2003-2017年非洲干旱时空变化及其对农业的影响研究
发布时间：2021-11-07 09:33
在过去的一个世纪中,非洲大陆许多地方发生了严重的自然灾害事件,特别是干旱产生的危害最大。干旱和土地退化是威胁非洲大陆粮食和畜牧可持续生产的主要因素,同时也严重影响当地人民的生活,特别是主要依靠雨水养育地区的农业活动为生的农村居民。非洲北部的撒哈拉沙漠到南部以热带稀疏草原和森林雨区为中心的地区,因缺水和夏季高温导致土地退化和频繁的干旱。该地区受到气候变化和环境退化的影响,从而影响了该地区的农业生产。我们发现非洲的萨赫勒地区周边国家在过去几十年中受影响最大,因此,我们的研究重点是萨赫勒地区国家,分析干旱对主要农作物生产的影响,具体如下:首先,我们调查了非洲土地表面温度(LST)的时空变化,以确定温度对农业生产的影响。尽管热红外遥感技术可以快速获取表面温度信息,但是它受到云和降雨的影响很大。为了获得有关非洲LST时空变化的完整且连续的数据集,本研究通过利用地面站点数据和建立数据重构模型对中分辨率成像光谱仪(MODIS)LST时间序列数据非洲大陆LST数据集(2003-2017)进行了重构。在此基础上,对非洲大陆地表温度进行了时空变化分析,分析结果表明:2003-2017年LST的年平均变化很...
【文章来源】： 中国农业科学院北京市
【文章页数】：128 页
【文章目录】：
博士学位论文评阅人、答辩委员会签名表
摘要
abstract
List of Abbreviations
CHAPTER1:INTRODUCTION
1.1 FOOD SECURITY CHALLENGES
1.2 IMPACT OF CLIMATE CHANGE
1.3 CLIMATE CHANGE IMPACTS ON AFRICA
1.4 AGRICULTURAL PRODUCTION
1.4.1 Agricultural land degradation
1.4.2 Drought and its impact on agricultural land
1.5 THE ROLE OF REMOTE SENSING IN DROUGHT ASSESSMENTS
1.5.1 Drought assessment indices
1.5.2 Remote sensing-based drought assessment
1.5.3 Advantages of remote sensing in agricultural drought monitoring
1.6 RESEARCH PROBLEM
1.7 RESEARCH QUESTIONS
1.8 SIGNIFICANCE OF THE STUDY
1.9 SCOPE OF THE STUDY
1.10 STUDY AREA
1.11 OBJECTIVES OF THE STUDY
1.12 THESIS ORGANIZATION
CHAPTER2:ANALYSIS OF THE SPATIOTEMPORAL CHANGE IN LAND SURFACE TEMPERATURE FOR A LONG-TERM SEQUENCE IN AFRICA(2003-2017)
2.1 INTRODUCTION
2.2 MATERIALS AND METHODS
2.2.1 MODIS data
2.2.2 Ground observation data
2.2.3 LST data reconstruction method
2.2.4 LST pixel filtering
2.2.5 LST data recovery
2.2.6 Estimation of Invalid Pixel Values
2.2.7 Validation
2.2.8 Mean LST
2.2.9 Trend analysis of change(slope)and the correlation coefficient(R)
2.3.RESULTS
2.3.1 Average LST change
2.3.2 Daytime and nighttime change analysis
2.3.3 Analysis of the diurnal temperature difference
2.3.4 Seasonal change analysis
2.3.5 Monthly average change analysis
2.3.6 Validation
2.4 DISCUSSION
2.5 CONCLUSIONS
CHAPTER3:THE SPATIO-TEMPORAL CHANGES OF SOIL MOISTURE IN AFRICA(2003–2017)USING PASSIVE MICROWAVE SOIL MOISTURE DATA
3.1 INTRODUCTION
3.2 MATERIALS AND METHODS
3.2.1 MODIS data sets
3.2.2 Vegetation temperature condition index
3.2.3 Soil moisture data sets
3.2.4 Soil moisture time series method
3.2.5 Downscaling method
3.2.6 Ground observation data
3.2.7 Validation
3.2.8 Analysis of the SM time series trend
3.3 RESULTS
3.3.1 Verification of downscaled SM
3.3.2 Spatiotemporal change analysis for different natural partitions in Africa
3.3.3 Characteristics of the spatiotemporal variations of SM at annual scale
3.3.4 The characteristic of Seasons trend
