湘江新区土地利用结构多目标规划及决策偏好分析

土地利用规划需要综合考虑经济效益和生态效益。构建了经济最大化和生态效益最大化2个目标,并运用基于模糊集理论的最大(小)算子法求得兼顾经济效益和生态效益的土地利用模糊最优规划方案。随后重点探讨了不同决策偏好情景下的土地利用优化方案和综合效益的变化。研究结果表明:(1)对经济效益和生态效益的偏好程度不同,主要会导致林地、城镇建设用地和水域面积发生变化;(2)随着决策者对生态效益偏好程度的增加,城镇建设用地面积逐渐减少,林地和水域面积逐渐增加;(3)当经济效益比生态效益重要时,最优的用地规划方案主要是在城镇用地和水域面积之间进行权衡;当生态效益比经济效益重要时,最优的用地规划方案主要是在林地和城镇建设用地之间进行权衡。研究结果对湘江新区进行"资源节约型和环境友好型社会"建设中的多目标土地利用规划具有一定的决策参考价值。     

主流地图应用程序接口在地图质量和实用功能上的对比分析

随着互联网地图的迅速发展,国内外涌现出许多优秀的地图API(Application Programming Interface,应用程序接口),运用API进行地图服务开发能够为开发者提供强大的数据支撑和技术服务。本文针对这些地图API各有优劣点,并且侧重面不尽相同,开发者难以迅速从中选取到最适合于自身应用的接口问题,对目前主流的地图API进行分析比较,国外选取谷歌和ESRI,国内选取百度、高德和天地图,比较这几种地图API的地图质量、服务类型和侧重方向,以期能够为广大开发者利用地图API进行开发时提供选择依据。     

水-岩作用的线性规划模型与应用研究——以溪洛渡水电工程为例

采用水-岩作用热力学模拟的方法,以溪洛渡水电站工程为实例,从水化学方面对坝区复杂水文地质条件作了定量分析评价。研究成果充分反映了水-岩作用这种物理化学反应的结果,同时也为正确评价溪洛渡水电站复杂水文地质条件提供了可靠的依据。     

Using computational intelligence techniques to model subglacial water systems

Measurements of water pressure beneath Trapridge Glacier, Yukon Territory, Canada show that the basal water system is highly heterogeneous. Three types of behaviour were recorded: pressure records which are strongly correlated, records which are strongly anticorrelated, and records which alternate between strong correlation and strong anticorrelation. We take the pressure in bore-holes that are connected to the evacuation route for basal water as the forcing, and the other pressures as the response to this forcing. Previous work (Murray and Clarke 1995) has shown that these relationships can be modelled using low-order nonlinear differential equations optimized by inversion. However, despite optimizing the model parameters we cannot be sure that the final model forms are themselves optimal. Computational intelligence techniques provide alternative methods for fitting models and are robust to missing or noisy data, applicable to non-smooth models, and attempt to derive optimal model forms as well as optimal model parameters. Four computational intelligence techniques have been used and the results compared with the more conventional mathematical model. These methods were genetic programming, artificial neural networks, fuzzy logic and self-organizing maps. We compare each technique and offer an evaluation of their suitability for modelling the pressure data. The evaluation criteria are threefold: (1) goodness of fit and an ability to predict subsequent data under different surface weather conditions; (2) interpretability, and the extent and significance of any new insights offered into the physics of the glacier; (3) computation time. The results suggest that the suitability of the computational intelligence techniques to model these data increases with the complexity of the system to be modelled.     

大地电磁三维正演并行算法研究

大地电磁法三维正演算法计算量大,用传统的串行程序计算相当耗时。而三维正演是逐个频率按顺序计算的,并行性好,适合并行运算。结合MPI自身的优越性,在深入分析大地电磁三维正演串行程序实现流程的基础上,确定了并行计算的思路,实现了三维正演的并行计算。通过三个理论模型对实现的三维正演并行程序进行了试算,分析对比了在多种情况下程序的执行效率。测试结果表明,所实现的三维正演并行程序运行结果正确,效率提高明显。此思路可为解决其它地球物理超大计算量问题所借鉴。     

Shake table investigation on the seismic performance of hospital equipment supported on wheels/casters

This paper presents an experimental investigation on the seismic response of medical equipment supported on wheels and/or casters. Two pieces of equipment were tested: a large ultrasound machine and a cart carrying smaller medical equipment. In the first phase, the resistance of the wheels and casters of the equipment was characterized through a controlled‐displacement procedure on the shake table. In the second phase, an extensive shake table test program was carried out to investigate the seismic response of the equipment. The input signals for the shake table tests included floor motions of a four‐story steel braced‐frame hospital designed to satisfy seismic requirements of a site in the Los Angeles area. The results of 96 shake table tests reported in this study include the seismic performance of the equipment under both unlocked and locked conditions, located on various floor levels of the building. It was observed that engaging the casters' locking mechanism does not necessarily decrease the relative displacement. The displacement response was sensitive to the excitation intensity and the orientation of the equipment with respect to the input excitation. Based on the experimental observations, appropriate structural engineering demand parameters associated with the relative displacement and relative velocity demands of the equipment are proposed and used to develop conditional probability curves. Finally, in an effort to extend the results of this experimental study to similar equipment on wheels/casters, the performance of a simple numerical model in predicting the peak seismic demands is evaluated. Copyright © 2016 John Wiley & Sons, Ltd.     

