Percorrer por autor "Song, Jing"
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- Global microplastic fiber pollution from domestic laundryPublication . Wang, Chunhui; Song, Jing; Nunes, Luís; Zhao, Hongting; Wang, Peng; Liang, Zhirong; Arp, Hans Peter H.; Li, Gang; Xing, BaoshanThe rapid expansion of fast fashion has significantly increased microplastic fiber (MPF) release during laundry practices, accounting for approximately one-third of primary microplastics entering the ocean. Currently, a significant gap exists in global-scale research on the release of MPFs from washing textiles. This study introduces an innovative empirical model to assess the spatial distribution of MPF emissions. The model estimates an annual global emission of 5.69 million tons of MPFs from laundry. Of this total, machine washing accounts for the majority (93.7 %), with hand washing contributing the remaining 6.3 %. As the primary source of MPF pollution, Asia's ' s emissions reach 3.71 million tons, far exceeding those of North America (1.18 million tons) and Europe (0.45 million tons). The primary issue is that wastewater management efficiency varies significantly worldwide. In Asia, there is persistently high discharge of MPFs into natural waters, and the removal efficiency of wastewater treatment plants is still comparatively low. In contrast, the United States and many European countries exhibit better MPF retention. The global nature of this challenge mandates international collaboration for comprehensive environmental conservation. Our study provides the first high-resolution global distribution map of MPF emissions and discharge into natural waters, establishing a data foundation for global and regional management of microplastics originating from household laundry sources.
- The historical distribution and future expansion of paddy rice fields in Asian highlandsPublication . Song, Jing; Wang, Chunhui; Nunes, Luís; Liang, Zhongyao; Li, GangUrbanization and population growth are shrinking lowland rice areas, compelling exploration of Asia’s under studied highlands for future food security. Using earth observation data from 2000 to 2020 and machine learning method, we analyzed the distribution of paddy (irrigated) rice fields and their driving factors in Asian highlands (>1000 ma.s.l.). Highlands currently host 1.489 ± 0.176 millionha of rice, concentrated in the Tianshan–Tarim Basin, Hetao Plain along the Yellow River, and Yunnan–Guizhou Plateau. Altitude is the dominant constraint; additional precipitation is associated with reduced rice extent in the highlands, whereas population density and economic growth are associated with expansion. Our scenario modelling projects ~60% expansion and northward shift of high altitude paddies by 2035, yielding more nutrient rich, low contaminant grain and aiding saline–alkali reclamation. These findings highlight substantial, climate resilient capacity in Asian uplands to bolster sustainable rice supply and regional food security. This integrated assessment fills a critical knowledge gap regarding high elevation agroecosystems.
- Microplastic distribution and risk assessment in soil environment across Asian regionsPublication . Rehman, Zia Ur; Song, Jing; Wang, Chunhui; Nunes, Luís; Kazmi, Syed Shabi Ul Hassan; Azeem, Muhammad; Fu, Linxuan; Zhang, Yu; Li, GangPlastic pollution has emerged as a growing global environmental problem in recent years. As a major region for plastic production and consumption, Asia is at the forefront of this challenge. Although multiple studies have focused on microplastic (MP) pollution in aquatic systems in the region, understanding of their distribution characteristics and ecological impacts in terrestrial ecosystems remains limited, particularly at an intercontinental scale. In addition, standardized ecological risk assessment methods and predictive frameworks for soil microplastics (MPs) remain lacking. This study investigated the spatiotemporal distribution of MP pollution in Asian countries, focusing on the differences between various regions in terms of quantity density, morphological characteristics (shape, size, and color), and land-use types. By integrating data from 128 studies published between 2018 and 2025, totaling 3370 sampling points, a comprehensive database was constructed to reveal the MP distribution patterns and potential risks. The analysis found significant spatial heterogeneity in Asian regions, with higher concentrations found in South Eastern Asia (8227.55 items/kg), Eastern Asia (3122.73 items/kg), and Southern Asia (2407.07 items/kg). The highest quantity densities of MPs were found in industrial and urban soils (4995.2 and 4359.6 items/kg), followed by agricultural soils (2812.8 items/kg), shedding light on the influence of intensive human activities and plastic inputs. In terms of morphological characteristics, fragments, fibers, and films shaped MPs predominated in most soils, with white, transparent, and black particles being the most common. Moreover, the analysis suggested possible vertical migration and gradual accumulation of MPs within soil profiles. Based on spatial distribution and morphological characteristics, this study evaluated the ecological risk using pollution load index and potential ecological risk index suggesting that certain regions may exhibit comparatively higher reported risk levels under the present assessment framework, particularly in Viet Nam, Indonesia, India, Iran, Bangladesh, and China, based on the currently available dataset. Lastly, machine learning models were applied for preliminary classification of soil MP ecological risk levels, with the random forest model showing the highest accuracy (99.5%), followed by GBDT (98.6%) and KNN (88.4%). This study provides spatial evidence for risk-oriented and predictive assessment of soil MP pollution across Asia and offers data support for future management and policy interventions.