GIS TECHNOLOGY FOR COASTAL MANAGEMENT: HISTORICAL EVOLUTION OF THE SOUTHERN MARCHE COASTLINE AND MONITORING OF SAN BENEDETTO DEL TRONTO BEACH (AP)



Similar documents
ArcGIS Data Models Practical Templates for Implementing GIS Projects

Progress of SIGC -Coastal Geographical Information System

Applications of GIS and Web delivery of coastal monitoring data in shoreline management

Martin County Coastal GIS Program St Lucie Inlet Planning Tool

REGIONAL SEDIMENT MANAGEMENT: A GIS APPROACH TO SPATIAL DATA ANALYSIS. Lynn Copeland Hardegree, Jennifer M. Wozencraft 1, Rose Dopsovic 2 INTRODUCTION

Managing Bathymetry in the Cloud with GIS

GEOGRAPHIC INFORMATION SYSTEMS CERTIFICATION

Using LIDAR to monitor beach changes: Goochs Beach, Kennebunk, Maine

Remote Sensing, GPS and GIS Technique to Produce a Bathymetric Map

An adaptive approach to monitor the Shoreline changes in ICZM framework: A case study of Chennai coast

An Initial Assessment of the Impacts of Sea Level Rise to the California Coast

Geology 12 Syllabus House, Fall 2010

Predicting Coastal Hazards: A Southern California Demonstration

Open-File Report Cheryl J. Hapke, David Reid, Bruce M. Richmond, Peter Ruggiero and Jeff List

Shoreline Change Prediction Model for Coastal Zone Management in Thailand

SECTION 10.0 MANAGEMENT UNIT 5: HORNSEA

Coastal Erosion Hazard Monitoring on the South Shore of Long Island, New York Joseph J. Tanski 1 and Barry Pendergrass 2

SHOALS Toolbox: Software to Support Visualization and Analysis of Large, High-Density Data Sets

A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared.

Introduction to GIS (Basics, Data, Analysis) & Case Studies. 13 th May Content. What is GIS?

Why Demographic Data are not Up to the Challenge of Measuring Climate Risks, and What to do about it. CIESIN Columbia University

Effects of Florida Under a 10 Meter Sea Level Rise

The Integration of Hydrographic and Oceanographic Data in a Marine Geographic Information System U.S. Hydro 2015

Digital Orthophoto Production In the Desktop Environment 1

DISASTER DISASTER MANAGEMENT CRISIS INFORMATICS GIS IN DIFFEERENT STAGES OF DISASTER MANAGEMENT

About As. In a team with the best. ESRI Bulgaria is the exclusive distributor of Esri Inc. for Bulgaria. Esri Inc.

Final Project Report

Large-scale multi-agency strategic beach monitoring of the South-East Coast of England provision of data and analytical tools.

Analyzing Radon Risk Using Geographic Information System (GIS) Software. Ü Radon and GIS

Geography. Geography B. Curriculum Planner GCSE Version 1 October 2012

Introduction to GIS.

G3-Giornate Giovani GNRAC Quartiere Fieristico di Ferrara, 21 Settembre 2012

METHODOLOGY FOR LANDSLIDE SUSCEPTIBILITY AND HAZARD MAPPING USING GIS AND SDI

MAIN_SNP_TOPO.dgm_2m

December 19, Donna Macalle-Holly Lake Hopatcong Foundation 37 Nolan s Point Park Road Lake Hopatcong, NJ Dear Ms.

The Use of Geographic Information Systems in Risk Assessment

Ocean Engineering, Surveying and Mapping Services

Sextant. Spatial Data Infrastructure for Marine Environment. C. Satra Le Bris, E. Quimbert, M. Treguer

Illinois Coastal Management Program 2011

1. Executive Summary

What is GIS? Geographic Information Systems. Introduction to ArcGIS. GIS Maps Contain Layers. What Can You Do With GIS? Layers Can Contain Features

MAREMED kick off meeting

AQUITAINE COAST (FRANCE)

Introduction to GIS. Dr F. Escobar, Assoc Prof G. Hunter, Assoc Prof I. Bishop, Dr A. Zerger Department of Geomatics, The University of Melbourne

Toma Danila Dragos. National Institute for Earth Physics Romania

The Coast of Crystal Cove Orange County, California

GIT Geology and Information Technology 8a Riunione del Gruppo di Geologia informatica Sezione della Società Geologica Italiana

Data access and management

The Geosites of the province of Venice

BEACH NOURISHMENT COMBINED WITH SIC VERTICAL DRAIN IN MALAYSIA.

COASTAL DAMAGE INSPECTION SOUTHWEST VITI LEVU, FIJI AFTER CYCLONE SINA

Understanding Raster Data

CONTINUING EROSION IN SOUTHEASTERN COASTAL MISSISSIPPI - POINT AUX CHENES BAY, WEST GRAND BAY, MIDDLE BAY, GRANDE BATTURE ISLANDS:

2 Context to erosion projections used in the ESC

Introduction to Geographic Information Systems. A brief overview of what you need to know before learning How to use any GIS software packages

Creation of Soil Liquefaction Susceptibility Maps for San Luis Obispo & Marin Counties using Geographic Information Systems.

