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Remote Sensing of Ulva Prolifera Green Tide in the Yellow Sea Using Multisource Satellite Data: Progress and prospects 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2024, 页码: 22
作者:  Pan, Xinliang;  Cao, Mengmeng;  Zheng, Longxiao;  Xiao, Yanfang;  Qi, Lin;  Xing, Qianguo;  Kim, Keunyong;  Sun, Deyong;  Wang, Ning;  Guo, Maohua;  Wu, Mengquan;  Li, Xuyan;  Yuan, Chao;  Qing, Song;  Qiu, Zhongfeng;  Lu, Yingcheng;  Wang, Changying;  Ren, Peng;  Cai, Xiaoqing;  Sun, Lie;  Bao, Yuhai;  Gao, Song;  Wang, Zongling;  Liu, Rongjie;  Ryu, Joo-Hyung;  Wang, Mengqiu;  Hu, Lianbo;  Li, Xiaofeng;  Cui, Tingwei
收藏  |  浏览/下载：1/0  |  提交时间：2024/10/24
Remote sensing  Monitoring  Green products  Optical sensors  Tides  Synthetic aperture radar  Satellites  
Long-term variations and trends of tropospheric and ground-level NO 2 over typical coastal areas 期刊论文
ECOLOGICAL INDICATORS, 2024, 卷号: 164, 页码: 13
作者:  Tian, Xin-Peng;  Wang, De;  Wang, Yue-Qi;  Gao, Zhi-Qiang;  Tian, Chong-Guo;  Bi, Xiao-Li;  Ning, Ji-Cai
收藏  |  浏览/下载：1/0  |  提交时间：2024/10/24
Ground-level  Tropospheric  Nitrogen dioxide  Coastal regions  OMI  Patterns and trends  
Expression and Characterization of an Efficient Alginate Lyase from Psychromonas sp. SP041 through Metagenomics Analysis of Rotten Kelp 期刊论文
GENES, 2024, 卷号: 15, 期号: 5, 页码: 18
作者:  Wang, Ping;  Cai, Yi;  Zhong, Hua;  Chen, Ruiting;  Yi, Yuetao;  Ye, Yanrui;  Li, Lili
收藏  |  浏览/下载：1/0  |  提交时间：2024/10/24
alginate lyase  alginate oligosaccharide  metagenomic analysis  brown seaweed  
Nitrate transformation and source tracking of rivers draining into the Bohai Sea using a multi-tracer approach combined with an optimized Bayesian stable isotope mixing model 期刊论文
JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 463, 页码: 11
作者:  Ren, Xinwei;  Yue, Fu-Jun;  Tang, Jianhui;  Li, Cai;  Li, Si-Liang
收藏  |  浏览/下载：167/0  |  提交时间：2024/01/26
Dual stable isotope  Nitrate appointment  MixSIAR  Parameter optimization  Nitrogen load  
Nitrate transformation and source tracking of rivers draining into the Bohai Sea using a multi-tracer approach combined with an optimized Bayesian stable isotope mixing model 期刊论文
JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 463, 页码: 11
作者:  Ren, Xinwei;  Yue, Fu-Jun;  Tang, Jianhui;  Li, Cai;  Li, Si-Liang
收藏  |  浏览/下载：1/0  |  提交时间：2024/11/02
Dual stable isotope  Nitrate appointment  MixSIAR  Parameter optimization  Nitrogen load  
Projections of land use/cover change and habitat quality in the model area of Yellow River delta by coupling land subsidence and sea level rise 期刊论文
ECOLOGICAL INDICATORS, 2024, 卷号: 158, 页码: 14
作者:  Tang, Zhixiong;  Ning, Rongrong;  Wang, De;  Tian, Xinpeng;  Bi, Xiaoli;  Ning, Jicai;  Zhou, Zixiang;  Luo, Fubin
收藏  |  浏览/下载：87/0  |  提交时间：2024/02/23
Seawater inundation  Scenario simulation  SBAS-InSAR  PLUS model  InVEST model  Coastal area  
Projections of land use/cover change and habitat quality in the model area of Yellow River delta by coupling land subsidence and sea level rise 期刊论文
ECOLOGICAL INDICATORS, 2024, 卷号: 158, 页码: 14
作者:  Tang, Zhixiong;  Ning, Rongrong;  Wang, De;  Tian, Xinpeng;  Bi, Xiaoli;  Ning, Jicai;  Zhou, Zixiang;  Luo, Fubin
收藏  |  浏览/下载：0/0  |  提交时间：2024/10/28
Seawater inundation  Scenario simulation  SBAS-InSAR  PLUS model  InVEST model  Coastal area  
一种适合移动观测平台的荧光法CDOM快速测量装置 专利
专利号: 2023206437134, 申请日期: 2023-08-04,
发明人:  孙珊;  苏博;  马元庆;  赵玉庭;  李佳蕙;  蔡宗岐;  冯巍巍;  王焕卿;  梁星辉
收藏  |  浏览/下载：80/0  |  提交时间：2024/01/26
一种改良水产养殖水体的复合微生物菌剂及其制备方法 专利
专利号: 201910624847X, 申请日期: 2023-01-17,
发明人:  彭健;  方素云;  胡晓珂;  闵军;  张海坤;  李岩;  刘卫;  王彩霞
收藏  |  浏览/下载：72/0  |  提交时间：2024/01/26
Regional monitoring of biomass burning using passive air sampling technique reveals the importance of MODIS unresolved fires 期刊论文
ENVIRONMENT INTERNATIONAL, 2022, 卷号: 170, 页码: 9
作者:  Jiang, Haoyu;  Li, Jun;  Wang, Jiaqi;  Jiang, Hongxing;  Mo, Yangzhi;  Tang, Jiao;  Zhang, Ruijie;  Pansak, Wanwisa;  Zhong, Guangcai;  Zhao, Shizhen;  Ning, Jicai;  Tian, Chongguo;  Zhang, Gan
收藏  |  浏览/下载：222/0  |  提交时间：2023/08/17
Biomass burning  PUF -PAS  Indo-China Peninsula  Levoglucosan  Lignin derivatives  Top-down emission estimations