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Details

Autor(en) / Beteiligte
Titel
Assessing groundwater potential for mitigating salinity issues in agricultural areas of southern Dong Nai province, Vietnam
Ist Teil von
  • Groundwater for sustainable development, 2024-05, Vol.25, p.101177, Article 101177
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2024
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Excessive agricultural water use poses significant challenges, including contamination, soil subsidence, and groundwater depletion. Salt accumulation exacerbated by drought further complicates sustainable agricultural practices. In the context of global climate change, the Dong Nai region in southern Vietnam faces severe drought and saltwater intrusion, underscoring the need to assess Groundwater Potential (GWP). This study collected 69 soil samples to evaluate salt levels and used 48 samples to analyze the correlation between satellite imagery and electrical conductivity. The Artificial Bee Colony (ABC) - Adaptive Neuro-Fuzzy Inference System (ANFIS) hybrid model was employed with radar data. It found that salinity levels decrease from coastal to inland areas in southern Vietnam, being the highest in mangrove and agriculture regions. The ABC-ANFIS model achieved an R2test value of 0.821 and an accuracy of 84.325% within an Electrical Conductivity (EC) range of 0.2–26.86 dSm−1. The GWP index assists in identifying areas with favorable water potential. The results offer valuable for decision-makers, scientists, engineers, and farmers to effectively manage soil salinity and drought impacts for groundwater sustainable utilization. [Display omitted] •Drought and saltwater intrusion are the two primary factors limiting agricultural productivity.•The higher the drought index values correspond to performs lower salinity values.•Sentinel-2 and Sentinel-1 achieve high performance in determining groundwater potential.•GWP was at moderate (0.020–0.025 MCM/km2) to excellent (>0.030 MCM/km2) levels.•GWP mainly focuses on areas with low drainage density and modern alluvial deposition.
Sprache
Englisch
Identifikatoren
ISSN: 2352-801X
eISSN: 2352-801X
DOI: 10.1016/j.gsd.2024.101177
Titel-ID: cdi_elsevier_sciencedirect_doi_10_1016_j_gsd_2024_101177

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