Abstract

The Naseri Artificial Wetland was created by the discharge of agricultural drainage water, including effluent from the sugarcane development project. The continuous inflow of drainage water from the sugarcane development units has altered the natural regime of the wetland. Considering the high probability of herbicides entering agricultural runoff, this study was conducted to identify atrazine and to assess the health risks of it in this wetland. Sixty water samples from the wetland and 15 samples from the drainage channel were collected in three seasons: June (summer), October (Autumn), and February(winter). Variables such as electrical conductivity, dissolved oxygen, temperature, and pH were also monitored at the sampling points. The average measured ATZ concentration in NAW was lowest in June (0.015 mg/L) and was 0.021 mg/L in October and 0.024 mg/L in February. The average ATZ concentration in the drainage channel in June, October, and February was 0.03, 0.04, and 0.05 mg/L, respectively. The average electrical conductivity and pH in June and October were 29,900 µS/cm, 28,544 µS/cm and 7.29 and 7.28, respectively. The maximum and minimum values ​​of temperature were 30.7 °C in June and 8.6 in February. The health risk for children and adults, based on the HQ index, was calculated to be 0.12 and 0.014, respectively. Additionally, the carcinogenic risk, based on the ILCR index, was calculated to be 2.7E-2 and 3.2E-3, respectively, which indicates the risk of carcinogenic. The online version contains supplementary material available at 10.1007/s40201-025-00955-z.

Keywords

Bayesian information criterionAutoregressive modelBayesian probabilityMathematicsMaximum likelihoodFactor (programming language)StatisticsInformation CriteriaEconometricsApplied mathematicsComputer scienceModel selection

Affiliated Institutions

Related Publications

Publication Info

Year
1987
Type
book-chapter
Pages
371-386
Citations
4043
Access
Closed

Social Impact

Altmetric
PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

4043
OpenAlex
579
Influential
257
CrossRef

Cite This

Hirotugu Akaike (1987). Factor Analysis and AIC. Springer series in statistics , 371-386. https://doi.org/10.1007/978-1-4612-1694-0_29

Identifiers

DOI
10.1007/978-1-4612-1694-0_29
PMID
40895350
PMCID
PMC12394113

Data Quality

Data completeness: 77%