS loss, Clark unit hydrograph, and Muskingum flow routing, HEC-HMS was employed in the rainfall-runoff simulation. Rainfall data corresponding to the recorded streamflow was used to calibrate and validate the parameters. Several performance metrics, including Nash-Sutcliffe efficiency (NSE) and Percentage Bias (PBIAS), were utilized to evaluate the overall effectiveness of the system. An effective decision-making and warning system can be implemented using the developed model. Doi: 10.28991/CEJ-2023-09-01-017 Full Text: PDF
In the recent past, Integrated Water Resource Management (IWRM) has emerged as the method of choice for resolving a wide range of water-related conflicts that arise between governments and stakeholders all over the globe. Despite a variety of regulations and initiatives being put into place, there is still skepticism over their actual execution. In 2006, the Philippine government began updating the water policy and regulatory framework to promote IWRM as a foundation for sustainable development. However, implementation of this national and subnational structure is still in process. This study intends to identify and rank the key elements likely to affect IWRM changes at the subnational level in Palawan Province. Specifically, this study aims to identify the elements that might improve the result of adopting IWRM, which is as important as designing policies, institutions, and instruments for putting the approach into action. This approach combined the Strengths, Weaknesses, Opportunities, and Threats (SWOT) and Analytic Hierarchy Process (AHP) techniques, a hybrid multi-criteria decision procedure, SWOT-AHP. Expert group discussion revealed the essential elements impacting IWRM implementation in this research, and these elements were categorized into SWOT categories. The AHP approach was used to determine the relative relevance of each component identified in the SWOT analysis. The results show that the following ranking groups have a higher priority for Puerto Princesa: threats (group weight 48.8%), strengths (35.4%), weaknesses (10.7%), and opportunities (5.1%). The ranking group for Roxas is the following: opportunities (36.8%), strengths (27.4%), weaknesses (21.5%), and threats (14.3%). Taytay has the following ranking group: opportunities (27.9%), weaknesses (27.1%), threats (24.7%), and strengths (20.3%). While El Nido has the following ranking group: strengths (33.5%), weaknesses (24.3%), opportunities (24%), and threats (18.2%). This research identified and prioritized the key components essential to the effectiveness of the IWRM concept in the research sites. This study recommends evaluating IWRM implementation using the upgraded element framework, enhancing the strategic framework to assess state, federal, and local IWRM governance performance.
According to the United Nation's Sustainable Development Goal (SDG 6), the world needs to sustainably manage water resources through integrated water resource management (IWRM). The Philippines is committed to this goal by ensuring the implementation of IWRM at all levels. Concurrently, there is growing evidence that there is presently no consolidated data on the status of implementation at the sub-national level. With water shortages on the increase, it's more important than ever to find solutions to settle disputes and trade-offs so that water can be distributed effectively, sustainably, and equally. This paper aims to investigate the degree of implementation of IWRM that presents the actual state of affairs in terms of water management at the sub-national level. This study is focused on Palawan Province, with the following sites: Puerto Princesa City, El Nido, Roxas, and Taytay. A structured survey questionnaire was drawn up in accordance with the existing questionnaire developed for this purpose. The obtained data were computed using the steps developed for calculating the indicators of IWRM implementation degree. Puerto Princesa City, El Nido, Roxas, and Taytay have the following IWRM ratings: 39.93, 32.03, 37.99, and 36.32%, respectively, which means "medium-low" in which the IWRM components have largely been institutionalized, and deployment is well underway. In these regions, a subnational water management scheme exists, but its maximum capacity is mostly unrealized due to numerous constraints. The findings show that the numerous water laws are confusing and that water data for planning purposes is lacking. Even though there are many water agencies, they are not interconnected. This study is useful for successful IWRM implementation, which should encourage sustainable water resource management for environmental sustainability. Integrated methods for water resource management help to organize sustainable growth by assessing how water is handled in agriculture, urban applications, and the surrounding ecosystems. Doi: 10.28991/CEJ-2022-08-02-08 Full Text: PDF
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.