Research output per year
Research output per year
K. Koster*, J. Stafleu, K. M. Cohen, E. Stouthamer, Freek S. Busschers, H. Middelkoop
Research output: Contribution to journal › Article › Academic › peer-review
Human-induced groundwater level lowering in the Holocene coastal-deltaic plain of the Netherlands causes oxidation of peat organic matter, resulting in land subsidence and carbon dioxide (CO2) emissions. Here, a three-dimensional (3D) analysis of the distribution of the remaining peat organic matter is presented, to quantify the potential of this area to further subsidence and CO2 emissions by oxidation. Hereto, we established relations between dry mass ratios of organic matter and sediment in peat formed in different environmental settings. This was combined with a high-resolution 3D geological model of the subsurface of the Netherlands to map the proportions of organic matter, clastic sediment and void space in peat. The 3D model indicates that c. 15 km3 of Holocene peat is embedded in the coastal-deltaic plain subsurface, of which c. 1.5 km3 consists of organic matter, 0.4 km3 of sediment, and 13.1 km3 of void space. During future human-induced oxidation, this peat has a volumetric loss potential of 14.6 km3, responsible for locally 0.4–6.0 m of subsidence, and a CO2 emission of 2.0 Gton. The 3D modelling revealed that the amount of peat organic matter varies considerably between regions. Especially the subsurface of urban areas overlying back-barrier peat were identified as hot-spots accommodating the highest quantities of peat organic matter. The peat in agricultural areas contains less organic matter but is more prone to oxidation than peat underlying urban areas, because in the latter settings anthropogenic brought-up soil restricts oxidation. Future mitigation strategies should therefore focus on restricting peat oxidation in the agricultural areas of the coastal-deltaic plain.
Original language | English |
---|---|
Pages (from-to) | 1-9 |
Journal | Anthropocene |
Volume | 22 |
DOIs | |
Publication status | Published - 1 Jun 2018 |
This paper is part of the PhD study of KK, financed by TNO-GSN and Utrecht University. We thank Sanneke van Asselen, Harm Jan Pierik, and Gilles Erkens of UU, for kindly sharing their LOI datasets, and Ronald Harting of TNO-GSN for querying the TGA dataset. This manuscript benefitted greatly from comments by two anonymous reviewers.
Research output: Contribution to journal › Article › Academic › peer-review
Research output: Contribution to journal › Article › Academic › peer-review
Research output: Thesis › Doctoral thesis 1 (Research UU / Graduation UU)
Research output: Contribution to journal › Article › Academic › peer-review
Research output: Contribution to journal › Article › Academic › peer-review