高拱坝施工初-中期导流风险模型及应用

面向工程设计阶段,采用高拱坝施工动态仿真技术获取施工初-中期挡水度汛面貌数据,综合考虑水文、水力随机性因素,构建高拱坝施工初-中期导流风险模型,提出采用Monte Carlo方法耦合挡水度汛面貌数据和主要随机因素进行风险模型求解的方法。基于风险分析原理提出了导流洞设计的风险判别方法,给出导流洞尺寸设计优化的数学模型和具体步骤。通过金沙江上游某高拱坝工程案例分析的结果表明:所提风险模型及求解方法是适用的、有效的,该模型能够得到整个施工初-中期导流风险率,较为客观地反映高拱坝施工中期度汛可能存在的两种挡水情况,克服了初期导流风险模型的局限性;施工中期导流风险率随导流洞尺寸增大而减小,导流洞尺寸设计的可行方案集存在界限,即优化方案。研究成果可为高拱坝施工导流的风险决策和设计优化提供理论支撑。     

Application of PSO-LIBSVM in Recognition of Potassium Salt Deposits

The shortage of potassium salt seriously restricts the development of China's agriculture. Increasing the exploration and development of potash will help improve the self-sufficiency of potassium in China. With rich potassium salt resources, Sichuan basin is one of the most important research areas for potash exploration and development in China. Polyhalite is an important solid potassium salt mineral in Sichuan basin, often intercalated in rock minerals such as anhydrite, rock salt and dolomite. Aiming at the problem that conventional log interpretation methods are difficult to accurately identify polyhalites, this paper proposed a new Support Vector Machine (SVM) recognition method based on Particle Swarm Optimization (PSO) to classify polyhalites in Sichuan basin. Based on particle swarm optimization and support vector machine theory, combined with logging interpretation theory, the effective data sensitive to polyhalite logging response were selected as input samples to generate training sets and test sets randomly. The Radial Basis Function (RBF) parameters were optimized by particle swarm optimization, and the classification and prediction model of polyhalite was established. Compared with mud logging results, the recognition accuracy of SVM model based on particle swarm optimization reached 97.5758%, which is obviously better than that of SVM model optimized by cross validation method in recognition accuracy and speed. The results show that the model has broad application prospects in potash exploration in Sichuan basin.     

基于模拟-优化模型的山东羊庄盆地地下水可开采量研究

为了准确量化与优化地下水水源地开采量,在分析山东羊庄盆地水资源分布特点、开发利用现状及存在问题的基础上,以区域经济发展和水资源可持续利用为前提,通过地质、水文地质资料的整理分析,建立起整个盆地地下水流概念模型;采用Visual Modflow模拟软件,并与优化模型软件Ground-Water Management Process(GWM)相耦合,以水源地开采量最大为目标,以水位不低于限定的控制水位为约束条件,评价出盆地最大可开采量为5 730万m^3/a;进而确定出宋屯、后石湾、南庄、魏庄、西石楼、许坡、龙山头、羊庄、东于、段庄以及王杭水源地的优化开采量分别为0.18万、1.40万、2.56万、1.86万、3.80万、1.70万、0.40万、0.40万、0.50万、1.40万和1.50万m^3/d。     

Optimizing dewatering design for a metro station on the Chengdu Metro Line 7

At present, most calculation results regarding foundation pit dewatering are ideal values, making construction resources prone to being wasted. In order to optimize the traditional pipe well design of large wells, the linear programming solution module in Excel is used, with the total water inflow taken as the objective function, the water level drawdown used as the constraint and test condition, and a station project on the Chengdu Metro Line 7 serving as the subject of this study. The total water inflow of the traditional pipe well design is optimized by the simplex method, producing a total water inflow of 4 040.65 m~3/d, which, compared with 4 829.79 m~3/d, the total water inflow calculated by means of the traditional design optimization method, engenders a reduction of roughly 16% per day. The feasibility of the optimization methodology is verified by the drawdown constraint, which reveals the decrease of construction costs and the diminution of the influence that the lowered groundwater level has on the surroundings of the metro station. Finally, references are provided as to optimizing the dewatering designs for other metro stations in similar engineering and hydrogeological conditions.     

Stability analysis of shotcrete supported crown of NATM tunnels with discontinuity layout optimization

For tunnel constructed by New Austrian Tunnelling Method, the crown is the upper part of tunnel section, constructed during excavation process and supported by shotcrete. The stability of the crown has great influence on the safety of tunnel itself and the buildings above, which correlates, among others, with geometrical setup of tunnel and material properties of shotcrete and soil/rock. In this paper, aiming at analyzing the stability of shotcrete supported crown, a recently presented numerical method discontinuity layout optimization is adopted, which introduces a great amount of potential discontinuities cross over one another and provides a wide search space for efficient upper limit analysis. In the analysis, a well‐established hydration model of cementitious material is implemented for accounting the hydration of shotcrete. Then assumptions based on convergence‐confinement method are used for accounting the 3‐dimensional effect in 2‐dimensional analysis, finally providing time‐space–dependent assessments of stability of shotcrete supported crown.     

