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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Main Author: Nidia Rinasti, Aprilia
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/70974
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:70974
spelling 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
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description 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
_version_ 1822991921204690944