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Bastviken, David, ProfessorORCID iD iconorcid.org/0000-0003-0038-2152
Alternative names
Publications (10 of 123) Show all publications
Domènech-Gil, G., Nguyen, T. D., Wikner, J. J., Eriksson, J., Puglisi, D. & Bastviken, D. (2024). Efficient Methane Monitoring with Low-Cost Chemical Sensorsand Machine Learning. In: : . Paper presented at EUROSENSORS XXXV, Lecce, Italy, 10–13 September, 2023 (pp. 79-81). MDPI, 97
Open this publication in new window or tab >>Efficient Methane Monitoring with Low-Cost Chemical Sensorsand Machine Learning
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2024 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present a method to monitor methane at atmospheric concentrations with errors inthe order of tens of parts per billion. We use machine learning techniques and periodic calibrationswith reference equipment to quantify methane from the readings of an electronic nose. The resultsobtained demonstrate versatile and robust solution that outputs adequate concentrations in a varietyof different cases studied, including indoor and outdoor environments with emissions arising fromnatural or anthropogenic sources. Our strategy opens the path to a wide-spread use of low-costsensor system networks for greenhouse gas monitoring.

Place, publisher, year, edition, pages
MDPI, 2024
National Category
Remote Sensing
Identifiers
urn:nbn:se:liu:diva-202213 (URN)10.3390/proceedings2024097079 (DOI)
Conference
EUROSENSORS XXXV, Lecce, Italy, 10–13 September, 2023
Available from: 2024-04-07 Created: 2024-04-07 Last updated: 2024-04-18Bibliographically approved
Domènech-Gil, G., Nguyen, T. D., Wikner, J., Eriksson, J., Nilsson Påledal, S., Puglisi, D. & Bastviken, D. (2024). Electronic Nose for Improved Environmental Methane Monitoring. Environmental Science and Technology, 58, 352-361
Open this publication in new window or tab >>Electronic Nose for Improved Environmental Methane Monitoring
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2024 (English)In: Environmental Science and Technology, ISSN 0013-936X, E-ISSN 1520-5851, Vol. 58, p. 352-361Article in journal (Refereed) Published
Abstract [en]

Reducing emissions of the key greenhouse gas methane (CH4) is increasingly highlighted as being important to mitigate climate change. Effective emission reductions require cost-effective ways to measure CH4 to detect sources and verify that mitigation efforts work. We present here a novel approach to measure methane at atmospheric concentrations by means of a low-cost electronic nose strategy where the readings of a few sensors are combined, leading to errors down to 33 ppb and coefficients of determination, R-2, up to 0.91 for in situ measurements. Data from methane, temperature, humidity, and atmospheric pressure sensors were used in customized machine learning models to account for environmental cross-effects and quantify methane in the ppm-ppb range both in indoor and outdoor conditions. The electronic nose strategy was confirmed to be versatile with improved accuracy when more reference data were supplied to the quantification model. Our results pave the way toward the use of networks of low-cost sensor systems for the monitoring of greenhouse gases.

Place, publisher, year, edition, pages
AMER CHEMICAL SOC, 2024
Keywords
greenhouse gas; machine learning; gas sensors; low-cost
National Category
Environmental Engineering Earth and Related Environmental Sciences Signal Processing
Identifiers
urn:nbn:se:liu:diva-200180 (URN)10.1021/acs.est.3c06945 (DOI)001139523100001 ()38126254 (PubMedID)
Note

Funding: Swedish Research Council FORMAS [2018-01794]; Swedish Research Council (Vetenskapsradet) [2016-04829, 2022-03841, 2021-0016, 725546]; European Research Council under the European Union [2017-00635]; Swedish Infrastructure for Ecosystem Science (SITES); Program SITES Water

Available from: 2024-01-12 Created: 2024-01-12 Last updated: 2024-01-24
Svensson, T., Löfgren, A., Saetre, P., Kautsky, U. & Bastviken, D. (2023). Chlorine Distribution in Soil and Vegetation in Boreal Habitats along a Moisture Gradient from Upland Forest to Lake Margin Wetlands. Environmental Science and Technology, 57(30), 11067-11074
Open this publication in new window or tab >>Chlorine Distribution in Soil and Vegetation in Boreal Habitats along a Moisture Gradient from Upland Forest to Lake Margin Wetlands
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2023 (English)In: Environmental Science and Technology, ISSN 0013-936X, E-ISSN 1520-5851, Vol. 57, no 30, p. 11067-11074Article in journal (Refereed) Published
Abstract [en]