3.3.5 SM time series trend at Month scale
3.3.6 Correlation of SM with climate and non-climate factors
3.4 DISCUSSION
3.5 CONCLUSIONS
CHAPTER4:SPATIO-TEMPORAL DROUGHT ASSESSMENT OVER SAHELIAN COUNTRIES FROM1985 TO
4.1 INTRODUCTION
4.2 MATERIALS AND METHODS
4.2.1 Remote sensing Datasets:
4.2.2 Crop data
4.2.3 Supplementary data
4.2.4 Agricultural Drought Index
4.2.5 Meteorological Drought Indicators
4.2.6 Yield anomalies
4.2.7 Assessment of drought vulnerability
4.2.8 Pearson Correlation Coefficient(PCC)
4.3 RESULTS AND DISCUSSION
4.3.1 Meteorological drought assessment
4.3.2 Remote sensing drought assessment and drought characteristic
4.3.3 The relation between SPI,SPEI and VCI anomaly with yield anomaly
4.3.4 Assessment of drought vulnerability
4.4 CONCLUSIONS
CHAPTER5:CONCLUSIONS
5.1 RECOMMENDATIONS
5.2 FUTURE RESEARCH
REFERENCES
APPENDIX
ACKNOWLEDGEMENT
CURRICULUM VITAE
【参考文献】：
期刊论文
[1]Observed trends in diurnal temperature range over Nigeria [J]. DIKE Victor Nnamdi,LIN Zhaohui,WANG Yuxi,NNAMCHI Hyacinth. Atmospheric and Oceanic Science Letters. 2019(02)
[2]Changes in Global Cloud Cover Based on Remote Sensing Data from 2003 to 2012 [J]. MAO Kebiao,YUAN Zijin,ZUO Zhiyuan,XU Tongren,SHEN Xinyi,GAO Chunyu. Chinese Geographical Science. 2019(02)
[3]Analysis of spatio-temporal evolution of droughts in Luanhe River Basin using different drought indices [J]. Kai-yan Wang,Qiong-fang Li,Yong Yang,Ming Zeng,Peng-cheng Li,Jie-xiang Zhang. Water Science and Engineering. 2015(04)
[4]植被状态指数VCI与几种气象干旱指数的对比——以河南省为例 [J]. 沙莎,郭铌,李耀辉,任余龙,李忆平. 冰川冻土. 2013(04)
本文编号：3481611
【文章来源】： 中国农业科学院北京市
【文章页数】：128 页
【文章目录】：
博士学位论文评阅人、答辩委员会签名表
摘要
abstract
List of Abbreviations
CHAPTER1:INTRODUCTION
1.1 FOOD SECURITY CHALLENGES
1.2 IMPACT OF CLIMATE CHANGE
1.3 CLIMATE CHANGE IMPACTS ON AFRICA
1.4 AGRICULTURAL PRODUCTION
1.4.1 Agricultural land degradation
1.4.2 Drought and its impact on agricultural land
1.5 THE ROLE OF REMOTE SENSING IN DROUGHT ASSESSMENTS
1.5.1 Drought assessment indices
1.5.2 Remote sensing-based drought assessment
1.5.3 Advantages of remote sensing in agricultural drought monitoring
1.6 RESEARCH PROBLEM
1.7 RESEARCH QUESTIONS
1.8 SIGNIFICANCE OF THE STUDY
1.9 SCOPE OF THE STUDY
1.10 STUDY AREA
1.11 OBJECTIVES OF THE STUDY
1.12 THESIS ORGANIZATION
CHAPTER2:ANALYSIS OF THE SPATIOTEMPORAL CHANGE IN LAND SURFACE TEMPERATURE FOR A LONG-TERM SEQUENCE IN AFRICA(2003-2017)
2.1 INTRODUCTION
2.2 MATERIALS AND METHODS
2.2.1 MODIS data
2.2.2 Ground observation data
2.2.3 LST data reconstruction method
2.2.4 LST pixel filtering
2.2.5 LST data recovery
2.2.6 Estimation of Invalid Pixel Values
2.2.7 Validation
2.2.8 Mean LST
