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使用智能库源缩短开发周期

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电信科学 1999年第3期15卷 46-47页

作者： Craig.,l robe.,KB Altera公司美国

本文主要介绍了缩短产品设计开发周期的一种新方案，即使用基于可编程逻辑的智能库源。

关键词：可编程逻辑设计 PlD 智能库源 IP 设计周期

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墨西哥湾GC238区冷泉碳酸盐岩的微结构与石化微生物特征

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沉积学报 2008年第1期26卷 54-60页

作者：管红香陈多福 Cathles l M robe.s H H 中国科学院广州地球化学研究所边缘海地质重点实验室广州510640 中国科学院研究生院北京100049 Department of Earth ＆ Atmospheric Sciences Comell University Ithaca New York 14853 USA Coastal Studies Institute Louisiana State University Batton Rouge LA 70803 USA

采于墨西哥湾GC238海底天然气渗漏区浅表层的冷泉碳酸盐岩呈结核状产出,由方解石微晶和胶结物及少量的黄铁矿构成。胶结物由直径为0.1～0.5m的方解石化的球体、卵形体、棒状体组成,充填于方解石晶体之间。冷泉碳酸盐岩结核下表面发育有... 详细信息

采于墨西哥湾GC238海底天然气渗漏区浅表层的冷泉碳酸盐岩呈结核状产出,由方解石微晶和胶结物及少量的黄铁矿构成。胶结物由直径为0.1～0.5m的方解石化的球体、卵形体、棒状体组成,充填于方解石晶体之间。冷泉碳酸盐岩结核下表面发育有由方解石化的球体、卵形体、棒状体组成的薄层,其中的一些球状集合体(约5m)断面显示发育有核和外壳的层圈结构。黄铁矿呈草莓状,也具有相似的层圈结构。这种层状结构与活体古细菌被硫酸盐还原细菌包裹的层圈结构相似。样品中所保存的球体、卵形体、棒状体及其所组成的层圈结构可能是石化的甲烷氧化古细菌和硫酸盐还原细菌。

关键词：冷泉碳酸盐岩微结构甲烷氧化古细菌硫酸盐还原细菌墨西哥湾

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美国环保局的科学决策

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国外环境科学技术 1991年第4期 47-49页

作者： robe.,l 朱荫湄

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Verification of the MIKE11-NAM Model for Simulating Streamflow

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Journal of Environmental Protection 2020年第2期11卷 152-167页

作者： Fitsum t. teshome Haimanote K. Bayabil l. N. thakural Fikadu G. Welidehanna Department of Plant Science College of Agriculture and Natural Resources Madda Walabu University Bale-Robe Ethiopia Department of Agricultural and Biological Engineering Tropical Research and Education Center IFAS University of Florida Homestead FL USA Surface Water Hydrology Division National Institute of Hydrology Roorkee India

Modeling watershed hydrological processes are important for water resources planning, development, and management. In this study, the MIKE 11-NAM (Nedbor-Afstromings Model model) was evaluated for simulation of streamflow from the Bina basin located in the Madhya Pradesh State of India. the model was calibrated and validated on a daily basis using five years (1994-1998) observed hydrological data. In addition, a model sensitivity analysis was performed on nine MIKE 11-NAM parameters to identify sensitive model parameters. Statistical and graphical approaches were used to assess the performance of the model in simulating the streamflow of the basin. Results show that during daily model calibration, the model performed very well with a coefficient of determination (R2) and the percentage of water balance error (WBl) values 0.87% and -8.63%, respectively. In addition, the model performed good during the validation period with R2 and WBl values of 0.68% and -6.72%, respectively. Model sensitivity analysis results showed that Overland flow runoff coefficient (CQOF), time constant for routing overland flow (CK1,2) and Maximum water content in root zone storage (lmax) were found as the most influential and sensitive model parameters for simulating streamflow. Overall, the model’s performance was satisfactory based on R2 and EI metrics.

关键词： lumped Conceptual Model MIKE 11-NAM Sensitivity Analysis Rainfall-Runoff Modeling

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Modeling Stream Flow Using SWAt Model in the Bina River Basin, India

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Journal of Water Resource and Protection 2020年第3期12卷 203-222页

Understanding watershed runoff processes is critical for planning effective soil and water management practices and efficiently utilize available water resources. the main objective of this study was to investigate the performance of the Soil and Water Assessment tool (SWAt) to simulate streamflow from the Bina basin in the Madhya Pradesh state of India. the SWAt model was calibrated and validated on a daily and monthly basis using historical streamflow and weather data from the Bina basin. the Sequential Uncertainty Fitting (SUFI-2) technique in the SWAt? Calibration and Uncertainty Procedures (SWAt-CUP) program was used to assess model uncertainties. the SWAt model performed “satisfactory” and “very good” in simulating streamflow at daily and monthly time steps, respectively. Model calibration results showed that coefficients of determination (R2) values were 0.66 and 0.96;while Nash-Sutcliffe (NSE) values were 0.65 and 0.94 for daily and monthly simulations, respectively. the R2 values of daily and monthly simulations during model validation were 0.65 and 0.72, respectively while the respective NSE values were 0.58 and 0.72. this study demonstrated that the SWAt model could be effectively used to simulate streamflow in the Bina river basin.