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Flood Hazard Identification And Mitigation In Semi- And Arid Environments [Kõva köide]

Edited by (Desert Research Inst, Usa), Edited by (Univ Of Texas At San Antonio, Usa)
  • Formaat: Hardback, 238 pages
  • Ilmumisaeg: 20-Oct-2011
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9814355097
  • ISBN-13: 9789814355094
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  • Formaat: Hardback, 238 pages
  • Ilmumisaeg: 20-Oct-2011
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9814355097
  • ISBN-13: 9789814355094
Teised raamatud teemal:
Alluvial fans are ubiquitous geomorphological features that occur throughout the world, regardless of climate, at the front of mountains as the result of erosion and deposition. They are more prominent in semi- and arid climates simply because of the lack of vegetative cover that masks their fan shapes in more humid areas. From both engineering and geological viewpoints, alluvial fans present particular fluvial and sedimentation hazards in semi- and arid regions because episodic rainfall-runoff events can result in debris, mud, and fluvial flows through complex and, in some cases, migratory channel systems. Further, in semi- and arid climates alluvial fans often end in terminal or playa lakes. Given the uniform topography of playa lakes, these features often present ideal locations for facilities such as airports; however, regardless of the engineering advantages of the topography, the episodic and often long-term flooding of these lakes attracts migratory birds. The purpose of this volume is to summarize the current state-of-the-art, from the viewpoint of engineering, in the identification and mitigation of flood hazard on alluvial fans; and to accomplish this a fundamental understanding of geology is required.
Foreword v
1 Introduction
1(18)
1.1 Introduction
2(1)
1.2 Alluvial Fan Hazards
3(8)
1.3 Playa Lakes
11(2)
1.4 Conclusion
13(6)
References
14(5)
2 Geologic and Hydraulic Concepts of Arid Environments
19(18)
2.1 Introduction
19(2)
2.1.1 Desert landscape formation
20(1)
2.2 Geologic Theories of Formative Processes
21(1)
2.2.1 Catastrophism
21(1)
2.2.2 Gradualism (Uniformitarianism)
21(1)
2.2.3 Integration
22(1)
2.3 Flow Processes
22(4)
2.3.1 Fluvial
22(1)
2.3.2 Hyperconcentrated flows
23(3)
2.4 Soils
26(6)
2.4.1 Soil formation in arid environments
27(1)
2.4.2 Desert pavement
28(2)
2.4.3 Indurated soil layers
30(1)
2.4.4 Vegetation and biologic role in soil development
30(2)
2.5 Runoff, Infiltration Potential, and Transmission Losses
32(5)
2.5.1 Runoff and infiltration potential
32(1)
2.5.2 Channel transmission losses
32(1)
References
33(4)
3 Traditional Approaches to Flood Hazard Identification and Mitigation on Alluvial Fans
37(22)
3.1 Introduction
38(1)
3.2 Background
39(2)
3.3 Technical Issues Regarding the Assumptions
41(6)
3.4 Implementation of the Assumptions
47(6)
3.4.1 Understanding the traditional approach
48(2)
3.4.2 Implementation for hazard identification
50(3)
3.5 An Approach to Hazard Mitigation
53(1)
3.6 Conclusion
54(5)
References
55(4)
4 New Approaches for Alluvial Fan Flood Hazard
59(30)
4.1 Predicting Alluvial Fan Flooding --- Background
59(3)
4.2 FEMA's Three Phase Approach to Alluvial Fan Flood Mapping
62(3)
4.2.1 Identification of fan geomorphology
64(1)
4.2.2 Active versus inactive fan areas
65(1)
4.2.3 100-year flood hazard modeling and mapping
65(1)
4.3 Alluvial Fan Flood Modeling
65(10)
4.3.1 Developing an alluvial fan flood model
66(2)
4.3.2 2-D unsteady alluvial fan model limitations
68(1)
4.3.3 Alluvial fan sediment issues
69(6)
4.4 Important Criteria for Flood Hazard Delineation
75(2)
4.5 Hazard Mapping as a Planning Tool
77(5)
4.6 Flood Damage Mapping
82(1)
4.7 Alluvial Fan Mitigation Measures
82(7)
References
84(5)
5 Flood Hazard Mapping Versus Flood Risk Analysis
89(20)
5.1 Risk and Uncertainty of Alluvial Fan Flooding
89(3)
