地下水管理模型在开采低铁锰地下水中的应用

本文依据偏微分方程近代理论中的广义函数、希尔伯特空间、算子半群等理论方法，探讨地下水管理模型的核心部分—单位脉冲响应函数的来源机质及特征。用已建立的地下水管理模型模拟了饮马河流域的低铁锰地下水开采问题，以及提出治理高铁锰地下水入侵的措施。     

Examining the Influence of Positionality in Evaluating Collaborative Progress in Natural Resource Management: Reflections of an Academic and a Practitioner

In this paper, we present a reflexive examination of how and why we, an academic and a practitioner, arrive at different evaluations of collaborative progress in natural resource management. We situate this examination in our long-standing involvement in designing, adaptively managing, and participating in the Uncompahgre Plateau collaborative forest restoration project in western Colorado, USA. Drawing on the concept of “positionality” in qualitative social science research, we disclose our respective motivations, assumptions, roles, and power relative to the collaborative process. The differences in evaluating collaborative progress stem from our respective professional positionality. For the academic, the guiding interest was to test theory and promote success for his applied research institute; for the practitioner, the motivation was to build trust to allow her field staff the flexibility to implement management actions and demonstrate effectiveness as an agency line officer. These epistemological differences draw attention to the importance of transdisciplinary approaches to producing knowledge from shared practice, starting with efforts to explicitly disclose and honor differing interests, assumptions, and frames of reference stemming from each party’s personal and professional biographies and institutional norms. This reflexivity is essential to advancing knowledge about collaboration in natural resource management.     

Sentinel-2卫星落叶松林龄信息反演

林龄结构信息能够有效反映区域森林群落不同生长阶段的固碳能力,对于评估森林生态系统的健康状况具有重要意义。本研究以中国温带典型优势树种落叶松林为研究对象,分别选择其芽萌动期、展叶期和落叶期时段的Sentinel-2影像,采用多元线性回归（MLR）、随机森林（RF）、支持向量机回归（SVR）、前馈反向传播神经网络（BP）以及多元自适应回归样条（MARS）等5种方法依次构建落叶松林龄反演模型。通过相关性分析首先确定最佳遥感反演物候期,并在此基础上根据相关性差异筛选出5个最优特征变量用于模型反演,分别为冠层含水量（CWC）,归一化水体指数（NDWI）,叶面积指数（LAI）,光合有效辐射吸收率（FAPAR）和植被覆盖度（FVC）。研究结果表明,展叶期为落叶松林最佳遥感反演物候期。除植被衰减指数（PSRI）以及落叶期的NDVI、RVI外,落叶松林龄与各指标之间均呈负相关关系,其中与冠层含水量（CWC）的相关性最高,pearson相关系数达到-0.74（p<0.01）。此外,不同模型反演结果表明,随机森林模型（RF）为最佳落叶松林龄估测模型,其平均决定系数R²和平均均方根误差RMSE分别为0.89和2.91 a;多元线性回归模型（MLR）的林龄估测结果最差,其平均决定系数R²和平均均方根误差RMSE仅为0.57和5.69 a,非线性模型能更好的解释林龄与建模变量之间的关系。     

宣传贯彻《矿产资源法》促进依法治矿

《矿产资源法》颁布实施五周年,通过宣传贯彻,增强了广大干部、群众依法办矿的法制观念,推动了各项矿管工作的开展,依法办矿的矿山取得了采矿权,非法采矿的小矿山被关闭,违法行为受到查处,矿管部门的声望越来越高,促讲了依法治矿。宣传贯彻《矿产资源法》要领导首先学法,提高认识,加强领导,建立一支专兼结合的宣传队伍,采取多种形式有重点地进行宣传教育。我国、我省面临矿产资源形势是严峻的,浪费矿产资源的现象仍存在,要继续深入宣传贯彻《矿产资源法》。     

祁连山林区大气降水特征与森林对降水的截留作用

通过对连山寺大隆林区定位站1975－2000年的降水特征与森林对降水的再分配分析，建立了祁连山大隆林区降水与温度，降水与湿度，林冠截留的关系式。该区多年平均降水量为433.5mm，年变幅在326.4-539.7mm;降水量最大出现在夏季，占全年降水量的65．70％；海拔高度每升高100m，年了量平均递增4．55％，林区温度和湿度均与降水有较好的拟合关系。青海云杉林与祁连圆柏林林冠对大气降水的平均截留率分别为37．5％，31．7％，灌木林的截留率平均高达66．5％。青海云杉林林冠层平均截留率随着降雨量的增大逐渐减小，当降雨量为18.67mm时，林冠截留量达到最大，为14.72mm；青海云杉树干径流量占降水量的0．51％，当降雨量超过12.0mm时，才开始产生树干径流。青海云杉林枯枝落叶层对降雨的截留量随降雨量级增加而增大，截留率则随降雨量减小而增大，枯枝落叶层所具有的截留降雨和调蓄降雨作用使祁连山林区基本不发生地表径流。分析结果表明，祁连山林区对水源涵养和水流出山的时间调控有重要意义。     

Inequalities, institutions, and forest commons

This paper contributes to a growing literature on the commons that examines the relationship between inequality and commons outcomes. Our analysis of evidence on forest commons outcomes in 228 cases from South Asia (India and Nepal), East Africa (Kenya and Uganda) and Latin America (Mexico and Bolivia) suggests that local governance and collective action matter in shaping how socioeconomic inequalities affect forest conditions. In particular, we find that both inter-group and intra-group economic inequalities have consistently negative effects on forest outcomes, but that effectively functioning local institutions for collective action dampen the negative effect of inter-group inequality on forest outcomes.     

对地震文书档案OA管理及应用的几点认识和建议

对山西省地震局地震文书档案OA管理系统作简要介绍,分析其系统运行优点和注意事项,同时,结合目前档案管理工作的实际情况,对今后OA管理系统的运行提出可行性建议。     

工程项目中的目标管理

将投资方、建设者及工程利益方的建设期望与硬性要求具体化,以此形成项目目标,然后根据项目的结构特点对项目目标层层分解,建立工作分解结构（Work Breakdown Structure）,二者形成目标矩阵和目标系统,作为工程项目的管理对象,可以让工程项目管理目标明确;对目标系统中的重要目标加强监控,设置对应监管岗位,然后利用PDCA循环实施目标管理,可以尽可能减少目标执行中的偏离。各大目标间管理的动态平衡是目标管理的基本特点。     

Remotely sensed estimation of forest canopy density: A comparison of the performance of four methods

In recent years, a number of alternative methods have been proposed to predict forest canopy density from remotely sensed data. To date, however, it remains difficult to decide which method to use, since their relative performance has never been evaluated. In this study the performance of: (1) an artificial neural network, (2) a multiple linear regression, (3) the forest canopy density mapper and (4) a maximum likelihood classification method was compared for prediction of forest canopy density using a Landsat ETM+ image. Comparison of confusion matrices revealed that the regression model performed significantly worse than the three other methods. These results were based on a z-test for comparison of weighted kappa statistics, which is an appropriate statistic for analysis of ranked categories. About 89% of the variance of the observed canopy density was explained by the artificial neural networks, which outperformed the other three methods in this respect. Moreover, the artificial neural networks gave an unbiased prediction, while other methods systematically under or over predicted forest canopy density. The choice of biased method could have a high impact on canopy density inventories.