The assumed dominance of chloride (Cl–) in terrestrial ecosystems is challenged by observations of extensive formation of organically bound Cl (Clorg), resulting in large soil Cl storage and internal cycling. Yet, little is known about the spatial distribution of Cl in ecosystems. We quantified patterns of Cl distribution in different habitats along a boreal hillslope moisture gradient ranging from relatively dry upland coniferous forests to wet discharge areas dominated by alder. We confirmed that dry habitats are important for Cl storage but found that Cl pools tended to be larger in moist and wet habitats. The storage of Clorg was less important in wet habitats, suggesting a shift in the balance between soil chlorination and dechlorination rates. Cl concentrations in the herb layer vegetation were high in wet and moist sites attributed to a shift in plant species composition, indicating plant community-dependent ecosystem Cl cycling. Mass-balance calculations showed that internal Cl cycling increased overall ecosystem Cl residence times at all sites and that plant uptake rates of Cl– were particularly high at wet sites. Our results indicate that habitat characteristics including plant communities and hydrology are key for understanding Cl cycling in the environment.

Place, publisher, year, edition, pages
AMER CHEMICAL SOC, 2023
Keywords
chloride retention, discharge area, Clorg, chlorination, residence time, vegetation, ecosystem, Cl-36, klorid, retention, klorering, vegetation, klor-36
National Category
Forest Science Soil Science Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-196443 (URN)10.1021/acs.est.2c09571 (DOI)001030134400001 ()37469326 (PubMedID)
Funder
Swedish Research Council, 2021-05463_VRSwedish Nuclear Fuel and Waste Management Company, SKB
Available from: 2023-08-04 Created: 2023-08-04 Last updated: 2023-08-30
Sieczko, A. K., Schenk, J., Rudberg, D., Nguyen, T. D., Pajala, G., Sawakuchi, H. & Bastviken, D. (2023). Data set associated with the manuscript submitted to Science of the Total Environment by Sieczko et.al 2023. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Data set associated with the manuscript submitted to Science of the Total Environment by Sieczko et.al 2023
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2023 (English)Data set
Place, publisher, year
Linköping: Linköping University Electronic Press, 2023
National Category
Natural Sciences
Identifiers
urn:nbn:se:liu:diva-192396 (URN)10.48360/y2xn-1g08 (DOI)
Available from: 2023-03-14 Created: 2023-03-14 Last updated: 2023-04-20Bibliographically approved
Karlson, M. & Bastviken, D. (2023). Multi‐Source Mapping of Peatland Types Using Sentinel‐1, Sentinel‐2, and Terrain Derivatives—A Comparison Between Five High‐Latitude Landscapes. Journal of Geophysical Research - Biogeosciences, 128(4), Article ID e2022JG007195.
Open this publication in new window or tab >>Multi‐Source Mapping of Peatland Types Using Sentinel‐1, Sentinel‐2, and Terrain Derivatives—A Comparison Between Five High‐Latitude Landscapes
2023 (English)In: Journal of Geophysical Research - Biogeosciences, ISSN 2169-8953, E-ISSN 2169-8961, Vol. 128, no 4, article id e2022JG007195Article in journal (Refereed) Published
Abstract [en]

Mapping wetland types in northern-latitude regions with Earth Observation (EO) data is important for several practical and scientific applications, but at the same time challenging due to the variability and dynamic nature in wetland features introduced by differences in geophysical conditions. The objective of this study was to better understand the ability of Sentinel-1 radar data, Sentinel-2 optical data and terrain derivatives derived from Copernicus digital elevation model to distinguish three main peatland types, two upland classes, and surface water, in five contrasting landscapes located in the northern parts of Alaska, Canada and Scandinavia. The study also investigated the potential benefits for classification accuracy of using regional classification models constructed from region-specific training data compared to a global classification model based on pooled reference data from all five sites. Overall, the results show high promise for classifying peatland types and the three other land cover classes using the fusion approach that combined all three EO data sources (Sentinel-1, Sentinel-2 and terrain derivatives). Overall accuracy for the individual sites ranged between 79.7% and 90.3%. Class specific accuracies for the peatland types were also high overall but differed between the five sites as well as between the three classes bog, fen and swamp. A key finding is that regional classification models consistently outperformed the global classification model by producing significantly higher classification accuracies for all five sites. This suggests for progress in identifying effective approaches for continental scale peatland mapping to improve scaling of for example, hydrological- and greenhouse gas-related processes in Earth system models.

