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Climate warming will alter the impact of microplastics on the bioavailability of arsenic in a subtropical estuary SCIE
期刊论文 | 2025 , 489 | JOURNAL OF HAZARDOUS MATERIALS
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The coupling of climate warming and microplastics may affect the dynamics of arsenic bioavailability in estuarine sediments, but the specific processes and regulatory mechanisms of this phenomenon remain poorly investigated. In this study, a typical subtropical estuary- Min River estuary was selected to explore the dynamics pattern, composition characteristics and regulatory mechanism of arsenic bioavailability in sediments under the coupled influence of climate warming and microplastics (type and dose) through incubation experiments by utilizing DGT techniques. The results showed that the high-dose PLA-MPs significantly enhanced the arsenic bioavailability after warming, while low-dose PET-MPs inhibited the effect. High-dose PET-MPs and low-dose PLA-MPs significantly promoted the oxidation of arsenic (III) after warming, while low-dose PET-MPs and high-dose PLA-MPs inhibited the effect. The interaction of temperature, type and dose of MPs significantly affected arsenic bioavailability. The abundances of Bacteroidota decreased, while the abundances of Chloroflexi and Desulfobacterota increased significantly after warming. The correlation between microorganisms and the bioAs was decreased by warming. These findings provide valuable insight for understanding the complex interplay of climate warming and MPs on As-contaminated estuary.

Keyword :

Bioavailable arsenic (bio-As) Bioavailable arsenic (bio-As) Climate warming Climate warming Estuarine sediment Estuarine sediment Microplastics Microplastics Regulatory mechanism Regulatory mechanism

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GB/T 7714 Zeng, Yue , Jiang, Yajie , Li, Yunqin et al. Climate warming will alter the impact of microplastics on the bioavailability of arsenic in a subtropical estuary [J]. | JOURNAL OF HAZARDOUS MATERIALS , 2025 , 489 .
MLA Zeng, Yue et al. "Climate warming will alter the impact of microplastics on the bioavailability of arsenic in a subtropical estuary" . | JOURNAL OF HAZARDOUS MATERIALS 489 (2025) .
APA Zeng, Yue , Jiang, Yajie , Li, Yunqin , Xu, Xiang , Yu, Wei , Yu, Rong . Climate warming will alter the impact of microplastics on the bioavailability of arsenic in a subtropical estuary . | JOURNAL OF HAZARDOUS MATERIALS , 2025 , 489 .
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Analysis of driving factors for potential toxic metals in major urban soils of China: a geodetetor-based quantitative study SCIE
期刊论文 | 2024 , 46 (10) | ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
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Potential toxic metal (PTM) is hazardous to human health, but the mechanism of spatial heterogeneity of PTM at a macro-scale remains unclear. This study conducts a meta-analysis on the data of PTM concentrations in the soil of 164 major cities in China from 2006 to 2021. It utilizes spatial analysis methods and geodetector to investigate the spatial distribution characteristics of PTMs. The geographic information systems (GIS) and geodetector were used to investigate the spatial distribution characteristics of PTMs, assess the influence of natural factors (NFs) and anthropogenic factors (AFs) on the spatial heterogeneity of PTMs in urban soils, and identified the potential pollution areas of PTMs. The results indicated that the pollution levels of PTMs in urban soils varied significantly across China, with higher pollution levels in the south than in the north. Cd and Hg were the most severely contaminated elements. The geodetector analysis showed that temperature and precipitation in NFs and land use type in AFs were considered as the main influencing factors, and that both AF and NF together led to the PTM variation. All these factors showed a mutually enhancing pattern which has important implications for urban soil management. PTM high-risk areas were identified to provide early warning of pollution risk under the condition of climate change.

Keyword :

Geodetector Geodetector High-risk areas High-risk areas Influencing factors Influencing factors Potential toxic metal Potential toxic metal Urban soil Urban soil

