Webinar 2. Practical integration of climate resilience into WASH strategies and plans - Welcome to the SWA Climate Action Webinar Series
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Welcome to the SWA Climate
Action Webinar Series
Webinar 2. Practical integration of climate
resilience into WASH strategies and plans
April 20th 2021
Situating the Webinar Series
WEBINAR 3
FINANCE OF THE WASH
RESPONSE
WEBINAR 1 YES
SWA Mutual Accountability Mechanism
IDENTIFICATION
AND APPRAISAL
OF WASH
Multi stakeholder space INTEGRATION INTO
POLICY
SOLUTIONS
STAKEHOLDER
CLIMATE AND
ANALYSIS
MAPPING WASH POLICY
WEBINAR 2
WASH RISK ASSESSMENT
Hazard Assessment
NO
Exposure Assessment
Vulnerability Assessment
Capacity Assessment
2
Overview of this presentation
• Opening and introduction. Jose Gesti, SWA
• Presentation 1: Risk Assessments for WASH.
Kidanemariam Jembere, GWP
• Presentation 2: WASH climate resilient options: A
Generic result frameworks. Silvia Gaya, UNICEF
• Bolivia Case Study: Development of a National
WASH Risk Assessment. Fernando Salazar,
Universidad Mayor de San Simón
• Perú Case study: Climate Resilient Sanitation in flood
areas. Juan Francisco Miranda. Programa Nacional de
Saneamiento Rural.
• Discussant 1. Remarks on Climate Resilient Water
and Sanitation Safety Planning. Rory Moses
McKeown, WHO.
• Discussant 2. Remarks on the WaterAid Water
Security Framework and its implementation. Jonathan
Far, WaterAid.
• Q&A
3
SWA Climate Webinar Series
Webinar 2: Practical integration of climate
resilience into WASH strategies and plans
Climate Risk Analyses for WASH
Kidanemariam Jembere-Technical Advisor
GWP Africa Coordination Unit/Southern Africa
Tuesday 20 April 2021
23 March 202 ADC World Water Day 2021 www.gwp.org/en/GWP-
www.gwp.org/en/GWP-SouthernAfrica
WASH Climate Resilient Development
A risk assessment: “a Identifying,
methodology to Risk Assessment Appraising &
determine the nature for WASH Prioritizing
and extent of risk by Options
analysing potential
hazards and evaluating
existing conditions of
vulnerability that
together could
potentially harm
exposed people,
Integrating CR
property, services,
M&E for CR into WASH
WASH strategies/Plans
livelihoods and the
environment on which
they depend”.
Adapted from UNISDR
terminology on Disaster
Risk Reduction,
UNISDR (2009)
https://www.gwp.org/en/WashClimateResilience/
Understanding Climate Risk
Risk results from the interaction of hazard, exposure
Communities
, instituions
and vulnerability. Capacity also influences risk: high
capacity reduces risk
Capacity
Flood
Flood
prone
areas
Adapted from IPCC
ü Who,
ü What is
What is ü How ü What
the
exposed vulnerabl capacit
hazard?
to e are ies
Risk Analysis: ü What is
hazard, those exist to
its
ü what is exposed influen
nature &
the to hazard ce risk
extent
extent
Components of exposure, vulnerability and capacity
Hazard
Exposure Vulnerability Capacity
FLOOD
Communities that those that are
Communities are residing in flood- poor &
exposed to prone areas no road access
flood hazard
Assessment Approach
Climate Risk Analysis
Tool
https://www.gwp.org/en/WashClimateResilience/
Assessing Hazards
Hazard Frequency Duration Intensity Geographic extent Time of year
Step 1: Identify
Hazards
High-level assessment Detailed climate assessment
Step 2: Score Hazards
Score each hazard (1 to 3) based on the Score each hazard (1 to 3) based on a range of characteristics of
main characteristic(s) of the hazard the hazard which may result in more than one risk
One characteristic scoring system: Two characteristics:
Assessing Hazards
High-level assessment Detailed climate assessment
Step 3: Assign a
One confidence score is assigned for each Two confidence scores are assigned, one for the hazard in the
confidence score hazard present day and one for hazard in future
Hazard Hazard score Present day Confidence Future Confidence
Not expected to occur
Landslide L Rarely occurs M H
more frequently
Low frequency, Low frequency, high
Tropical Cyclone M H M
high intensity intensity
Classification of confidence
§ High Confidence: Based on reliable information or analysis with a strong theoretical basis and widely accepted within the
sector.
