Mapping land limitations for agricultural land use planning using fuzzy logic approach: a case study for Marinduque Island, Philippines

Salvacion, Arnold R.

doi:10.1007/s10708-019-10103-4

Cited by 18 publications

(12 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Coordinates of every sampling point were recorded and plotted using Geographic Information Systems as shown in Figure 1. Generally, the land use of the sampling points from the island province is mainly agricultural [39,40].…”

Section: Study Area and Collection Of Samplesmentioning

confidence: 99%

Health Risks Due to Metal Concentrations in Soil and Vegetables from the Six Municipalities of the Island Province in the Philippines

Nolos

Agarin

Domino

et al. 2022

IJERPH

View full text Add to dashboard Cite

This paper investigated the health risks due to metal concentrations in soil and vegetables from the island province in the Philippines and the potential ecological risks. The concentrations of Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn in vegetables and soil in six municipalities of the province were analyzed using the Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) Perkin Elmer Optima 8000. It was recorded that all metal concentrations in the soil, except for Cd, exceeded the soil quality standard (SQS). The concentration of Fe and Mn was highest among other metals. The Nemerow synthetical pollution index (Pn) in all soil samples was under Class V which means severe pollution level. Likewise, the risk index (RI) of soil ranged from high to very high pollution risk. Most of the metal concentrations in the vegetables analyzed also exceeded the maximum permissible limit (MPL). All health hazard indices (HHIs) were less than 1, which means potential low non-carcinogenic risk to human population by vegetable consumption. However, it was found that concentration of Cr and Ni in vegetables is a potential health hazard having concentrations exceeding the maximum threshold limit. A 75% temporary consumption reduction of bitter melon, eggplant, sweet potato tops, and string beans produced from two municipalities may be helpful in reducing exposure to target metals. Additional studies are needed to confirm this recommendation. Spatial correlation analysis showed that six out of target metals had datasets that were more spatially clustered than would be expected. The recorded data are useful for creation of research direction, and aid in developing strategies for remediation, tools, and programs for improving environmental and vegetable quality monitoring.

show abstract

Section: Study Area and Collection Of Samplesmentioning

confidence: 99%

Health Risks Due to Metal Concentrations in Soil and Vegetables from the Six Municipalities of the Island Province in the Philippines

Nolos

Agarin

Domino

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…The model used in this paper advances over those found in the literature as it includes additional features such as minimizing transfers between points since we only considered one vehicle for the tour. We also placed emphasis on the different experiences that a tourist can General [2,4,6], [19,20,21,23], [11,12,13,14,15,16] 12 11…”

Section: Discussionmentioning

confidence: 99%

“…Marinduque is an island province that is considered as the heart of the Philippines due to its geometric shape and geographic location [17,18]. The province is around 200 km south of the country's capital, Manila, and has a total land area of about 952 square kilometers [19][20][21]. The terrain of Marinduque is predominantly rolling to moderately steep with a mountainous region in the inner portion, and low-lying coastal in the outer part [22].…”

Section: Introductionmentioning

confidence: 99%

Optimal route planning for day tours in Marinduque, Philippines

et al. 2021

Self Cite

View full text Add to dashboard Cite

Island day tours have become a ubiquitous inclusion in travel itineraries. Marinduque is one of the Philippine islands where its major tourist attractions can be covered by day tours. This study determines an itinerary of select tourist spots for island day tours in Marinduque. The longitude, latitude of each tourist spot and the pairwise road distances were determined. Every tour was assumed to start and end at the same point, either at Marinduque Airport or at Balanacan Port, and would last for at most 8 h. To determine the optimal route for the different types of tours (general and themed), an integer programming model was formulated. Balanacan port is the point of origin for three of the four identified tours. The general tour is the ideal choice for those who want to maximize theme diversity. The history-themed and church-themed tours are covered in at least three of the four tours. All tours ran from 7.5 to 8 h. All themed-tours covered their themed points except for the cave-themed. All points except one were visited in at least one tour. Three of the four pilgrim points were visited in all tours, while the cave sites were only visited in the cave-themed tour. The results of this study are beneficial to the community of Marinduque, as these will contribute to the tourism management plan of the province. The model may be extended to consider other tourist destinations.

show abstract

“…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]. The annual rainfall in the province of Marinduque range from 1700 to 2500 mm [58].…”

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

View full text Add to dashboard Cite

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.

show abstract

Mapping land limitations for agricultural land use planning using fuzzy logic approach: a case study for Marinduque Island, Philippines

Cited by 18 publications

References 39 publications

Health Risks Due to Metal Concentrations in Soil and Vegetables from the Six Municipalities of the Island Province in the Philippines

Health Risks Due to Metal Concentrations in Soil and Vegetables from the Six Municipalities of the Island Province in the Philippines

Optimal route planning for day tours in Marinduque, Philippines

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

Contact Info

Product

Resources

About