Fachrudin, Muhamad Naufal (2020) Perencanaan Vegetasi Untuk Serapan Emisi CO2 Kendaraan Bermotor Pada Jalan Tol Krian - Legundi - Bunder. Other thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
03211640000120-Undergraduate_Thesis.pdf Download (11MB) | Preview |
Abstract
Jalan Tol Krian – Legundi – Bunder merupakan proyek
nasional pemerintah sepanjang 38,39 kilometer. Tercatat pada tahun 2015 lalu lintas harian Jalan Tol Krian – Legundi – Bunder adalah sebesar 73.963 kendaraan/hari yang dapat menyumbang emisi CO2 ke lingkungan. Tujuan perencanaan ini adalah menentukan jumlah emisi CO2 dan merencanakan serapan emisi CO2 kendaraan bermotor pada Seksi I dan Seksi III Jalan Tol Krian – Legundi – Bunder dari tahun 2020 – 2030 sebagai rekomendasi pembangunan RTH di jalan tol tersebut.
Perencanaan vegetasi untuk serapan (RTH) pada Jalan Tol
Krian – Legundi – Bunder dilakukan dengan prinsip Model Box
dimana emisi CO2 berasal dari kendaraan bermotor dan reduksi emisi CO2 menggunakan vegetasi. Digunakan proyeksi jumlah kendaraan bermotor selama 10 tahun dari tahun 2020 – 2030 dengan tiga skenario, yaitu kondisi pesimis, kondisi moderat dan kondisi optimis. Jumlah emisi CO2 ditentukan dengan grafik korelasi volume kendaraan – emisi CO2. Vegetasi yang digunakan adalah kombinasi rumput, perdu/semak dan pohon.
Berdasarkan hasil perhitungan dapat diketahui pada tahun
2030 kebutuhan serapan vegetasi yang terbesar yaitu pada kondisi optimis. Dalam kondisi optimis pada Seksi I dibutuhkan rumput seluas 156,447 ha, perdu/semak seluas 152,613 ha dan pohon seluas 144,883 ha serta pada Seksi III dibutuhkan rumput seluas 82,693 ha, perdu/semak seluas 80,343 ha dan pohon seluas 75,562 ha.
=================================================================================================
Krian - Legundi - Bunder Toll Road is a 38,39 kilometer
national project of government. Krian – Legundi – Bunder – Manyar Toll Road. In 2015, the daily traffic of the Krian - Legundi - Bunder Toll Road was 73.963 vehicles/day that can produce CO2 emissions. The purpose of this plan is to determine the amount of CO2 emissions and plan the absorption of CO2 emissions in motor vehicles in Section I and Section III Krian – Legundi – Bunder Toll Road from 2020 – 2030 as a recommendation for the development of green open space on the toll road.
Planning of vegetation for uptake on the Krian – Legundi –
Bunder Toll Road is carried out with the Box Model principle where CO2 emissions come from motor vehicles and reduction of CO2 emissions using vegetation. The projected number of motor vehicles for 10 years from 2020 – 2030 is used with three scenarios, namely pessimistic conditions, moderate conditions and optimistic conditions. The amount of CO2 emissions is determined by a graph of the relationship of vehicle volume – CO2 emissions. Vegetation used is a combination of grass, shrubs and trees.
Based on the calculation results, it can be seen that in 2030 the greatest absorption of vegetation is in an optimistic condition. In optimistic conditions in Section I, it requires 156,447 ha of grass, 152,613 ha of shrubs and 144,883 ha of trees, and in Section III, it requires 82,693 ha of grass, 80,343 ha of shrubs and 75,562 ha of trees.
Item Type: | Thesis (Other) |
---|---|
Uncontrolled Keywords: | box model, CO2, emission uptake, green open space, toll road, CO2, jalan tol, model box, RTH, serapan emisi |
Subjects: | T Technology > TD Environmental technology. Sanitary engineering > TD171.75 Climate change mitigation T Technology > TD Environmental technology. Sanitary engineering > TD883.2 Automobiles--Motors--Exhaust gas T Technology > TD Environmental technology. Sanitary engineering > TD883.5 Air--Pollution T Technology > TD Environmental technology. Sanitary engineering > TD890 Global Environmental Monitoring System |
Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Environmental Engineering > 25201-(S1) Undergraduate Thesis |
Depositing User: | Muhamad Naufal Fachrudin |
Date Deposited: | 18 Aug 2020 04:40 |
Last Modified: | 23 Jun 2023 08:08 |
URI: | http://repository.its.ac.id/id/eprint/78484 |
Actions (login required)
View Item |