§ Medium Confidence: grounded in theory, using accepted methods and with some agreement across the sector.
§ Low Confidence: view based on limited information or very basic estimation methods.
Based on the classification of confidence from Defra (2012) Climate Change Risk Assessment
Methodology Report, UK 2012 Climate Change Risk Assessment, Defra, London.Assessing Exposure
High-level assessment Detailed climate assessment
Step 1: Identify Use stakeholder engagement to Supported by more evidence and expert knowledge
exposure identify and score exposure
In identifying exposure, check whether the hazard will affect:
Hazard Exposure • Any people (if so, any specific groups such as children)
Flooding People, infrastructure (latrines), • Critical infrastructure
• Water sources (if so, are these primary water sources?)
• Any other types of assets in the area
Step 2: Score Hazard Exposure High Medium Low
exposure
Flooding People 1
Flooding infrastructure (latrines), 3
Some suggested
indicators of exposure
to help scoringAssessing Vulnerability
High-level assessment Detailed climate assessment
Step 1: Select
vulnerability Get a single score for each component Score factors for each component
elements/questions
High-Level assessment
Component Element/Question Assessment High Medium Low
Step 2: Score Environmental degradation is high
Rate of environmental degradation
components of Environmental
Are water sources adequately protected?
Water sources are not adequately 3
protected
vulnerability
Detailed assessment
Component Element/Question Assessment High Medium Low
Rate of environmental degradation Environmental degradation is high 3
Environmental
Water sources are not adequately
Are water sources adequately protected? 3
protectedAssessing Capacity
Step 1: Select High-level assessment Detailed climate assessment
capacity
elements/questions Scores to prioritize risks to identify CR WASH options. Scores
Identify elements/questions
not used to determine the overall risk score
High-Level assessment
Step 2: Score Component Element/Question Assessment
components
Are there any community preparedness plans? There are plans but not detailed enough
Social Are social networks in place? There are social networks useful for capcity to
respond
Detailed assessment
Component Element/Question Assessment High Medium Low
Are there any community preparedness There are plans but not detailed
2
plans? enough
Social
There are social networks useful for
Are social networks in place? 3
capacity to respondRisk Prioritization
Hazard Exposure Vulnerability Risk
Description Score Description Score Description Score Score Rank
Physical-infrastructure- Human-
Flooding 3 3 2 18 1
latrines communities
Land sliding 2 Environmental 2 Environmental 3 12 2
Tropical cyclone 2 Physical 3 Social 3 18 1
Check the following:
§ Are you satisfied with the total number of risks to take forward for further analysis?
§ Are there any risks in the prioritised list that you think should not be included?
§ Are there any risks not in the prioritised list that you think should be included?Sensitivity Analysis § Conduct sensitivity analysis for any hazards, exposures and vulnerabilities when there is uncertainty or disagreement. Take another look at the way they have been scored especially where there is a low or medium confidence score. This helps to know whether the outcome would change if scored differently § Sensitivity analysis is useful as it enables further investigation of the scores and can be used to ensure that there is agreement across the group involved in the assessment. For example you might score flooding based on its frequency and intensity, but not sure whether it would be best to score it based on the geographical extent § Sensitivity analysis can be done when a specific step has been completed, or it can be done at the end of the process when you are compiling and prioritizing the list of risks.
