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This study aims to model landscape architecture structure on settlement surrounding high-way to reduce PM10, vehicle based emission. Open spaces act as <br /> <br /> <br /> <br /> dispersion medium therefore it will be subject of the structure. Settlements on Tama...

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Main Author: MAULANA ACHMAD (NIM : 25208022), IQBAL
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/22597
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:22597
spelling id-itb.:225972017-09-27T15:24:11Z#TITLE_ALTERNATIVE# MAULANA ACHMAD (NIM : 25208022), IQBAL Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/22597 This study aims to model landscape architecture structure on settlement surrounding high-way to reduce PM10, vehicle based emission. Open spaces act as <br /> <br /> <br /> <br /> dispersion medium therefore it will be subject of the structure. Settlements on Taman Sari sub-district, Bandung Wetan district, Bandung city is the study case. Basin-like topography offers different height off reseptor to the emission sources hence varying dispersion and distribution concentration. Reseptor below high-way is to be treated with canopy like crown vegetation, while those parallel to the sources needed a column like crown vegetation. Horisontally, model is formulated by analysing pollution, settlements, dan <br /> <br /> <br /> <br /> vegetation characteristic. Dispersion and concentration is interpollated with the settlement pattern and space dimension to produce different landscape intervention, such as vegetation type, form, and dimension. Amount vegetation needed is calculated with Big-Leaf Resistance Model. Study result showed that despite the concentration level, the amount trees required to reduce entire pollution is 43% land area, while grass needed 147%. Wide and height ratio (d/h) of the spaces showed turbulence occured on it. If d/h < 1, lansdscape intervention chosen were canopy-like crown. If d/h >=1, <br /> <br /> <br /> <br /> coloumn-like crown tree was tree chosen intervention. Height of the surrounding building determine whether green roof or wall is applied. 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 This study aims to model landscape architecture structure on settlement surrounding high-way to reduce PM10, vehicle based emission. Open spaces act as <br /> <br /> <br /> <br /> dispersion medium therefore it will be subject of the structure. Settlements on Taman Sari sub-district, Bandung Wetan district, Bandung city is the study case. Basin-like topography offers different height off reseptor to the emission sources hence varying dispersion and distribution concentration. Reseptor below high-way is to be treated with canopy like crown vegetation, while those parallel to the sources needed a column like crown vegetation. Horisontally, model is formulated by analysing pollution, settlements, dan <br /> <br /> <br /> <br /> vegetation characteristic. Dispersion and concentration is interpollated with the settlement pattern and space dimension to produce different landscape intervention, such as vegetation type, form, and dimension. Amount vegetation needed is calculated with Big-Leaf Resistance Model. Study result showed that despite the concentration level, the amount trees required to reduce entire pollution is 43% land area, while grass needed 147%. Wide and height ratio (d/h) of the spaces showed turbulence occured on it. If d/h < 1, lansdscape intervention chosen were canopy-like crown. If d/h >=1, <br /> <br /> <br /> <br /> coloumn-like crown tree was tree chosen intervention. Height of the surrounding building determine whether green roof or wall is applied.
format Theses
author MAULANA ACHMAD (NIM : 25208022), IQBAL
spellingShingle MAULANA ACHMAD (NIM : 25208022), IQBAL
#TITLE_ALTERNATIVE#
author_facet MAULANA ACHMAD (NIM : 25208022), IQBAL
author_sort MAULANA ACHMAD (NIM : 25208022), IQBAL
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/22597
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