Variations in the partial pressure of carbon dioxide within the Indalsälven River system: An analysis of multi-year data of several parameters to get an insight into the functioning of sub-artic river pCO2 spikes.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
Student thesis
Abstract [en]
Climate change has, in recent decades, warmed the climate and changed carbondynamics in land and water systems. For example, temperature and precipitation canchange carbon dynamics and cause largely unknown consequences. This researchuses data from a unique measuring station near Kattestrupeforsen, Jämtland, Sweden, in order to answer the question of how the pCO2 (ppm) concentration of the water in the local area reacts to changes in the factors of air/water temperature, solar irradiation, precipitation, turbidity, water level and water inflow into the area. This was analysed using a visual analysis of the peaks that occur in the pCO2 and a statistical regression analysis of peak pCO2 events and for each yearly quarter as well as for the identified peak events. Moreover, the limited amount of available turbidity data was visually analysed to comprehend how it correlates with the pCO2 values. The results indicate that the turbidity data available has no visible correlation, possibly due to a lack in data. Temperature data appeared to be responsible for some of the variation seen, although likely more as a conditional value. Irradiation and precipitation data gave inconsequent results and are not deemed likely to influence the peaks in pCO2 in the time scale analysed. Water level and streamflow showed the most stable and significant correlation of all parameters analysed, although they remained relatively inconsistentin their ability to explain pCO2 peaks seen.
Place, publisher, year, edition, pages
2023. , p. 36
Keywords [en]
Indalsälven, Carbon dioxide, CO2 concentration, pCO2, Snowmelt, Temperature, Climate change, Hydrology, Storsjön, Hydropower plant, Regression analysis
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:miun:diva-51290OAI: oai:DiVA.org:miun-51290DiVA, id: diva2:1856881
Subject / course
Environmental Engineering MM1
Educational program
International Master's Programme in Ecotechnology and Sustainable Development NEKAA 120 higher education credits
Supervisors
Examiners
Note
2024-03-06
2024-05-082024-05-082025-09-25