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GB/T 7714 Zeng, Yue , Liu, Xinyu , Li, Yunqin et al. Analysis of driving factors for potential toxic metals in major urban soils of China: a geodetetor-based quantitative study [J]. | ENVIRONMENTAL GEOCHEMISTRY AND HEALTH , 2024 , 46 (10) .
MLA Zeng, Yue et al. "Analysis of driving factors for potential toxic metals in major urban soils of China: a geodetetor-based quantitative study" . | ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 46 . 10 (2024) .
APA Zeng, Yue , Liu, Xinyu , Li, Yunqin , Jin, Zhifan , Shui, Wei , Wang, Qianfeng . Analysis of driving factors for potential toxic metals in major urban soils of China: a geodetetor-based quantitative study . | ENVIRONMENTAL GEOCHEMISTRY AND HEALTH , 2024 , 46 (10) .
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Early warning of urban heavy metal pollution based on PMF- MeteoInfo model combined with physicochemical properties of dust SCIE
期刊论文 | 2024 , 38 (4) , 1541-1556 | STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
WoS CC Cited Count: 1
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Heavy metals in dust have been found to be a significant threat to human health, but how dust sources and physicochemical properties influence the distribution of heavy metals has not been fully investigated. Fuzhou, a Chinese subtropical city, was chosen as a case in this study. We collected 51 dust samples from open spaces, in order to serve as an early warning system for heavy metals in urban dust, the risk level of heavy metal pollution was assessed, the physicochemical properties of dust were analyzed, and the sources of heavy metals were examined using a combination of positive matrix factorization (PMF) and backward trajectory model (MeteoInfo). The results showed that the average concentrations of heavy metals were Zn > Pb > Cr > Cu > Ni > As > Cd, with Cd having the highest ecological risk level. All heavy metals are positively correlated, the higher the organic matter and the larger the particle size, the higher the heavy metal concentration. The higher the water content, the higher the Ni and Cu content. The sources of heavy metals in dust are complex and include local anthropogenic sources: traffic, architectural paint, combustion, and mixed sources, as well as the impact of atmospheric motion on dust from northern cities in Fuzhou City and Zhejiang Province. Our study provides a valuable point of reference for early warning of urban heavy metal.

Keyword :

Dust Dust Early warning Early warning Heavy metals Heavy metals MeteoInfo MeteoInfo Physicochemical properties Physicochemical properties PMF PMF

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GB/T 7714 Zeng, Yue , Jiang, Yajie , Li, Yunqin et al. Early warning of urban heavy metal pollution based on PMF- MeteoInfo model combined with physicochemical properties of dust [J]. | STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , 2024 , 38 (4) : 1541-1556 .
MLA Zeng, Yue et al. "Early warning of urban heavy metal pollution based on PMF- MeteoInfo model combined with physicochemical properties of dust" . | STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 38 . 4 (2024) : 1541-1556 .
APA Zeng, Yue , Jiang, Yajie , Li, Yunqin , Xu, Xiang , Zhang, Xinying , Yu, Wei et al. Early warning of urban heavy metal pollution based on PMF- MeteoInfo model combined with physicochemical properties of dust . | STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , 2024 , 38 (4) , 1541-1556 .
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Spatial patterns of PM2.5-bound heavy metals and analysis of their influencing factors in China SCIE
期刊论文 | 2023 , 44 | ANTHROPOCENE
WoS CC Cited Count: 1
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This study investigates the relationship between the spatial distribution patterns of heavy metals (HMs) in atmospheric fine particulate matter (PM2.5) and their influencing factors in China, in order to address air pollution problems. Using HM data from PM2.5 collected from 88 Chinese cities between 2012 and 2020, the study employed a combination of enrichment factor (EF) analysis, standard deviation ellipses and hot spot analysis to assess spatial distribution patterns; geographical detectors to identify influencing factors; and hybrid singleparticle Lagrangian integrated trajectory models (HYSPLIT) to determine air mass movement. The results reveal that the spatial distribution of PM2.5-bound HMs in China is characterized by high levels in the north and interior and low levels in the south and along the coast. Anthropogenic activities affect HM levels in China's interior more strongly than on the coast. Moreover, the distribution of PM2.5-bound HMs in China exhibits a northeast-southwest spatial pattern, with significantly higher levels observed in central and northern regions than in eastern regions, particularly along the coast. Industrial waste emissions and energy consumption are key factors contributing to high PM2.5-bound HMs. In central China, the summer air mass movement predominantly follows a southeast direction, while in winter, it follows a northwest direction, originating from inland. In contrast, in eastern China, summer air mass movement predominantly follows a southeast direction, while in winter, it follows a northeast direction, originating from the ocean. Overall, our findings suggest that HMs in PM2.5 display high clustering values in central China, due primarily to industrial waste emissions, energy consumption, and air mass movement.

