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Titel:Understanding the Combined Effects of Land Cover, Precipitation and Catchment Size on Nitrogen and Discharge - A Case Study of the Mississippi River Basin
Autor:Allafta, Hadi
Weitere Verfasser:Opp, Christian
Veröffentlicht:2022
URI:https://archiv.ub.uni-marburg.de/es/2022/0168
DOI: https://doi.org/10.3390/w14060865
URN: urn:nbn:de:hebis:04-es2022-01684
DDC:910 Geografie, Reisen
Publikationsdatum:2022-11-22
Lizenz:https://creativecommons.org/licenses/by/4.0

Dokument

Schlagwörter:
discharge, precipitation, nitrogen, land cover, Mississippi River

Summary:
Biological processes of rivers are strongly influenced by concentration and fluxes of nitrogen (N) levels. In order to restrain eutrophication, which is typically caused by urbanisation and agricultural expansion, nitrogen levels must be carefully controlled. Data from 2013 to 2017 were gathered from 26 sub-catchments in the Mississippi River basin to assess the effects that catchment size, land cover, and precipitation can have on the discharge and total nitrogen (TN) and how TN yields deviate from a generalised local trend. The findings indicated that land cover and precipitation had a determinative effect on area-weighted discharge (Qarea). More specifically, Qarea had significant positive (directly proportional) relationships with precipitation, forest, and urbanised land cover, and significant negative (inversely proportional) relationships with grassland/pasture and scrub/shrub land covers. Concurrently, the TN concentration significantly increased in the presence of agricultural land cover, but significantly decreased in forest land cover. The TN yield (TN concentration � Qarea) was largely determined by Qarea because the latter was observed to fluctuate more dramatically than concentration levels. Consequently, the TN yield exhibited the same relationships that Qarea had with precipitation and land covers. The TN yield changed significantly (p < 0.05) and positively with instantaneous discharge across all sites. Nevertheless, the rate of TN yield variations with discharge displayed a significant (p < 0.0001) negative (r2 = 0.80) relation with the catchment size. Ultimately, this study used discharge readings to facilitate the prediction of TN concentrations and yields across various catchment areas in the Mississippi River basin and provided a robust model for future research in this area.


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