DESIGN OF EDUCATIONAL, TEXTILE INDUSTRY-THEMED TOURISM AREA ON KAHATEX GREEN OPEN SPACE IN JATIROKE VILLAGE, JATINANGOR, SUMEDANG REGENCY

As construction of green, open urban areas continue to expand, choosing appropriate tree species is important to ensure that the trees planted have sufficient survivability and will not harm visitors or properties of value. One variable that can be used to determine whether a tree species is fit for...

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Bibliographic Details
Main Author: Tjhen, Wan
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/69642
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:As construction of green, open urban areas continue to expand, choosing appropriate tree species is important to ensure that the trees planted have sufficient survivability and will not harm visitors or properties of value. One variable that can be used to determine whether a tree species is fit for planting in urban areas is water consumption, for which data is still limited. As water translocation within plants mostly happens in the stem and mechanisms such as transpiration are crucial in plant metabolism, water flow within tree trunks is thought to be affected by the tree’s biophysical conditions and weather. This research was conducted with an instrument called Sap Flow Meter for water flow detection within tree trunks, alongside wood drilling and measurements of mass and volume. The research is intended to analyze the connection between tree water consumption and biophysical parameters alongside weather variables. Results from this research shows that the average values of water consumption for suren, blackwood, and mahogany trees are 11.99, 65.03, and 90.39 L/day respectively. Water consumption and flow within tree trunks has correlations with tree biophysical conditions particularly canopy area and trunk diameter (DBH), but in order to get correlation between water consumption and weather variables, prediction models with multiple variables obtained through multiple regression is required.