MODELLING INDONESIA MARINE DEBRIS ESTUARIES DISTRIBUTION BY ENVIRONMENT REMOTE SENSING DATA INTEGRATION AND SOCIO-ECONOMIC ASPECTS
Plastic waste threatened marine ecosystems and contaminated the mainland. The world faces millions of plastic waste from the mainland to the ocean with human’s activity as its main factor. Indonesia with 3.43% of the world population is one of greatest producers placed in 2nd position in 2010 obl...
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id-itb.:709742023-01-25T13:20:14ZMODELLING INDONESIA MARINE DEBRIS ESTUARIES DISTRIBUTION BY ENVIRONMENT REMOTE SENSING DATA INTEGRATION AND SOCIO-ECONOMIC ASPECTS Nidia Rinasti, Aprilia Indonesia Final Project marine debris, geospatial analysis, urban areas, estuary INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/70974 Plastic waste threatened marine ecosystems and contaminated the mainland. The world faces millions of plastic waste from the mainland to the ocean with human’s activity as its main factor. Indonesia with 3.43% of the world population is one of greatest producers placed in 2nd position in 2010 obligated to use strategic actions to solve plastic waste. Strategic actions provided by approach study of mainland and marine integration using remote sensing technology. The objective of this study is to provide estimation of unmanaged plastic waste by the coastal area, at the estuaries particularly as the direct integration between mainland and ocean, improving by socio-economy approach and environmental. Parameters used in this study are LULC developed with social distribution and economy activity, resulting potential indexes and base calculation of unmanaged plastic waste distribution. Methods used calculation for plastic waste distribution based on weight and overlap identification between land and coastal area. Result shows 0.6% of Indonesia which metropolitan cities create the highest potency. By improving three scenarios based on plastic waste composition: 15%, 30%, and 45% from whole plastic waste inputs to the ocean indicates total accumulation 33 tonnes/day, 67 tonnes/day, and 101 tonnes/day first-estimated input to the ocean for whole Indonesia estuaries. text |
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Plastic waste threatened marine ecosystems and contaminated the mainland. The world
faces millions of plastic waste from the mainland to the ocean with human’s activity as
its main factor. Indonesia with 3.43% of the world population is one of greatest producers
placed in 2nd position in 2010 obligated to use strategic actions to solve plastic waste.
Strategic actions provided by approach study of mainland and marine integration using
remote sensing technology. The objective of this study is to provide estimation of
unmanaged plastic waste by the coastal area, at the estuaries particularly as the direct
integration between mainland and ocean, improving by socio-economy approach and
environmental. Parameters used in this study are LULC developed with social
distribution and economy activity, resulting potential indexes and base calculation of
unmanaged plastic waste distribution. Methods used calculation for plastic waste
distribution based on weight and overlap identification between land and coastal area.
Result shows 0.6% of Indonesia which metropolitan cities create the highest potency. By
improving three scenarios based on plastic waste composition: 15%, 30%, and 45% from
whole plastic waste inputs to the ocean indicates total accumulation 33 tonnes/day, 67
tonnes/day, and 101 tonnes/day first-estimated input to the ocean for whole Indonesia
estuaries. |
format |
Final Project |
author |
Nidia Rinasti, Aprilia |
spellingShingle |
Nidia Rinasti, Aprilia MODELLING INDONESIA MARINE DEBRIS ESTUARIES DISTRIBUTION BY ENVIRONMENT REMOTE SENSING DATA INTEGRATION AND SOCIO-ECONOMIC ASPECTS |
author_facet |
Nidia Rinasti, Aprilia |
author_sort |
Nidia Rinasti, Aprilia |
title |
MODELLING INDONESIA MARINE DEBRIS ESTUARIES DISTRIBUTION BY ENVIRONMENT REMOTE SENSING DATA INTEGRATION AND SOCIO-ECONOMIC ASPECTS |
title_short |
MODELLING INDONESIA MARINE DEBRIS ESTUARIES DISTRIBUTION BY ENVIRONMENT REMOTE SENSING DATA INTEGRATION AND SOCIO-ECONOMIC ASPECTS |
title_full |
MODELLING INDONESIA MARINE DEBRIS ESTUARIES DISTRIBUTION BY ENVIRONMENT REMOTE SENSING DATA INTEGRATION AND SOCIO-ECONOMIC ASPECTS |
title_fullStr |
MODELLING INDONESIA MARINE DEBRIS ESTUARIES DISTRIBUTION BY ENVIRONMENT REMOTE SENSING DATA INTEGRATION AND SOCIO-ECONOMIC ASPECTS |
title_full_unstemmed |
MODELLING INDONESIA MARINE DEBRIS ESTUARIES DISTRIBUTION BY ENVIRONMENT REMOTE SENSING DATA INTEGRATION AND SOCIO-ECONOMIC ASPECTS |
title_sort |
modelling indonesia marine debris estuaries distribution by environment remote sensing data integration and socio-economic aspects |
url |
https://digilib.itb.ac.id/gdl/view/70974 |
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1822991921204690944 |