Rapid Human-Driven Undermining of Atoll Island Capacity to Adjust to Ocean Climate-Related Pressures Virginie K
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This Keyword List Contains Indian Ocean Place Names of Coral Reefs, Islands, Bays and Other Geographic Features in a Hierarchical Structure
CoRIS Place Keyword Thesaurus by Ocean - 8/9/2016 Indian Ocean This keyword list contains Indian Ocean place names of coral reefs, islands, bays and other geographic features in a hierarchical structure. For example, the first name on the list - Bird Islet - is part of the Addu Atoll, which is in the Indian Ocean. The leading label - OCEAN BASIN - indicates this list is organized according to ocean, sea, and geographic names rather than country place names. The list is sorted alphabetically. The same names are available from “Place Keywords by Country/Territory - Indian Ocean” but sorted by country and territory name. Each place name is followed by a unique identifier enclosed in parentheses. The identifier is made up of the latitude and longitude in whole degrees of the place location, followed by a four digit number. The number is used to uniquely identify multiple places that are located at the same latitude and longitude. For example, the first place name “Bird Islet” has a unique identifier of “00S073E0013”. From that we see that Bird Islet is located at 00 degrees south (S) and 073 degrees east (E). It is place number 0013 at that latitude and longitude. (Note: some long lines wrapped, placing the unique identifier on the following line.) This is a reformatted version of a list that was obtained from ReefBase. OCEAN BASIN > Indian Ocean OCEAN BASIN > Indian Ocean > Addu Atoll > Bird Islet (00S073E0013) OCEAN BASIN > Indian Ocean > Addu Atoll > Bushy Islet (00S073E0014) OCEAN BASIN > Indian Ocean > Addu Atoll > Fedu Island (00S073E0008) -
Management of Coastal Erosion by Creating Large-Scale and Small-Scale Sediment Cells
COASTAL EROSION CONTROL BASED ON THE CONCEPT OF SEDIMENT CELLS by L. C. van Rijn, www.leovanrijn-sediment.com, March 2013 1. Introduction Nearly all coastal states have to deal with the problem of coastal erosion. Coastal erosion and accretion has always existed and these processes have contributed to the shaping of the present coastlines. However, coastal erosion now is largely intensified due to human activities. Presently, the total coastal area (including houses and buildings) lost in Europe due to marine erosion is estimated to be about 15 km2 per year. The annual cost of mitigation measures is estimated to be about 3 billion euros per year (EUROSION Study, European Commission, 2004), which is not acceptable. Although engineering projects are aimed at solving the erosion problems, it has long been known that these projects can also contribute to creating problems at other nearby locations (side effects). Dramatic examples of side effects are presented by Douglas et al. (The amount of sand removed from America’s beaches by engineering works, Coastal Sediments, 2003), who state that about 1 billion m3 (109 m3) of sand are removed from the beaches of America by engineering works during the past century. The EUROSION study (2004) recommends to deal with coastal erosion by restoring the overall sediment balance on the scale of coastal cells, which are defined as coastal compartments containing the complete cycle of erosion, deposition, sediment sources and sinks and the transport paths involved. Each cell should have sufficient sediment reservoirs (sources of sediment) in the form of buffer zones between the land and the sea and sediment stocks in the nearshore and offshore coastal zones to compensate by natural or artificial processes (nourishment) for sea level rise effects and human-induced erosional effects leading to an overall favourable sediment status. -
Population and Housing Census 2014
MALDIVES POPULATION AND HOUSING CENSUS 2014 National Bureau of Statistics Ministry of Finance and Treasury Male’, Maldives 4 Population & Households: CENSUS 2014 © National Bureau of Statistics, 2015 Maldives - Population and Housing Census 2014 All rights of this work are reserved. No part may be printed or published without prior written permission from the publisher. Short excerpts from the publication may be reproduced for the purpose of research or review provided due acknowledgment is made. Published by: National Bureau of Statistics Ministry of Finance and Treasury Male’ 20379 Republic of Maldives Tel: 334 9 200 / 33 9 473 / 334 9 474 Fax: 332 7 351 e-mail: [email protected] www.statisticsmaldives.gov.mv Cover and Layout design by: Aminath Mushfiqa Ibrahim Cover Photo Credits: UNFPA MALDIVES Printed by: National Bureau of Statistics Male’, Republic of Maldives National Bureau of Statistics 5 FOREWORD The Population and Housing Census of Maldives is the largest national statistical exercise and provide the most comprehensive source of information on population and households. Maldives has been conducting censuses since 1911 with the first modern census conducted in 1977. Censuses were conducted every five years since between 1985 and 2000. The 2005 census was delayed to 2006 due to tsunami of 2004, leaving a gap of 8 years between the last two censuses. The 2014 marks the 29th census conducted in the Maldives. Census provides a benchmark data for all demographic, economic and social statistics in the country to the smallest geographic level. Such information is vital for planning and evidence based decision-making. Census also provides a rich source of data for monitoring national and international development goals and initiatives. -
1 the Influence of Groyne Fields and Other Hard Defences on the Shoreline Configuration
1 The Influence of Groyne Fields and Other Hard Defences on the Shoreline Configuration 2 of Soft Cliff Coastlines 3 4 Sally Brown1*, Max Barton1, Robert J Nicholls1 5 6 1. Faculty of Engineering and the Environment, University of Southampton, 7 University Road, Highfield, Southampton, UK. S017 1BJ. 8 9 * Sally Brown ([email protected], Telephone: +44(0)2380 594796). 10 11 Abstract: Building defences, such as groynes, on eroding soft cliff coastlines alters the 12 sediment budget, changing the shoreline configuration adjacent to defences. On the 13 down-drift side, the coastline is set-back. This is often believed to be caused by increased 14 erosion via the ‘terminal groyne effect’, resulting in rapid land loss. This paper examines 15 whether the terminal groyne effect always occurs down-drift post defence construction 16 (i.e. whether or not the retreat rate increases down-drift) through case study analysis. 17 18 Nine cases were analysed at Holderness and Christchurch Bay, England. Seven out of 19 nine sites experienced an increase in down-drift retreat rates. For the two remaining sites, 20 retreat rates remained constant after construction, probably as a sediment deficit already 21 existed prior to construction or as sediment movement was restricted further down-drift. 22 For these two sites, a set-back still evolved, leading to the erroneous perception that a 23 terminal groyne effect had developed. Additionally, seven of the nine sites developed a 24 set back up-drift of the initial groyne, leading to the defended sections of coast acting as 1 25 a hard headland, inhabiting long-shore drift. -
Assessing Long-Term Changes in the Beach Width of Reef Islands Based on Temporally Fragmented Remote Sensing Data
Remote Sens. 2014, 6, 6961-6987; doi:10.3390/rs6086961 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Assessing Long-Term Changes in the Beach Width of Reef Islands Based on Temporally Fragmented Remote Sensing Data Thomas Mann 1,* and Hildegard Westphal 1,2 1 Leibniz Center for Tropical Marine Ecology, Fahrenheitstrasse 6, D-28359 Bremen, Germany; E-Mail: [email protected] 2 Department of Geosciences, University of Bremen, D-28359 Bremen, Germany * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +49-421-2380-0132; Fax: +49-421-2380-030. Received: 30 May 2014; in revised form: 7 July 2014 / Accepted: 18 July 2014 / Published: 25 July 2014 Abstract: Atoll islands are subject to a variety of processes that influence their geomorphological development. Analysis of historical shoreline changes using remotely sensed images has become an efficient approach to both quantify past changes and estimate future island response. However, the detection of long-term changes in beach width is challenging mainly for two reasons: first, data availability is limited for many remote Pacific islands. Second, beach environments are highly dynamic and strongly influenced by seasonal or episodic shoreline oscillations. Consequently, remote-sensing studies on beach morphodynamics of atoll islands deal with dynamic features covered by a low sampling frequency. Here we present a study of beach dynamics for nine islands on Takú Atoll, Papua New Guinea, over a seven-decade period. A considerable chronological gap between aerial photographs and satellite images was addressed by applying a new method that reweighted positions of the beach limit by identifying “outlier” shoreline positions. -
Table 2.3 : POPULATION by SEX and LOCALITY, 1985, 1990, 1995
Table 2.3 : POPULATION BY SEX AND LOCALITY, 1985, 1990, 1995, 2000 , 2006 AND 2014 1985 1990 1995 2000 2006 20144_/ Locality Both Sexes Males Females Both Sexes Males Females Both Sexes Males Females Both Sexes Males Females Both Sexes Males Females Both Sexes Males Females Republic 180,088 93,482 86,606 213,215 109,336 103,879 244,814 124,622 120,192 270,101 137,200 132,901 298,968 151,459 147,509 324,920 158,842 166,078 Male' 45,874 25,897 19,977 55,130 30,150 24,980 62,519 33,506 29,013 74,069 38,559 35,510 103,693 51,992 51,701 129,381 64,443 64,938 Atolls 134,214 67,585 66,629 158,085 79,186 78,899 182,295 91,116 91,179 196,032 98,641 97,391 195,275 99,467 95,808 195,539 94,399 101,140 North Thiladhunmathi (HA) 9,899 4,759 5,140 12,031 5,773 6,258 13,676 6,525 7,151 14,161 6,637 7,524 13,495 6,311 7,184 12,939 5,876 7,063 Thuraakunu 360 185 175 425 230 195 449 220 229 412 190 222 347 150 197 393 181 212 Uligamu 236 127 109 281 143 138 379 214 165 326 156 170 267 119 148 367 170 197 Berinmadhoo 103 52 51 108 45 63 146 84 62 124 55 69 0 0 0 - - - Hathifushi 141 73 68 176 89 87 199 100 99 150 74 76 101 53 48 - - - Mulhadhoo 205 107 98 250 134 116 303 151 152 264 112 152 172 84 88 220 102 118 Hoarafushi 1,650 814 836 1,995 984 1,011 2,098 1,005 1,093 2,221 1,044 1,177 2,204 1,051 1,153 1,726 814 912 Ihavandhoo 1,181 582 599 1,540 762 778 1,860 913 947 2,062 965 1,097 2,447 1,209 1,238 2,461 1,181 1,280 Kelaa 920 440 480 1,094 548 546 1,225 590 635 1,196 583 613 1,200 527 673 1,037 454 583 Vashafaru 365 186 179 410 181 229 477 205 272 -
