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LCA of GHG Emission Based on an Input-Output Model: Estimation on a City Level in Indonesia

机译:基于投入产出模型的温室气体最低排放量生命周期评价:印度尼西亚城市一级的估计

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Kupang city is growth rapidly and located in a strategic position between Australia and Timor Leste. A sharp increase of GHG emission along with environmental pollution, contamination of water, air and improper waste disposal practices as its consequence to the global environment. The city's government ambition to evaluate impact of economic activity on greenhouse gases (GHG) emission contribution. This paper outlined pollutant sectors that contribute substantially to GHG emission in Kupang along with its structure, and count an estimated amount of emission coefficients for 27 economy sectors. More in-depth explanation about indirect coefficient pollutant emission which beneficial not only for calculation of the emission amount but more as inventory data for LCA. The paper is investigated review the trends of some priority sectors, then introduction of indirect coefficients of pollutant sectors, and showed the Pollutant Emission Structure for Kupang. After that, an estimated amount of Kupang GHG emission under BAU is also counted and confirmed. The paper only considers GHG emission issues while air pollutant emission only be provided as inventory data but will not be used as exogenous data for this paper. In the final part a brief explanation and implications of GHG emission policy in Kupang are identified. A detailed of input-output data for individual process are provided includes all groups of processes or industry sectors relevant to economy activities in Kupang City. A time period for Global Warming Potential (GWP) 20 year and 100 years are used to forecasted amounts share of total GHG emission in Kupang and Indonesia by 2020 compared to 2010. As results first, the GHG emission and air pollutant coefficients for 27 sectors in Kupang based on method is presented in NIES which use to count the GHG emission. These also become an Inventory data for researchers of regional science in Indonesia, however, geography and socioeconomic conditions in every region is different, so that some criteria will be applied. Second, found total GHG emission in Kupang is $1.0164mathrm{x} 10^{-3}$ Gt or around 0.047% compared to total GHG emission by 2010 and 0.034% compared to total GHG emission by 2020 in Indonesia. The study suggests to government consider a proper method in decide a reliable environmental policy and technical measures to reach GHG emission targets by 2020. Third, total share of CO2e in Indonesia emitted from Kupang for GWP 20 years and 100 years respectively were came out as follow.
机译:库邦市发展迅速,位于澳大利亚和东帝汶之间的战略位置。温室气体排放量的急剧增加以及环境污染,水,空气的污染以及废物处置方法的不当对全球环境造成了后果。该市政府的雄心壮志是评估经济活动对温室气体(GHG)排放贡献的影响。本文概述了在库邦及其结构中对温室气体排放有重大贡献的污染物部门,并计算了27个经济部门的估计排放系数。关于间接系数污染物排放的更深入的解释,不仅有利于排放量的计算,而且更有利于LCA的清单数据。本文研究了一些优先行业的发展趋势,然后介绍了污染物行业的间接系数,并给出了古邦的污染物排放结构。此后,还计算并确认了根据BAU估算的库邦温室气体排放量。本文仅考虑温室气体排放问题,而空气污染物排放仅作为清单数据提供,而不会用作本文的外部数据。在最后一部分中,对古邦的温室气体排放政策进行了简要的解释和启示。提供了有关单个过程的详细输入/输出数据,包括与古邦市经济活动有关的所有过程或行业组。全球变暖潜势(GWP)的时间段为20年和100年,用来预测到2020年与2010年相比,库邦和印度尼西亚的温室气体排放总量在总量中所占的份额。首先,结果是,全球27个行业的温室气体排放和空气污染物系数NIES提出了基于方法的库邦,用于计算温室气​​体排放量。这些也成为印度尼西亚区域科学研究人员的清单数据,但是,每个地区的地理和社会经济状况都不尽相同,因此将应用某些标准。其次,在库邦发现的总温室气体排放量为$ 1.0164 \\ mathrm {x} 10 ^ {-3} $ Gt,与2010年相比占总温室气体排放量的0.047%,与2020年印尼相比占温室气体总排放量的0.034%。这项研究建议政府考虑一种适当的方法,以决定可靠的环境政策和技术措施,以在2020年之前实现温室气体排放目标。第三,CO2的总份额\ n 2 \ ne在印度尼西亚从古邦发射,全球升温潜能值20年和100年分别如下。

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