Geostatistical and multi-criteria decision-making models to subsidize a quantitative monitoring network of aquifers intensively used for irrigated agriculture: the case of Urucuia Aquifer System, Brazil.

Leão BRC, da Silva Junior GC, Marques EAG

Open source

DOI
10.1007/s10661-026-15324-y
Published
2026 Apr 29
Container
Environmental monitoring and assessment
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1007/s10661-026-15324-y,
  title = {Geostatistical and multi-criteria decision-making models to subsidize a quantitative monitoring network of aquifers intensively used for irrigated agriculture: the case of Urucuia Aquifer System, Brazil.},
  author = {Leão BRC and da Silva Junior GC and Marques EAG},
  year = {2026},
  journal = {Environmental monitoring and assessment},
  doi = {10.1007/s10661-026-15324-y},
  url = {https://doi.org/10.1007/s10661-026-15324-y}
}

RIS

TY  - JOUR
TI  - Geostatistical and multi-criteria decision-making models to subsidize a quantitative monitoring network of aquifers intensively used for irrigated agriculture: the case of Urucuia Aquifer System, Brazil.
AU  - Leão BRC
AU  - da Silva Junior GC
AU  - Marques EAG
PY  - 2026
JO  - Environmental monitoring and assessment
DO  - 10.1007/s10661-026-15324-y
UR  - https://doi.org/10.1007/s10661-026-15324-y
ER  - 

APA

BRC, L., GC, D. S. J., & EAG, M. (2026). Geostatistical and multi-criteria decision-making models to subsidize a quantitative monitoring network of aquifers intensively used for irrigated agriculture: the case of Urucuia Aquifer System, Brazil.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-026-15324-y

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