首頁(yè) 資訊 中國(guó)生命周期影響評(píng)估中環(huán)境 PM2.5 健康損害的本土化特征因子

中國(guó)生命周期影響評(píng)估中環(huán)境 PM2.5 健康損害的本土化特征因子

來(lái)源:泰然健康網(wǎng) 時(shí)間:2024年12月03日 15:41

Qiao Ma, Renxiao Yuan, Shan Wang, Yuchen Sun, Qianqian Zhang, Xueliang Yuan, Qingsong Wang, Congwei Luo

摘要

生命周期評(píng)估(LCA)是一種廣泛使用的量化環(huán)境影響的方法,而生命周期影響評(píng)估(LCIA)是生命周期評(píng)估的重要步驟,也是不確定性的主要來(lái)源。表征因子(CF)是 LCIA 模型中的關(guān)鍵要素。在中國(guó),環(huán)境 PM2.5 導(dǎo)致的健康損失是 LCIA 結(jié)果的一個(gè)重要方面,但一般采用全球模型開(kāi)發(fā)的特征因子進(jìn)行評(píng)估,因此仍需結(jié)合本地化考慮因素和最新信息,以便在中國(guó)進(jìn)行更精確的應(yīng)用。在本研究中,我們將大氣化學(xué)傳輸模型 GEOS-Chem、包含中國(guó)隊(duì)列研究的暴露-反應(yīng)模型 GEMM 和最新的本地?cái)?shù)據(jù)結(jié)合起來(lái),開(kāi)發(fā)了中國(guó)環(huán)境 PM2.5 健康損害 LCIA 的本地化 CFs。結(jié)果表明,中國(guó)四種主要 PM2.5 前體物的 CFs 均表現(xiàn)出顯著的區(qū)域間差異和月度差異。與目前使用的CFs相比,我們的結(jié)果普遍高出一個(gè)數(shù)量級(jí),并且顯示出不同的空間分布,這表明在中國(guó),環(huán)境PM2.5造成的健康損害在LCIA中被低估了,為了在LCIA和LCA研究中獲得更準(zhǔn)確的結(jié)果,需要采用本土化的CFs。

本文章由計(jì)算機(jī)程序翻譯,如有差異,請(qǐng)以英文原文為準(zhǔn)。

摘要圖片

Indigenized Characterization Factors for Health Damage Due to Ambient PM2.5 in Life Cycle Impact Assessment in China

Life cycle assessment (LCA) is a broadly used method for quantifying environmental impacts, and life cycle impact assessment (LCIA) is an important step as well as a major source of uncertainties in LCA. Characterization factors (CFs) are pivotal elements in LCIA models. In China, the health loss due to ambient PM2.5 is an important aspect of LCIA results, which, however, is generally assessed by adopting CFs developed by global models and there remains a need to integrate localized considerations and the latest information for more precise applications in China. In this study, we developed indigenized CFs for LCIA of health damage due to ambient PM2.5 in China by coupling the atmospheric chemical transport model GEOS-Chem, exposure–response model GEMM containing Chinese cohort studies, and the latest local data. Results show that CFs of four major PM2.5 precursors all exhibit significant interregional variation and monthly differences in China. Our results were generally an order of magnitude higher and show disparate spatial distribution compared to CFs currently in use, suggesting that the health damage due to ambient PM2.5 was underestimated in LCIA in China, and indigenized CFs need to be adopted for more accurate results in LCIA and LCA studies.

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