Data-based modelling approach for variable density flow and solute transport simulation in a coastal aquifer

Data-based models, namely artificial neural network (ANN), support vector machine (SVM), genetic programming (GP) and extreme learning machine (ELM), were developed to approximate three-dimensional, density-dependent flow and transport processes in a coastal aquifer. A simulation model, SEAWAT, was used to generate data required for the training and testing of the data-based models. Statistical analysis of the simulation results obtained by the four models show that the data-based models could simulate the complex salt water intrusion process successfully. The selected models were also compared based on their computational ability, and the results show that the ELM is the fastest technique, taking just 0.5 s to simulate the dataset; however, the SVM is the most accurate, with a Nash-Sutcliffe efficiency (NSE) ≥ 0.95 and correlation coefficient R ≥ 0.92 for all the wells. The root mean square error (RMSE) for the SVM is also significantly less, ranging from 12.28 to 77.61 mg/L.     

落地通信基站机房地震易损性及震后功能失效概率评估

机房是移动通信基站的重要组成部分,其地震易损性将决定基站在震后的功能状态,即基站所辖范围内的移动通信服务在震后是否可以正常使用。在对我国北方某市典型落地通信基站机房进行实地考察的基础上,确定了影响机房地震后使用功能的重要设施（即基站板房、内部走线架、通信机柜和蓄电池组）;随后采用有限元软件ABAQUS分别建立了这些设施的数值模型,通过Pushover分析确定了每种设施的损伤模式、损伤水平评价指标及其数值;通过IDA分析得到了每种设施的抗震性能,并通过对IDA分析结果的统计得到了这些重要设施的地震易损性曲线;最后,给出了基于故障树模型的典型通信基站机房震后功能评估的方法。该工作将作为基本环节用于城市及地区移动通信系统的地震后功能状态评估与预测。     

青海省主体功能区规划研究

主体功能区规划是优化国土开发格局,推动区域协调发展的一项重大战略决策。根据《国务院关于编制主体功能区规划的意见》和国家《省级主体功能区划分技术规程》的总体要求,利用遥感、地理信息系统等空间分析技术和手段,以及专家咨询等方法,对全省的国土空间进行综合分析评价,提出主体功能区试划方案,进而为编制全省主体功能区规划奠定科学基础。     

1988-2016年洞庭湖大型底栖动物群落变化及驱动因素分析

洞庭湖是我国第二大淡水湖泊,其水文条件对湖泊湿地生态系统健康的维系发挥着不可替代的作用.近年来,水环境恶化日益威胁湖区水生态系统健康.然而,有关底栖动物水生态健康评价的研究仍然停留在物种群落结构方面,缺乏底栖动物群落功能对水污染响应的研究,尤其在较长时间尺度上.因而,本研究分析了19882016年近30 a来洞庭湖的水质和底栖动物群落数据,探寻底栖动物群落功能对水环境恶化的响应规律.结果表明,洞庭湖水体总氮浓度是威胁底栖动物物种和功能群落变动的主要因素.此外,不断恶化的水环境驱动底栖动物物种和功能群落结构改变,表现为敏感水生昆虫的比例下降,寡毛类、小型软体动物比例的上升,并伴随着体长为1.00~1.99 cm、背扁型、侧扁型、不移动等功能性状类别比例的下降.同时,水环境恶化降低物种丰富度、功能丰富度和劳氏二次熵多样性.基于距离的冗余分析结果显示,水体氮营养盐、重金属离子和有机污染物共同驱动底栖动物物种群落结构的变异,而营养盐类与无/有机污染物决定着其功能群落结构的变异.鉴于洞庭湖水质不断恶化的状况,本研究建议采取一系列措施,包括合理管控湖区周边废水直排入湖、取缔湖区内的非法采砂以及调控枯水季洞庭湖水位等.生物监测和评价方面,建议将底栖动物物种和功能群落一并纳入评价体系,且优先选用物种丰富度、功能丰富度和劳氏二次熵指数评估换水周期较短的大型浅水湖泊水质变化对底栖动物物种和功能多样性的影响.