Thank You
A Strategic Framework for Climate Resilient WASH options April 2021
Outline of the presentation • The Sector Wide GWP- UNICEF Strategic Framework for Climate Resilient WASH development • Climate Resilient WASH options
A Sector wide Strategic framework for Climate Resilient WASH Development Also in French/Spanish/Portuguese
Climate resilient WASH options to ensure 3
key objectives
1 2 3
Ensure that WASH Ensure that resilient WASH
infrastructure and services systems contribute to reduce Advance towards a low carbon
WASH sector
are sustainable, safe and vulnerability and build
resilient to climate related community resilience to
risks adapt to the impacts of
climate changeClimate resilient WASH options at 3 strategic levels 1. National level 2. Subnational/Watershed level 3. Local & Project level
Results Framework for WASH Climate Resilience
OUTCOME
WASH infrastructure and services are sustainable and resilient to climate related
risks; and WASH contributes to build community resilience to climate change
NATIONAL LEVEL SUBNATIONAL / PROJECT & LOCAL LEVEL
INTERMEDIATE OUTCOME
WATER BASIN
1. An ENABLING
LEVEL 4. Climate
ENVIRONMENT 3. ACCESS to
conducive to 2. Water resources climate resilient resilient
climate resilient are MONITORED WASH BEHAVIORAL
WASH services and MANAGED infrastructure CHANGE and
and communities considering climate and services GOVERNANCE at
risks to WASH community and
services local levelThank You
© UNICEF/SUDA2014-XX228/NooraniEstudio de caso de Bolivia: Desarrollo de una evaluación nacional de riesgos WASH Expositor: Fernando Salazar Ortuño, Docente – Investigador IESE, Universidad Mayor de San Simón (UMSS) Abril 2021
EXPERIENCIA DE APLICACIÓN DE
Taskforce Cambio Climático WASH BAT Nacional
EN BOLIVIA
• 2021 Población de 11.842.000.
• Compromisos internacionales.
• 2001 – 2015. Objetivos del milenio: El 79% de cobertura de agua y 50% de saneamiento.
• Agenda 2030: Objetivo es agua asequible y limpia para todos.
• 2030 Poner fin a la defecación al aire libre.
• SITUACIÓN DEL AGUA EN BOLIVIA.
• 2020. Proyección
• Área urbana es llegar a 95 % de agua potable y 80 % de saneamiento
• Sector rural alcanzar el 70 % de agua y 60% de saneamiento.
• 2025
• 100% cobertura de agua.SITUACIÓN DE ABASTECIMIENTO DE AGUA EN CAPITALES DE BOLIVIA
• Multisistemas de agua en área metropolitana de CochabambaSITUACIÓN DE ABASTECIMIENTO DE AGUA EN CAPITALES DE BOLIVIA
SITUACIÓN REGULAR DE ABASTECIMIENTO DE AGUA
SITUACIÓN DE ABASTECIMIENTO DE AGUA EN MOMENTOS DE CRISIS
PROCESO DE APLICACIÓN
Taskforce Cambio Climático WASH BAT
1. Creación de plataforma nacional de expertos en temática de agua para consumo humano y
alcantarillado.
Participan más de 18 representantes de instituciones académicas universitarias, Centros de Investigación,
ONG´s y Consultores del país.
Socialización de la propuesta metodológica por equipo SIWI-UNICEF.
Se define una agenda de trabajo.
2. Se ajusta las prioridades de los componentes de la metodología WASH BAT al contexto nacional
• Floodings
Amenazas • Droughts
• Glacier retreat
• Minig pollution
Exposición • Waste water pollution
• Forest fires
Vulnerabilidad • Agroindustry pollution- FLOODINGS -
Low extension, high intensity High extension, high intensity
Very high (approx. 84% of the country's Medium – 2 points High – 3 points
A. Score system –
Intensity
municipalities), mainly covering the
Low extension, low intensity High extension, low intensity
departments of Pando, Beni (Amazon area present days Low – 1 points Medium – 2 points
and floodplains), northern La Paz (Amazon
Geographical extent area), northern Cochabamba (Chapare area)
and part of Santa Cruz (integrated northern
Geographical extent
area, Chiquitanía, Llanos). It also affects urban
areas in the form of landslides (e.g. La Paz,
Tiquipaya, etc.).
