机构

• 地理科学与资源研究... [13]
• 地球化学研究所 [2]

采集方式

• OAI收割 [15]

内容类型

• 期刊论文 [15]

发表日期

• 2026 [2]
• 2025 [1]
• 2024 [5]
• 2023 [3]
• 2022 [2]
• 2019 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共15条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Causal inference-driven framework for source verification: Integrating PMF, health risk assessment, and spatialized emission inventories, and in multi-source composite heavy metal soil pollution 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2026, 卷号: 502, 页码: 140873 作者:  Xu, Minke;  Lei, Mei;  Ju, Tienan;  Guo, Guanghui;  Xie, Yunfeng   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/02/09 Source identification  Soil contamination  Geographical Convergent Cross Mapping  Anthropogenic inputs  Source-receptor relationship   Modeling spatial non-stationarity of multiple industrial point source pollution emissions impact on regional cancer prevalence in China 期刊论文  OAI收割 APPLIED GEOGRAPHY, 2026, 卷号: 186, 页码: 103823 作者:  Xu, Yuan;  Lei, Mei;  Ju, Tienan;  Qiu, Rongliang;  Wang, Shaobin   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/12/19 Industrial pollution  Exposure assessment  Multiscale geographically weighted regression  Spatial non-stationarity  Colorectal cancer   Comprehensive prediction of soil benzo[a]pyrene content in Chinese coking enterprises from 2020-2040: an innovative full production cycle approach based on interpretable machine learning 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2025, 卷号: 521, 页码: 146223 作者:  Ju, Tienan;  Lei, Mei;  Li, Hu-an;  Xing, Andrew Zi Feng;  Guo, Guanghui   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/09/22 Coking enterprises  Soil benzo[a]pyrene content  Full production cycle  Emission standards  Interpretable machine learning   Determining the priority control sources of heavy metals in the roadside soils in a typical industrial city of North China 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 480, 页码: 136347 作者:  Guo, Guanghui;  Chen, Shiqi;  Li, Kai;  Lei, Mei;  Ju, Tienan   |  收藏  |  浏览/下载：51/0  |  提交时间：2024/12/20 Heavy metals  Roadside soils  Monte Carlo simulation  Random forest  Positive matrix factorization   Identifying the habitat suitability of Pteris vittata in China and associated key drivers using machine learning models 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 954, 页码: 176213 作者:  Chen, Shiqi;  Guo, Guanghui;  Lei, Mei;  Peng, Hao;  Ju, Tienan   |  收藏  |  浏览/下载：46/0  |  提交时间：2024/10/21 Pteris vittata  Machine learning  Spatial correlation  Prediction accuracy  Arsenic   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：56/0  |  提交时间：2024/12/20 Urban parks  Hybrid model  Potentially toxic elements  Risk source apportionment   Refined prediction of SO2 concentration around Chinese coking enterprises and exposure risk assessment of different populations based on buffer Latin hypercube 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2024, 卷号: 477, 页码: 143833 作者:  Lei, Mei;  Xu, Yuan;  Ju, Tienan;  Wang, Shaobin;  Guo, Guanghui   |  收藏  |  浏览/下载：61/0  |  提交时间：2024/11/19 Coking enterprises  SO 2 concentration  Buffer Latin hypercube  Diverse populations  Exposure risk   Diagnostic features emerging in near-infrared reflectance spectroscopy for low petroleum hydrocarbon pollution after spectral subtraction 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 928, 页码: 172264 作者:  Lou, Qijia;  Lei, Mei;  Wang, Yu;  Wang, Shaobin;  Guo, Guanghui   |  收藏  |  浏览/下载：47/0  |  提交时间：2024/07/12 Absorption feature  Fast Fourier transform filtering  Knowledge-based approach  Soil matrix   Spatial prediction of soil contamination based on machine learning: a review 期刊论文  OAI收割 FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2023, 卷号: 17, 期号: 8 作者:  Zhang, Yang;  Lei, Mei;  Li, Kai;  Ju, Tienan   |  收藏  |  浏览/下载：73/0  |  提交时间：2023/04/06 Soil contamination  Machine learning  Prediction  Spatial distribution   A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification 期刊论文  OAI收割 FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2023, 卷号: 17, 期号: 1, 页码: 11 作者:  Ju, Tienan;  Lei, Mei;  Guo, Guanghui;  Xi, Jinglun;  Zhang, Yang   |  收藏  |  浏览/下载：59/0  |  提交时间：2022/09/26 Industrial atmospheric pollutants  Pollutant emission standards  Quantitative method  Machine learning  Single enterprise