Regione Lazio Italy Direzione Regionale Ambiente e Cooperazione tra i Popoli

Institute of Natural Resources Departament of General Geology and Land use planning Work with a MAPS

SHOALS Toolbox: Software to Support Visualization and Analysis of Large, High-Density Data Sets

CIESIN Columbia University

SITE INVESTIGATIONS OF THE BEACH EROSION PROBLEM AT MAHO BEACH, ST. MAARTEN

Spatially Enabling SharePoint

Applying GIS in seismic hazard assessment and data integration for disaster management

WHAT IS GIS - AN INRODUCTION

INSTITUTE OF HUMAN RESOURSE ADVANCEMENT (IHRA) UNIVERSITY OF COLOMBO. M. Sc. in Geoinformatics 2014/2015

Mount Laurel Township MUA Hydrant Maintenance Program. Using ArcPad to Track Hydrant Flow Testing and Flushing procedures

For St. Kitts, this would be an investment of approximately US$100 million

What is GIS. What is GIS? University of Tsukuba. What do you image of GIS? Copyright(C) ESRI Japan Corporation. All rights reserved.

A METHODOLOGY FOR GIS INTERFACING OF MARINE DATA

VGIS HANDBOOK PART 2 - STANDARDS SECTION D METADATA STANDARD

GIS Initiative: Developing an atmospheric data model for GIS. Olga Wilhelmi (ESIG), Jennifer Boehnert (RAP/ESIG) and Terri Betancourt (RAP)

DRAFT. Shoreline adaptation alternatives development to determine flood reduction potential and project costs

Utilizing satellite-based information for disaster risk assessment- why and how?

Christian J. Stewart, Christian J. Stewart Consulting James G. Duyndam, Christian J. Stewart Consulting Mark N. Law, Christian J. Stewart Consulting

Coastal Erosion Risk Mitigation Strategies applied in a Small Island Developing State: The Barbados Model

VENETOREGION ROAD NETWORK ROAD MAPPING LASER SCANNING FACILITY MANAGEMENT

Hazards of the Jamaican Coastline ERODING BEACHES: A RESPONSE TO RISING SEA LEVEL?

The Marine Protected Area Inventory

A Bayesian Network to Predict Vulnerability to Sea-Level Rise: Data Report

L Aquila, 22 Ottobre The 2008 SDI: a knowledge based system Venice, March Cartogra. SIT e la C

NASA DEVELOP s 3-D Visualizations and Remote Sensing Applications. NASA DEVELOP, a student-led project headquartered at NASA Langley, allows

GIS: Geographic Information Systems A short introduction

EARTHQUAKE DISASTER GIS AND SPATIAL-TEMPORAL PATTERN OF EARTHQUAKE DISASTERS IN CHINA1

Minnesota Department of Natural Resources \mn_dnr \mn_dnr\spatial \mn_dnr\tabular \mn_dnr\metadata

Section E2 Coastal Engineering: Reconstruction Management and Mitigation

Reading Questions. Lo and Yeung, 2007: Schuurman, 2004: Chapter What distinguishes data from information? How are data represented?

KEY WORDS: Geoinformatics, Geoinformation technique, Remote Sensing, Information technique, Curriculum, Surveyor.

Digital Cadastral Maps in Land Information Systems

Create a folder on your network drive called DEM. This is where data for the first part of this lesson will be stored.

Quality Assurance Reviews of Hydraulic Models Developed for the Central Valley Floodplain Evaluation and Delineation Program

Location Analytics across Curriculum: Lessons from a Business School

ITALIAN SPATIAL DATA INFRASTRUCTURE

Metadata for Big River Watershed Geologic and Geomorphic Data

Technology Trends In Geoinformation

Island County, Washington REQUEST FOR PROPOSALS (RFP) GIS Data Inventory Update for Shoreline Compliance

Geographic Information Systems GIS at UCSD. Here to help you explore our world

GIT Geology and Information Technology

MAPPING THE ST. FRANCIS DAM OUTBURST FLOOD WITH GEOGRAPHIC INFORMATION SYSTEMS

A Case Study Documenting the Dubai Coastal Zone Monitoring Programme An International Example.

Using Spatial Statistics In GIS

Transcription:

GIS TECHNOLOGY FOR COASTAL MANAGEMENT: HISTORICAL EVOLUTION OF THE SOUTHERN MARCHE COASTLINE AND MONITORING OF SAN BENEDETTO DEL TRONTO BEACH (AP) A. Acciarri, G. Di Pancrazio, G. Pasquini UNIVERSITY OF CAMERINO School of Science and Technology Geology Division

Study area Conero Mount PESARO NE ANCONA E SE -The whole Marche coastline has a length of ca. 172 km: 28 km of cliff coast and 144 km of beaches SAN BENEDETTO D.T. - The study area has a length of ca. 74 km - Orientation NNO-SSE Tronto River - Normally the littoral sediment drift goes from S to N

