机构

• 地理科学与资源研究所 [7]
• 半导体研究所 [6]
• 生态环境研究中心 [5]
• 合肥物质科学研究院 [5]
• 海洋研究所 [4]
• 长春应用化学研究所 [3]
• 更多

采集方式

• OAI收割 [38]
• iSwitch采集 [1]

内容类型

• 期刊论文 [38]
• CNKI期刊论文 [1]

发表日期

• 2024 [6]
• 2023 [2]
• 2022 [3]
• 2021 [4]
• 2020 [3]
• 2019 [2]
• 更多

学科主题

• 光电子学 [6]
• Environmen... [1]
• Geology [1]
• Imaging Sc... [1]
• Multidisci... [1]
• Remote Sen... [1]
• 更多

筛选

浏览/检索结果: 共39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 Coupling coordination between carbon storage protection in alpine wetlands and SDGs: A case study of the Qinghai-Tibet Plateau, China 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2024, 卷号: 483, 页码: 144260 作者:  Liu, Yuanxin;  Zhao, Mingyue   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/01/17 Wetland change  Carbon storage  Sustainable development goals  Multi-scenario simulation  PLUS model  InVEST   Polymeric membrane ion-selective electrode based on potential-modulated ion transfer: ultrasensitive measurement of oceanic pH 期刊论文  OAI收割 CHEMICAL COMMUNICATIONS, 2024, 卷号: 60, 期号: 91, 页码: 13404-13407 作者:  Liu, Lu;  Liu, Yuanxin;  Jiang, Tianjia;  Liang, Rongning;  Qin, Wei   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 River algal blooms can be estimated by remote sensing reflectance 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 10, 页码: 13 作者:  Huang, Tonghui;  Xia, Rui;  Zhang, Kai;  Chen, Yan;  Ren, Yuanxin   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/11/28 algal blooms  remote sensing inversion  genetic algorithm and regression tree  response threshold  the Han River of China   Quantifying impacts of livestock production on ecosystem services: Insights into grazing management under vegetation restoration 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2024, 卷号: 470, 页码: 14 作者:  Li, Ting;  Feng, Weihan;  Lu, Yihe;  Ma, Liyang;  Liu, Yuanxin   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/11/28 Grazing  Livestock industry  Vegetation index  Ecosystem services  Geographical factors  Drylands   The thresholds of forest-to-grassland ratios can be critical for harmonizing ecosystem service relationships spatiotemporally in dryland regions 期刊论文  OAI收割 APPLIED GEOGRAPHY, 2024, 卷号: 169, 页码: 8 作者:  Luo, Ying;  Lu, Yihe;  Guo, Xingjian;  Liu, Yuanxin;  Zhang, Liwei   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/12/30 Ecosystem services  Scale effect  Threshold identification  Ecological restoration  Drylands   Spatial and temporal patterns and driving factors of forest fires based on an optimal parameter-based geographic detector in the Panxi region, Southwest China 期刊论文  OAI收割 FIRE ECOLOGY, 2024, 卷号: 20, 期号: 1, 页码: 22 作者:  Liu, Jia;  Wang, Yukuan;  Guo, Haiyan;  Lu, Yafeng;  Xu, Yuanxin   |  收藏  |  浏览/下载：82/0  |  提交时间：2024/04/29 Panxi region  Forest fire  Spatiotemporal pattern  Driving factor  Parameter-optimal geophone   Estimation of Instantaneous Air Temperature under All-Weather Conditions Based on MODIS Products in North and Southwest China 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 11, 页码: 2701 作者:  Wang, Yuanxin;  Liu, Jinxiu;  Zhu, Wenbin   |  收藏  |  浏览/下载：19/0  |  提交时间：2023/07/14 instantaneous air temperature  atmospheric temperature profile  multiple linear regression model  land surface temperature  MODIS   Degassing of soil gas radon and its implication to fault activity in the western margin of the Ordos Block, China 期刊论文  OAI收割 Terra Nova, 2023, 页码: 1-10 作者:  Zhaofei Liu;  Zhi Chen;  Ying Li;  Peng Du;  Yuanxin Zhao   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/03/26 How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity? CNKI期刊论文  OAI收割 2022 作者:  Yuanxin LIU;  Lijing CHENG;  Yuying PAN;  Zhetao TAN;  John ABRAHAM   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/12/18 salinity  climatology  seasonal cycle  CMIP5  CMIP6  upper ocean   Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin 期刊论文  OAI收割 WATER, 2022, 卷号: 14, 期号: 11, 页码: 21 作者:  Ren, Yuanxin;  Zeng, Sidong;  Liu, Jianwei;  Tang, Zhengyang;  Hua, Xiaojun   |  收藏  |  浏览/下载：61/0  |  提交时间：2022/08/22 mid- to long-term runoff prediction  deep learning models  time lag  lead time