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E-grāmata: Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach

Edited by (Sid and Reva Dewberry Department of Civil, Environmental and Infrastructure Engineering, George Mason University, USA), Edited by (Research Institute for Geo-hydrological Protection (IRPI), National Research Council (CNR), Italy)
  • Formāts: EPUB+DRM
  • Izdošanas datums: 06-Jun-2019
  • Izdevniecība: Elsevier Science Publishing Co Inc
  • Valoda: eng
  • ISBN-13: 9780128149003
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  • Formāts: EPUB+DRM
  • Izdošanas datums: 06-Jun-2019
  • Izdevniecība: Elsevier Science Publishing Co Inc
  • Valoda: eng
  • ISBN-13: 9780128149003

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Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach reviews multivariate hazards in a non-stationary environment, covering both short and long-term predictions from earth observations, along with long-term climate dynamics and models. The book provides a detailed overview of remotely sensed observations, current and future satellite missions useful for hydrologic studies and water resources engineering, and a review of hydroclimatic hazards. Given these tools, readers can improve their abilities to monitor, model and predict these extremes with remote sensing.

In addition, the book covers multivariate hazards, like landslides, in case studies that analyze the combination of natural hazards and their impact on the natural and built environment. Finally, it ties hydroclimatic hazards into the Sendai Framework, providing another set of tools for reducing disaster impacts.

