[표지]

목차

기조연설 1 : River and Estuary Observatory Network(REON) : A Cyber Infrastructure for Providing near Real-time Support for Water Resources Management / James s. Bonner 3

Impact on finite water resources 4

Scientific Challenges 5

Example of an Episodic event 5

Paradigm Shift 6

Examples of smart Sensors 7

Images from New FlowCytometer NSF-MRI Project 7

In-situ Acoustic Sensors 8

River and Estuary Observatory Network (REON) 8

Fixed Robotic Platforms 9

Mobile Platforms Acrobat 9

HF-Radar System on Remote Platform 10

Existing Cyber Infrastructure to disseminate data in near real-time 10

Interoperability 11

Observational Datasets 11

River and Estuary observation network 12

Hudson River Dredging 12

Hudson River Dredging Project 13

Hudson River Dredging: Where and How Much 13

Turbulent Diffusion Characterization 18

Strong storm event 18

Tidal forces control natural aquatic system's dynamics 19

Example datasets from May 24,2010 (Denningpoint, Beacon, NY) 20

Tidal forces dominate the particle dynamics at Beacon, NY during g strong storm event on October 21

Vertically-averaged north component of water current and particle concentration from September 30 to October 07,2010 22

Long-term monitoring datasets : Conductivity variation at Denningpoint, Beacon, NY during 2010 deployment 23

Examples datasets from Mobile monitoring platform 23

Example datasets from the Cruise made on September 24, 2009 24

Example datasets from the Cruise made on June 01, 2010 25

Technology Development 26

Meteorological Monitoring 29

Integrated hydrologic and watershed monitoring plan Coupled hydrologic (watershed) modeling 30

Conclusions: Vision for REON 30

기조연설 2 : 우리나라의 수자원ICT 현황 및 전략 / 김계현 32

I. ICT 기반 수자원관리 개요 34

1. 정보기술 발달과 수자원 정보화 34

2. ICT 기반 수자원관리란? 35

3. u-수자원관리 필요성 35

4. 추진 비전 및 목적 36

II. u-수자원관리 구현 핵심 기술 36

1. GIS (지리정보시스템) 37

2. RS(원격탐사) 37

3. GPS(범세계 위치결정시스템) 38

4. LBS(Location Based Service) 38

5. 유비쿼터스 39

6. RFID(Radio Frequency IDentification) 40

7. USN(Ubiquitous Sensor Network) 40

8. IP-USN(Internet Protocol Ubiquitous Sensor Network) 41

III. u-수자원관리 구축 현황 41

1. 국외 사례 42

2. 국내 사례 47

IV. 한국수자원공사 추진 현황 52

1. 수문관측 분야 52

2. 시설물관리 분야 57

3. 활용시스템 분야 58

V. 추진 전략 60

VI. 결론 66

Session 1 : 수재해관리와 ICT 68

4대강 사업 후 국가 홍수재해 대응 전략 / 김창완 68

4대강 살리기 마스터플랜 69

홍수위험관리 80

구조물 대책의 한계(미국의 제방정책 변화) 83

유럽의 홍수방어 정책 91

메콩델타(Mekong Delta) 94

네덜란드 사례 95

영국 사례 97

미국 사례 98

홍수와 더불어 살기 100

일본의 홍수재해관리 기술현황-Hydroinformatics for flood risk mitigation in Japan- / Keigo Nakamura 102

Increase of torrential rain 104

Heavy rain over 1000mm 104

Torrential rain in 2008 105

Hydroinformatics (ICT for river management) in Japan 105

Monitoring (Water and Rain gauging by telemeter) 106

Telemetry gauging station in Japan 106

26 rain radars (C band) operated by MLIT 107

17, 219 CCTV network for monitoring 107

Online data center of comprehensive river information 108

Data Contents: Real time hydrological data 108

Establishing stronger systems to gather and analyze information 109

Provision of River information by PC or mobile phone 109

Publication of flood hazard maps 110

"On-site hazard" map indicated, e.g. assumed flood water depth 110

"On-site hazard map" (2) 111

Recent activities on hydroinformatics 111

X-band multi-parameter rain radar for torrential rain 112

Actual Observation Samples with X-Band MP Radar (17:00 to 21:30) 112

Observation Samples with X-Band MP Radar (July 5, 2010 Itabashi Heavy Rain) 113

Difference between Conventional Radars and X-Band MP Radars 113

Precise runoff analysis using distributed models 114

Highly-Accurate Runoff Analysis based on Distributed Models 114

Distributed model with X band MP radar improves flood predicti 115

Real-time data collection of Flooding Areas 115

Real-time data collection with citizens and private sectors (Nagoya) 116

Real-time data collection of flooding areas using sensors (Yokohama) 116

Flood sensor installation at the subsided area by Great eastern Japan Earthquake 117

Flood sensor installation at the subsided area by Great eastern Japan Earthquake 117

Real time flood forecasting System 118

Output Image of Risk Level Assessment 119

Flood forecasting center (since April of 2009) 120

Common modeling platform for Water-related software (CommonMP) 120

Overview of CommonMP 121

Publication of CommonMP Ver1.0 (March 31, 2010) 121

Display of Analysis and Results Based on CommonMP 122

Display/Editing Functions Based on CommonMP-GIS 122

Terrestrial Digital Broadcasting in Kyushu Region (July 20, 2010) 123

NHK Data Broadcasting Screen (Example) 123

중국의 홍수재해관리 기술 현황 -Flood Disaster Management Technology in China- / Yicheng Wang 125

1. Topographic Characteristics 127

2. Climate Features 128

3. Rivers and Major River Basins in China 130

4. Flood Characteristics and Flood Disaters 131

5. Structural and Nonstructural Measures in Flood Disaster Management 135

6. Emerging Problems of Flood Disaster Management 139

6. Past Successful Experiences and Future Measures in Flood Disaster Management 140

6. A Case Study: Flood Disaster Management in the Yangtze River 143

차세대 홍수방어기술 개발 추진 현황 -Development of Flood Defense Technology For Next Generation in Korea- / 한건연 157

Climate Change (Typhoon) 159

Climate Change (Rainfall) 159

Cliamte Change (Sea Level Rise) 160

Climate Change (Ocean Temp) 160

Recent Flood Damages ('02-Rusa) 161

Recent Flood Damages ('03-Maemi) 161

Recent Flood Damages ('06-Heavy Rainfall) 162

Recent Flood Damages ('07-Nari) 162

Recent Flood Damages ('09-Heavy Rainfall) 163

Flood Damages in Korea 163

WAMIS 165

WINS 166

RIMGIS 166

Water Management System 167

Outline of iFLOOD Project 167

Target Statistics 168

Development Contents 168

Current Results on iFLOOD Project 170

Research Strategies 179

Operation Plan 180

Summary 180

ICT 기반 K-water 통합 물관리 현황 -ICT Based Integrated Water Resources Management of K-water- / 황필선 182

1. Water & Related Environment 184

2. Water management of Korea 192

3. IWRM Systems of K-water 198

4. Upgrade of IWRM Systems 204

5. IWRM Strategy for 2011 flood season 206

Session 2 : 하천제방관리와 ICT 211

Design of Intelligent Levee Monitoring System / 송정락 211

Where are we heading for? 213

What is the current S.O.P 214

How do we get there? 218

Conclusion 221

Development Multiscale Monitoring and Health Assessment of Levees and Flood Control Infrastructure / M.Zeghal ; T.Abdoun ; B.Yazici ; A.Marr 223

Team 224

Outline 225

Introduction 225

Motivation 226

Project Motivation 227

Lessons Learned 227

Current State-of-the-Practice 228

Project Vision 228

Vision 229

Remote Sensing 229

SAR: Synthetic Aperture Radar 230

Interferometric SAR: InSAR 231

Differential InSAR: DInSAR 231

InSAR 232

DInSAR 232

Challenges in InSAR 233

PSInSAR 233

Coherence 234

Radar Satellites 234

SAR Imaging Modes 235

TerraSAR-X (9.67 GHz) 235

Coherence 236

Elevation and Displacement Rate 237

Settlement Rate 237

Rate of Settlement 238

Improving Signal Coherence 239

Polarimetric SAR 240

Field Instrumentation 241

Shape Acceleration Array: SAA 241

Shape Acceleration Array 242

SAA: Wildlife Refuge Site 244

SAA: Case History 244

IJKdijk Project – Levee Monitoring 248

Field Instrumentation: SAP array 249

Field Monitoring: SAPP Development 249

Field Monitoring: GPS Development 250

Identification and Health Assessment 251

Health Assessment Objective 251

Algorithm 252

Global Health Assessment 253

Intermediate Health Assessment 254

Intermediate Health Assessment: Pattern Recognition 254

Intermediate Health Assessment: Pattern Recognition (Example) 255

Intermediate Health Assessment: Pattern Recognition Results (Example) 255

Intermediate Health Assessment: Stiffness Parameter IdentificaStiffness Identification 256

Identification Algorithm 256

Identification Results 257

Local Health Assessment 258

Computational Exampp ple 259

Constitutive Model (Saturated Clay) 259

Identification Stagges 260

Health Assessment 261

Implementation 261

Concluding Remarks 262

New Monitoring Technologies for Safety Evaluation of Dams, Reservoirs and Dikes / Roberto Walder 263

Fiber Optics Distributed Sensing and Technology 265

Applications Examples 271

Experimental results 275

Industrial Applications with Distributed Sensing Technique 281

Conclusions 295

Real time levee strength forecasting in the Netherlands / Meindert Van 296

Flood defences in the Netherlands 298

Why smart levees? 298

Vision levees 299

DAM: Dijk Analyse Module 300

Dike Analysis Module (DAM) in FEWS 300

D.A.M. – Dike analysis module 301

IJkdijk: development of monitoring systems 301

Real time safety assessment 302

Partners in IJkdijk 302

Technologies to be tested 303

IJkdijk wave overtopping demo 303

IJkdijk 304

IJkdijk stability test 306

Stability test – prelimenary design 307

Cross section 307

Start construction august 2008 308

Installation of instruments on top of levee, Sept 2008 309

Construction September 2008 310

Dig ditch 1 meter deep 310

Dig ditch until sand layer 311

Fase 3 311

At 16:00 h 312

LiveDijk Eemshaven (oct 2009) 314

Livedijk: preliminary project list 314

Slope stability: real time safety and forecast of response with safety factors 315

example: time dependent safety factor 315

piping or backwards erosion 316

Piping process 316

Research programme 317

70 piping experiments 317

Medium scale tests 318

Full scale piping tests 320

Design of full scale tests 321

Overview of monitoring systems 321

Monitoring plan (test 4) 322

Vibrating wire piezometers 322

Failure test 1 323

Visual inspections 324

VWPs - measurements during test 4 324

Temperature measurements during phase 5 Widening/clearing 325

Infrared cameras 325

Tool: FEWS-DAM for levee strength forecast 326

FEWS-DAM: Water level and piping failure probability 326

Usage of monitoring data 327

Training and Gaming 327

Levee Patrol III: simulation game for training 329

Questions? 330

제방 누수 센싱 계측기기 제작 및 활용 방안 / 김기수 331

1. 광섬유센서의 구성 및 작동원리 333

2. 광섬유센서 패키지의 구성 335

3. 광섬유FBG센서의 검증시험 340

4. FBG센서의 현장 적용시험 343

Smart Levee 구현을 위한 모니터링 시스템 구축 방안 -Fundamental Study on Levee Monitoring System (Smart Levee)- / 이광만 347

1. Backgrounds and Objectives 349

2. Assessment of Levee Safety Level 351

3. Sensor Design and Tester Development 357

4. Examination of Levee Leakage Mechnism 359

5. Levee Leakage Monitoring System 364

6. Conclusion 366