基于AHP和DEA模型的农业生态效率评价——以无锡市为例

农业面源污染已成为我国重要环境污染源之一，但由于农业面源污染具有分散、面广、周期长、随机性等特点，在评价上存在较大难度。根据生态效率理论，结合农业生产的特点，建立了综合考虑经济效益和环境影响的农业生态效率评价指标体系，并以江苏省无锡市为例，选取该市1998~2008年农业生产和面源污染相关数据，运用偏好锥的数据包络分析模型（DEA）对其农业生态效率进行了评价分析。结果显示：1998~2008年，无锡市农业生态效率呈现先下降后上升的趋势，近三年累计上升幅度达22%。表明近年来无锡市农业面源污染治理成效显著，农业可持续发展水平显著提高。提出的农业生态效率评价体系和方法为进一步推进农业面源污染治理工作提供了依据     

An imprecise fuzzy risk approach for water quality management of a river system

Uncertainty plays an important role in water quality management problems. The major sources of uncertainty in a water quality management problem are the random nature of hydrologic variables and imprecision (fuzziness) associated with goals of the dischargers and pollution control agencies (PCA). Many Waste Load Allocation (WLA) problems are solved by considering these two sources of uncertainty. Apart from randomness and fuzziness, missing data in the time series of a hydrologic variable may result in additional uncertainty due to partial ignorance. These uncertainties render the input parameters as imprecise parameters in water quality decision making. In this paper an Imprecise Fuzzy Waste Load Allocation Model (IFWLAM) is developed for water quality management of a river system subject to uncertainty arising from partial ignorance. In a WLA problem, both randomness and imprecision can be addressed simultaneously by fuzzy risk of low water quality. A methodology is developed for the computation of imprecise fuzzy risk of low water quality, when the parameters are characterized by uncertainty due to partial ignorance. A Monte-Carlo simulation is performed to evaluate the imprecise fuzzy risk of low water quality by considering the input variables as imprecise. Fuzzy multiobjective optimization is used to formulate the multiobjective model. The model developed is based on a fuzzy multiobjective optimization problem with max–min as the operator. This usually does not result in a unique solution but gives multiple solutions. Two optimization models are developed to capture all the decision alternatives or multiple solutions. The objective of the two optimization models is to obtain a range of fractional removal levels for the dischargers, such that the resultant fuzzy risk will be within acceptable limits. Specification of a range for fractional removal levels enhances flexibility in decision making. The methodology is demonstrated with a case study of the Tunga–Bhadra river system in India.     

The Role of Disaggregation of Asset Values in Flood Loss Estimation: A Comparison of Different Modeling Approaches at the Mulde River,Germany

In loss estimation there is a spatial mismatch of hazard data that are commonly modeled on an explicit raster level and exposure data that are often available only for aggregated administrative units. Usually disaggregation methods that use ancillary information to distribute lumped exposure data in a finer spatial resolution help to bridge this gap. However, the actual influence of different mapping techniques and ancillary data on the final loss estimation has not been analyzed yet. In this paper three methods are applied to disaggregate residential building assets using two kinds of land use/land cover (LULC) data. The resulting disaggregated assets are validated and compared using census data of the residential building number on the community and constituency level. In addition, the disaggregated assets are taken to estimate residential building losses due to the flood in August 2002 in 21 municipalities on the River Mulde in Saxony, Germany. Losses are calculated with the help of four loss models. In general, disaggregation helps to decrease the error variance within the loss estimation. It must, however, be stated that the application of sophisticated disaggregation methods does not lead to significant improvements compared to the straightforward binary method. Therefore more effort should instead be put into the provision of high-resolution LULC data. Finally, the remaining uncertainties in loss estimation are high and demand further improvements in all modeling aspects.     

An Empirical Study on the Environmental Kuznets Curve for China’s Carbon Emissions:Based on Provincial Panel Data

Based on the Environmental Kuznets Curve theory,the authors choose provincial panel data of China in 1990 2007 and adopt panel unit root and co-integration testing method to study whether there is Environmental Kuznets Curve for China’s carbon emissions.The research results show that:carbon emissions per capita of the eastern region and the central region of China fit into Environmental Kuznets Curve,but that of the western region does not.On this basis,the authors carry out scenario analysis on the occurrence time of the inflection point of carbon emissions per capita of different regions,and describe a specific time path.     