Place, publisher, year, edition, pages
John Wiley & Sons, 2023
Keywords
peatland types; land cover classification; data fusion; arctic; northern latitude regions; terrain derivatives
National Category
Geosciences, Multidisciplinary Remote Sensing Physical Geography
Identifiers
urn:nbn:se:liu:diva-193214 (URN)10.1029/2022jg007195 (DOI)000972246100001 ()
Note

Funding: Swedish Research Council Formas [2017-01944, 2018-01794, 2018-00570]; European Space Agency

Available from: 2023-04-21 Created: 2023-04-21 Last updated: 2023-09-15
Safaric, L., Björn (Fredriksson), A., Svensson, B. H., Bastviken, D. & Shakeri Yekta, S. (2023). Rheology, Micronutrients, and Process Disturbance in Continuous Stirred-Tank Biogas Reactors. Industrial & Engineering Chemistry Research, 62(43), 17372-17384
Open this publication in new window or tab >>Rheology, Micronutrients, and Process Disturbance in Continuous Stirred-Tank Biogas Reactors
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2023 (English)In: Industrial & Engineering Chemistry Research, ISSN 0888-5885, E-ISSN 1520-5045, Vol. 62, no 43, p. 17372-17384Article, review/survey (Refereed) Published
Abstract [en]

Anaerobic digestion (AD) is an important technology for achieving sustainability, but it faces challenges in meeting rising production demands while remaining economically profitable. One difficulty is the lack of a comprehensive understanding of the many interactions within anaerobic digesters, which makes it challenging to fully optimize them. This is particularly notable when considering the interlinked dynamics between micronutrient availability and fluid behavior. This study addresses this gap by focusing on key operational parameters affecting the efficiency of the process in continuous stirred-tank biogas reactors, which are the most used AD technology today. It does so by proposing and evaluating a novel conceptual model of the mechanisms behind how different parts of AD processes interact upon disturbance, highlighting strategies for preventing process failure. This article aims to improve our understanding of the complexity of AD biotechnology and to provide a starting point for developing advanced strategies for operational optimization.

Place, publisher, year, edition, pages
AMER CHEMICAL SOC, 2023
National Category
Chemical Process Engineering
Identifiers
urn:nbn:se:liu:diva-199339 (URN)10.1021/acs.iecr.3c00854 (DOI)001094453900001 ()
Note

Funding Agencies|Swedish Research Council Formas (Svenska Forskningsradet Formas) [2016- 01054]; Biogas Solutions Research Center, hosted by Linkoping University, Sweden; Swedish Energy Agency (Energimyndigheten) [P2021-90266]

Available from: 2023-11-28 Created: 2023-11-28 Last updated: 2024-05-01Bibliographically approved
Pajala, G., Rudberg, D., Gålfalk, M., Melack, J. M., Macintyre, S., Karlsson, J., . . . Bastviken, D. (2023). Source data for ” Higher apparent gas transfer velocities for CO2 compared to CH4 in small lakes”. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Source data for ” Higher apparent gas transfer velocities for CO2 compared to CH4 in small lakes”
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2023 (English)Data set
Place, publisher, year
Linköping: Linköping University Electronic Press, 2023
Keywords
carbon dioxide, methane, lake, gas transfer, greenhouse gas, piston velocity
National Category
Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-190160 (URN)10.48360/2f5f-2495 (DOI)
Funder
EU, Horizon 2020, 725546Knut and Alice Wallenberg Foundation, 2016.0083Swedish Research Council, 2016-04829Swedish Research Council Formas, 2018-01794
Note

2023-04-06 Version 2.0 published. Minor changes in the structure of the data file. There were no changes in the data.

2023-03-23 The title was changed from

Source data for “The effects of water column dissolved oxygen concentrations on lake methane emissions: Results from a whole-lake oxygenation experiment” to "Source data for ”Higher apparent gas transfer velocities for CO2 compared to CH4 in small lakes”"

2022-11-30 Version 1.0 published.

