Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New Guinea
The wellbeing, socio-economic viability and the associated health of the inhabitant species of any ecosystem are largely dependent on the quality of its water resources. In this regard, we developed a protocol to measure the potential impact of various environmental and anthropogenic factors on runo...
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MDPI AG
2020-10-01
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author | Willie Doaemo Lawrence Wuest Shaurya Bajaj Wan Shafrina Wan Mohd Jaafar Midhun Mohan |
author_facet | Willie Doaemo Lawrence Wuest Shaurya Bajaj Wan Shafrina Wan Mohd Jaafar Midhun Mohan |
author_sort | Willie Doaemo |
collection | DOAJ |
description | The wellbeing, socio-economic viability and the associated health of the inhabitant species of any ecosystem are largely dependent on the quality of its water resources. In this regard, we developed a protocol to measure the potential impact of various environmental and anthropogenic factors on runoff quality at 22 water sampling sites across the Bumbu Watershed in Papua New Guinea. For this purpose, we utilized Digital Elevation Models and several GIS techniques for delineation of stream drainage patterns, classification of the watershed based on Land Use/Land Cover, spatial interpolation of rainfall patterns and computation of the corresponding factor runoff. Our study concludes that a variety of potential challenges to surface water quality are possible such as natural geologic and geochemical inputs, runoff accumulation of precipitation and organic matter pollutants. The developed protocol can also accommodate socio-economic factors such as community and household health, sanitation and hygiene practices, pollution and waste disposal. This research lays the foundation for further development of an all-inclusive correlational analysis between the relative importance values of the factors influencing runoff and spatially distributed water quality measurements in the Bumbu basin. |
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language | English |
last_indexed | 2024-03-10T15:39:09Z |
publishDate | 2020-10-01 |
publisher | MDPI AG |
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series | Hydrology |
spelling | doaj.art-151366455a614197adf7465ec47be8992023-11-20T16:59:29ZengMDPI AGHydrology2306-53382020-10-01747710.3390/hydrology7040077Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New GuineaWillie Doaemo0Lawrence Wuest1Shaurya Bajaj2Wan Shafrina Wan Mohd Jaafar3Midhun Mohan4Department of Civil Engineering, Papua New Guinea University of Technology, Lae 00411, Papua New GuineaUnited Nations Volunteer, Stanley, NB E6B 2K5, CanadaUnited Nations Volunteer, Morobe Development Foundation, Lae 00411, Papua New GuineaEarth Observation Centre, Institute of Climate Change, National University of Malaysia (UKM), Bangi 43600, Selangor, MalaysiaUnited Nations Volunteer, Morobe Development Foundation, Lae 00411, Papua New GuineaThe wellbeing, socio-economic viability and the associated health of the inhabitant species of any ecosystem are largely dependent on the quality of its water resources. In this regard, we developed a protocol to measure the potential impact of various environmental and anthropogenic factors on runoff quality at 22 water sampling sites across the Bumbu Watershed in Papua New Guinea. For this purpose, we utilized Digital Elevation Models and several GIS techniques for delineation of stream drainage patterns, classification of the watershed based on Land Use/Land Cover, spatial interpolation of rainfall patterns and computation of the corresponding factor runoff. Our study concludes that a variety of potential challenges to surface water quality are possible such as natural geologic and geochemical inputs, runoff accumulation of precipitation and organic matter pollutants. The developed protocol can also accommodate socio-economic factors such as community and household health, sanitation and hygiene practices, pollution and waste disposal. This research lays the foundation for further development of an all-inclusive correlational analysis between the relative importance values of the factors influencing runoff and spatially distributed water quality measurements in the Bumbu basin.https://www.mdpi.com/2306-5338/7/4/77digital elevation modelmaximum likelihood estimation (MLE) classificationrunoff qualitysocial, economic and environmental (SEE) factorTriangulated Irregular Network (TIN)urbanization |
spellingShingle | Willie Doaemo Lawrence Wuest Shaurya Bajaj Wan Shafrina Wan Mohd Jaafar Midhun Mohan Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New Guinea Hydrology digital elevation model maximum likelihood estimation (MLE) classification runoff quality social, economic and environmental (SEE) factor Triangulated Irregular Network (TIN) urbanization |
title | Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New Guinea |
title_full | Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New Guinea |
title_fullStr | Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New Guinea |
title_full_unstemmed | Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New Guinea |
title_short | Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New Guinea |
title_sort | analytical protocol to estimate the relative importance of environmental and anthropogenic factors in influencing runoff quality in the bumbu watershed papua new guinea |
topic | digital elevation model maximum likelihood estimation (MLE) classification runoff quality social, economic and environmental (SEE) factor Triangulated Irregular Network (TIN) urbanization |
url | https://www.mdpi.com/2306-5338/7/4/77 |
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