Found 10202 publications. Showing page 2 of 409:
2025
Evaluating the Combined Effect of Land and Marine CDR
With the global annual mean temperature in 2024 exceeding 1.5°C above preindustrial levels, the world faces increasing risks from climate impacts. Achieving the long-term temperature goals of the Paris Agreement will require not only deep emission reductions but likely also large-scale deployment of carbon dioxide removal (CDR). However, major uncertainties remain regarding the Earth system’s response to CDR, its efficacy under overshoot conditions, and the potential of CDR to reverse warming beyond net-zero emissions.
Here, we use emission-driven simulations with activity-driven implementation of CDR in the Norwegian Earth System Model (NorESM2-LM) to assess the carbon sequestration efficacy and climate response of two CDR methods, Bioenergy with Carbon Capture and Storage (BECCS) and Ocean Alkalinity Enhancement (OAE), deployed individually and in combination. Our scenarios follow a high-overshoot trajectory (SSP5-3.4-OS) combined with ramped-up deployment of CDR. Additional CDR amounted to 5.2 million km² of bioenergy feedstock for BECCS in addition to the BECCS already present in the SSP5-3.4-OS and a CaO deployment rate of 2.7 Gt/year for OAE, derived from life cycle analysis. OAE is applied across the exclusive economic zones of Europe, the United States, and China. BECCS alone accounts for a 16 ppm reduction using 5.2 million km² of bioenergy crops, while OAE contributes 7 ppm reduction with a cumulative addition of 82.3 Gt of CaO, yielding a CDR effectiveness of 0.08 ppm per Gt of CaO. During the overshoot phase (2050–2060), the combined simulation shows a gross atmospheric CO₂ reduction of 2-4 ppm, increasing to a reduction of 23 ppm by 2100, indicating nearly additive contributions from the two methods.
Despite the substantial CO₂ drawdown and a net reduction of anthropogenic emissions by 5.4 GtCO₂/year by 2100 through additional CDR, the global temperature response remains modest and indistinguishable from internal variability. This highlights the importance of designing robust, scalable CDR portfolios along with ambitious emission cuts. Our results also call for better integration of CDR pathways into IAMs scenarios so that we can have them in ESMs to fully capture biogeophysical feedback and Earth system constraints in overshoot scenarios.
2025
Towards Net Zero: Evaluating Combined Terrestrial and Marine CDR Approaches
With the global annual mean temperature in 2024 exceeding 1.5°C above preindustrial levels, there is an urgent need to investigate pathways for returning the Earth system to lower temperature levels. In addition to stringent emission reduction, we need portfolios of Carbon Dioxide Removal (CDR) techniques to achieve the net-zero emission target. Therefore, it is crucial to evaluate various land and ocean-based CDRs for their effectiveness, environmental risks, and additional benefits.
This study evaluates the CO₂ sequestration potential and efficacy of two prominent CDR methods—Bioenergy with Carbon Capture and Storage (BECCS) and Ocean Alkalinity Enhancement (OAE)—applied both individually and in combination. Using the Norwegian Earth System Model (NorESM2-LM), simulations were designed with ramped-up CDR deployment, targeting 5.2 million km² of bioenergy feedstock for BECCS and a CaO deployment rate of 2.7 Gt/year for OAE by 2100 across the exclusive economic zones of Europe, the United States, and China. The results reveal a nearly additive carbon removal effect of BECCS and OAE. Over the period 2030-2100, OAE sequestered a total of 7 ppm of CO2 with an accumulated 82.3 Gt CaO, achieving a CDR effectiveness of 0.08 ppm per Gt of CaO, while BECCS removes 23 ppm of CO2, with CDR effectiveness of 3.1 ppm per million km² of bioenergy crops. The combined BECCS-OAE simulation offsets anthropogenic CO₂ emissions of 5.4 Gt/year by 2100—equivalent to over 60% of current global transport sector emissions. However, the combined CDR scenario shows negligible effects on the global annual mean temperature, with no clear response detectable against the high internal variability. This underscores the limitations of current CDR approaches in addressing climate warming over the 21st century and emphasizes the need for substantial emissions reductions, supportive policies and diversified CDR strategies to facilitate a return to lower global temperatures.
2025
Circulating MicroRNAs in Cord Blood to Predict Attention-Deficit/Hyperactivity Disorder Diagnosis
Background
There are large knowledge gaps in the etiology of attention-deficit/hyperactivity disorder (ADHD), and although it is a prevalent and highly heritable neurodevelopmental disorder, diagnosis can be challenging. We aimed to assess the association of circulating blood plasma microRNAs (miRNAs) at birth with ADHD for use as biomarker candidates and build an miRNA-based prediction model.
Methods
Our study population consisted of 206 children with ADHD (33.0% female), 207 control children (33.8% female), and their parents from the MoBa (Norwegian Mother, Father, and Child Cohort Study). Expression levels of 51 selected miRNAs in plasma from children’s cord blood at birth and from both parents during early pregnancy were quantified by quantitative polymerase chain reaction and tested for association with children’s ADHD diagnosis and ADHD symptom scores based on ratings by parents.
Results
Seven miRNAs were differentially expressed at birth in children with ADHD and control children (false discovery rate < .05), and 31 had a statistically significant linear relationship with parent-rated ADHD symptom score at 8 years. A 19-miRNA ADHD prediction model achieved good discrimination in the test population (area under the receiver operating curve = 0.959, accuracy = 0.893). Functional analysis for the 19-miRNA prediction set revealed involvement in several highly relevant pathways, e.g., dopaminergic synapse, circadian rhythm, and axon guidance. We also found that parental miRNA expression levels significantly associated with children’s ADHD diagnoses and/or ADHD symptoms scores.
Conclusions
We showed that expression levels of circulating miRNAs at birth may be used to predict increased risk of ADHD diagnosis, and our 19-miRNA set should be included in future efforts to develop a biomarker panel.
2025
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
2025
NILU og Akvaplan-niva har et felles overvåkingsprosjekt rundt Hammerfest LNG på Melkøya. I perioden 2025 – 2028 skal overvåkingen omfatte bly (Pb), kvikksølv (Hg) og PAH i nedbør, vegetasjon, jord, ferskvann, ferskvannsfisk og ferskvannssediment, samt kvikksølv i luft. For de fleste komponenter og prøvemedier er verdiene lave.
NILU
2025
2025
2025
Congener group profiles of MCCPs in environmental samples from Norwegian monitoring programmes, 2025
2025
2025
2025