Keyword :

Geographical detector Geographical detector Heavy metal Heavy metal HYSPLIT Model HYSPLIT Model Influencing factors Influencing factors PM2.5 PM2.5 Spatial patterns Spatial patterns

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GB/T 7714 Zeng, Yue , Ning, Xiannan , Li, Yunqin et al. Spatial patterns of PM2.5-bound heavy metals and analysis of their influencing factors in China [J]. | ANTHROPOCENE , 2023 , 44 .
MLA Zeng, Yue et al. "Spatial patterns of PM2.5-bound heavy metals and analysis of their influencing factors in China" . | ANTHROPOCENE 44 (2023) .
APA Zeng, Yue , Ning, Xiannan , Li, Yunqin , Wang, Qianfeng , Zhang, Xinying . Spatial patterns of PM2.5-bound heavy metals and analysis of their influencing factors in China . | ANTHROPOCENE , 2023 , 44 .
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典型抗生素甲氧苄啶影响下缺氧反硝化脱氮除碳效能的研究 CSCD PKU
期刊论文 | 2022 , 42 (09) , 129-133 | 现代化工
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以实际废水和活性污泥为研究对象,通过构建的序批式好氧-缺氧反应器探究不同质量浓度抗生素甲氧苄啶(TMP)对硝化与反硝化过程的影响。结果表明,低质量浓度(如1.0 mg/L)TMP对除碳、脱氮过程无明显影响,而TMP质量浓度超过2.0 mg/L时,降低了碳源消耗及脱氮性能。当进水TMP质量浓度为8.0 mg/L时,稳定时期COD和NH~+_4-N去除率分别为71.6%~76.5%和75.6%~76.2%,远低于对照组。高质量浓度TMP降低了NH~+_4-N氧化、NO~-_2-N氧化及NO~-_3-N反硝化,提高了NO~-_2-N的积累并且积累量高达6.5 mg/L,远高于对照组。低质量浓度TMP...

Keyword :

反硝化 反硝化 好氧-缺氧反应器 好氧-缺氧反应器 甲氧苄啶 甲氧苄啶 硝化 硝化 酶活性 酶活性

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GB/T 7714 李云琴 , 曾悦 . 典型抗生素甲氧苄啶影响下缺氧反硝化脱氮除碳效能的研究 [J]. | 现代化工 , 2022 , 42 (09) : 129-133 .
MLA 李云琴 et al. "典型抗生素甲氧苄啶影响下缺氧反硝化脱氮除碳效能的研究" . | 现代化工 42 . 09 (2022) : 129-133 .
APA 李云琴 , 曾悦 . 典型抗生素甲氧苄啶影响下缺氧反硝化脱氮除碳效能的研究 . | 现代化工 , 2022 , 42 (09) , 129-133 .
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环境介质中铂族金属形态分析方法的研究进展 CSCD PKU
期刊论文 | 2022 , 33 (12) , 3448-3456 | 应用生态学报
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环境中铂族金属(PGMs)的赋存形态多样,形态分析对识别其生态风险具有十分重要的意义.本文综述了环境中3种主要铂族金属(铂、钯、铑)的形态分析方法,包括化学顺序提取、仪器联用技术及计算机模拟等,概述了这些方法的类型、特点及应用,同时阐述了它们存在的不足,并对未来发展方向进行了展望.化学顺序提取法普遍用于固相样品形态分析,当前研究中提出的提取条件和步骤多样,但不能很好地标准化;仪器联用技术在溶液元素形态分析上具有显著优势,毛细管电泳联用系统能够分离具有相同电泳能力的相似物质,但在分离能力和检出限方面不如液相色谱联用系统;计算机模拟则进一步拓展了形态分析的途径,能够实现复杂的形态计算.建议今后将多个方法进行结合,通过相互补充与完善,不断提高分析技术准确性.

Keyword :

化学顺序提取 化学顺序提取 形态分析 形态分析 联用技术 联用技术 计算机模拟 计算机模拟 铂族金属 铂族金属

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GB/T 7714 刘战明 , 曾悦 , 李云琴 et al. 环境介质中铂族金属形态分析方法的研究进展 [J]. | 应用生态学报 , 2022 , 33 (12) : 3448-3456 .
MLA 刘战明 et al. "环境介质中铂族金属形态分析方法的研究进展" . | 应用生态学报 33 . 12 (2022) : 3448-3456 .
APA 刘战明 , 曾悦 , 李云琴 , 穆景利 , 吴名秀 , 曹文珍 . 环境介质中铂族金属形态分析方法的研究进展 . | 应用生态学报 , 2022 , 33 (12) , 3448-3456 .
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Original karst tiankeng with underground virgin forest as an inaccessible refugia originated from a degraded surface flora in Yunnan, China SCIE
期刊论文 | 2022 , 12 (1) | SCIENTIFIC REPORTS
WoS CC Cited Count: 8
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Karst tiankengs are rare natural habitats, having a local microclimate different from surrounding regions. A contrast study on plant communities at the inside and outside of the primitive tiankeng was carried out by performing the qualitative analysis of species compositions of arborous and shrub layers. We found that plant communities in the primitive tiankeng belong to the subtropical moist evergreen broad-leaf forest, whereas those outside the tiankeng belong to subtropical semi-moist needle-broadleaved mixed forest. Trapped habitat of primitive karst tiankeng protects the plant communities significantly different from those in external karst ecosystems, so karst tiankeng has the great value in the plant species protection. Although the trapped habitat decreases plant species abundance inside tiankeng to some extent, highly diverse shrub species are present in the inside-tiankeng plant communities, and the primitive karst tiankeng plays an important role in the plant diversity protection. The primitive karst tiankeng is an important refugia for plant not only as a plant species protection library, but a plant diversity protection library. When implementing measures for the reduction of damages to biodiversity due to global climate changes and human activities, more attention should be paid to the primitive karst tiankeng as a small ecological refugia and biodiversity protection library.

