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排序方式： 共有137条查询结果，搜索用时 31 毫秒
41.
Yue Tianxiang Zhao Na Liu Yu Wang Yifu Zhang Bin Du Zhengping Fan Zemeng Shi Wenjiao Chen Chuanfa Zhao Mingwei Song Dunjiang Wang Shihai Song Yinjun Yan Changqing Li Qiquan Sun Xiaofang Zhang Lili Tian Yongzhong Wang Wei Wang Ying’an Ma Shengnan Huang Hongsheng Lu Yimin Wang Qing Wang Chenliang Wang Yuzhu Lu Ming Zhou Wei Liu Yi Yin Xiaozhe Wang Zong Bao Zhengyi Zhao Miaomiao Zhao Yapeng Jiao Yimeng Naseer Ufra Fan Bin Li Saibo Yang Yang Wilson John P. 《中国科学:地球科学(英文版)》2020,63(8):1092-1112
We propose a fundamental theorem for eco-environmental surface modelling(FTEEM) in order to apply it into the fields of ecology and environmental science more easily after the fundamental theorem for Earth's surface system modeling(FTESM). The Beijing-Tianjin-Hebei(BTH) region is taken as a case area to conduct empirical studies of algorithms for spatial upscaling, spatial downscaling, spatial interpolation, data fusion and model-data assimilation, which are based on high accuracy surface modelling(HASM), corresponding with corollaries of FTEEM. The case studies demonstrate how eco-environmental surface modelling is substantially improved when both extrinsic and intrinsic information are used along with an appropriate method of HASM. Compared with classic algorithms, the HASM-based algorithm for spatial upscaling reduced the root-meansquare error of the BTH elevation surface by 9 m. The HASM-based algorithm for spatial downscaling reduced the relative error of future scenarios of annual mean temperature by 16%. The HASM-based algorithm for spatial interpolation reduced the relative error of change trend of annual mean precipitation by 0.2%. The HASM-based algorithm for data fusion reduced the relative error of change trend of annual mean temperature by 70%. The HASM-based algorithm for model-data assimilation reduced the relative error of carbon stocks by 40%. We propose five theoretical challenges and three application problems of HASM that need to be addressed to improve FTEEM. 相似文献
42.
Hydrologic model-based Palmer indices for drought characterization in the Yellow River basin,China 总被引：1，自引：1，他引：1
Mingwei Ma Liliang Ren Vijay P. Singh Fei Yuan Lu Chen Xiaoli Yang Yi Liu 《Stochastic Environmental Research and Risk Assessment (SERRA)》2016,30(5):1401-1420
The Palmer indices (PIs) that have been most widely used for drought monitoring and assessment are criticized for two main drawbacks: coarse hydrological accounting processes with a simplified two-stage bucket soil water balance model and arbitrary rules for defining drought properties and standardizing index values through limited calibration and comparison. In this study, we introduce a new proposal of the VIC hydrologic model-based Palmer drought scheme, where traditional PIs (e.g. PDSI) can readily be calculated on the basis of distributed finescale hydrologic simulations. Moreover, recent variants of PI (i.e., SPDI and SPDI-JDI) also provide a preferable standardization strategy that allows probabilistic invariability and better spatio-temporal comparability of computed drought indices. Using gridded meteorological forcing, soil and vegetation data to drive the three-layer VIC model, both non-VIC and VIC-based PIs are investigated to examine their performances for drought characterization and detection. Results indicate that VIC hydrologic model would allow for adjustments in statistical properties of computed PDSI and VIC-based SPDI is also preferable to PDSI for better statistical robustness and spatio-temporal consistency/comparability. Moreover, the joint SPDI-JDI has the strength of integrating multi-scale probabilistic properties and drought information released by individual SPDI, providing overall drought conditions that take into account the onset, persistence and termination of droughts. At proposed 0.25° grid scale, the VIC-based SPDI-JDI indicates high frequency and long total time of drought condition in the Yellow River basin (YRB), China. Although no significant temporal trends are found in identified drought duration and severity, both the seasonal and annual drought index values demonstrate a downward trend (higher drought intensity) for considerable proportions of the YRB. These findings imply high drought risk and potential drying stress for this region. The new framework of hydrologic model-based PIs can help to strengthen our knowledge and/or practices in regional drought monitoring and assessment. 相似文献
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MF多源测深数据融合方法及大洋水深模型构建 总被引：1，自引：1，他引：0
针对全球深海测深数据来源复杂、精度差异大、难以融合构建高精度数字水深模型(digital bathymetric model,DBM)的问题,提出一种适用于深水区多源水深数据融合的MF法(merge-fusion),并将其应用到马里亚纳海沟"挑战者深渊"的DBM构建中。该方法通过"合并-融合"的技术路线,将多波束、单波束、电子海图数据与通用全球海洋地形数据(general bathymetric chart of the oceans,GEBCO)有机地融合在一起,在保留高分辨率地形细节特征的同时,合理填补了数据空白区。使用该方法构建"挑战者深渊"高精度DBM并与GEBCO数据进行对比,结果表明,该方法融合的DBM能更好地反映精细的地形特征信息,具有重要的实际应用价值。 相似文献
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使用小波变换和功率谱估计法,利用中国静止气象卫星亮温数据研究2017年以来松原地区3次MS＞4.5地震前的热红外异常。结果表明, 2017-07-23 MS4.9和2018-05-28 MS5.7地震前的异常都是沿依兰-伊通断裂和密山-敦化断裂走向逐渐扩展的,即异常存在于松辽盆地的东部边缘,地震震中不在异常区内;2019-05-18 MS5.1地震前异常不明显,可能是由于盆地内二氧化碳和甲烷等温室气体在前2次地震前后已得到最大量的释放。 相似文献
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Evolution and effect of the stress concentration and rock failure in the deep multi-seam coal mining 总被引：1，自引：0，他引：1
Mingwei Zhang Hideki Shimada Takashi Sasaoka Kikuo Matsui Linming Dou 《Environmental Earth Sciences》2014,72(3):629-643
Supports crushing accident occasionally occurs in the protected seam exploitation of deep multi-seam coal mining structure and results in adverse effect to the production. To prevent its recurrence in a newly developed working field, a 3D numerical extraction model was built based on the geologic and mining conditions of Jining coal mine to evolve the changes, state and characteristics of the reconstructed vertical and lateral stress in rock interlayer after protective seam exploitation. Stress release and increase zones of this mining structure were separated. Mining-induced localized stress concentration and the interlayer rock failure behavior were explored. The action of concentrated stress on the hydraulic supports in protected seam was discussed upon the major stress redistribution. Using the infinitesimal strain method, a mechanical model was created to further explore, from the vertical and lateral directions, the cause and mechanism of localized stress concentration and rock failure behavior in rock interlayer. The field investigation was finally performed to verify the numerical and mechanical results, and the essential control measures were proposed to prevent this accident. Key findings of this study bring some new insights into the deep multi-seam coal extraction and help to promote a more reliable underground mining. 相似文献
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