模式内部变率引起的1.5℃和2℃升温阈值出现时间模拟的不确定性研究

模式内部变率是模拟结果不确定性的重要来源,然而它对于1.5℃和2℃升温阈值出现时间不确定性的影响尚不清楚。因此,基于耦合模式比较计划第五阶段(CMIP5)的多模式数据研究了模式内部变率对1.5℃和2℃升温阈值出现时间不确定性的影响以及对未来排放情景的敏感性。结果表明,模式内部变率对升温阈值出现时间模拟的影响与外强迫的影响相当,单个模式内部不同成员达到全球平均1.5℃或2℃增温的年份相差2~12年;其影响具有明显的空间差异,影响极大值出现在欧亚大陆以北洋面、白令海峡周围区域、北美东北部及其与格陵兰岛之间的海域、南半球高纬地区等;低排放情景下模式内部变率的影响大于高排放情景。     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models: An Empirical Validation of ISWRidge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p 〈0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to cheek the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height （X1 ） and potential energy （X2 ） significantly impact （p 〈 0. 0001 ） the amplitude-based refleeted rate; the P-values for the deviance and Pearson are all 〉 0.05 （0.2839, 0.3438, respectively）. That is, the goodness-of-fit between ridge height （ X1 ） and potential energy （X2） can further predict parameters under the scenario of the best parsimonious model. Investigation of 6 predictive powers （ R2, Max-rescaled R^2, Sorners＇ D, Gamma, Tau-a, and c, respectively） indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models： An Empirical Validation of ISW-Ridge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p<0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to check the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height (X1) and potential energy (X2) significantly impact (p<0.0001) the amplitude-based reflected rate; the P-values for the deviance and Pearson are all >0.05 (0.2839, 0.3438, respectively). That is, the goodness-of-fit between ridge height (X1) and potential energy (X2) can further predict parameters under the scenario of the best parsimonious model.Investigation of 6 predictive powers (R2, Max-rescaled R2, Somers'D, Gamma, Tau-a, and c, respectively) indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

小城镇用地中存在的问题及对策

一、小城镇土地利用现状分析 （一）城镇用地内部布局不合理,土地利用率低 近年来,小城镇建设进入迅速扩展期,县以下的城镇建设大部分是外延扩大,占用土地多为优质耕地;不少小城镇建筑布局混乱,道路建设不规范;工业用地、居住用地交叉布置;功能分区不明显,城镇内边角空地随处可见,这些严重阻碍了城镇功能的发挥。因此,旧城区已经成为小城镇土地低效利用的主要方面。     

航空重力垂直梯度探测潜艇方法研究

航空重力梯度测量属于被动探测,抗干扰能力强,如果能和其他探潜手段相配合将极大地提高航空搜潜的效率。针对航空重力梯度测量是否能够用于探测潜艇的问题,依据俄亥俄级弹道导弹核潜艇的结构特点,建立了适用于重力梯度计算的潜艇模型,分别给出了潜艇外壳、内部质量亏损产生的重力垂直梯度的计算方法,并对不同精度重力梯度仪可探测的潜艇重力垂直梯度值进行了计算,从航空反潜的角度对探测潜艇效果进行了分析。经计算表明,如航空重力梯度仪精度达到10~(-2) E,将具备一定的实际探潜效能;如精度达到10~(-4) E,反潜机搜索宽度可与现有航空磁性探潜相当。     

北京市出租车OD流多尺度空间预测深度重力模型及其可解释性研究

准确预测城市内部OD流对于优化城市交通运行效率、提高资源利用率以及促进城市可持续性发展具有重要作用。现有研究大多基于单一尺度利用地理位置之间大量的历史流量来预测未来的流量,尚未有研究充分探究不同空间尺度下OD流预测可能存在的重要特征或建模精度差异等问题。本研究以北京市出租车轨迹为例,采用深度重力模型（Deep Gravity）对不同空间尺度下的轨迹OD流进行预测。同时,引入SHAP值（SHapley Additive exPlanations）揭示不同尺度下影响OD流预测建模的重要特征。结果表明：(1)相比于重力模型和辐射模型,街道尺度下深度重力模型的OD流预测精度最高（CPC值高达0.83）,且成功捕捉到了北京市早晚高峰时段的OD流网络整体结构,呈现出“环形散射状”特征;(2)在本研究所选各空间尺度下,对OD流预测精度影响最大的4个特征均为O、D点之间的出行距离,O、D点周围公司企业数量、餐饮服务数量以及购物服务数量;(3)同一特征对OD流预测模型的局部影响不同于全局,如科教文化和体育休闲类POI在全局尺度下对模型影响较小,但在局部尺度下却表现出极大的影响。     

小议内部审计在企业中的应用

企业管理是企业为实现一定目的而合理的组织人力、物力、财力等各种因素,有计划的指挥、调节、监督经济活动的各种职能的总称。内部审计与企业管理的关系是由内部审计在企业管理中的职能和作用决定的。内部审计服务于企业管理,同时受企业管理的制约。     

柔性水囊潜堤消波特性的溃坝水槽试验研究

柔性水囊潜堤由橡胶制成,内部充水,具有结构简单、造价低廉等优点,能较好满足人工岛、跨海桥梁、海洋平台等基础设施建设工程对简单便携、拆装方便的临时防波堤的需求。为了探究柔性水囊潜堤的消波特性,在溃坝水槽内开展溃坝波与半圆柱形柔性水囊潜堤相互作用的试验研究,重点探究柔性水囊潜堤与溃坝波相互作用过程中水位变化特性,并与半圆柱刚性潜堤的性能进行比较;同时分析柔性水囊潜堤内部初始水压和浸没深度等参数对其消波性能的影响。结果表明：柔性水囊潜堤能够用作临时防波堤来衰减波浪;与半圆柱刚性潜堤相比,柔性水囊潜堤在降低溃坝波无量纲最大水位、提高消波性能方面更具优势;内部初始水压是影响柔性水囊潜堤消波性能的重要因素,适当降低内部初始水压,有利于增强柔性潜堤的变形程度,进而增加波能耗散,可获得更好的消波效果;而增加浸没深度即潜深,会使得柔性水囊潜堤对溃坝波的影响程度降低,消波效果减弱。     

具有内波特性的渤海南部次重力波

次重力波(infragravity waves)是频率范围介于局地平均Brunt-V¾is¾l¾频率和0.05Hz(涌浪频率)之间的一种海洋波动,其能量在深水大洋中一般甚低,但在浅海中却很强.该波动的研究对于浅海海洋内部混合、近岸海洋工程、海洋生态学、海洋沉积学及军事海洋学均有重要的意义.Munk[1]很早就开始研究这类波动,然而主要由于观测技术的限制,对于该类波动的动力学机制的研究进展迟缓.     

土地开发整理工程结算审计的探讨

土地开发整理项目完工后应进行工程结算审计,结合2007年国家和省投资土地开发整理项目实施管理情况,从其工作程序和要求着手,指出目前影响工程结算审计客观存在的主要问题,并提出提高审计质量的思考.