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GB/T 7714 Shui, Wei , Chen, Yiping , Jian, Xiaomei et al. Original karst tiankeng with underground virgin forest as an inaccessible refugia originated from a degraded surface flora in Yunnan, China [J]. | SCIENTIFIC REPORTS , 2022 , 12 (1) .
MLA Shui, Wei et al. "Original karst tiankeng with underground virgin forest as an inaccessible refugia originated from a degraded surface flora in Yunnan, China" . | SCIENTIFIC REPORTS 12 . 1 (2022) .
APA Shui, Wei , Chen, Yiping , Jian, Xiaomei , Jiang, Cong , Wang, Qianfeng , Zeng, Yue et al. Original karst tiankeng with underground virgin forest as an inaccessible refugia originated from a degraded surface flora in Yunnan, China . | SCIENTIFIC REPORTS , 2022 , 12 (1) .
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Accumulation and health implications of metals in topsoil of an urban riparian zone adjacent to different functional areas in a subtropical city SCIE
期刊论文 | 2021 , 50 (3) , 744-755 | JOURNAL OF ENVIRONMENTAL QUALITY
WoS CC Cited Count: 3
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The riparian zone is a river-land ecotone, and its environmental conditions have a significant effect on the river ecosystem and population health. In this study, As, Cu, Cr, Cd, Mn, Fe, Ni, Pb, and Zn in the topsoils of urban riparian zones in a subtropical city in southeast China were quantitatively estimated by inductively coupled plasma-optical emission spectrometry. The geoaccumulation index and health risk evaluation model were adopted to assess the accumulation characteristic and health risk of residents' exposure to metals. Principle component analysis was used to determine the source of metals. The results showed that the mean contents of metals (except Fe) were higher than the soil background value, but none of the metal contents exceeded the mass limit of environmental quality standards. The order of the geoaccumulation index was Cd > Mn > Cu > Cr > Pb > Zn > As > Ni > Fe. The contamination level of Cd was classified as slight, whereas the other metals did not contribute to pollution. The spatial distribution of metals in the riparian zone was compatible with the pattern of functional zones in the adjacent urban areas, where levels of Cr, Cd, Fe, Mn, and Ni were higher in commercial areas, as were Pb and Zn in under-construction land and As in residential and industrial areas. Carcinogenic risks of Cr, As, and Pb were acceptable. The hazard index indicated no significant noncarcinogenic risks from any metals. However, noncarcinogenic risks of metals other than Mn were higher for children than for adults, and the primary exposure route of metal into the human body was ingestion for children and inhalation for adults. Principle component analysis indicated that the primary sources of Cr, Ni, Mn, Cu, and Fe were pedogenic processes and mineral weathering, whereas Zn, As, Pb, and Cd mainly originated from anthropogenic sources, specifically, Zn from transportation emission, Pb from transportation emission and industry waste, As from coal combustion and residential waste, and Cd from pigments/paint used in commercial buildings, urban greening, consumer waste, and transportation emission.

