Hydropower Dam Site Selection and Visualization Using Gis and Rs Techniques: A Case of Marinduque, Philippines

Fesalbon, R. M. A.; Blanco, A. C.

doi:10.5194/isprs-archives-xlii-4-w19-207-2019

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…The province's topography is mostly mountainous, with continuous and severe slope areas. Considering the province's overall land area, 77 percent, or 737.2 square kilometers, is classified as alienable land, while the remaining 23 percent, or 222.05 square kilometers, is classified as forest land [56]. The island province has a Climate Type III climate, with the dry season lasting from November to April and the wet season covering the rest of the year [57].…”

Section: The Area Of Studymentioning

confidence: 99%

A Hybrid Neural Network–Particle Swarm Optimization Informed Spatial Interpolation Technique for Groundwater Quality Mapping in a Small Island Province of the Philippines

Jesus

Senoro

Cruz

et al. 2021

Toxics

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Water quality monitoring demands the use of spatial interpolation techniques due to on-ground challenges. The implementation of various spatial interpolation methods results in significant variations from the true spatial distribution of water quality in a specific location. The aim of this research is to improve mapping prediction capabilities of spatial interpolation algorithms by using a neural network with the particle swarm optimization (NN-PSO) technique. Hybrid interpolation approaches were evaluated and compared by cross-validation using mean absolute error (MAE) and Pearson's correlation coefficient (R). The governing interpolation techniques for the physicochemical parameters of groundwater (GW) and heavy metal concentrations were the geostatistical approaches combined with NN-PSO. The best methods for physicochemical characteristics and heavy metal concentrations were observed to have the least MAE and R values, ranging from 1.7 to 4.3 times and 1.2 to 5.6 times higher than the interpolation technique without the NN-PSO for the dry and wet season, respectively. The hybrid interpolation methods exhibit an improved performance as compared to the non-hybrid methods. The application of NN-PSO technique to spatial interpolation methods was found to be a promising approach for improving the accuracy of spatial maps for GW quality.

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Section: The Area Of Studymentioning

confidence: 99%

A Hybrid Neural Network–Particle Swarm Optimization Informed Spatial Interpolation Technique for Groundwater Quality Mapping in a Small Island Province of the Philippines

Jesus

Senoro

Cruz

et al. 2021

Toxics

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“…Ajibade et al 2020 used the fuzzy logic approach with rainfall, soil, run-off, geology, stream order, and land use land cover to identify potential dam sites in Imo state. Other studies include Yi et al 2010;Fesalbon & Blanco 2019;Lalhmingliana & Saha, 2016;Ahmad & Verma 2018;Adham et al 2018. The results of these studies were maps showing the suitability index derived from the aggregation of different parameters.…”

Section: Introductionmentioning

confidence: 99%

Small hydropower dam site suitability modelling in upper Benue river watershed, Nigeria

et al. 2021

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Small hydropower (SHP) is one of the most critical renewable energy that is well adapted to the rural localities in less developed countries across the world. Most rural communities in Nigeria are off the national power grid and are bedevilled by an inconsistent supply of electricity. The one possible panacea to the rural energy crisis is harnessing the terrain and abundant rivers and streams within their domain. This study aimed to identify and select suitable sites for the SHP dam in the upper Benue river watershed. Ten thematic layers, land use, precipitation, geology, soil, slope, elevation, stream power index, topographic wetness index, drainage density, and flow, were integrated with Geographic information system and Analytical hierarchy process. A composite suitability map created revealed that 7.5% of the watershed is of a very high suitable class, while 17.5% of the watershed is of a very low suitable class. To select an ideal location, a semi-automatic approach was developed to identify narrow valleys by intersecting contour with stream order and the suitability layer. Eighteen (18) potential dam sites were identified after a query operation was done. The developed method was validated using field data which were correlated with the model output using t-Test; paired two samples for the mean. A strong Pearson correlation of 0.71 between the field data and the semi-automatic approach was observed. The approach offers good prospects for dam site selection. Based on a field survey, the potential dam sites are feasible economically and technically for SHP dam construction that will provide cheap renewable energy to millions of inhabitants in the watershed.

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“… ISSN: 2302-9285 Remote sensing and geographical information systems, with the development of satellite technologies, becomes possible to assess rapid and economic solutions for hydrology mapping, to determine a practical rainfall-runoff relation, water flow, particularly poorly gauged or ungauged basins [14], [17]- [28]. Remote sensing data is also useful for geological mapping.…”

Section: Introductionmentioning

confidence: 99%

Micro hydropower plant potential study based on Landsat 8 operational land imager satellite data

et al. 2021

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Remote sensing technology has been widely applied in various fields, including oil, gas, and mineral exploration, spatial planning, and environmental monitoring. This paper describes the application of remote sensing technology for the potential study of a renewable micro hydropower plant (MHP) using Landsat 8 satellite data. The Sukaati Watershed, West Java, Indonesia, was selected as the case study area. Landsat 8 satellite data, acquired on August 21, 2020, was applied to extract information on land use, geology, and potential landslides. Drainage patterns, watershed boundaries, and head height were obtained from topographic map data. Drainage patterns, watershed boundaries, and land use are used to calculate flow rates. Geological map and landslide are the basis of layout of MHP components, such as water intake, dam, waterway, settling tank, penstock, and powerhouse. A field survey to acquire actual flow rate and head height was conducted to validate the results of the remote sensing data interpretation. Two potential sites of MHP were selected with a hydropower design of 129 kW and 5.18 MW. This study showed that remote sensing technology is beneficial for studying the potential of MHP because fieldwork can be done more quickly and efficiently.

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Hydropower Dam Site Selection and Visualization Using Gis and Rs Techniques: A Case of Marinduque, Philippines

Cited by 3 publications

References 7 publications

A Hybrid Neural Network–Particle Swarm Optimization Informed Spatial Interpolation Technique for Groundwater Quality Mapping in a Small Island Province of the Philippines

A Hybrid Neural Network–Particle Swarm Optimization Informed Spatial Interpolation Technique for Groundwater Quality Mapping in a Small Island Province of the Philippines

Small hydropower dam site suitability modelling in upper Benue river watershed, Nigeria

Micro hydropower plant potential study based on Landsat 8 operational land imager satellite data

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