5.1.1 Concepts of flood hazard and flood risk: Hazard ≠ risk
90(2)
5.2 Stochastic versus Deterministic Flood Hazard Assessment
92(1)
5.3 Stochastic Methods for Fan Flood Hazards
93(7)
5.3.1 Monte Carlo simulations
94(1)
5.3.2 Probability distributions representing physical fan parameters
95(2)
5.3.3 Random walk algorithm to determine flow paths
97(1)
5.3.4 Alluvial fan flood probability --- creating the linkage between the stochastic model and the deterministic model
98(1)
5.3.5 Evolution of the alluvial fan --- modeling future conditions
99(1)
5.4 Integrating Alluvial Fan Flood Hazard Mapping and Damage Assessment
100(9)
References
105(4)
6 Playa Lake Hazards and Resources
109(24)
6.1 Introduction
109(3)
6.1.1 Historic role of playas in military and civilian use
110(2)
6.2 Inundation of Playas
112(10)
6.2.1 Predicting the depth of inundation on playa lakes
112(2)
6.2.2 Predicting the duration of inundation on playa lakes
114(8)
6.3 Geologic Hazards on Playa Lakebeds
122(2)
6.3.1 Evolution of desiccation cracks on playas
123(1)
6.4 Playas as a Water Resource: Studies in Jordan
124(4)
6.4.1 Azraq basin
125(2)
6.4.2 Playas in the Northeastern Badia
127(1)
6.5 Conclusions
128(5)
References
129(4)
7 Needs and Benefits of Co-Operation
133(10)
7.1 Introduction
133(1)
7.2 Identifying the Alluvial Fan Hydrologic Apex
134(1)
7.3 Watershed Delineation
135(1)
7.4 History
136(1)
7.5 Surficial Geology
136(2)
7.6 Paleohydrology
138(1)
7.7 Aggradation and Scour
138(1)
7.8 Climate Change
139(1)
7.9 Planning
139(1)
7.10 Summary
140(3)
References
141(2)
8 Meeting the Challenge
143(74)
Case Study #1 Two-Dimensional Hydraulic Modeling for Alluvial Fan Floodplain Hazard Identification
145(1)
8.1 Introduction
145(7)
8.1.1 Local regulatory framework
147(1)
8.1.2 Project setting
148(1)
8.1.3 Hydraulic model development
149(3)
8.2 Hydraulic Model Data and Assumptions
152(7)
8.2.1 Topography and grid development
152(1)
8.2.2 Discharge
153(1)
8.2.3 Precipitation
154(1)
8.2.4 Infiltration
154(1)
8.2.5 Manning's n-values
155(1)
8.2.6 Boundary conditions
156(1)
8.2.7 Flow obstruction
157(1)
8.2.8 Froude number
157(1)
8.2.9 Computational time step and grid element size
158(1)
8.3 Hydraulic Model Results
159(2)
8.4 Summary and Conclusions
161(3)
References
162(2)
Case Study #2 Numerical Modeling of the 2005 La Conchita Landslide, Ventura County, California
164(1)
8.5 Introduction
164(2)
8.6 Background, Geology, and Kinematics
166(10)
8.6.1 Introduction
166(2)
8.6.2 Historical setting
168(1)
8.6.3 Geologic conditions
169(1)
8.6.4 Vegetation and soils
169(3)
8.6.5 Sedimentology
172(1)
8.6.6 Physical dimensions
173(2)
8.6.7 Velocity
175(1)
8.7 Previous Studies of Debris Flow Behavior
176(2)
8.8 FLO-2D Numerical Modeling
178(11)
8.8.1 Introduction
178(1)
8.8.2 FLO-2D modeling of debris flows
178(2)
8.8.3 Input parameters
180(5)
8.8.4 Model results
185(4)
8.9 Summary
189(3)
References
189(3)
Case Study #3 Tiger Wash, Western Maricopa County, Arizona, USA
192(1)
8.10 Site Description
192(8)
8.10.1 Watershed
192(2)
8.10.2 Geologic setting
194(1)
8.10.3 Surficial geology
195(3)
8.10.4 Channel morphology
198(1)
8.10.5 Outfall
199(1)
8.11 Flood History
200(3)
8.11.1 Gauge record
200(1)
8.11.2 Peak discharge estimates
200(1)
8.11.3 September 26, 1997 flood
201(2)
8.12 Previous Studies
203(1)
8.13 Discussion
204(10)
8.13.1 What is an alluvial fan?
204(3)
8.13.2 What are the key elements of alluvial fan flooding?
207(2)
8.13.3 Alluvial fan boundary delineation
209(1)
8.13.4 Predicting avulsions
210(2)
8.13.5 Importance of infiltration and attenuation
212(1)
8.13.6 Flood hazard delineation
213(1)
8.14 Summary
214(3)
References
214(3)
9 Future Directions
217
9.1 Introduction
217(1)
9.2 What We Know --- What We Don't Know
218(5)
9.2.1 Education
218(1)
9.2.2 Precipitation and flow data issues
219(1)
9.2.3 Geology and geomorphology
220(1)
9.2.4 Monitoring and modeling
221(2)
9.3 Conclusion
223
References
223