淮河流域是中国南北气候重要的过渡带,气象灾害频繁发生。这里水网、农田、丘陵、山地、城镇密布,地-气作用复杂,干冷与暖湿空气时常交汇于此,造成局地或流域旱涝经常发生。淮河流域处于梅雨区,且是中国重要的农业生产基地,具有气象和...淮河流域是中国南北气候重要的过渡带,气象灾害频繁发生。这里水网、农田、丘陵、山地、城镇密布,地-气作用复杂,干冷与暖湿空气时常交汇于此,造成局地或流域旱涝经常发生。淮河流域处于梅雨区,且是中国重要的农业生产基地,具有气象和水文综合观测系统,积累了长序列的气象和水文观测资料。因此,淮河流域是研究能量和水分循环的理想试验区。国家自然科学基金重大项目"淮河流域能量与水分循环试验和研究(HUaihe river Basin Experiment,简称HUBEX)"于1998、1999年夏在淮河流域开展了气象和水文联合观测试验。文中回顾了HUBEX试验的目的、观测网设计与布局,介绍了HUBEX推动下的淮河流域综合观测网的发展,总结了HUBEX观测试验对区域气候事件和暴雨等灾害性天气机理研究、提高模式模拟和预报能力及建立长期连续的气象观测数据集等方面的成果和作用。展开更多
There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analys...There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analysis. This paper proposes a data pre-processing model based on intelligent algorithms. Firstly, we introduce the integrated network platform of ocean observation. Next, the preprocessing model of data is presemed, and an imelligent cleaning model of data is proposed. Based on fuzzy clustering, the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering. The proposed dynamic algorithm can automatically f＇md the new clustering center with the updated sample data. The rapid and dynamic performance of the model makes it suitable for real time calculation, and the efficiency and accuracy of the model is proved by test results through observation data analysis.展开更多
The construction of a comprehensive observation platform for natural-resource elements would provide data support for studies of dynamic changes in various natural resources,and could serve the needs of natural-resour...The construction of a comprehensive observation platform for natural-resource elements would provide data support for studies of dynamic changes in various natural resources,and could serve the needs of natural-resource management and the construction of ecological civilization during a period of global change.As the second-largest inland river basin in NW China,the Heihe River Basin(HRB)lies in the central part of the Silk Road Economic Belt,consequently,pilot studies of resource management in the basin are urgently needed.This paper describes the construction of a comprehensive natural-resource elements observation network in the HRB to meet requirements for natural-resource management,based on natural-resource and Earth-system science.Based on current observations and research,thirteen observation stations were established in different river basins through integration with existing stations,reconstruction and upgrading,and new construction.The main types of land-surface resources in the HRB(grassland,forests,rivers,lakes,deserts,wetlands,and farmland)were included in the observation network constructed for the monitoring of natural-resource elements.Long-term,continuous,and stable observation can yield key data concerning coupling processes,trends of change,and rates of change in natural resources.This is of great significance in improving cognitive ability,scientific management,and strategic decision-making regarding natural resources in the HRB,and can provide a reference paradigm for the observation of and research into natural resources in other basins.展开更多
文摘淮河流域是中国南北气候重要的过渡带,气象灾害频繁发生。这里水网、农田、丘陵、山地、城镇密布,地-气作用复杂,干冷与暖湿空气时常交汇于此,造成局地或流域旱涝经常发生。淮河流域处于梅雨区,且是中国重要的农业生产基地,具有气象和水文综合观测系统,积累了长序列的气象和水文观测资料。因此,淮河流域是研究能量和水分循环的理想试验区。国家自然科学基金重大项目"淮河流域能量与水分循环试验和研究(HUaihe river Basin Experiment,简称HUBEX)"于1998、1999年夏在淮河流域开展了气象和水文联合观测试验。文中回顾了HUBEX试验的目的、观测网设计与布局,介绍了HUBEX推动下的淮河流域综合观测网的发展,总结了HUBEX观测试验对区域气候事件和暴雨等灾害性天气机理研究、提高模式模拟和预报能力及建立长期连续的气象观测数据集等方面的成果和作用。
基金Key Science and Technology Project of the Shanghai Committee of Science and Technology, China (No.06dz1200921)Major Basic Research Project of the Shanghai Committee of Science and Technology(No.08JC1400100)+1 种基金Shanghai Talent Developing Foundation, China(No.001)Specialized Foundation for Excellent Talent of Shanghai,China
文摘There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analysis. This paper proposes a data pre-processing model based on intelligent algorithms. Firstly, we introduce the integrated network platform of ocean observation. Next, the preprocessing model of data is presemed, and an imelligent cleaning model of data is proposed. Based on fuzzy clustering, the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering. The proposed dynamic algorithm can automatically f＇md the new clustering center with the updated sample data. The rapid and dynamic performance of the model makes it suitable for real time calculation, and the efficiency and accuracy of the model is proved by test results through observation data analysis.
基金The National Key Research and Development Program of China(2018YFA0606500)The Special Project for Comprehensive Monitoring of The Natural Resources(Xining Center)(DD20211627)+1 种基金The Comprehensive Observation of Natural-resource Elements in Heihe River Basin(DD20208065)The Investigation of Groundwater Flow Field in Key Areas(Xi’an Center)(DD20211563)。
文摘The construction of a comprehensive observation platform for natural-resource elements would provide data support for studies of dynamic changes in various natural resources,and could serve the needs of natural-resource management and the construction of ecological civilization during a period of global change.As the second-largest inland river basin in NW China,the Heihe River Basin(HRB)lies in the central part of the Silk Road Economic Belt,consequently,pilot studies of resource management in the basin are urgently needed.This paper describes the construction of a comprehensive natural-resource elements observation network in the HRB to meet requirements for natural-resource management,based on natural-resource and Earth-system science.Based on current observations and research,thirteen observation stations were established in different river basins through integration with existing stations,reconstruction and upgrading,and new construction.The main types of land-surface resources in the HRB(grassland,forests,rivers,lakes,deserts,wetlands,and farmland)were included in the observation network constructed for the monitoring of natural-resource elements.Long-term,continuous,and stable observation can yield key data concerning coupling processes,trends of change,and rates of change in natural resources.This is of great significance in improving cognitive ability,scientific management,and strategic decision-making regarding natural resources in the HRB,and can provide a reference paradigm for the observation of and research into natural resources in other basins.