Nassimo Thila and Banana Reef, North Male' Atoll, Maldives
Socioeconomic Monitoring for Coastal Managers of South Asia: Field Trials and Baseline Surveys Nassimo Thila and Banana Reef, North Male’ Atoll, Maldives Project completion Report: NA10NOS4630055 Prepared By Marie Saleem March 2012 This volume contains the results of the Socioeconomic Assessment and monitoring project supported by IUCN/ NOAA Prepared by: 1. Seamarc Pvt. Ltd, M. Honey Dew, Izzudheen Magu, Male’, Maldives 2. Divers Association of Maldives, M. Anthias, Male’, Maldives Citation: Saleem, M. (2012). Socioeconomic Monitoring and Assessment for Coral Reef Management at Nassimo Thila and Banana Reef, Kaafu Atoll, Maldives Acknowledgements: We would like to extend our sincere thanks to the following individuals and organisations for their ongoing support and inputs: 1. Ms. Christy Loper, Scott Frew and Eileen Alicea, NOAA, USA 2. Mary Beth West and Ang Sherpa, IUCN, USA 3. Maeve Nightingale, IUCN, Asia 4. Dr. Mohamed Shiham Adam, MRC, Maldives 5. Huraa Island Council 6. Himmafushi Island Council 7. Vineeta Hoon, CARESS, India We would also like to express our heartfelt thanks to the dynamic Socmon Maldives Team and all those who participated in the surveys. Cover illustration: Kamille Le Berre 2 Table of Contents Introduction ........................................................................................5 Aims and Objectives ...........................................................................9 Study Area ........................................................................................10 Methodology .....................................................................................12 -
ENVIRONMENTAL IMPACT ASSESSMENT for the Proposed Resort Development in Kabaalifaru Resort, Shaviyani Atoll, Maldives
ENVIRONMENTAL IMPACT ASSESSMENT For the Proposed resort development in Kabaalifaru Resort, Shaviyani Atoll, Maldives Proposed by Ali Shareef Signature: Prepared by Aslam Shakir For Water Solutions Pvt. Ltd., Maldives September 2007 EIA for Kanbaalifaru, Vol 1, Rev 0 Page | ii Table of Contents 1 INTRODUCTION .......................................................................................................................... 1 1.1 AIMS AND OBJECTIVES OF THE EIA .................................................................................................. 1 1.2 TERMS OF REFERENCE AND SCOPE FOR THIS EIA ............................................................................ 1 1.3 METHODOLOGIES .............................................................................................................................. 2 1.4 EXECUTION OF THE EIA .................................................................................................................... 3 2 PROJECT DESCRIPTION .......................................................................................................... 4 2.1 PROJECT PROPONENT ........................................................................................................................ 4 2.2 PROJECT LOCATION ........................................................................................................................... 4 2.3 PROJECT JUSTIFICATION .................................................................................................................... 5 2.4 PROJECT -
Guidance for Flood Risk Analysis and Mapping
Guidance for Flood Risk Analysis and Mapping Coastal Notations, Acronyms, and Glossary of Terms May 2016 Requirements for the Federal Emergency Management Agency (FEMA) Risk Mapping, Assessment, and Planning (Risk MAP) Program are specified separately by statute, regulation, or FEMA policy (primarily the Standards for Flood Risk Analysis and Mapping). This document provides guidance to support the requirements and recommends approaches for effective and efficient implementation. Alternate approaches that comply with all requirements are acceptable. For more information, please visit the FEMA Guidelines and Standards for Flood Risk Analysis and Mapping webpage (www.fema.gov/guidelines-and-standards-flood-risk-analysis-and- mapping). Copies of the Standards for Flood Risk Analysis and Mapping policy, related guidance, technical references, and other information about the guidelines and standards development process are all available here. You can also search directly by document title at www.fema.gov/library. Coastal Notation, Acronyms, and Glossary of Terms May 2016 Guidance Document 66 Page i Document History Affected Section or Date Description Subsection Initial version of new transformed guidance. The content was derived from the Guidelines and Specifications for Flood Hazard Mapping Partners, Procedure Memoranda, First Publication May 2016 and/or Operating Guidance documents. It has been reorganized and is being published separately from the standards. Coastal Notation, Acronyms, and Glossary of Terms May 2016 Guidance Document 66 -
