A database for nutrients and chlorophyll ‘a’ in the Nielba River (Poland)

Published: 1 July 2021| Version 2 | DOI: 10.17632/mpfyk7jcz9.2
Paulina Orlińska-Woźniak,


The database contains results of the modeling study implemented for the agricultural catchment of the Nielba River (Poland) on total nitrogen and phosphorus loads, and chlorophyll ‘a’ concentrations. The study resulted from the research performed by the Interdisciplinary Research Group - Pollutant Transport in a Catchment (http://ochrsrod.agh.edu.pl/index.html). Using the calibrated and verified basin model created in the Macromodel DNS/SWAT [1-6] as a baseline scenario, subsequently the climate change scenarios were superimposed. The future climate conditions analysis covered moderate (RCP4.5) and extrapolative (RCP8.5) scenarios and two time horizons: short-term (2026-2035) and long-time (2046-2055) perspectives from the UAP project [7]. Four climate variant scenarios, with a monthly time step, were prepared to combine the RCP predictions and adopted time horizons: VS1 (RCP4.5 - 2026–2035); VS2 (RCP4.5 - 2046–2055), VS3 (RCP8.5 - 2026–2035), VS4 (RCP8.5 - 2046–2055). To track the total nitrogen loads, phosphorus loads and chlorophyll ‘a’ concentrations on the sub-basin level the Nielba River basin was divided into 7 units. Impacts of climate change scenarios (VS1-4) on TN (kg/m), TP (kg/m) and CHLA (µg/l) for each of these units (sub-basins) are displayed through the selection of database filters. The database consists of three Excel sheets: Sheet 1: Map – location of the Nielba River basin area along with the division into sub-basins including flow-through lakes and sub basins features: elevation, land use and soils classes share in the sub-basin area Sheet 2: Plot – pivot result plot - results of the individual scenarios impact on the nitrogen and phosphorus loads, and chlorophyll ‘a’ concentrations presented in the form of a pivot column chart. By using the "SUB”, “season” and “MON" select buttons user can filter results for the chosen sub-basin, season and month Sheet 3: Output – result values for the all sub-basins and adopted scenarios: average flows, total nitrogen and phosphorus loads, chlorophyll ‘a’ concentrations. Orlińska-Woźniak, P., Szalińska, E.,Wilk, P., 2020a. https://doi.org/10.3390/w12051499 Orlińska-Woźniak, P., Wilk, P., Szalińska, E., 2020b. https://doi.org/10.1016/j.agsy.2020.102858 Szalińska, E., Wilk, P., 2018. Economics and Environment 3 (66), 25–37. Wilk, P., Orlińska-Woźniak, P., Gębala, J., Ostojski,M., 2017. Technical Transactions (11), 137–159. Wilk, P., Orlińska-Woźniak, P., Gębala, J., 2018a. https://doi.org/10.5194/hess-22-1033-2018 Wilk, P., Orlińska-Woźniak, P., Gębala, J., 2018b. https://doi.org/10.5277/epe18040 MPA Project – Urban Adaptation Plans http://klimada.mos.gov.pl/en/mpa-project-urban-adaptation-plans/



Instytut Meteorologii i Gospodarki Wodnej, Akademia Gorniczo-Hutnicza imienia Stanislawa Staszica w Krakowie


Natural Sciences