吉林省村域尺度下居民点空间分布特征及优化重组模式

乡村聚落的空间优化与重构是提高土地资源利用效率,改善农村生产生活条件,促进乡村可持续发展的重要手段。以吉林省为例,采用核密度估计方法和景观形状指数分析了农村居民点空间分布特征,基于农户调查数据估算了吉林省不同区域的农村宅基地闲置情况,将农村居民点长期存在的“破碎化”和日益突出的“空心化”相结合,提出了在行政村尺度下农村居民点优化重组的“整小填大”新模式。结果表明：① 吉林省农村居民点规模小且零散分布,尤其中部呈破碎化分布,形态不规则,具有较大的整治潜力;② 吉林省农村宅基地平均闲置率为18.32%,西部地区最高（24.48%）,分别高于东部和中部地区约6%和12%;③“整小填大”模式可使农村居民点数量减少44.6%,增加有效耕地面积1 046.66 km²。     

基于相关分析和自适应遗传算法的盐渍化建模变量和参数优选

机器学习结合遥感等其他数据反演土壤盐分含量（Soil Salt Content, SSC）较少关注对模型精度影响较大的建模特征变量和模型参数的优选。本文基于自适应遗传算法（Adaptive Genetic Algorithm, AGA）同步优选建模特征变量和模型参数的支持向量回归（Support Vector Regression, SVR）算法反演三工河流域2016年SSC,并分析其在不同土地利用类型的分布特征。建模特征变量和模型参数的同步优选及实验设计如下：首先基于Landsat 8 OLI和SRTM高程数据提取7类共40个盐渍化相关因子,经相关分析初步筛选出候选特征变量,分别代入AGA、遗传算法（Genetic Algorithm, GA）和格网搜索算法（Grid Search, GS）同步优选SVR的建模特征变量和模型参数,并建立盐渍化监测模型（AGA-SVR、GA-SVR、GS-SVR）。结果表明：① AGA-SVR精度最优,GA-SVR次之,GS-SVR最差,相较于GS-SVR,AGA-SVR的R²/RMSE提高了44.65%;② 三工河流域非、轻度、中度、重度盐渍地和盐土的面积占比分别为42.83%、11.02%、15.88%、9.22%、21.05%;③ 草地和未利用地主要以非盐渍地和盐土为主,耕地和林地中非盐渍地分布比例均为最大;不同土地利用类型的SSC均值和标准差均呈现未利用地>草地>耕地>林地的规律。本研究的建模特征变量和模型参数的优选方法可在一定程度上提高盐渍化监测的精度。关键词：盐渍化;遗传算法;机器学习;特征优选;参数优化;土壤盐分含量;土地利用;相关分析     

Creating adaptive social-ecological fit: The role of regional actors in the governance of Sea-level rise adaptation in San Francisco bay

Sea level rise is one of the most pressing climate adaptation issues around the world. Often, coastal communities are interdependent in their exposure to sea level rise – if one builds a seawall, it will push water to another – and would benefit from a coordinated adaptive response. The literature on social-ecological systems (SES) calls for actors placed at higher levels of governance (e.g. regional government in a metropolitan area) to improve coordination between local managers by serving as brokers. However, we lack empirical insight on how higher-level actors might improve coordination in practice, and theoretical development on the implications of their intermediation. To address these gaps, we study the case of adaptation to sea level rise in the San Francisco Bay Area. We build a social-ecological network of social actors and shoreline segments using original survey data and simulated scenarios of tidal and traffic interdependencies between shoreline segments. We perform a frequency analysis of network motifs that operationalize social-ecological ‘fit’ in the context of the Bay Area. We find that regional actors and non-governmental organizations increase social-ecological fit by providing intermediation between actors who work on different shoreline segments, whether interdependent or not. This shows that these actors provide adaptive social-ecological fit, future-proofing the Bay Area to current and future climate adaptation challenges.     

基于全球闪电定位网的江淮闪电定位网探测效率分析：以台风“利奇马”为例

基于全球闪电定位网(World Wide Lightning Location Network,WWLLN)获取的闪电定位资料对江淮闪电定位网(Jianghuai Area Sferic Array,JASA)在内陆及近海区域的闪电实时探测性能进行评估。通过对2019年第9号超强台风“利奇马”期间产生的闪电活动进行对比分析,发现JASA和WWLLN对台风闪电的径向分布、时间变化和空间变化有较好的一致性,绝大部分闪电发生在云顶亮温小于220 K区域;在台风发展阶段,内核区闪电活动较为频繁,在台风成熟和消亡阶段时,闪电主要分布外雨带,内核区的闪电活动少但集中。在探测效率方面,JASA对江淮区域实时定位到的闪电数远多于WWLLN,相对探测效率和绝对探测效率分别为69.12%和92.51%。而在海洋区域(114～130°E,20～24°N和123～130°E,24～32°N),由于受到JASA站点位置分布的限制,闪电实时定位数略少于WWLLN,其相对探测效率和绝对探测效率分别为32.67%和52.26%。研究结果表明了JASA对内陆及近海区域雷暴具备较强的捕获能力,为实时监测台风期间强对流闪电...     

WiFi指纹定位的一种新组合算法

探讨AP选取策略和贝叶斯位置估计算法对基于RSS的WiFi室内定位技术位置估计精度的影响。国内外学者分别对AP选取算法和贝叶斯位置估计算法进行了大量的研究。为了进一步深入研究不同算法的优劣性,利用组合优化的思想对不同算法进行组合,通过找出最优算法组合从而提升WiFi室内定位系统的性能。基于互信息最小化的AP选取策略和考虑AP相关性的贝叶斯位置估计算法,提出一种新的WiFi指纹定位组合算法。实验分析表明:新算法具有良好的实用性和定位性能。