LEADER 05274nam 2200697Ia 450 001 9910130938603321 005 20220425094526.0 010 $a1-118-66667-4 010 $a1-118-67208-9 010 $a1-118-67178-3 035 $a(CKB)3450000000004294 035 $a(EBL)1187855 035 $a(OCoLC)845256219 035 $a(SSID)ssj0000859869 035 $a(PQKBManifestationID)11519444 035 $a(PQKBTitleCode)TC0000859869 035 $a(PQKBWorkID)10883056 035 $a(PQKB)10686870 035 $a(OCoLC)772505574 035 $a(MiAaPQ)EBC1187855 035 $a(PPN)17655016X 035 $a(EXLCZ)993450000000004294 100 $a20110705d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aStream restoration in dynamic fluvial systems$b[electronic resource] $escientific approaches, analyses, and tools /$fAndrew Simon, Sean J. Bennett, Janine M. Castro, editors 210 $aWashington, DC $cAmerican Geophysical Union$dc2011 215 $a1 online resource (556 p.) 225 1 $aGeophysical monograph ;$v194 300 $aDescription based upon print version of record. 311 $a0-87590-483-1 320 $aIncludes bibliographical references and index. 327 $aTitle Page; Contents; Preface; Section I: Introduction; The Evolving Science of Stream Restoration; Section II: General Approaches; Conceptualizing and Communicating Ecological River Restoration; Setting Goals in River Restoration: When and Where Can the River "Heal Itself"?; Stream Restoration Benefits; Natural Channel Design: Fundamental Concepts, Assumptions, and Methods; Geomorphological Approaches for River Management and Restoration in Italian and French Rivers; Section III: Stream Hydrology and Hydraulics 327 $aHydraulic Modeling of Large Roughness Elements With Computational Fluid Dynamics for Improved Realism in Stream Restoration PlanDesign Discharge for River Restoration; Scale-Dependent Effects of Bank Vegetation on Channel Processes: Field Data, Computational Fluid Dynamics Modeling, and Restorat; Hyporheic Restoration in Streams and Rivers; Section IV: Habitat Essentials; Diversity of Macroinvertebrate Communities as a Reflection of Habitat Heterogeneity in a Mountain River Subjected to Variable Hu 327 $aCombining Field, Laboratory, and Three-Dimensional Numerical Modeling Approaches to Improve Our Understanding of Fish Habitat ReConnectivity and Variability: Metrics for Riverine Floodplain Backwater Rehabilitation; Quantitatively Evaluating Restoration Scenarios for Rivers With Recreational Flow Releases; Section V: Sediment Transport Issues; Sediment Source Fingerprinting (Tracing) and Sediment Budgets as Tools in Targeting River and Watershed Restoration Programs; Closing the Gap Between Watershed Modeling, Sediment Budgeting, and Stream Restoration 327 $aMitigating Channel Incision via Sediment Input and Self-Initiated Riverbank Erosion at the Mur River, AustriaSalmon as Biogeomorphic Agents in Gravel Bed Rivers: The Effect of Fish on Sediment Mobility and Spawning Habitat; Section VI: Structural Approaches; Restoring Habitat Hydraulics With Constructed Riffles; Pool-Riffle Design Based on Geomorphological Principles for Naturalizing Straight Channels; Controlling Debris at Bridges; Seeing the Forest and the Trees: Wood in Stream Restoration in the Colorado Front Range, United States 327 $aGeomorphic, Engineering, and Ecological Considerations When Using Wood in River RestorationSection VII: Model Applications; Development and Application of a Deterministic Bank Stability and Toe Erosion Model for Stream Restoration; Bank Vegetation, Bank Strength, and Application of the University of British Columbia Regime Model to Stream Restoration; Practical Considerations for Modeling Sediment Transport Dynamics in Rivers; AGU Category Index; Index 330 $aPublished by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 194.Stream Restoration in Dynamic Fluvial Systems: Scientific Approaches, Analyses, and Tools brings together leading contributors in stream restoration science to provide comprehensive consideration of process-based approaches, tools, and applications of techniques useful for the implementation of sustainable restoration strategies. Stream restoration is a catchall term for modifications to streams and adjacent riparian zones undertaken to improve geomorphic and/or ecologic funct 410 0$aGeophysical monograph ;$v194. 606 $aFluvial geomorphology 606 $aStream restoration 606 $aGeomorfologia fluvial$2thub 608 $aLlibres electrònics$2thub 615 0$aFluvial geomorphology. 615 0$aStream restoration. 615 7$aGeomorfologia fluvial 676 $a333.9162153 701 $aBennett$b Sean J.$f1962-$01000217 701 $aCastro$b Janine M$01000218 701 $aSimon$b Andrew$f1954-$01000219 712 02$aAmerican Geophysical Union. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910130938603321 996 $aStream restoration in dynamic fluvial systems$92295857 997 $aUNINA LEADER 03550nam 22006015 450 001 9910254164903321 005 20200705115657.0 024 7 $a10.1007/978-981-10-3235-6 035 $a(CKB)3710000001072713 035 $a(DE-He213)978-981-10-3235-6 035 $a(MiAaPQ)EBC4812017 035 $a(PPN)198866712 035 $a(EXLCZ)993710000001072713 100 $a20170223d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSecure and Privacy-Preserving Data Communication in Internet of Things /$fby Liehuang Zhu, Zijian Zhang, Chang Xu 205 $a1st ed. 2017. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (VII, 78 p. 22 illus., 10 illus. in color.) 225 1 $aSpringerBriefs in Signal Processing,$x2196-4076 311 $a981-10-3234-3 311 $a981-10-3235-1 320 $aIncludes bibliographical references. 327 $aIntroduction -- Secure Data Aggregation in Wireless Sensor Network -- Privacy preserving Meter Reading Transmission in Smart Grid -- Key Agreement and Management in Vehicular Ad-hoc Network -- Conclusion. 330 $aThis book mainly concentrates on protecting data security and privacy when participants communicate with each other in the Internet of Things (IoT). Technically, this book categorizes and introduces a collection of secure and privacy-preserving data communication schemes/protocols in three traditional scenarios of IoT: wireless sensor networks, smart grid and vehicular ad-hoc networks recently. This book presents three advantages which will appeal to readers. Firstly, it broadens reader?s horizon in IoT by touching on three interesting and complementary topics: data aggregation, privacy protection, and key agreement and management. Secondly, various cryptographic schemes/protocols used to protect data confidentiality and integrity is presented. Finally, this book will illustrate how to design practical systems to implement the algorithms in the context of IoT communication. In summary, readers can simply learn and directly apply the new technologies to communicate data in IoT after reading this book. 410 0$aSpringerBriefs in Signal Processing,$x2196-4076 606 $aElectrical engineering 606 $aData encryption (Computer science) 606 $aSystem safety 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aCryptology$3https://scigraph.springernature.com/ontologies/product-market-codes/I28020 606 $aSecurity Science and Technology$3https://scigraph.springernature.com/ontologies/product-market-codes/P31080 615 0$aElectrical engineering. 615 0$aData encryption (Computer science) 615 0$aSystem safety. 615 14$aCommunications Engineering, Networks. 615 24$aCryptology. 615 24$aSecurity Science and Technology. 676 $a620 700 $aZhu$b Liehuang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0875340 702 $aZhang$b Zijian$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aXu$b Chang$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254164903321 996 $aSecure and Privacy-Preserving Data Communication in Internet of Things$91954315 997 $aUNINA