RASTER DATA Catasto Gregoriano IGM Topografic Maps Ortofotocarta Regionale Aerial Photos RAF flight GRID VECTORIAL DATA CTR Shorelines Defense works Sampling sites Information layers Bathymetric Maps DEM RELATED TABLES Sedimentological analysis Beach profiles METADATA Accessorial data of instruments Cronology of events Data informations

Steps of study 1) Finding of previous maps Maps Years Catasto Gregoriano 1835 e 1874 Carta Topografica d Italia IGM 1892/94 e 1948/53 Foto aeree Volo Raf 1943/45 Ortofotocarta regionale 1978 1984-1989 Carta tecnica Regionale 2000 Foto aeree 2000 e 2006 2) Co-georeferencing and analysis of maps with the software ESRI ArcGis 9.3 3) Data processing, based on techniques of spatial analysis as DSAS (Digital Shoreline Analisys System 3.2), allowed to evaluate changes in shoreline position for each time interval

Digital Shoreline Analisys System - DSAS - The Digital Shoreline Analysis System (DSAS) is a GIS-based software computing rate-ofchange statistics from multiple historic shoreline positions. It is also useful for computing rates of change for any other fluctuation problem involving clearly identified feature positions at discrete times. DSAS generates transects casted perpendicular to the baseline with a user-specified spacing alongshore. Transect/shoreline intersections along this baseline are then used to calculate rate-of-change statistics.

19 th century 1835 1892-94 1892-94 1835 1835 1892-94 1874

20th century 189294 189294 1988 194853 1988 1948-53 1892-94 1988 194853

1835 1845 1855 1865 1875 1885 1895 1905 1915 1925 1935 1945 1955 1965 1975 1985 1995 2005 111.150 99.916 103.788 99.948 With of river mouths (m) 113.781 143.078 132.325 135.818 154.715 147.128 Wooded areas (ha) 256.170 Wooded areas variations 900 800 700 600 250.000 230.000 210.000 500 190.000 400 170.000 300 200 100 130.692 131.066 136.651 150.000 130.000 110.000 0 90.000 Years

62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 DECREASE Shoreline variations (m) INCREASE Porto Recanati Beach (MC) Musone R. 80 70 60 Physiographic Unit 2 Musone R. mouth - Potenza R. mouth 1894-1945 Groyns1930 Potenza R. 50 40 30 20 10 0-10 -20-30 -40-50 -60-70 -80 Scossicci Beach Porto Recanati Beach Transect numbers

62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 DECREASE Shoreline variations (m) INCREASE Porto Recanati Beach (MC) Physiographic Unit 2 Musone R. mouth - Potenza R. mouth F. Musone 80 70 60 50 40 30 20 10 0-10 -20-30 -40-50 -60-70 -80 1894-1945 1945-1953 Scossicci Beach GROYNS 1930 Porto Recanati Beach Potenza R. Transect numbers

62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 DECREASE Shoreline variations (m) INCREASE Porto Recanati Beach (MC) Physiographic Unit 2 Musone R. mouth - Potenza R. mouth F. Musone 80 70 60 50 40 30 20 10 0-10 -20-30 -40-50 -60-70 -80 1894-1945 1945-1953 Scossicci Beach Potenza R. BREAKWATERS 1960 GROYNS 1930 Porto Recanati Beach Transect numbers

62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 DECREASE Shoreline variations(m) INCREASE Porto Recanati Beach (MC) Physiographic Unit 2 Musone R. mouth - Potenza R. mouth F. Musone 80 70 60 50 40 30 20 10 0-10 -20-30 -40-50 -60-70 -80 1894-1945 1945-1953 1953-1978 Scossicci Beach Potenza R. BREAKWATERS 1960 GROYNS 1930 Porto Recanati Beach Transect numbers

Porto Recanati Beach (MC) VIEW TO NORTH The development of the most of the beaches in the Marche Region matches with this evolutionary trend: in fact, over 67% (116 km out of 172 km) of the regional coastline is presently protected by some kind of defense works VIEW TO SOUTH

Monitoring of San Benedetto del Tronto beach (AP)

Study area 1 2 1 2

Issues related to erosion December 2008 January 2012

Monitoring of S. Benedetto del Tronto coastline: Geographical information system for data management ESRI ArcGIS 9.3 upgradability integration multidisciplinary creation of thematic maps previous data vectorial and raster data Multitemporality & Storage

Monitoring of S.Benedetto del Tronto coastline 1) Sedimentological analysis FINE SAND 2) GPS survey of the coastline 3) Bathymetric survey

GPS survey of the coastline

GPS survey of the coastline

Bathymetric survey

Possible causes of erosion

Possible causes of erosion

Conclusions A complete and homogeneous database has been realized. It allows to obtain a multidisciplinary, multitemporal and multiscale analysis. The historical evolution analysis of the coastline is the first step to set up a beach monitoring, aimed to individuate the possible erosion processes and planning future events.

THANK YOU FOR ATTENTION Working group: Prof. Carlo Bisci Prof. Gino Cantalamessa Ing. Giorgio Di Pancrazio