  • Emphasizes recent and future satellite missions to study, monitor and forecast hydroclimatic hazards
  • Provides a complete overview and differentiation of remotely sensed products that are useful for monitoring extreme hydroclimatic and related events
  • Covers real-life examples and applications of integrating remote sensing products to study complex multi-hydroclimatic hazards
List of Contributors
xiii
Foreword xvii
Preface xxi
Acknowledgments xxvii
Part I Water cycle variables for monitoring hydroclimatic hazards: State-of-the-art and future directions
1(160)
1 Quantitative precipitation estimation from satellite observations
3(38)
Christopher Kidd
Vincenzo Levizzani
1.1 Introduction
3(1)
1.2 Satellites and instruments
4(7)
1.3 Observations to estimates
11(10)
1.4 Errors and uncertainties
21(3)
1.5 Data products
24(2)
1.6 Validation
26(4)
1.7 Conclusions
30(11)
References
31(8)
Further reading
39(2)
2 Terrestrial water storage
41(24)
Manuela Girotto
Matthew Rodell
2.1 Terrestrial water storage components
41(2)
2.2 Overview of the GRACE mission
43(1)
2.3 Terrestrial water storage solutions
44(2)
2.4 Extremes in water storage
46(12)
2.5 Conclusions
58(7)
References
59(5)
Further reading
64(1)
3 Utility of soil moisture data products for natural disaster applications
65(22)
Wade T. Crow
3.1 Sources of soil moisture information
65(8)
3.2 Soil moisture applications in natural disaster forecasting and monitoring
73(14)
References
83(4)
4 Water surface elevation in coastal and inland waters using satellite radar altimetry
87(42)
Stefano Vignudelli
Andrea Scozzari
Ron Abileah
Jesus Gomez-Enri
Jerome Benveniste
Paolo Cipollini
4.1 Introduction and rationale
87(3)
4.2 The concept of satellite radar altimetry
90(3)
4.3 Water surface elevation in the open ocean
93(2)
4.4 Satellite radar altimetry missions
95(5)
4.5 Altimeter processing in the coastal zone and inland waters
100(5)
4.6 Data sets available for usage in the coastal zone and inland waters
105(7)
4.7 Improvements in accuracy
112(2)
4.8 Water surface elevation and extreme events
114(5)
4.9 Future satellite radar altimetry missions in support of coastal zone and inland waters
119(10)
Acknowledgments
121(1)
References
121(6)
Further reading
127(2)
5 Remote sensing techniques for estimating evaporation
129(16)
Thomas R.H. Holmes
5.1 Introduction
129(2)
5.2 Satellite measurements for evaporation retrievals
131(2)
5.3 Evaporation retrieval approaches
133(5)
5.4 New developments
138(7)
References
139(6)
6 Vegetation
145(16)
Jean-Christophe Calvet
6.1 Impact of vegetation on hydrology
145(4)
6.2 Observing vegetation variables from space
149(3)
6.3 Integration of satellite-derived vegetation variables into models
152(9)
References
156(5)
Part II Remote sensing and modeling techniques for monitoring and predicting hydroclimatic hazards: Perspectives and applications
161(230)
7 Estimating extreme precipitation using multiple satellite-based precipitation products
163(28)
Yagmur Derin
Efthymios Nikolopoulos
Emmanouil N. Anagnostou
7.1 Extreme precipitation events
163(3)
7.2 Study areas and data
166(7)
7.3 Evaluation methodology
173(2)
7.4 Satellite precipitation product performance in complex terrain regions
175(8)
7.5 Conclusions
183(8)
References
186(4)
Further reading
190(1)
8 Evaluating the spatiotemporal pattern of concentration, aggressiveness and seasonality of precipitation over Bangladesh with time-series Tropical Rainfall Measuring Mission data
191(30)
Ashraf Dewan
Kexiang Hu
Mohammad Kamruzzaman
Md. Rafi Uddin
8.1 Introduction
191(5)
8.2 Methods and materials
196(4)
8.3 Results and discussion
200(12)
8.4 Implications for multi-hazard management
212(2)
8.5 Conclusions
214(7)
References
215(4)
Further reading
219(2)
9 Characterizing meteorological droughts in data scare regions using remote sensing estimates of precipitation
221(26)
Mauricio Zambrano-Bigiarini
Oscar Manuel Baez-Villaneuva
9.1 Defining droughts
221(2)
9.2 Impact of climate change
223(1)
9.3 Drought indices
224(2)
9.4 Case study
226(15)
9.5 Conclusions
241(6)
Acknowledgments
242(1)
References
242(5)
10 Recent advances in remote sensing of precipitation and soil moisture products for riverine flood prediction
247(20)
Stefania Camici
Wade T. Crow
Luca Brocca
10.1 Introduction
247(3)
10.2 Satellite precipitation products
250(5)
10.3 Satellite soil moisture
255(6)
10.4 Towards fully exploiting satellite soil moisture and precipitation products
261(6)
Acknowledgments
263(1)
References
263(3)
Further reading
266(1)
11 On the potential of altimetry and optical sensors for monitoring and forecasting river discharge and extreme flood events
267(22)
Angelica Tarpanelli
Jerome Benveniste
11.1 Introduction
267(2)
11.2 Use of altimetry for in land water
269(2)
11.3 Flood modeling and forecasting using altimetry
271(8)
11.4 Merging altimetry with other remote sensing data for extreme event estimation
279(3)
11.5 Conclusions
282(7)
References
283(6)
12 Inundation mapping by remote sensing techniques
289(28)
Xinyi Shen
Emmanouil Anagnostou
12.1 Introduction
289(1)
12.2 Principles
289(1)
12.3 Error sources
290(2)
12.4 Methods
292(1)
12.5 Selected studies to date
292(20)
12.6 Case study References
312(5)
13 Storm surge and sea level rise: Threat to the coastal areas of Bangladesh
317(26)
All Mohammad Rezaie
Celso Moller Ferreira
Mohammad Rezaur Rahman
13.1 Introduction
317(1)
13.2 Tropical cyclone-induced storm suroe
318(1)
13.3 Climate change and sea level rise
319(1)
13.4 Background on the coastal zone of Bangladesh
320(3)
13.5 Hydromorphological features in the Bangladesh coast
323(1)
13.6 Coastal flooding and storm surges in Bangladesh
324(3)
13.7 Overview of the coastal protection measures
327(1)
13.8 Modeling, forecasting, and predicting tropical cyclones and storm surge in Bangladesh
328(2)
13.9 Sea level rise in Bangladesh
330(2)
13.10 Way forward to combat, mitigate, and adapt to coastal flooding and sea level rise
332(11)
References
334(8)
Further reading
342(1)
14 Hazard assessment and forecasting of landslides and debris flows: A case study in Northern Italy
343(26)
Marco Borga
14.1 Introduction
343(2)
14.2 Shallow landslides and the initiation process
345(5)
14.3 Debris flows initiation processes
350(2)
14.4 Shallow landslides and debris flows hazard assessment
352(2)
14.5 Methods for landslides/debris flows forecasting: rainfall intensity-duration thresholds
354(7)
14.6 Conclusions
361(8)
References
362(5)
Further reading
367(2)
15 Snow avalanches
369(22)
Sven Fuchs
Margreth Keiler
Sergey Sokratov
15.1 Hazard characteristics
370(2)
15.2 Remote sensing of snow avalanches
372(6)
15.3 Snow avalanche risk
378(4)
15.4 Conclusions
382(9)
Acknowledgment
384(1)
References
384(7)
Index 391
Dr Maggioni, is Assistant Professor of Environmental and Water Resources Engineering at George Mason University. At George Mason University she leads an active and interdisciplinary team of graduate and undergraduate students, investigating a wide variety of topics including monitoring and modeling storm water quantity and quality at the Mason main campus with state-of-the-art sensor networks, as well as combining water resources engineering with hydrometeorology and remote sensing using satellite data to evaluate conditions in regions, where direct observation is impossible, but the environmental consequences can be devastating. Christian Massari, PhD, is permanent researcher at the Research Institute for the Geo-Hydrological Protection (IRPI) of the National Research Council (CNR) of Italy. Thanks to a graduate research fellowship, he spent a year in the Department of Hydrology and Water Resources at the University of Arizona, Tucson, AZ in 2011. After returning to Italy, he was a postdoctoral research fellow in the hydrology and remote sensing group at IRPI, where he is a permanent researcher since January 2017. His research interests include data fusion and data assimilation of hydrological variables (e.g., soil moisture and rainfall), hydro-validation of satellite soil moisture and rainfall observations, filtering of satellite soil moisture, flooding risk analysis, and flood frequency assessment.