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• W4312302553 abstract "Groundwater potential analysis has become an important resource as anthropogenic activities continue to change the global environmental landscape. This chapter used fuzzy logic to determine groundwater potential in Marinduque using publicly available data. We considered six variables, namely, annual rainfall, distance to river, drainage density, elevation, slope, and topographic wetness index. Results show that the groundwater potential is moderate to high everywhere if annual rainfall alone is considered. On the other hand, varying distribution of groundwater potential was observed when the other topographic variables were considered. Meanwhile, the average and weighted maps closely resembled the gradient shown in the maps for elevation and slope, with most of the island having groundwater potential ranging from low to high. The performance metrics imply that among the seven aggregation functions, the weighted aggregator gave the best groundwater potential map for the island with the highest two weights assigned to elevation and slope. This means that the island has high to very high groundwater potential along the shores and has generally low to high potential elsewhere. The general framework developed in this chapter may be adapted to assess groundwater potential in other locales and settings." @default.
• W4312302553 created "2023-01-04" @default.
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• W4312302553 date "2022-01-01" @default.
• W4312302553 modified "2023-10-14" @default.
• W4312302553 title "Fuzzy logic modeling of groundwater potential in Marinduque, Philippines" @default.
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• W4312302553 doi "https://doi.org/10.1016/b978-0-323-91910-4.00004-2" @default.
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