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您的检索式：作者名="Jiansu MAO"
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| 1 | Quantification of energy related industrial eco-efficiency of China显示文摘Improving eco-efficiency is propitious for saving resources and reducing emissions,and has become a popular route to sustainable development.We define two energy-related eco-efficiencies:energy efficiency(ENE)and greenhouse gas(GHG)emission-related eco-efficiency(GEE)using energy consumption and the associated GHG emissions as the environmental impacts.Using statistical data,we analyze China’s energy consumption and GHG emissions by industrial subsystem and sector,and estimate the ENE and GEE values for China in 2007 as 4.871×10^(7)US·/PJ and 4.26×10^(8)US$/TgCO_(2)eq,respectively.Industry is the primary contributing subsystem of China’s economy,contributing 45.2%to the total economic production,using 79.6%of the energy consumed,and generating 91.4%of the total GHG emissions.We distinguish the individual contributions of the 39 industrial sectors to the national economy,overall energy consumption,and GHG emissions,and estimate their energyrelated eco-efficiencies.The results show that although ferrous metal production contributes only 3.5%to the national industrial economy,it consumes the most industrial energy(20%of total),contributes 16%to the total industrial global warming potential(GWP),and ranks third in GHG emissions.The power and heat sector ranks first in GHG emissions and contributes one-third of the total industrial GWP,although it only consumes about 8%of total industrial energy and,like ferrous metal production,contributes 3.5%to the national economy.The ENE of the ferrous metal and power and heat sectors are only 8 and 2.1×10^(7)US$/PJ,while the GEE for these two sectors are 9 and 4×10^(4)US$/GgCO_(2)eq,respectively;these are nearly the lowest ENE and GEE values among all 39 industry sectors.Finally,we discuss the possibility of ecoefficiency improvement through a comparison with other countries. | Jiansu MAO Yanchun DU Linyu XU Yong ZENG | 2011 | Frontiers of Environmental Science & Engineering2011，5，4： | 1 |
| 2 | Development of a model-based flood emergency management system in Yujiang River Basin, South China显示文摘泛滥是在中国的最经常的灾难。它影响人的生活和性质,引起可观的经济损失。水库的洪水预报和操作在洪水紧急情况管理是重要的。尽管大进步直用计算机在洪水预报和水库操作被获得了,在中国联网技术,和地理信息系统技术,模型的预言精确性不由于即时监视的 unavailability 是令人满意的数据。另外,即时洪水控制情形分析不在许多区域是有效的并且能很少提供联机决定支持功能。在这研究,为即时洪水在 Yujiang 河盆预报的一个决定支持系统,华南(DSS-YRB ) 在这篇论文被介绍。这个系统基于水文学和水力的数学模型。概念的框架和建议 DSS-YRB 的详细部件被说明,它采用即时降雨数据变换,预报的模型驱动的 hydrologic,模型刻度,数据吸收方法,和水库运作的情形分析。Multi-tiered 建筑学提供大灵活性,可移植性,可重用性,和可靠性。应用案例研究结果显示出一个决定支持系统的开发和应用程序因为即时洪水预报和操作为洪水控制是有益的[出版摘要] | Yong ZENG Yanpeng CAI Peng JIA Jiansu MAO | 2014 | Frontiers of Earth Science2014，8，2： | 0 |
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