hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Drone versus Manual Water Quality Assessment: A Comparative Study in Rural and Urban Retention Basins
Halmstad University, School of Business, Innovation and Sustainability.
Halmstad University, School of Business, Innovation and Sustainability.
2025 (English)Independent thesis Advanced level (degree of Master (One Year)), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

Water is an indispensable natural resource essential for the existence of all living organisms, and it acts as the basic building block of all ecosystem services and human activities. Nevertheless, the surface water quality has been impaired by urbanization, climate change, and intensive agricultural practices. We compare traditional water quality monitoring with drone-based water quality analysis. For this study, we considered two retention basins in Sweden (Halmstad region), one in an urban environment and the other in a rural area, and selected six sampling points in each basin and analyzed nitrate, nitrite, conductivity, temperature, pH, TOC, TN, and phosphate. When comparing manual and drone sensor readings, conductivity and temperature were higher in manual measurement, whereas nitrate had a higher reading in drone sensor measurement; however, pH was comparatively similar in all types of readings. While comparing the two sampling methods, nitrate and TOC show significant differences; thus, nitrite, phosphate, and TN show no significant differences. Through this study, we investigated how those hydrological conditions affect water quality. If drone technology becomes more advanced in the future, it should be an alternative technique to conventional water quality analysis.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Surface water quality, Urban Retention Basin, Rural retention Basin, Conventional methods, Influence of Urbanisation
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:hh:diva-56473OAI: oai:DiVA.org:hh-56473DiVA, id: diva2:1970644
Subject / course
Environmental Science
Educational program
Master's Programme in Applied Environmental Science
Supervisors
Examiners
Available from: 2025-06-19 Created: 2025-06-16 Last updated: 2025-10-01Bibliographically approved

Open Access in DiVA

fulltext(802 kB)39 downloads
File information
File name FULLTEXT02.pdfFile size 802 kBChecksum SHA-512
c0ea5155efdc9271e2cf90538ee9da2060f31fdf1f0b4eeeff8737080573e5c58e2e929dcb113579374e17fab30a9b7ac03b80d9a86207b8276f7a8cc581b119
Type fulltextMimetype application/pdf

By organisation
School of Business, Innovation and Sustainability
Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 39 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 125 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf