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浏览/检索结果: 共353条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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作者升序作者降序 Simulation analysis of the ecological performance of artificial reefs using species distribution models 期刊论文  OAI收割 FRONTIERS IN ECOLOGY AND EVOLUTION, 2026, 卷号: 14, 页码: 30 作者:  Yu, Haolin;  Rose, Kenneth A.;  Fang, Guangjie;  Tang, Yanli;  Becker, Alistair   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/06/02 artificial reefs  layout sensitivity  reef interaction  simulation analysis  species distribution model   Assessing global passive microwave soil moisture retrievals in mountainous terrain: insights from in situ validation and extended triple collocation 期刊论文  OAI收割 GEODERMA, 2026, 卷号: 466, 页码: 15 作者:  Yang, Yanqing;  Zhao, Wei;  Ding, Tao;  Wu, Jiujiang;  Zhao, Junli   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/03/17 Passive microwave SM  ISMN  ETC  Error patterns  Sensitivity analysis   Improving ADM1 predictions via Bayesian analysis for continuous anaerobic digestion 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2026, 卷号: 398, 页码: 128537 作者:  Liu, Yanxin   |  收藏  |  浏览/下载：9/0  |  提交时间：2026/02/09 Anaerobic digestion  ADM1  Steady-state performance  Global sensitivity analysis  Bayesian calibration   Long-term floor heave analysis of loess tunnel based on modified Green-Ampt infiltration model 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2025, 卷号: 22, 期号: 12, 页码: 4574-4594 作者:  Chang, Zhou;  Yan, Changgen;  Yin, Peijie;  Lan, Hengxing;  Bao, Han   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/01/21 Loess tunnel  Floor heave  Green-Ampt model  Repeated infiltration  Sensitivity analysis  Loess Plateau   Spatiotemporal patterns and driving mechanisms of evapotranspiration in China simulated by the Priestley-Taylor Jet Propulsion Laboratory model 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2025, 卷号: 179, 页码: 114183 作者:  Zhang, Zhenshan;  Xue, Yayong;  Chen, Meizhu;  Guo, Jiawei;  Sun, Na   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/10/20 Evapotranspiration  The Priestley-Taylor Jet Propulsion Laboratory  Sensitivity Analysis  Structural Equation Model  Driving Mechanisms  Climate Zones   Hydro-mechanical interactions in CO2 storage: Critical parameters influencing coal mine at Shenhua's CCS site 期刊论文  OAI收割 ENGINEERING GEOLOGY, 2025, 卷号: 352, 页码: 14 作者:  Lin, Keyao;  Wei, Ning;  Zhang, Yao;  Liu, Shengnan;  Ali, Muhammad   |  收藏  |  浏览/下载：29/0  |  提交时间：2025/06/27 Hydraulic-mechanical coupling  CO 2 geological storage  Subsurface resource utilization  Coal resources  Sensitivity analysis   Impact of High Temporal Resolution Data on Water Quality Modeling: Insights from Erhai Case Study 期刊论文  OAI收割 PROCESSES, 2025, 卷号: 13, 期号: 6, 页码: 22 作者:  Shi, Xiaomeng;  Li, Yu;  Yao B(姚波);  Wang, Shengrui;  Ni, Shouqing   |  收藏  |  浏览/下载：25/0  |  提交时间：2025/08/18 high-frequency monitoring  water quality prediction  temporal resolution sensitivity  machine learning  wavelet analysis   Rainfall and maximum temperature are dominant climatic factors influencing APSIM-Maize cultivar parameters sensitivity in semiarid regions 期刊论文  OAI收割 EUROPEAN JOURNAL OF AGRONOMY, 2025, 卷号: 164, 页码: 127494 作者:  Yang, Xuening;  Zhang, Xuanze;  Zhao, Zhigan;  Ma, Ning;  Tian, Jing   |  收藏  |  浏览/下载：41/0  |  提交时间：2025/02/24 Crop model  Climate variability  Global sensitivity analysis  Maize  Parameterization   Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2025, 卷号: 170, 页码: 22 作者:  Nourani, Vahid;  Ahmadi, Ramin;  Zhang, Yongqiang;  Dabrowska, Dominika   |  收藏  |  浏览/下载：50/0  |  提交时间：2025/03/31 Evapotranspiration  PML-V2  Sensitivity analysis  Machine learning  Neural ensemble technique  Ahar Chay Basin  Seto mixed forest site   Analysis on a five-spot well for enhancing energy recovery from silty natural gas hydrate deposits in the South China Sea 期刊论文  OAI收割 APPLIED ENERGY, 2024, 卷号: 376, 页码: 18 作者:  Gu, Yuhang;  Li, Shuaijun;  Song, Ziyang;  Lu, Hongfeng;  Xu, Chenlu   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/11/20 Natural gas hydrate  Five-spot well  Energy recovery  Depressurization  Gas production enhancement  Sensitivity analysis