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A master's thesis from Aalborg University
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PHOSPHORUS RISK ASSESSMENT IN SURFACE WATERS: Determination of phosphorus losses in the Romdrup Å catchment from surface erosion and drainage pathways

Translated title

PHOSPHORUS RISK ASSESSMENT IN SURFACE WATERS

Author

Term

4. term

Education

Publication year

2016

Submitted on

Pages

60

Abstract

Dette speciale vurderer risikoen for, at fosfor (P) fra omkringliggende landbrugsarealer ledes til vandløb og andet overfladevand i Romdrup Å-oplandet i det østlige Aalborg Kommune. Undersøgelsen sammenligner to vigtigste transportveje: overfladeerosion fra jorderne og afstrømning gennem landbrugsdræn. Arbejdet kombinerer feltmålinger, kortlægning og modeller for at kvantificere bidragene fra hver kilde. Data omfatter vandprøver og målinger af suspenderet stof (partikler i vandet), registrering af tilførsel via overfladeafstrømning og dræn samt analyser af arealanvendelse. Kilderne samles og visualiseres i et geografisk informationssystem (GIS). Til at beregne det samlede jorderosionstab fra oplandet anvendes den reviderede universelle jorderosionsligning (RUSLE). Fordelingen af jordfugt i forskellige magasiner undersøges med NAM-modellen (MIKE11, DHI), som beskriver, hvordan vand lagres og bevæger sig i jorden. Ved at sammenligne kildernes niveauer estimeres risikoen for ophobning af P i overfladevande og de relative bidrag fra erosion og dræn. Afslutningsvis diskuteres metodernes evne til at besvare problemstillingen, og der fremsættes forslag til mulige forbedringer.

This thesis assesses the risk that phosphorus (P) from surrounding farmland reaches streams and other surface waters in the Romdrup Å basin in eastern Aalborg Municipality. The study compares two main transport pathways: surface erosion from soils and flow through agricultural drains. It combines field measurements, mapping, and models to quantify the contribution from each source. Data include water samples and measurements of suspended solids (particles in the water), inputs via surface runoff and drainage, and land-use analyses. The different sources are integrated and visualized in a geographic information system (GIS). The Revised Universal Soil Loss Equation (RUSLE) is used to estimate overall soil loss from the catchment. Soil moisture distribution among different stores is studied with the NAM model (MIKE11, DHI), which describes how water is stored and moves within the soil. By comparing source rates, the study estimates the risk of P accumulation in surface waters and the relative contributions of erosion and drainage. The thesis concludes by evaluating how well the chosen methods address the research question and by proposing ideas for further improvements.

[This abstract was generated with the help of AI]