Tracing surface water pollution in China’s supply chain

IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Journal of Hydrology Pub Date : 2023-09-01 DOI:10.1016/j.jhydrol.2023.129960
Siao Sun , Megan Konar , Qiuhong Tang , Guangtao Fu , Chuanglin Fang , Jing Wang , Yong Ni , Ting Ma
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Abstract

Decades of economic growth in China were enabled by rapid industrialization with insufficient water quality controls. Previous studies have traced water pollution discharges or grey water footprint using the multi-regional input–output (MRIO) model. However, there is a research gap in understanding the relation between surface water pollutant concentrations and final consumption of local and external basins. Here, we present the first national analysis to map surface water quality degradation in watersheds embedded in China’s supply chains. To do this, we developed a basin-specific relationship between surface water pollution concentration and discharge, and combined it with the MRIO model to trace the water pollution of different basins through the trade of products and services. We find that ∼50% chemical oxygen demand (COD) and ∼46% ammonium nitrogen (NH4+-N) discharges from production processes can be traced to consumer demands beyond the basin where the pollution was initially released. 0.3–2.2 mg/L COD and 0.03–0.31 mg/L NH4+-N water quality degradation (the range indicates pollution concentration in different basins) can be attributed to final consumption of commodities from other basins in China. International consumers contributed to increased degradation of water quality (0.43 mg/L COD in Huai River Basin and 0.07 mg/L NH4+-N in Hai River Basin). High pollution concentrations were often concentrated in dry North China, because water scarce basins in this region are more susceptible to human pollution loadings. Basins outsourcing water pollution were mainly developed economies that outsourced production and subsequent water quality impairments to other basins. This study highlights the interactions between water quality and supply chains.

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追踪中国供应链的地表水污染
中国几十年的经济增长是由快速的工业化和不完善的水质控制推动的。以前的研究使用多区域投入产出(MRIO)模型追踪水污染排放或灰水足迹。然而,对于地表水污染物浓度与本地和外部流域最终消费量之间的关系,研究还存在空白。在此,我们首次对中国供应链流域的地表水质量退化进行了全国性分析。为此,我们建立了地表水污染浓度与排放之间的流域特异性关系,并将其与MRIO模型相结合,通过产品和服务贸易追踪不同流域的水污染。我们发现,生产过程中约50%的化学需氧量(COD)和约46%的铵态氮(NH4+-N)排放可以追溯到污染最初释放的流域以外的消费者需求。中国的COD在0.3 ~ 2.2 mg/L之间,NH4+-N在0.03 ~ 0.31 mg/L之间(其范围表示不同流域的污染浓度)的水质退化可归因于对其他流域商品的最终消费。国际消费者加剧了水质的退化(淮河流域COD为0.43 mg/L,海河流域NH4+-N为0.07 mg/L)。高污染浓度往往集中在干旱的华北地区,因为该地区的缺水盆地更容易受到人为污染负荷的影响。外包水污染的流域主要是发达经济体,它们将生产和随后的水质损害外包给其他流域。本研究强调了水质与供应链之间的相互作用。
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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