Search for projects with tag "water quality"
[ID: 388] SITES Aquanet
PI: Johan Westin
A standardized infrastructure for researchers to run mesocosm experiments across lakes. The SITES AquaNet infrastructure is comprised of a floating platform containing mesososm enclosures, automatic sensors connected to a datalogging system and handheld sensors. Several water quality variables (light, turbidity, temperature and oxygen, chlorophyll-a and phycocyanin concentrations) can be continuously monitored in each mesocosm with a set of sensors. The sensors are wired to a common cabinet where data is recorded and made available real-time. The sensor set-up allows for capturing ecological responses at a detailed temporal scale. In addition, handheld sensors offer the possibility to measure in-situ pH and conductivity. In principle, it is possible that researchers add their own instruments and equipment to the infrastructure, however, this requires careful planning together with SITES AquaNet. A detailed description of the AquaNet infrastructure can be found in Urrutia-Cordero, P., et al. (2021). Several stations participate in AquaNet, and this project is related to activities at Svartberget. SLU.
[ID: 240] CATCHMENT SCALE SUSPENDED SEDIMENT EXPORT
Question: How does clear-cutting and subsequent ditch cleaning affect the quality and quantity of exported suspended solids (SS) at the catchment scale? Methods: 1. Turbidity logged every 15 minutes during the ice-free season 2. Suspended Sediment grab sample on average 2x per month all year round a. Use SS grab samples to correlate to turbidity and thus have continuous measurements during active times of the year. 3. Time Integrated Mass Flux Sampling (TIMS) during ice-free season – Integrated measure over 2 weeks 4. Ditch characteristics before and after cleaning a. bed material samples b. measurements of particle size distribution of the bed material c. ditch cross sections at 50 m intervals with high res GPS or total station d. ditch depth, bottom width
[ID: 147] Analysing the Krycklan water quality data using a landscape systems approach
PI: Gunnar Lischeid
Decades of extensive research in the Krycklan Catchment have unravelled a multitude of hydrological, biogeochemical and biological processes. Whereas clear evidence can be found in the lab or in plot scale studies, a proof of relevance at the landscape scale requires powerful modern methods. To that end two different approaches (Isometric Feature Mapping and Self-Organizing Maps, combined with Sammon's Mapping) are applied to a comprehensive stream and groundwater quality data set.
water qualitystreamgroundwaterlong-term monitoringnon-linear statisticsIsometric Feature MappingSelf-Organizing MapSammons Mapping