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GB/T 7714 Zeng, Yue , Liu, Jian , Li, Yunqin et al. Accumulation and health implications of metals in topsoil of an urban riparian zone adjacent to different functional areas in a subtropical city [J]. | JOURNAL OF ENVIRONMENTAL QUALITY , 2021 , 50 (3) : 744-755 .
MLA Zeng, Yue et al. "Accumulation and health implications of metals in topsoil of an urban riparian zone adjacent to different functional areas in a subtropical city" . | JOURNAL OF ENVIRONMENTAL QUALITY 50 . 3 (2021) : 744-755 .
APA Zeng, Yue , Liu, Jian , Li, Yunqin , Wang, Qianfeng , Liu, Zhanming , Zeng, Jingyu . Accumulation and health implications of metals in topsoil of an urban riparian zone adjacent to different functional areas in a subtropical city . | JOURNAL OF ENVIRONMENTAL QUALITY , 2021 , 50 (3) , 744-755 .
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A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018 SCIE
期刊论文 | 2021 , 13 (2) , 331-341 | EARTH SYSTEM SCIENCE DATA
WoS CC Cited Count: 123
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The monthly standardized precipitation evapotranspiration index (SPEI) can be used to monitor and assess drought characteristics with 1-month or longer drought duration. Based on data from 1961 to 2018 at 427 meteorological stations across mainland China, we developed a daily SPEI dataset to overcome the shortcoming of the coarse temporal scale of monthly SPEI. Our dataset not only can be used to identify the start and end dates of drought events, but also can be used to investigate the meteorological, agricultural, hydrological, and socioeconomic droughts with a different timescales. In the present study, the SPEI data with 3-month (about 90 d) timescale were taken as a demonstration example to analyze spatial distribution and temporal changes in drought conditions for mainland China. The SPEI data with a 3-month (about 90 d) timescale showed no obvious intensifying trends in terms of severity, duration, and frequency of drought events from 1961 to 2018. Our drought dataset serves as a unique resource with daily resolution to a variety of research communities including meteorology, geography, and natural hazard studies. The daily SPEI dataset developed is free, open, and publicly available from this study. The dataset with daily SPEI is publicly available via the figshare portal (Wang et al., 2020c), with https://doi.org/10.6084/m9.figshare.12568280.

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GB/T 7714 Wang, Qianfeng , Zeng, Jingyu , Qi, Junyu et al. A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018 [J]. | EARTH SYSTEM SCIENCE DATA , 2021 , 13 (2) : 331-341 .
MLA Wang, Qianfeng et al. "A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018" . | EARTH SYSTEM SCIENCE DATA 13 . 2 (2021) : 331-341 .
APA Wang, Qianfeng , Zeng, Jingyu , Qi, Junyu , Zhang, Xuesong , Zeng, Yue , Shui, Wei et al. A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018 . | EARTH SYSTEM SCIENCE DATA , 2021 , 13 (2) , 331-341 .
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A modified flexible spatiotemporal data fusion model SCIE CSCD
期刊论文 | 2020 , 14 (3) , 601-614 | FRONTIERS OF EARTH SCIENCE
WoS CC Cited Count: 16
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Remote sensing spatiotemporal fusion models blend multi-source images of different spatial resolutions to create synthetic images with high resolution and frequency, contributing to time series research where high quality observations are not available with sufficient frequency. However, existing models are vulnerable to spatial heterogeneity and land cover changes, which are frequent in human-dominated regions. To obtain quality time series of satellite images in a human-dominated region, this study developed the Modified Flexible Spatial-temporal Data Fusion (MFSDAF) approach based on the Flexible Spatial-temporal Data Fusion (FSDAF) model by using the enhanced linear regression (ELR). Multiple experiments of various land cover change scenarios were conducted based on both actual and simulated satellite images, respectively. The proposed MFSDAF model was validated by using the correlation coefficient (r), relative root mean square error (RRMSE), and structural similarity (SSIM), and was then compared with the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) and FSDAF models. Results show that in the presence of significant land cover change, MFSDAF showed a maximum increase in r, RRMSE, and SSIM of 0.0313, 0.0109 and 0.049, respectively, compared to FSDAF, while ESTARFM performed best with less temporal difference of in the input images. In conditions of stable landscape changes, the three performance statistics indicated a small advantage of MFSDAF over FSDAF, but were 0.0286, 0.0102, 0.0317 higher than for ESTARFM, respectively. MFSDAF showed greater accuracy of capturing subtle changes and created high-precision images from both actual and simulated satellite images.

Keyword :

enhanced linear regression enhanced linear regression heterogeneous heterogeneous land cover change land cover change MFSDAF MFSDAF time-series time-series

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GB/T 7714 Tang, Jia , Zeng, Jingyu , Zhang, Li et al. A modified flexible spatiotemporal data fusion model [J]. | FRONTIERS OF EARTH SCIENCE , 2020 , 14 (3) : 601-614 .
MLA Tang, Jia et al. "A modified flexible spatiotemporal data fusion model" . | FRONTIERS OF EARTH SCIENCE 14 . 3 (2020) : 601-614 .
APA Tang, Jia , Zeng, Jingyu , Zhang, Li , Zhang, Rongrong , Li, Jinghan , Li, Xingrong et al. A modified flexible spatiotemporal data fusion model . | FRONTIERS OF EARTH SCIENCE , 2020 , 14 (3) , 601-614 .
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