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喜馬拉雅中部阿潤河谷高山環(huán)境下的冰湖潰決洪水研究

發(fā)布時間:2023-04-02 18:33
  冰川湖泊潰決洪水(GLOF)是一種被研究人員廣泛認(rèn)識的自然災(zāi)害,其爆發(fā)后的巨大破壞能力對自然生態(tài)環(huán)境和人造基礎(chǔ)設(shè)施安全等都構(gòu)成嚴(yán)重威脅。因此,進(jìn)行GLOF風(fēng)險評估是非常必要的,特別是在有水電站的流域內(nèi),如果不進(jìn)行GLOF風(fēng)險評估,可能會造成巨大的社會經(jīng)濟(jì)損失。此外,還需要綜合匯編水文、地質(zhì)、地貌和氣候數(shù)據(jù),以便對水電站等重要項(xiàng)目進(jìn)行可行性研究和設(shè)計研究。值得注意的是,文獻(xiàn)中已有很多方法可用于評估冰湖潰決洪水。這些方法通過方法構(gòu)造的類型、評價特征的數(shù)量和選擇、評價過程中所需的輸入數(shù)據(jù)和主觀性比率來區(qū)分,有些是適應(yīng)環(huán)境設(shè)計的,有些是設(shè)計來適應(yīng)的。評價程序?qū)斎霐?shù)據(jù)的要求和主觀性的要求通常被認(rèn)為是其重復(fù)使用的根本障礙。最近的一項(xiàng)研究考察了這些方法在高山環(huán)境中的適用性。結(jié)果表明,所采用的方法均不滿足所有規(guī)定的標(biāo)準(zhǔn),且需要耗費(fèi)大量的人力、時間和成本,因此,需要一種新的方法來適用于高山環(huán)境中水電項(xiàng)目安全性評估。此外,由于現(xiàn)有的GLOF風(fēng)險評估方法的主客觀局限性,我們提出了一種新的、易于應(yīng)用的基于歷史冰湖潰決洪水流量和影響規(guī)模的四步篩選方法,應(yīng)用范圍更廣,不需要根據(jù)主題區(qū)域進(jìn)行適應(yīng)變化,這也允許成本...

【文章頁數(shù)】:219 頁

【學(xué)位級別】:博士

【文章目錄】:
摘要
ABSTRACT
Chapter1 Introduction
    1.1 Background and Significance
    1.2 Study Area
        1.2.1 Justification of Site Selection
        1.2.2 Justification and Aims of the Work in Arun
    1.3 Research Gap and Problem Statement
    1.4 Novelty
    1.5 Scope and Objectives
        1.5.1 Main Objectives
        1.5.2 Sub Objectives
    1.6 Research Outline
Chapter2 Literature Review
    2.1 GLOFs in the Context of High Mountain Environments
    2.2 Previous research and existing methods for assessing the susceptibility of glacial lakes to outburst floods
        2.2.1 The Qualitative Approach
        2.2.2 The Semi-Quantitative Approach
        2.2.3 The Quantitative Approach
    2.3 Flood Risk Management
    2.4 Previous studies related to UAHEP
        2.4.1 General
        2.4.2 Feasibility Study Phase I in1987
        2.4.3 Feasibility Study(1991)
        2.4.4 Feasibility Review Study(2011)
    2.5 Drawbacks and Limitations of Existing Methods and Database
Chapter3 Materials and Research Methodology
    3.1 Introduction
    3.2 Data Collection
        3.2.1 Hydrological and Meteorological Data
        3.2.2 Weather Data
        3.2.3 Remote Sensing Data
    3.3 Field Survey
    3.4 Estimation of Probable Maximum Flood
        3.4.1 Selection of Model
        3.4.2 Model Simulation
    3.5 Establishment of Glacier and Glacial Lake Databases
    3.6 The New Model for GLOF Risk Assessment
    3.7 GLOF Hydrological Evolution
        3.7.1 Approaches followed for GLOF Modeling
Chapter4 Data Information System for Arun Valley
    4.1 Regional Overview
        4.1.1 Location& Access
    4.2 Geological and Geomorphological Study
        4.2.1 Regional Geology
        4.2.2 Geology of the Reservoir
        4.2.3 Geological Risk
        4.2.4 Land Cover
        4.2.5 Slope Characteristics and Steepness Factor
        4.2.6 Soil Erosion Processes
    4.3 Hydrological Study related to GLOFs
        4.3.1 River Systems
        4.3.2 Drainage Characteristics
        4.3.3 Results of Runoff Study
        4.3.4 Results of Flood Study
    4.4 Climatic Correlation with GLOFs
        4.4.1 Introduction
        4.4.2 Location Specific Details
        4.4.3 Climatic Correlation with GLOFs
    4.5 Natural Hazards in Arun Basin
        4.5.1 Landslides in Arun River Basin
        4.5.2 Fires Incidents in Arun Basin
        4.5.3 Earthquakes in Arun Basin
        4.5.4 GLOFs in the Arun River Basin
    4.6 The Distribution and Quantification of Glaciers and Glacial Lakes in Arun Valley
Chapter5 The New Model for GLOF Risk Assessment
    5.1 The New Model
        5.1.1 Justification for the Assumed Depth of the Lakes
    5.2 Determination of the Critical Lakes using the New Model
        5.2.1 Multi-criterion outburst probability and failure mechanisms of the glacial lakes
        5.2.2 Preliminary Discharge Profiles and Outburst Probability of the Critical Lakes
    5.3 GLOF Modeling and Simulation of GLOFs in the Upstream of Arun River
        5.3.1 The Two Critical Lakes
        5.3.2 GLOF Modelling
    5.4 Suggested Mitigation for the potential GLOF from the two critical lakes
Chapter6 Conclusions and Recommendations
    6.1 Summary,Comparison and Contribution of the novel method
        6.1.1 Comparison with the State of the Art
    6.2 Conclusion of the Data Information System
    6.3 Discussion and Limitations in Relation to the Novel Model
    6.4 Recommendations and Way Forward
References
Appendix1 中文簡本
Appendix2 List of Figures
Appendix3 List of Tables
Acknowledgements
CV of author and Research Contribution



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