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821.
Brantson Eric Thompson Ju Binshan Ziggah Yao Yevenyo Akwensi Perpetual Hope Sun Yan Wu Dan Addo Bright Junior 《Natural Resources Research》2019,28(3):717-756
Natural Resources Research - The most widely used production decline forecasting tools are numerical reservoir simulation, material balance estimates and advanced methods of production decline... 相似文献
822.
科学评估土地利用总体规划管控建设用地扩张的成效对于规划编制方法和规划管理措施的改进意义重大。本文基于土地利用总体规划的相关指标,从时间、空间、数量和质量等视角构建城镇扩张评估指标体系,选择快速城市化地区南京市为例进行研究。主要结论为:① 南京市土地利用总体规划对建设用地扩张强度的管控有一定成效但仍需加强。规划期除2013年以外,其余年份新增城镇工矿用地规模均高于规划年均控制规模,至2015年指标使用进度高达78.83%,规划剩余年限用地需求难以满足;② 南京城市空间扩张态势与规划城镇用地空间扩张格局基本吻合。不同方向指标使用进度存在较大的差异性,呈东北和西北部快、南部慢的格局;集中度和合规度指标较好;③ 评估期内规模控制指数为-0.97,空间溢出指数为0.34,规划对新增城镇工矿用地管控力度偏弱,规划的累积执行效果呈逐年变差的趋势。④ 本文构建的指标体系可全方位、多角度评估城镇扩张的规划管控成效,对其他地区的规划实施评估有一定的借鉴意义。 相似文献
823.
本文提出了一种新型的多波长全光再生方案,利用相位时钟光纤光参量放大,并采用相邻信道偏振正交的方法,实现对由异步信源产生的双波长信号全光再生.理论分析了参量放大中的增益饱和现象用于幅度噪声抑制,以及利用相位时钟及后续色散实现对信号定时的机理.在这个基础上,对两个独立信源产生的异步双波长10 Gbit/s信号进行再生实验,实验表明该方案有效的抑制了基于多波长3R再生系统中信道间的四波混频与交叉相位调制等非线性干扰.系统在单波长和双波长情况下分别将两路信号信噪比改善了至少6.5 dB与4.5 dB.误码率测试结 相似文献
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826.
为提升地震流动观测质量,适应恶劣条件下野外长期工作,研制集传感器、供电、通讯网络三大模块于一体的流动观测仪器整体防护罩。利用2套GL-PS2一体化短周期地震仪进行对比观测,一套安装于南京台室内基岩观测墩,另一套配备防护罩浅层掩埋于户外。结果表明新型研制的观测仪整体集成防护罩具有以下优点:①保温性能好,内部环境日温差小于3℃,月温度变化小于5℃。②防水性好,经历多次暴雨大雪天气后,防护罩内部干燥,无水滴或结露现象。③台基噪声略优于室内观测墩。④2台设备相关系数垂直向优于水平向,夜晚优于白天。⑤地震记录波形相关系数均在0.6以上,震级越大,相关性越高,且信噪比差距较小。 相似文献
827.
An intensive field observation experiment using 12 Chinese gliders equipped with conductivity-temperature-depth (CTD) sensors and 62 expendable CTD probes (XCTDs) was performed to investigate the 3-D structure and time evolution of an anticyclonic eddy in the northern South China Sea (NSCS). The observed results showed that the anticyclonic eddy had a horizontal radius of about 80 km at surface and a vertical depth of impact of more than 1000 m. The largest temperature and salinity anomalies compared with the averaged values of the temperature and salinity profiles were 3.5°C and 0.4 psu at 120 m depth, respectively. Combined analysis of altimeter sea level and water mass properties indicated that the anticyclonic eddy was shed from the Kuroshio loop current. The vertical axis of the anticyclonic eddy tilted from surface to the observed maximum depth (1000 m) along its translation direction against the 2000 m isobath. The center of the anticyclonic eddy remained in the region east of Dongsha Island for more than half a month. During this time, the long axis direction of the eddy changed from across the slope to along the slope. Then, the eddy moved southward along the 2000 m isobaths. Both the geostrophic current and temperature distribution revealed that the eddy intensity weakened during the observation period gradually. These observations indicated strong interaction between the anticyclonic eddy and the slope topography of Dongsha Island. 相似文献
828.
Application of deep learning in ecological resource research: Theories,methods, and challenges 总被引:1,自引:0,他引:1
Guo Qinghua Jin Shichao Li Min Yang Qiuli Xu Kexin Ju Yuanzhen Zhang Jing Xuan Jing Liu Jin Su Yanjun Xu Qiang Liu Yu 《中国科学:地球科学(英文版)》2020,63(10):1457-1474
Ecological resources are an important material foundation for the survival, development, and self-realization of human beings. In-depth and comprehensive research and understanding of ecological resources are beneficial for the sustainable development of human society. Advances in observation technology have improved the ability to acquire long-term, cross-scale,massive, heterogeneous, and multi-source data. Ecological resource research is entering a new era driven by big data. Traditional statistical learning and machine learning algorithms have problems with saturation in dealing with big data. Deep learning is a method for automatically extracting complex high-dimensional nonlinear features, which is increasingly used for scientific and industrial data processing because of its ability to avoid saturation with big data. To promote the application of deep learning in the field of ecological resource research, here, we first introduce the relationship between deep learning theory and research on ecological resources, common tools, and datasets. Second, applications of deep learning in classification and recognition,detection and localization, semantic segmentation, instance segmentation, and graph neural network in typical spatial discrete data are presented through three cases: species classification, crop breeding, and vegetation mapping. Finally, challenges and opportunities for the application of deep learning in ecological resource research in the era of big data are summarized by considering the characteristics of ecological resource data and the development status of deep learning. It is anticipated that the cooperation and training of cross-disciplinary talents may promote the standardization and sharing of ecological resource data,improve the universality and interpretability of algorithms, and enrich applications with the development of hardware. 相似文献
829.
Jaeyeon Kim Seong-Sun Lee Seung-Wook Ha Won-Tak Joun YeoJin Ju Kang-Kun Lee 《水文研究》2020,34(26):5417-5428
This study aims to evaluate the application of 222Rn in groundwater as a tracer for monitoring CO2 plume migration in a shallow groundwater system, which is important to detect potential CO2 leakage in the carbon capture and storage (CCS) project. For this research, an artificial CO2-infused water injection experiment was performed in a shallow aquifer by monitoring hydrogeochemical parameters, including 222Rn. Radon in groundwater can be a useful tracer because of its sensitivity to sudden changes in subsurface environment. To monitor the CO2 plume migration, the data were analysed based on (a) the influence of mixing processes on the distribution of 222Rn induced by the artificial injection experiment and (b) the influence of a carrier gas role by CO2 on the variation of 222Rn. The spatio-temporal distributions of radon concentrations were successfully explained in association with horizontal and vertical mixing processes by the CO2-infused water injection. Additionally, the mixing ratios of each monitoring well were calculated, quantitatively confirming the influence of these mixing processes on the distribution of radon concentrations. Moreover, one monitoring well showed a high positive relationship between 222Rn and Total dissolved inorganic carbon (TIC) by the carrier gas effect of CO2 through volatilization from the CO2 plume. It indicated the applicability of 222Rn as a sensitive tracer to directly monitor CO2 leakage. When with a little effect of carrier gas, natural 222Rn in groundwater can be used to compute mixing ratio of CO2-infused water indicative of CO2 migration pathways. CO2 carrier gas effect can possibly increase 222Rn concentration in groundwater and, if fully verified with more field tests, will pose a great potential to be used as a natural tracer for CO2. 相似文献
830.