中国科学院机构知识库网格系统: 检索

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	Geometry prediction and design for energy storage salt caverns using artificial neural network 期刊论文 OAI收割 ENERGY, 2024, 卷号: 308, 页码: 13 作者: Wang, Zhuoteng; Chen, Jiasong; Wang, Guijiu; Li, Jinlong; Li, Shuangjin \| 收藏 \| 浏览/下载：2/0 \| 提交时间：2025/06/27 Hydrogen storage Natural gas storage Salt cavern Construction design Parameter optimization Artificial neural network
	Machine-learning-based capacity prediction and construction parameter optimization for energy storage salt caverns 期刊论文 OAI收割 ENERGY, 2022, 卷号: 254 作者: Li, Jinlong; Wang, ZhuoTeng; Zhang, Shuai; Shi, Xilin; Xu, Wenjie \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2023/08/02 Energy storage salt cavern Solution mining construction Capacity prediction Artificial neural network Machine learning
	基于微震监测的地下水封石油洞库施工期围岩稳定性分析期刊论文 OAI收割岩石力学与工程学报, 2016, 卷号: 35, 期号: 07, 页码: 1353-1365 作者: 马克; 唐春安; 梁正召; 吴疆; 徐奴文收藏 \| 浏览/下载：17/0 \| 提交时间：2017/12/26 岩石力学地下水封石油洞库开挖卸荷微震监测能量释放
	基于微震监测的地下水封石油洞库施工期围岩稳定性分析期刊论文 OAI收割岩石力学与工程学报, 2016, 卷号: 35, 期号: 7, 页码: 1353-1365 作者: 马克; 唐春安; 梁正召; 吴疆; 徐奴文收藏 \| 浏览/下载：111/0 \| 提交时间：2017/02/24 rock mechanics water sealed underground oil storage caverns excavation disturbance microseismic monitoring energy release
	Microseismic energy evolution of high rock slop during excavation and after reinforcement 会议论文 OAI收割 2nd International Conference on Rock Dynamics and Applications (RocDyn), Suzhou, PEOPLES R CHINA, MAY 18-19, 2016 作者: Zhuang DY(庄端阳); Liang ZZ(梁正召); Tang CA(唐春安); Ma K(马克) 收藏 \| 浏览/下载：69/0 \| 提交时间：2017/05/12 SEISMIC ENERGY
	大型地下水封石油洞库及微震监测技术应用现状期刊论文 OAI收割油气储运, 2015, 卷号: 34, 期号: 8, 页码: 9 作者: 庄端阳; 刘安琪; 唐春安; 马克收藏 \| 浏览/下载：24/0 \| 提交时间：2015/12/25 地下水封洞库微震监测岩体裂缝损伤程度
	气候变化和人类活动在沙漠化过程中相对作用评价综述/Assessment of the Relative Role of Climate Change and Human Activities in Desertification:A Review[J] 期刊论文 OAI收割地理学报, 2011, 卷号: 66, 期号: 1, 页码: 68-76 作者: 许端阳; 李春蕾; 庄大方; 潘剑君; XU Duanyang \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2017/12/29 沙漠化气候变化人类活动相对作用评价
	Quantitative Assessment of Desertification Using Landsat Data on a Regional Scale - A Case Study in the Ordos Plateau, China 期刊论文 OAI收割 Desertification is a serious threat to the ecological environment and social economy in our world and there is a pressing need to develop a reasonable and reproducible method to assess it at different scales. In this paper, the Ordos Plateau in China was selected as the research region and a quantitative method for desertification assessment was developed by using Landsat MSS and TM/ETM+ data on a regional scale. In this method, NDVI, MSDI and land surface albedo were selected as assessment indicators of desertification to represent land surface conditions from vegetation biomass, landscape pattern and micrometeorology. Based on considering the effects of vegetation type and time of images acquired on assessment indictors, assessing rule sets were built and a decision tree approach was used to assess desertification of Ordos Plateau in 1980, 1990 and 2000. The average overall accuracy of three periods was higher than 90%. The results showed that although some local places of Ordos Plateau experienced an expanding trend of desertification, the trend of desertification of Ordos Plateau was an overall decrease in from 1980 to 2000. By analyzing the causes of desertification processes, it was found that climate change could benefit for the reversion of desertification from 1980 to 1990 at a regional scale and human activities might explain the expansion of desertification in this period; however human conservation activities were the main driving factor that induced the reversion of desertification from 1990 to 2000., 2009, 卷号: 9, 期号: 3, 页码: 1738-1753 作者: Zhuang, Dafang(庄大方); Qiu, Dongsheng 收藏 \| 浏览/下载：271/70 \| 提交时间：2011/06/10 Desertification quantitative assessment Landsat Ordos Plateau