FN Archimer Export Format
PT J
TI Linking Multivariate Statistical Methods and Water Quality Indices to Evaluate the Natural and Anthropogenic Geochemical Processes Controlling the Water Quality of a Tropical Watershed
BT 
AF Morais da Silva, Débora Francisca
   Lopes Silva, Letícia Mariana
   Garnier, Jeremie
   FERREIRA ARAUJO, Daniel
   Amorim da Silva, Lidiane
   Santos Mulholland, Daniel
AS 1:1;2:1;3:2;4:3;5:1;6:1;
FF 1:;2:;3:;4:PDG-RBE-CCEM;5:;6:;
C1 Universidade Federal de Tocantins, Brazil
   Universidade de Brasília, Brazil
   Ifremer, CCEM-Contamination Chimique des Ecosystèmes Marins, France
C2 UNIV FED TOCANTINS, BRAZIL
   UNIV BRASILIA, BRAZIL
   IFREMER, FRANCE
SI NANTES
SE PDG-RBE-CCEM
IN WOS Ifremer UPR
   copubli-int-hors-europe
   copubli-sud
IF 3
TC 2
UR https://archimer.ifremer.fr/doc/00828/93990/100823.pdf
   https://archimer.ifremer.fr/doc/00828/93990/100824.docx
   https://archimer.ifremer.fr/doc/00828/93990/105040.pdf
LA English
DT Article
DE ;Water monitoring;Formoso river;Water geochemistry;Contamination
AB The improvement of water management requires monitoring techniques that accurately evaluate water quality status and detect the effects of land use changes on water chemistry. This study aimed to evaluate how multivariate statistical methods and water quality indices can be applied together to evaluate the processes controlling water chemical composition and the overall water quality status of a tropical watershed. Thirty-four water samples were collected in the Formoso River basin, located on the border of the Amazon Forest. Water parameters were measured in situ using a multiparameter and in the lab using spectroscopic and volumetric techniques. The water quality dataset was interpreted through principal component analysis, multivariate linear regression, and water quality indices. Statistical methods allowed us to identify the sources and geochemical processes controlling water quality chemistry, which were carbonate dissolution, runoff/erosion, nutrient input due to anthropogenic activities and redox reactions in flooded zones. They were also used to create linear functions to evaluate the effects of land use changes on the geochemical processes controlling water chemistry. Conversely, the water quality indices provide information about the overall condition of the water. The Weight-Arithmetic Quality Index correctly evaluates water suitability for its multiple uses, according to the Brazilian guidelines. Conversely, the Ontario Water Quality Index is not suitable to evaluate the water quality of tropical rivers, since the usual higher water temperature and the low oxygen contents associated with tropical environments result in biased water quality evaluations by this index. 
PY 2023
PD OCT
SO Environmental Monitoring And Assessment
SN 0167-6369
PU Springer
VL 195
IS 10
UT 001076251600003
DI 10.1007/s10661-023-11889-0
ID 93990
ER

EF