Land Acquisition and Resettlement Due Diligence Report ______
Land Acquisition and Resettlement Due Diligence Report ____________________________________________________________________________ Document Stage: Draft Project Number: 51077 March 2018 Republic of the Maldives: Greater Malé Environmental Improvement and Waste Management Project - Thulusdhoo Island Waste Management Improvements Subproject This Due Diligence Report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. CURRENCY EQUIVALENTS (as of 15 March 2018) Currency unit = Rufiyaa (Rf) Rf1.00 = $0.065 USD USD 1.00 = Rf15.449 ABBREVIATIONS ADB - Asian Development Bank DDR - due diligence report IWMC - Island Waste Management Centre SWM - Solid waste management tpd - tons per day WAMCO - Waste Management Corporation Limited CONTENTS I. INTRODUCTION .................................................................................................................1 A. Project Background ..........................................................................................................1 B. Project Description ...........................................................................................................1 -
The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes
1 Surveys in Geophysics Archimer November 2011, Volume 40, Issue 6, Pages 1563-1601 https://doi.org/10.1007/s10712-019-09557-5 https://archimer.ifremer.fr https://archimer.ifremer.fr/doc/00509/62046/ The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes Dodet Guillaume 1, *, Melet Angélique 2, Ardhuin Fabrice 6, Bertin Xavier 3, Idier Déborah 4, Almar Rafael 5 1 UMR 6253 LOPSCNRS-Ifremer-IRD-Univiversity of Brest BrestPlouzané, France 2 Mercator OceanRamonville Saint Agne, France 3 UMR 7266 LIENSs, CNRS - La Rochelle UniversityLa Rochelle, France 4 BRGMOrléans Cédex, France 5 UMR 5566 LEGOSToulouse Cédex 9, France *Corresponding author : Guillaume Dodet, email address : [email protected] Abstract : Surface gravity waves generated by winds are ubiquitous on our oceans and play a primordial role in the dynamics of the ocean–land–atmosphere interfaces. In particular, wind-generated waves cause fluctuations of the sea level at the coast over timescales from a few seconds (individual wave runup) to a few hours (wave-induced setup). These wave-induced processes are of major importance for coastal management as they add up to tides and atmospheric surges during storm events and enhance coastal flooding and erosion. Changes in the atmospheric circulation associated with natural climate cycles or caused by increasing greenhouse gas emissions affect the wave conditions worldwide, which may drive significant changes in the wave-induced coastal hydrodynamics. Since sea-level rise represents a major challenge for sustainable coastal management, particularly in low-lying coastal areas and/or along densely urbanized coastlines, understanding the contribution of wind-generated waves to the long-term budget of coastal sea-level changes is therefore of major importance. -
South Asia Disaster Risk Management Programme
Synthesis Report on South Asian Region Disaster Risks – Final Report South Asia Disaster Risk Management Programme: Synthesis Report on SAR Countries Disaster Risks Synthesis Report on South Asian Region Disaster Risks – Final Report Table of Content PREFACE................................................................................................................................................IV ACKNOWLEDGEMENTS.........................................................................................................................V LIST OF FIGURES..................................................................................................................................VI ABBREVIATION USED............................................................................................................................X EXECUTIVE SUMMARY..........................................................................................................................1 1.1 BACKGROUND ....................................................................................................................................................... 1 1.2 KEY FINDINGS ....................................................................................................................................................... 1 1.3 WAY FORWARD ..................................................................................................................................................... 3 1.3.1 Additional analyses ..................................................................................................................................