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干旱指标和Copula函数在干旱事件多变量频率分析中的应用

ABSTRACT第7-9页
摘要第10-24页
Chapter 1. Introduction第24-36页
    1.1 Background to the study第24-25页
    1.2 Drought characteristics第25-26页
    1.3 Classification of drought第26-28页
    1.4 Drought index and drought identification第28-31页
    1.5 Probabilistic Characterization of Drought第31页
    1.6 Copula and Drought Frequency Analysis第31-34页
    1.7 Research Gap第34-35页
    1.8 General Aims and Objectives第35-36页
Chapter 2. Study Area and Data第36-41页
    2.1 Study Area第36-37页
    2.2 Study sites and data第37-38页
    2.3 Drought Coverage Area第38-39页
    2.4 Structure of the research第39-41页
Chapter 3. Drought Indices and Univariate Analysis第41-72页
    3.1 Drought Index and Univariate Analysis第41页
    3.2 Methodology第41-50页
        3.2.1 Descriptive statistics第41-42页
        3.2.2 Potential evapotranspiration第42-43页
        3.2.3 Computation of Drought Indices第43-46页
            3.2.3.1 Standardized Precipitation Index第43-44页
            3.2.3.2 Standardized Precipitation Evapotranspiration Index第44页
            3.2.3.3 Composite Index第44-45页
            3.2.3.4 Effective Drought Index第45-46页
        3.2.4 Drought event identification and characterization第46-47页
        3.2.5 Selection of appropriate marginal distributions第47-48页
        3.2.6 Evaluation criteria第48-49页
        3.2.7 Estimation of Univariate Drought Return Period第49-50页
        3.2.8 Spatial interpolation第50页
    3.3 Results and Discussion第50-71页
        3.3.1 Spatiotemporal variations of climatic variables第50-51页
        3.3.2 Drought indices and their frequency distribution第51-54页
        3.3.3 Drought Characteristics第54页
        3.3.4 The Spatial and Temporal extent of Drought Characteristics第54-59页
            3.3.4.1 Spatial extent of Drought Characteristics第54-56页
            3.3.4.2 Temporal extent of Severe Drought events第56-59页
        3.3.5 Correlation of Drought Characteristics第59-61页
        3.3.6 Estimation of Effective drought index第61-64页
        3.3.7 Marginal distribution fit of drought variables第64-66页
        3.3.8 Univariate Return Period Analyses第66-67页
        3.3.9 Relative performance of drought indices第67-71页
    3.4 Brief summary第71-72页
Chapter 4. Frequency analysis using Two-Variate Archimedean Copula第72-99页
    4.1 Background of two-variate joint copula第72页
    4.2 Methodology第72-79页
        4.2.1 Theoretical aspects of copula functions第72-73页
        4.2.2 Bivariate Archimedean copulas第73-74页
        4.2.3 Copulas Parameter Estimation第74-76页
        4.2.4 Selecting the Best Copula Family第76-77页
        4.2.5 Probabilities of Drought Events第77-78页
            4.2.5.1 Bivariate joint occurrence probability第77-78页
            4.2.5.2 Bivariate joint Conditional probability第78页
        4.2.6 Return Periods of Drought Events第78-79页
            4.2.6.1 Bivariate joint return period第78-79页
            4.2.6.2 Conditional joint return period第79页
    4.3 Results and Discussion第79-98页
        4.3.1 Analysis of drought climatology第79页
        4.3.2 Drought Event Characterization第79-80页
        4.3.3 Analyzing trivariate dependence between drought variables第80-83页
        4.3.4 Estimation of bivariate joint distributions第83-85页
        4.3.5 Regional Characteristics of drought events第85-95页
            4.3.5.1 Regional joint probability of drought events第85-88页
            4.3.5.2 Regional bivariate return period of drought events第88-95页
        4.3.6 Spatial Characteristics of drought events第95-98页
            4.3.6.1 Spatial distribution of drought probabilities第95-96页
            4.3.6.2 Spatial pattern of bivariate drought return period第96-98页
    4.4 Brief Conclusion第98-99页
Chapter 5. Frequency analysis using Three-Variate Archimedean Copula第99-118页
    5.1 Background of Three-Variate Copula第99页
    5.2 Methodology第99-103页
        5.2.1 Empirical trivariate distribution of drought variables第99-100页
        5.2.2 Trivariate cumulative probability distribution of drought variables第100页
        5.2.3 Trivariate dependence modeling of droughts using Archimedean copula第100-102页
        5.2.4 Selection of appropriate Trivariate copula family第102页
        5.2.5 Trivariate frequency analysis of droughts第102-103页
            5.2.5.1 Trivariate joint occurrence probability of drought events第102-103页
            5.2.5.2 Trivariate return period of drought events第103页
    5.3 Results and Discussions第103-117页
        5.3.1 Copula-based joint dependence modeling of drought variables第103-107页
        5.3.2 Comparison of multivariate probability of drought events第107-113页
            5.3.2.1 Regional trivariate joint probability of drought events第107-109页
            5.3.2.2 Spatial pattern of multivariate drought probabilities第109-113页
        5.3.3 Comparison of multivariate return periods of drought events第113-117页
            5.3.3.1 Regional trivariate return period of drought events第113-115页
            5.3.3.2 Spatial pattern of multivariate drought return period第115-117页
    5.4 Brief Conclusion第117-118页
Chapter 6. Frequency analysis using Four-Variate Archimedean Copula第118-135页
    6.1 Background of Four-variate dimensional Copula第118页
    6.2 Methodology第118-122页
        6.2.1Empirical four-variate distribution of drought variables第118-119页
        6.2.2 Joint cumulative probability distribution of drought variables第119页
        6.2.3 Modeling four-variate drought variables using copulas第119-120页
        6.2.4 Selection of appropriate copula function第120-121页
        6.2.5 Four-variate joint drought frequency analysis第121-122页
    6.3 Results and Discussions第122-134页
        6.3.1 Drought variable and four-variate dependence第122-123页
        6.3.2 Marginal Distribution for Inter-arrival time第123-127页
        6.3.3 Copula-based four-variate joint distributions第127-130页
        6.3.4 Four-variate joint drought frequency analysis第130-134页
            6.3.4.1 Regional four-variate probabilities of drought events第130-131页
            6.3.4.2 Regional four-variate return period of drought events第131-132页
            6.3.4.3 Spatial distribution of four-variate probability and return periods第132-134页
    6.4 Brief Summary第134-135页
Chapter 7. Conclusions and suggestions第135-139页
    7.1 General Conclusions第135-137页
    7.2 Future work第137-139页
References第139-147页
Acknowledgements第147-149页
Author’s Introduction第149-150页

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