2.2.9 Trend analysis of change(slope)and the correlation coefficient(R)
2.3.RESULTS
2.3.1 Average LST change
2.3.2 Daytime and nighttime change analysis
2.3.3 Analysis of the diurnal temperature difference
2.3.4 Seasonal change analysis
2.3.5 Monthly average change analysis
2.3.6 Validation
2.4 DISCUSSION
2.5 CONCLUSIONS
CHAPTER3:THE SPATIO-TEMPORAL CHANGES OF SOIL MOISTURE IN AFRICA(2003–2017)USING PASSIVE MICROWAVE SOIL MOISTURE DATA
3.1 INTRODUCTION
3.2 MATERIALS AND METHODS
3.2.1 MODIS data sets
3.2.2 Vegetation temperature condition index
3.2.3 Soil moisture data sets
3.2.4 Soil moisture time series method
3.2.5 Downscaling method
3.2.6 Ground observation data
3.2.7 Validation
3.2.8 Analysis of the SM time series trend
3.3 RESULTS
3.3.1 Verification of downscaled SM
3.3.2 Spatiotemporal change analysis for different natural partitions in Africa
3.3.3 Characteristics of the spatiotemporal variations of SM at annual scale
3.3.4 The characteristic of Seasons trend
3.3.5 SM time series trend at Month scale
3.3.6 Correlation of SM with climate and non-climate factors
3.4 DISCUSSION
3.5 CONCLUSIONS
CHAPTER4:SPATIO-TEMPORAL DROUGHT ASSESSMENT OVER SAHELIAN COUNTRIES FROM1985 TO
4.1 INTRODUCTION
4.2 MATERIALS AND METHODS
4.2.1 Remote sensing Datasets:
4.2.2 Crop data
4.2.3 Supplementary data
4.2.4 Agricultural Drought Index
4.2.5 Meteorological Drought Indicators
4.2.6 Yield anomalies
4.2.7 Assessment of drought vulnerability
4.2.8 Pearson Correlation Coefficient(PCC)
4.3 RESULTS AND DISCUSSION
4.3.1 Meteorological drought assessment
4.3.2 Remote sensing drought assessment and drought characteristic
4.3.3 The relation between SPI,SPEI and VCI anomaly with yield anomaly
4.3.4 Assessment of drought vulnerability
4.4 CONCLUSIONS
CHAPTER5:CONCLUSIONS
5.1 RECOMMENDATIONS
5.2 FUTURE RESEARCH
REFERENCES
APPENDIX
ACKNOWLEDGEMENT
CURRICULUM VITAE
【参考文献】：
期刊论文
[1]Observed trends in diurnal temperature range over Nigeria [J]. DIKE Victor Nnamdi,LIN Zhaohui,WANG Yuxi,NNAMCHI Hyacinth. Atmospheric and Oceanic Science Letters. 2019(02)
[2]Changes in Global Cloud Cover Based on Remote Sensing Data from 2003 to 2012 [J]. MAO Kebiao,YUAN Zijin,ZUO Zhiyuan,XU Tongren,SHEN Xinyi,GAO Chunyu. Chinese Geographical Science. 2019(02)
[3]Analysis of spatio-temporal evolution of droughts in Luanhe River Basin using different drought indices [J]. Kai-yan Wang,Qiong-fang Li,Yong Yang,Ming Zeng,Peng-cheng Li,Jie-xiang Zhang. Water Science and Engineering. 2015(04)
[4]植被状态指数VCI与几种气象干旱指数的对比——以河南省为例 [J]. 沙莎,郭铌,李耀辉,任余龙,李忆平. 冰川冻土. 2013(04)
本文编号：3481611
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