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Progress in the production of hydrogen energy from food waste: A bibliometric analysis 期刊论文
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2022, 卷号: 47, 期号: 62, 页码: 26326-26354
作者:  Sridhar, Adithya;  Ponnuchamy, Muthamilselvi;  Kumar, Ponnusamy Senthil;  Kapoor, Ashish;  Xiao, Leilei
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Bibliometric analysis  Food waste  Hydrogen energy  Research trends  Sustainability  
Molecularly imprinted polymer-based potentiometric sensors 期刊论文
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2020, 卷号: 130, 页码: 15
作者:  Wang, Junhao;  Liang, Rongning;  Qin, Wei
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Molecularly imprinted polymer  Polymeric membrane potentiometric sensor  Organic molecules  Biological species  Recent advances  Research directions  
长期生态学研究为滨海湿地保护提供科技支撑 期刊论文
中国科学院院刊, 2020, 卷号: 35, 期号: 2, 页码: 218-228
作者:  韩广轩;  宋维民;  李培广;  王晓杰;  王光美;  初小静
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滨海湿地生态系统  长期定位监测研究  碳汇功能  水盐运移  生态修复  Coastal Wetland Ecosystem  Long-term Monitoring Research  Carbon Sink  Water And Salt Migration  Ecological Restoration  
入侵植物互花米草的资源化利用研究进展 期刊论文
中国生态农业学报(中英文), 2019, 卷号: 27, 期号: 12, 页码: 1870-1879
作者:  谢宝华, 路峰, 韩广轩
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入侵植物  互花米草  资源化利用  秸秆资源  药用价值  耐盐基因  Invasive plant  Spartina alterniflora  Resource utilization  Straw resource  Medicinal value  Salt tolerant gene  In China, Spartina alterniflora, an invasive alien plant species, covers an area of approximately 54 600 hectares. The total dry matter of the aboveground part of S. alterniflora is 7.5*10~5~1.15*10~6 tons per year. The control and utilization of S. alterniflora have received increasing attention. A combined utilization and control approach could produce simultaneous economic and ecological benefits. Studies of the utilization of S. alterniflora in China tended to focus on the direct utilization of straw, including its use as fuel, feed, and raw material. These methods of utilization were generally low-value. Possible high-value utilization includes the medicinal value of S. alterniflora and its salt-tolerant genes. In all the studies, the largest proportion (43%) of straw was utilized as fuel, whereas the smallest proportion (approximately 8%) was utilized for other purposes, such as fertilizer and for its salt-tolerant genes. Previous studies have focused on utilization technologies, but they have not looked at S. alterniflora collection technology and market promotion. In the future, attention should be paid to every link of the industry chain of S. alterniflora utilization, and cooperation between research institutions and enterprises is essential for the synchronous development of industry, education, and research.  
黄海桑沟湾水体及沉积物中微塑料污染特征研究 期刊论文
海洋环境科学, 2019, 卷号: 38, 期号: 2, 页码: 198-204
作者:  熊宽旭;  赵新月;  周倩;  付传城;  涂晨;  李连祯;  骆永明
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桑沟湾  微塑料  潮滩  丰度  空间分布  Sanggou bay  microplastics  tidal flats  abundance  spatial distribution  In recent years,research on microplastics pollution in the marine environment has been increasing,but studies on microplastics in water bodies and sediments of the bay under the influence of high-intensity human activities are still rarely reported. In this study,the pollution characteristics of microplastics in the wayer and sediments of Sanggou bay were investigated in December 2017,after the harvest of large-scale aquaculture,with the aim to study the effects of aquaculture activities and hydrodynamics on pollution characteristics and spatial distribution of microplastics in the bay. The results showed that the types of microplastics in the water and sediments of Sanggou bay were mainly fibers,fragments,films,foams and particles. The microplastic abundances in the water and sediments were 1.8 ~ 31.2 N/L,31.2 ~ 1246.8 N/kg,respectively. The average particle sizes of microplastics in water and sediments were 0.51 0.20 mm and 1.54 1.02 mm,respectively. The results of spatial distribution of microplastics in Sanggou bay showed that the high abundance area mainly appears in the inshore waters,and the abundance of microplastics tends to decrease from the inner areas of estuary to the outshore areas. The heterogeneity of microplastic abundance and spatial distribution in Sanggou bay is mainly affected by human activities such as aquaculture,living and shipping,as well as hydrodynamics. In the future,fine sampling and analysis are needed to fully understand the temporal and spatial distribution of microplastics pollution in the bay areas.  
Validation of MODIS-based monitoring for a green tide in the Yellow Sea with the aid of unmanned aerial vehicle 期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2017, 卷号: 11, 页码: 12007
作者:  Xu, Fuxiang;  Gao, Zhiqiang;  Shang, Weitao;  Jiang, Xiaopeng;  Zheng, Xiangyu;  Ning, Jicai;  Song, Debin;  Gao, ZQ (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China. zqgao@yic.ac.cn
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Green Tide  Modis  Validation  Unmanned Aerial Vehicle  Research Vessel  
Novel transmission element of antibiotic resistance genes ISCR and its ecological risk 期刊论文
Chinese Journal of Applied Ecology, 2015, 卷号: 26, 期号: 10, 页码: 3215-3225
作者:  Chen, Lin-Lin;  Li, Bao-Quan;  Li, Bao-Quan (bqli@yic.ac.cn)
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Antibiotic Resistance  Ecological Impact  Future Prospect  Gene Flow  Genetic Analysis  Horizontal Transmission  Research Work  Risk Assessment  Bacteria (Microorganisms)  
Geoscience information integration and visualization research of shandong province, China based on ArcGIS engine 会议论文
Remote Sensing and Modeling of Ecosystems for Sustainability XI, San Diego, CA, United states, August 18, 2014 - August 20, 2014
作者:  Xu, Mingzhu(1);  Gao, Zhiqiang(2,3);  Ning, Jicai(2);  Xu, Mingzhu
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Information Management  Access Efficiencies  Arcgis Engine  Data Management System  Geodatabase  Geographical Information Integration  Geoscience Data  Geoscience Information  Visualization Research  
PM2.5 source apportionment in the southeastern U.S.: Spatial and seasonal variations during 2001-2005 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 卷号: 117, 期号: ., 页码: D08304
作者:  Chen, Yingjun;  Zheng, Mei;  Edgerton, Eric S.;  Ke, Lin;  Sheng, Guoying;  Fu, Jiamo
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Air-pollution Sources  Fine Particulate Matter  Polycyclic Aromatic-hydrocarbons  Organic Molecular Makers  United-states  Aerosol Research  Heterogeneous Oxidation  Laboratory Measurements  Elemental Carbon  Emissions  
Application of spatio-temporal data mining and knowledge discovery for detection of vegetation degradation: Analysis of time-series remote sensing images using spatial statistics method 会议论文
Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010, 2010-08-10
Hou,Xi-Yong; Han,Lei; Gao,Meng; Bi,Xiao-Li; Zhu,Ming-Ming
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Coastal Zones  Data Mining  Degradation  Ecosystems  Fuzzy Sets  Image Reconstruction  Linear Regression  Remote Sensing  Research  Time Series Analysis