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浏览/检索结果: 共235条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Ocean as source or sink for legacy persistent organic pollutants 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2025, 卷号: 486, 页码: 136987 作者:  Chen, Chuchu;  Yang, Fen;  Wu, Qiang;  Yu, Jun;  Xie, Jingqian   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/03/18 Legacy persistent organic pollutants  Source-sink transformation  Sea-air fluxes  Boosted regression tree model   Spatial distribution and risk assessment of heavy metal pollution from enterprises in China 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 480, 页码: 11 作者:  Shi, Huading;  Wang, Shihao;  Xu, Xinliang;  Huang, Lin;  Gu, Qingbao   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/12/30 Heavy metal pollution  Multi-source data  Risk assessment model  County scale  Source-pathway-receptor process   Advancing source apportionment of soil potentially toxic elements using a hybrid model: a case study in urban parks, Beijing, China 期刊论文  OAI收割 ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2024, 卷号: 46, 期号: 12, 页码: 501 作者:  Li, Kai;  Guo, Guanghui;  Chen, Shiqi;  Lei, Mei;  Zhao, Long   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/12/20 Urban parks  Hybrid model  Potentially toxic elements  Risk source apportionment   Temporal and Spatial Distribution of DIN and DIP Concentrations and Source Apportionment Along the Bohai Sea of China During 2015-2022 期刊论文  OAI收割 CHINESE GEOGRAPHICAL SCIENCE, 2024, 卷号: 34, 期号: 6, 页码: 1004-1016 作者:  Zhang, Xinjie;  Tian, Chongguo;  Sun, Zeyu;  Yin, Xuehua;  Sun, Rong   |  收藏  |  浏览/下载：7/0  |  提交时间：2025/01/10 dissolved inorganic nitrogen (DIN)  dissolved inorganic phosphorus (DIP)  source apportionment  positive matrix factorization (PMF) model  the Bohai Sea of China   Source-oriented health risk assessment of groundwater based on hydrochemistry and two-dimensional Monte Carlo simulation 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 479, 页码: 135666 作者:  Pang, Kuo;  Luo, Kunli;  Zhang, Shixi;  Hao, Litao   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/10/21 Water quality  Model improvement  Natural source  Sensitivity analysis  Central Jiangxi   Estimation of Young's modulus for rocks using a non-invasive CSAMT method 期刊论文  OAI收割 BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2024, 卷号: 83, 期号: 11, 页码: 19 作者:  Hasan, Muhammad;  Shang, Yanjun;  Di, Qingyun;  Meng, Qingsen   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/12/04 Young's modulus (E)  Geomechanical parameters  Geophysical methods  Controlled-source audio-frequency magnetotellurics (CSAMT)  Engineering structures  Geotechnical model   Stronger influences of grassland growth than grassland area on hydrological processes in the source region of the Yellow River 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 642, 页码: 13 作者:  Zhan, Hao;  Yu, Dongxue;  Wang, Le;  Zhang, Jiang;  Xu, Min   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/11/28 Yellow River  Source region  Grassland change  Hydrological response  Leaf area index  DHSVM model   Bayesian multivariate receptor model and convolutional neural network to identify quantitative sources and spatial distributions of potentially toxic elements in soils: A case study in Qingzhou City, China 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 476, 页码: 13 作者:  Kong, Xiangyi;  Liu, Yang;  Duan, Zongqi;  Lv, Jianshu   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/10/08 Source apportionment  Spatial distribution  Potentially toxic elements  Bayesian receptor model  Convolutional neural network   Changed evapotranspiration and its components induced by greening vegetation in the Three Rivers Source of the Tibetan Plateau 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 633, 页码: 14 作者:  Zhuang, Jiacheng;  Li, Yanzhong;  Bai, Peng;  Chen, Li;  Guo, Xiaojun   |  收藏  |  浏览/下载：31/0  |  提交时间：2024/05/20 Vegetation greening  Evapotranspiration  Remote sensing  MEP model  Three Rivers Source   Mountain Vegetation Classification Method Based on Multi-Channel Semantic Segmentation Model 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 2, 页码: 16 作者:  Wang, Baoguo;  Yao, Yonghui   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/03/01 vegetation classification  multi-source image  remote sensing  semantic segmentation  multi-channel model  deep learning