基于面板数据的土地投入对经济增长的影响-以浙江省为例

采用生产函数与面板数据回归模型相结合的研究手段，以地处经济发达地区的浙江省为实证研究区域对土地要素投入对经济增长的影响进行了定量的研究。研究结果表明：(1)就规模效应而言，浙江省的经济增长处于规模报酬不变的发展阶段；(2)浙江省经济增长对劳动力要素的投入最为敏感，其中土地要素、劳动力要素和资本要素增加1个单位的投入量对经济增长的推动为 0.247 3、0.538 5 和 0.321 6；（3）固定资产投入在研究期间是浙江省经济增长的主要推动力，其贡献率达到6823%，而劳动力要素与土地要素则分别为2346%和625%；(4)浙江省土地利用不够集约，在研究期间土地要素对经济增长的影响能被资本要素与劳动力要素有效替代，而劳动力要素则难以被资本投入与土地投入有效替代，劳动集约型产业应该成为浙江省未来发展方向之一。     

快速城市化时期中国城市建成区植被状况的时空分异特征

基于植被变化视角,以中国656 个建制城市的建成区为研究对象,选择1992、2000 和2010 年DMSP/OLS 夜间灯光数据和植被数据,选用城市建成区内归一化植被指数（Normalized Difference Vegetation Index,NDVI）的均值反映建成区植被的状况;用建成区内NDVI均值和背景区内NDVI均值的比值（NDVI比值）衡量人为因素对城市建成区植被的影响情况。结果表明：①同一年份,城市规模越大,建成区植被越差;近20 a 来,除小城市植被变差外,其他等级城市植被总体在变好。②同一年份,规模小的城市人为因素产生的不利影响相对较小。近20 a 来,人为因素对特大城市和大城市植被产生的不利影响在减小,而中等城市基本不变,小城市则变大。③同一年份,从湿润半湿润森林带、半干旱草原带到干旱荒漠带的城市建成区内的植被逐渐变差;近20 a 来,干旱荒漠带的建成区植被状况略微变差,其余植被带内建成区植被变好。④同一年份,从湿润半湿润森林带、半干旱草原带到干旱荒漠带人为因素对建成区植被的不利影响逐渐减小;近20 a 来,湿润半湿润森林带内人为因素对建成区植被的不利影响在减小,而其他植被带内,人为因素的不利影响在增加。     

基于多时相MODIS数据的四川省森林植被类型信息提取

森林植被类型信息对于生态的保护、规划和建设具有重要的意义。论文针对单一时相遥感数据在提取森林植被类型信息方面的局限性,探讨了基于多时相MODIS遥感数据实现提取主要森林植被类型信息的方法。将四川省的森林植被划分为常绿落叶混交林、常绿阔叶林、常绿针叶林、落叶阔叶林、落叶针叶林5 种类型。通过对其年内生长差异的分析,选取多时相（2005 年1 月9日、2 月26 日、4 月22 日、7 月19 日和10 月23 日）特征数据,利用光谱和时相特征知识建立了常绿林、落叶林和针叶林的提取模型;通过特征组合与逻辑判断,实现了5 种植被类型信息的提取,提取精度总体达到84%,植被类型最低精度达到76%。研究表明,该方法可以节约大量的人力、物力和财力,在大范围的植被类型调查与监测方面具有较大的应用价值。该研究表明,四川省2005 年的森林覆盖率为28.43%。各类型按所占百分比由高到低的排序为落叶阔叶林、常绿针叶林、常绿阔叶林、落叶针叶林和常绿落叶混交林。该数据对四川省森林植被的保护和利用具有重要的应用价值。     

水环境监测结果的审核重点与审核方法

环境水质监测分析过程中水质指标多,监测数据多,数据的审核工作比较复杂。数据审核是水质分析工作质量保证的一个重要环节,是整个质量保证体系中有效的控制手段。主要从理论上分析环境监测中水质指标之间的关系,为水质监测人员监测和数据审核提供参考,从而提高数据质量,为环境水质管理服务。     

烟气脱硫设施运行及脱硫电价实时监控系统设计

由于缺乏有效监管手段,目前脱硫设施实际投运情况不理想。设计了一套B/S架构的烟气脱硫设施运行及脱硫电价实时监控系统,分为数据采集、数据通讯、数据处理及发布3个子系统。选择能全面反映脱硫设施运行状况的28个信号,采用"共享-分流"信号防伪采集技术进行采集,通过电力系统内载波电话拨号与无线GPRS两种通讯方式相互竞争、互为备用来实现可靠通讯,并经过软件防伪判别模块和统计运算后以WEB形式发布。数据以5m in的间隔实时刷新,且每小时更新脱硫投入率、脱硫电价款等报表数据。     

互相关算法在次声监测数据处理中的应用

次声监测数据处理技术是我国履行全面禁止核试验条约必备技术之一。重点介绍逐次多通道互相关(PMCC)算法原理、处理流程以及与之相关的数据处理系统,并利用典型次声事件进行了实验研究。结果表明PMCC在处理次声监测数据方面具有优异性能。