AGU Fall Meeting 2019

Rimba, Andi B., Mohan, Geetha, Chapagain,Saroj, Fukushi, Kensuke, Roder, Giulia and Andi, Arumansawang ed. AGU Fall Meeting 2019 2019/12/9-13 San Francisco. Online: American Geophysical Union, 2019.

Document type:
Conference Proceeding

Metadata
Links
Versions
Statistics
  • Sub-type Conference proceedings
    Author Rimba, Andi B.
    Mohan, Geetha
    Chapagain,Saroj
    Fukushi, Kensuke
    Roder, Giulia
    Andi, Arumansawang
    Title of Event AGU Fall Meeting 2019
    Date of Event 2019/12/9-13
    Place of Event San Francisco
    Publication Date 2019-12
    Place of Publication Online
    Publisher American Geophysical Union
    Pages 1, I
    Language eng
    Abstract Due to the rapid increase of land use in Bali province, there would be a gradually effect on water quality since has been widely agreed by the scientific community that there is a significant relationship between land use and water quality. For evaluating this association, this study examined the effect of spatial variation between land use categories like built-up, rice field, farm and forest and water quality in three selected known rivers (Ayung, Badung and Mati river). The study employed Geographically Weighted Regression (GWR), which consider local parameters drawn from Landsat 8 OLI in October 2015 and water quality data consists of 22 parameters and grouped into four aspects (i.e., physical, chemical, microbial and radiological aspect) are collected from Bali-Penida river region office in July 2015. Some of the key research results exhibit that the physical (Conductivity, TSS and Turbidity) and chemical (DO, KMnO4, COD, BOD, NO3, NO2, NH3 and PO4) aspects have a strong correlation (R2 > 0.5) with built-up and rice field, however, microbial and radiological water quality parameters have low relationship (R2 < 0.4) with all land uses except Pb and total Fe (R2 > 0.6) under radiological aspect.
    Copyright Holder The Authors
    Copyright Year 2019
    Copyright type Creative commons
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 647 Abstract Views  -  Detailed Statistics
    Created: Wed, 27 May 2020, 09:37:14 JST by Rachel Nunn on behalf of UNU IAS