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A new oil spill detection algorithm based on Dempster-Shafer evidence theory 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 页码: 14
作者:  Zhang, Tianlong;  Guo, Jie;  Xu, Chenqi;  Zhang, Xi;  Wang, Chuanyuan;  Li, Baoquan
Adobe PDF(5149Kb)  |  收藏  |  浏览/下载：618/216  |  提交时间：2021/11/09
synthetic aperture radar (SAR) data  oil spill detection  subjective Bayesian  Faster-region convolutional neural networks (RCNN)  Dempster-Shafer evidence theory  
Advances in Water Quality Monitoring and Assessment in Marine and Coastal Regions 期刊论文
WATER, 2021, 卷号: 13, 期号: 14, 页码: 4
作者:  Bergamasco, Alessandro;  Nguyen, Hong Quan;  Caruso, Gabriella;  Xing, Qianguo;  Carol, Eleonora
Adobe PDF(198Kb)  |  收藏  |  浏览/下载：470/211  |  提交时间：2021/10/21
Differences in trophic structure and trophic pathways between artificial reef and natural reef ecosystems along the coast of the North yellow Sea, China, based on stable isotope analyses 期刊论文
ECOLOGICAL INDICATORS, 2021, 卷号: 125, 页码: 13
作者:  Zhang, Rongliang;  Zhang, Hua;  Liu, Hui;  Zhao, Jianmin
Adobe PDF(3683Kb)  |  收藏  |  浏览/下载：711/176  |  提交时间：2021/05/22
Artificial reef  Natural reef  Stable isotopes  MixSIAR  Trophic structure  Trophic pathway  
East Asian monsoon during the past 10,000 years recorded by grain size of Yangtze River delta 期刊论文
OPEN GEOSCIENCES, 2021, 卷号: 13, 期号: 1, 页码: 505-516
作者:  Wang, Xiaohui;  Wang, Longsheng;  Hu, Shouyun;  Yu, Ge;  Wang, Qing;  Zhang, Zhenhua;  Ma, Mingming;  Liao, Mengna;  Gao, Lei
浏览  |  Adobe PDF(4108Kb)  |  收藏  |  浏览/下载：490/161  |  提交时间：2021/10/21
Yangtze River delta  grain size  end-member modeling analysis  East Asian monsoon  
Heavy metals in sediments of Yellow Sea and East China Sea: Chemical speciation, distribution, influence factor, and contamination 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 卷号: 39, 页码: 1277–1292
作者:  Zhao, Miao;  Zhang, Shenghui;  Han, Haitao;  Pan, Dawei
浏览  |  Adobe PDF(2698Kb)  |  收藏  |  浏览/下载：586/190  |  提交时间：2021/05/22
Experimental study of C-band microwave scattering characteristics during the emulsification process of oil spills 期刊论文
ACTA OCEANOLOGICA SINICA, 2020, 卷号: 39, 期号: 7, 页码: 135-145
作者:  Shu, Sijing;  Meng, Junmin;  Zhang, Xi;  Liu, Genwang;  Guo, Jie
浏览  |  Adobe PDF(1105Kb)  |  收藏  |  浏览/下载：376/189  |  提交时间：2021/12/01
microwave scattering characteristics of oil spill  emulsification of crude oil  experiment of oil spill  backscatter  
The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review 期刊论文
WATER, 2019, 卷号: 11, 期号: 8, 页码: 1615
作者:  Jiang, DJ;  Wang, K
浏览  |  Adobe PDF(338Kb)  |  收藏  |  浏览/下载：432/183  |  提交时间：2020/07/08
satellite-based remote sensing  streamflow simulation  hydrological model  data assimilation  
Soil HONO emissions at high moisture content are driven by microbial nitrate reduction to nitrite: tackling the HONO puzzle 期刊论文
ISME JOURNAL, 2019, 卷号: 13, 期号: 7, 页码: 1688-1699
作者:  Wu, DM;  Horn, MA;  Behrendt, T;  Muller, S;  Li, JS;  Cole, JA;  Xie, BH;  Ju, XT;  Li, G;  Ermel, M;  Oswald, R;  Frohlich-Nowoisky, J;  Hoor, P;  Hu, CS;  Liu, M;  Andreae, MO;  Poschl, U;  Cheng, YF;  Su, H;  Trebs, I;  Weber, B;  Sorgel, M
浏览  |  Adobe PDF(2040Kb)  |  收藏  |  浏览/下载：514/190  |  提交时间：2020/07/08
NITROUS-ACID  ESCHERICHIA-COLI  DAYTIME SOURCE  DENITRIFICATION  OXIDE  TEMPERATURE  SEQUENCES  EXCHANGE  RELEASE  NRFA  
Back-propagation neural network and support vector machines for gold mineral prospectivity mapping in the Hatu region, Xinjiang, China 期刊论文
EARTH SCIENCE INFORMATICS, 2018, 卷号: 11, 期号: 4, 页码: 553-566
作者:  Zhang, Nannan;  Zhou, Kefa;  Li, Dong
浏览  |  Adobe PDF(5138Kb)  |  收藏  |  浏览/下载：439/224  |  提交时间：2020/07/08
Mineral prospectivity mapping  Back propagation neural network  Support vector machines  Weight of evidence  
Artificial neural network model for ozone concentration estimation and Monte Carlo analysis 期刊论文
ATMOSPHERIC ENVIRONMENT, 2018, 卷号: 184, 页码: 129-139
作者:  Gao, Meng;  Yin, Liting;  Ning, Jicai
浏览  |  Adobe PDF(1919Kb)  |  收藏  |  浏览/下载：592/332  |  提交时间：2020/07/08
Air pollution  Artificial neural network  Monte Carlo simulation  Uncertainty analysis  Sensitivity analysis