Available from: 2022-11-24 Created: 2022-11-24 Last updated: 2023-04-06Bibliographically approved
Balathandayuthabani, S., Wallin, M. B., Klemedtsson, L., Crill, P. & Bastviken, D. (2022). Catchment-scale aquatic C emissions. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Catchment-scale aquatic C emissions
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2022 (English)Data set, Primary data
Place, publisher, year
Linköping: Linköping University Electronic Press, 2022
National Category
Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-187114 (URN)10.48360/syr8-8f59_v2 (DOI)
Note

History:

2020-10-07 First published v. 1.0 of the dataset at https://doi.org/10.48360/syr8-8f59

2022-03-01 Changed the title of the dataset from "Precipitation-catchment aquatic C emissions" to "Catchment-scale aquatic C emissions"

2022-07-02 Published version 2.0

Available from: 2020-10-07 Created: 2022-08-02 Last updated: 2022-08-02
Svensson, T., Redon, P.-O., Thiry, Y., Montelius, M. & Bastviken, D. (2022). Chlorination of soil organic matter: The role of humus type and land use. Science of the Total Environment, 806p2, Article ID 150478.
Open this publication in new window or tab >>Chlorination of soil organic matter: The role of humus type and land use
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2022 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 806p2, article id 150478Article in journal (Refereed) Published
Abstract [en]

The levels of natural organic chlorine (Clorg) typically exceed levels of chloride in most soils and is therefore clearly of high importance for continental chlorine cycling. The high spatial variability raises questions on soil organic matter (SOM) chlorination rates among topsoils with different types of organic matter. We measured Clorg formation rates along depth profiles in six French temperate soils with similar Cl deposition using 36Cl tracer experiments. Three forest sites with different humus types and soils from grassland and arable land were studied. The highest specific chlorination rates (fraction of chlorine pool transformed to Clorg per time unit) among the forest soils were found in the humus layers. Comparing the forest sites, specific chlorination was highest in mull-type humus, characterized by high microbial activity and fast degradation of the organic matter. Considering non-humus soil layers, grassland and forest soils had similar specific chlorination rates in the uppermost layer (0–10 cm below humus layer). Below this depth the specific chlorination rate decreased slightly in forests, and drastically in the grassland soil. The agricultural soil exhibited the lowest specific chlorination rates, similar along the depth profile. Across all sites, specific chlorination rates were correlated with soil moisture and in combination with the patterns on organic matter types, the results suggest an extensive Cl cycling where humus types and soil moisture provided best conditions for microbial activity. Clorg accumulation and theoretical residence times were not clearly linked to chlorination rates. This indicates intensive Cl cycling between organic and inorganic forms in forest humus layers, regulated by humic matter reactivity and soil moisture, while long-term Clorg accumulation seems more linked with overall deep soil organic carbon stabilization. Thus, humus types and factors affecting soil carbon storage, including vegetation land use, could be used as indicators of potential Clorg formation and accumulation in soils.

Place, publisher, year, edition, pages
Elsevier, 2022
Keywords
Chlorination, Humus, Soil organic matter, Organic chlorine, Residence time, Klorering, humus, organiskt material, organiskt kol, omsättningstid
National Category
Soil Science Forest Science Agricultural Science Geosciences, Multidisciplinary Environmental Sciences related to Agriculture and Land-use
Identifiers
urn:nbn:se:liu:diva-179886 (URN)10.1016/j.scitotenv.2021.150478 (DOI)000709720900004 ()34582876 (PubMedID)2-s2.0-85116013665 (Scopus ID)
Note

Funding: French National Radioactive Waste Management Agency (Andra); Swedish Research Council VRSwedish Research Council; FORMASSwedish Research Council Formas; Linkoping University; Swedish Nuclear Fuel and Waste Manage-ment Company

Available from: 2021-10-04 Created: 2021-10-04 Last updated: 2021-11-08
Schenk, J., Sieczko, A. K., Rudberg, D., Pajala, G., Sawakuchi, H. O., Gålfalk, M., . . . Bastviken, D. (2022). Evaluating Empirical Models of Lake Methane Emission and Surface Water Concentration across Hemiboreal to Subarctic Regions. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Evaluating Empirical Models of Lake Methane Emission and Surface Water Concentration across Hemiboreal to Subarctic Regions
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2022 (English)Data set, Aggregated data
Place, publisher, year
Linköping: Linköping University Electronic Press, 2022
National Category
Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-184624 (URN)10.48360/962r-3z54 (DOI)
Available from: 2022-04-28 Created: 2022-04-28 Last updated: 2022-05-30
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-0038-2152

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