大坝健康监测(Dam Health Monitoring, DHM)模型提供了大坝响应的估计值,如坝顶位移、混凝土应力等,能够得到大坝安全的性态并进行监控和预警,对大坝智慧化管理十分重要。文章详细介绍了DHM模型的实现流程和基本框架,深入阐述了确定性模...大坝健康监测(Dam Health Monitoring, DHM)模型提供了大坝响应的估计值,如坝顶位移、混凝土应力等,能够得到大坝安全的性态并进行监控和预警,对大坝智慧化管理十分重要。文章详细介绍了DHM模型的实现流程和基本框架,深入阐述了确定性模型3种实现方法,即有限元法、有限差分法和离散元法的发展现状以及主要存在的问题,以期为大坝管理人员提供最新的基础性研究成果。展开更多
Increasing complexity of distributed hydrological model （DHM） has lowered the efficiency of convergence.In this study,global sensitivity analysis （SA） was introduced by combining multiobjective （MO） optimization...Increasing complexity of distributed hydrological model （DHM） has lowered the efficiency of convergence.In this study,global sensitivity analysis （SA） was introduced by combining multiobjective （MO） optimization for DHM calibration.Latin Hypercube-once at a time （LH-OAT） was adopted in global parameter SA to obtain relative sensitivity of model parameter,which can be categorized into different sensitivity levels.Two comparative study cases were conducted to present the efficiency and feasibility by combining SA with MO（SA-MO）.WetSpa model with non-dominated sorting genetic algorithm-Ⅱ （NSGA-Ⅱ） algorithm and EasyDHM model with multi-objective sequential complex evolutionary metropolis-uncertainty analysis （MOSCEM-UA）algorithm were adopted to demonstrate the general feasibility of combining SA in optimization.Results showed that the LH-OAT was globally effective in selecting high sensitivity parameters.It proves that using parameter from high sensitivity groups results in higher convergence efficiency.Study case Ⅰ showed a better Pareto front distribution and convergence compared with model calibration without SA.Study case Ⅱ indicated a more efficient convergence of parameters in sequential evolution of MOSCEM-UA under the same iteration.It indicates that SA-MO is feasible and efficient for high dimensional DHM calibration.展开更多
Mining activity in Brazil has significantly contributed to the country development.However,this contribution is not always fully noticed by society.This study aims to bring more evidence to this mining activity contri...Mining activity in Brazil has significantly contributed to the country development.However,this contribution is not always fully noticed by society.This study aims to bring more evidence to this mining activity contribution,based on highly regarded development indicators,such as the HDI(Human Development Index),created by the UNDP(United Nations Development Programme).The HD1 was traditionally designed as an instrument to evaluate the degree of countries development and was subsequently deployed to states and municipalities(IDHM(Municipal Human Development Index)for Brazilian municipalities).In addition to lDHM released by the UNDP,FIRJAN(Federation of the Industries of the State of Rio de Janeiro)developed its own IFDM(FIR JAN Municipal Development Index).The statistical analysis shows that the average of the municipalities with mining activities has superior development indices than those with non-mining activities,especially in the two major mining states:Minas Gerais and Parfi.展开更多
文摘大坝健康监测(Dam Health Monitoring, DHM)模型提供了大坝响应的估计值,如坝顶位移、混凝土应力等,能够得到大坝安全的性态并进行监控和预警,对大坝智慧化管理十分重要。文章详细介绍了DHM模型的实现流程和基本框架,深入阐述了确定性模型3种实现方法,即有限元法、有限差分法和离散元法的发展现状以及主要存在的问题,以期为大坝管理人员提供最新的基础性研究成果。
基金National Basic Research Program(973)of China(No.2010CB951102)Innovative Research Groups of the National Natural Science Foundation,China(No.51021006)National Natural Science Foundation of China(No.51079028)
文摘Increasing complexity of distributed hydrological model （DHM） has lowered the efficiency of convergence.In this study,global sensitivity analysis （SA） was introduced by combining multiobjective （MO） optimization for DHM calibration.Latin Hypercube-once at a time （LH-OAT） was adopted in global parameter SA to obtain relative sensitivity of model parameter,which can be categorized into different sensitivity levels.Two comparative study cases were conducted to present the efficiency and feasibility by combining SA with MO（SA-MO）.WetSpa model with non-dominated sorting genetic algorithm-Ⅱ （NSGA-Ⅱ） algorithm and EasyDHM model with multi-objective sequential complex evolutionary metropolis-uncertainty analysis （MOSCEM-UA）algorithm were adopted to demonstrate the general feasibility of combining SA in optimization.Results showed that the LH-OAT was globally effective in selecting high sensitivity parameters.It proves that using parameter from high sensitivity groups results in higher convergence efficiency.Study case Ⅰ showed a better Pareto front distribution and convergence compared with model calibration without SA.Study case Ⅱ indicated a more efficient convergence of parameters in sequential evolution of MOSCEM-UA under the same iteration.It indicates that SA-MO is feasible and efficient for high dimensional DHM calibration.
文摘Mining activity in Brazil has significantly contributed to the country development.However,this contribution is not always fully noticed by society.This study aims to bring more evidence to this mining activity contribution,based on highly regarded development indicators,such as the HDI(Human Development Index),created by the UNDP(United Nations Development Programme).The HD1 was traditionally designed as an instrument to evaluate the degree of countries development and was subsequently deployed to states and municipalities(IDHM(Municipal Human Development Index)for Brazilian municipalities).In addition to lDHM released by the UNDP,FIRJAN(Federation of the Industries of the State of Rio de Janeiro)developed its own IFDM(FIR JAN Municipal Development Index).The statistical analysis shows that the average of the municipalities with mining activities has superior development indices than those with non-mining activities,especially in the two major mining states:Minas Gerais and Parfi.
