Found 10000 publications. Showing page 67 of 400:
Denne rapporten beskriver en studie utført av NILU for Nordre Follo kommune, med støtte fra Folkehelseinstituttet. Målet var å prøve uhildet kartlegging som metode for å undersøke hvilke organisk-kjemiske forbindelser som finnes i nedbørfeltet til drikkevannskilden Gjersjøen. Som del av dette ønsket vi også å identifisere forbindelser som forårsaker feilaktige, store utslag i nitratsensorer. Ved bruk av høyoppløselig massespektrometri og miljøforensiske metoder ble 163 markører identifisert, inkludert aspirin, kreatin og kreatinin, knyttet til kloakkforurensning under kraftig nedbør. Funnene gir innsikt i kjemisk interferens og kan forbedre overvåkingssystemer og vannforvaltning.
NILU
2025
2019
2024
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Building-related symptoms in school environment: Predictability using machine learning approach
Building-related symptoms (BRS) are commonly experienced by students in schools and are potentially affecting academic performance and health. Even though indoor environment quality (IEQ) measurements indicated fair conditions, students still perceived discomfort that led to symptoms, highlighting the necessity of collecting user-feedback about IEQ-complaints. This study aimed to predict and understand the prevalence of BRS (headache, tiredness, cough, dry eyes-hands) experienced by students in classrooms using machine-learning (ML) approach based on measurement data, building factors, and prevalence of IEQ-complaints. We collected measurement data (from indoor and outdoor climate), building factors, and user-feedback by students via online-platform across three sampled classrooms each campaign during three consecutive school semesters. Significant input variables for ML were pre-selected using statistical tests. ML models were evaluated based on accuracy metrics and SHAP analysis for input interpretation. Models using measurement data alone performed poorly (testing R² <50 %) to predict prevalence of BRS, whereas adding building factors and prevalence of IEQ-complaints increased accuracy (R² up to 95 %) of prediction of BRS with lower RMSE. In addition, interpretation from SHAP analysis showed IEQ-complaints especially related with indoor air quality (e.g., heavy air, dust & dirt, and dry air) as significant contributors for predicting prevalence of BRS. We conclude that the framework of combining objective measurements with occupant-reported complaints can be reliable, interpretable predictions of symptom prevalence. This study is limited by single-school setting, health confounders, and symptoms verification. Future research may contribute to exploring wider set of input variables, applicability, and variation of complaints preference.
2025
Burforsøk med torsk i Frierfjorden og Breviksfjorden - akkumulering av PCDF/D i fisk og SPMD, biologiske effekter samt betydning av akkumulering fra vann i forhold til via føde. NIVA-Rapport, 4794-2004
2004
2026
2025
2013
2013
Estimates of past emission inventories suggest that toxic heavy metal pollution in Europe was highest in the mid‐1970s for lead and in the mid‐1960s for cadmium, but these previous estimates have not been compared to observations. Here, alpine ice‐cores were used to document cadmium and lead pollution in western Europe between 1890 and 2000. The ice‐core trends show that while lead pollution largely from leaded gasoline reached a maximum in ~1975 as expected, cadmium pollution primarily from zinc smelters peaked in the early‐1980s rather than in ~1965 and was up to fourfold higher than estimated after 1975. Comparisons between ice‐core trends, estimated past emissions, and state‐of‐the‐art atmospheric aerosol transport and deposition modeling suggest that the estimated decreases in cadmium emissions after 1970 were based on overly optimistic emissions reductions from the introduction of pollution control devices and other technological improvements.
2020
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