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为了研究地区农业用水总量与用水结构动态变化响应关系,深化调控农业产业结构与农业用水结构,基于水足迹理论,采用VAR（2）模型建立了脉冲响应函数以及方差分解,研究了济南市1997―2014年农业水足迹变化情况以及农业水足迹构成之间的响应关系。结果表明,济南市农业绿水、蓝水、灰水足迹呈现逐年递增趋势,其中1997―2009年为快速上升阶段,2009―2014年为平稳上升阶段;种植业水足迹与农业水足迹之间不存在黏滞性,渔业水足迹与农业水足迹之间存在负响应关系;影响济南市农业水足迹的重要因素依次为种植业水足迹、畜牧业水足迹、林业水足迹、渔业水足迹。总之,通过适当减少高耗水种植业和畜牧业生产、增加渔业产品产量、制定长期的农业用水规划,并进一步优化农业用水结构,方可实现农业水资源的可持续利用与发展。

由中华医学会神经病学分会脑血管病学组主办、山东省医学会和山东省立医院协办的中国脑血管病大会2013’拟定于2013年3月28—31日在山东省济南市召开，届时将邀请国内外著名脑血管病专家就当前热点问题进行专题讲座。

经多方筹备,中国抗癌协会系列杂志已于2005年10月正式宣告成立。成立大会于2005年10月在济南市成功召开。2006年9月,中国抗癌协会系列杂志编辑部主任第二次工作会议在天津举行。会议讨论通过了《中国抗癌协会系列杂志管理办法》,《中国抗癌协会系列杂志实施方案》等若干条例。

Urban sprawl is driven by a myriad of factors, the predominant one of which is the development of residential land. Selecting part of Jinan City for a case study, we use the landscape metric of percent of landscape （PLAND） to capture residential land growth and density changes in 1989, 1996 and 2004 to illuminate the dynamic process of residential land development. The results indicate that the moving window method and the landscape metrics method are efficient ways to describe residential land density. The residential land showed the greatest change among the built-up land with 1995.68 ha from 1989 to 2004, which is mainly transformed from agriculture land and green space. The urban center area of study area is primarily covered with medium density residential land, and surrounded by high density residential land. The development pattern of residential land exhibited both fill-in （new growth occurs through infilling the free spaces within the developed area） and sprawl processes, influenced by a series of factors, such as urban development policy, conservation of springs, recreational and aesthetic amenities. The findings of the study will help to guide urban planning with a focus on the management and protection of the environment and resources.

Urban green spaces have been arisen growing concern responded to the social and environmental costs of urban sprawl. A wide range of planning and policies has been and/or will be designed to protect urban green spaces and optimize their spatial pattern. A better design or planning of urban green space can make a major contribution to quality of environment and urban life, and furthermore can decide whether we can have a sustainable development in the urban area. Information about the status quo of urban green spaces can help planners design more effectively. However, how to quantify and capture such information will be the essential question we face. In this paper, to quantify the urban green space, a new method comprising gradient analysis, landscape metrics and GIS was developed through a case of Jinan City. The results demonstrate： 1） the gradient analysis is a valid and reliable instrument to quantify the urban green space spatial pattern precisely; 2） using moving window, explicit landscape metrics were spatially realized. Compared with quantifying metrics in the entire landscape, it would be better to link pattern with process and establish an important basis for analyzing the ecological and socioeconomic functions of green spaces.