Frecuency High recurrence. Low extension, high intensity High extension, high intensity
Duration High, 6 months.
B. Score system – Medium – 2 points High – 3 points
Intensity
High. The intensity of the hazard is higher expected future Low extension, low intensity High extension, low intensity
Intensity
with the phenomena of El Niño or La Niña.
Low – 1 points Medium – 2 points
Time of year Rainy season, from October to March
For the scenarios RCP2.6 and RCP8.5 an
increase in water supply is expected in the Geographical extension
Expected future basins of the extreme north and east of the
country that would result in a high risk of Geographical extension, Intensity
flooding. Class Score
Present days Expected future
Other High extension, high
Increases the succession of slides. High High extension, high intensity 3
characteristic? intensity
C. Clasification Medium
High extension, low High extension, low intensity; or High extension
2
intensity and expected to increase in intensity
system
Low extension, High Low extension, high intensity; or expected to
Medium 2
intensity increase in extension, High intensity
Low extension, low Low extension, low intensity; or not
Low 1
intensity expected to occur in the future- DROUGHTS -
High (approx. 67.06% of the country's
municipalities). Mainly areas of the Altiplano Low extension, high frecuency High extension, high frecuency
in the departments of Cochabamba, Oruro, Medium – 2 points High – 3 points
Frecuency
Geographical extent Potosi and La Paz; inter-Andean valleys of A. Score system – Low extension, low frecuency High extension, low frecuency
Cochabamba, Chuquisaca and Tarija; and the
Chaco in the departments of Tarija, Santa Cruz
present days Low – 1 points Medium – 2 points
and Chuquisaca.
Frecuency Medium recurrence. Geographical extension
Duration High, all the year.
High and incremental for cumulative effects
year after year. The intensity of the threat is Low extension, high frecuency High extension, high frecuency
Intensity
high and when the phenomena of the girl or Medium – 2 points High – 3 points
Frecuency
boy is much greater. B. Score system –
Low extension, low frecuency High extension, low frecuency
Time of year
Dry season, from April to September, and wet expected future Low – 1 points Medium – 2 points
season, from October to March
In the RCP2.6 and RCP8.5 scenarios, the
Pilcomayo basin and the Altiplano macro- Geographical extension
Expected future basin will have high and very high scarcity
rates, reducing water supply by more than
50% with respect to 2015 values.
Geographical extension, frecuency
Triggering factor for other adverse and Class Score
catastrophic events such as glacier retreat and Present days Expected future
Other High extension, high
forest fires. They are closely linked to the High High extension, high frecuency 3
characteristic? frecuency
phenomena of land use change and
deforestation. C. Clasification Medium
High extension, low High extension, low frecuency; or High extension
2
frecuency and expected to increase in frecuency
system
Low extension, High Low extension, high frecuency; or expected to
Medium 2
frecuency increase in extension, High frecuency
Low extension, low Low extension, low frecuency; or not
Low 1
frecuency expected to occur in the future- GLACIER RETREAT-
Muy alta. Las consecuencias de esta amenaza
Geographical extent
se extienden a escala nacional.
Alta, incrementándose en la fase ENSO – El
Frecuency
Niño.
Duration Continua, todo el año.
Muy alta, las pérdidas de espesor se
Intensity
encuentran entre 600 a 1000 mm.
Todo el año, mayor en la época húmeda (de Intensity
Time of year Class Score
octubre a marzo). Present days Expected future
El aumento de las temperaturas esperadas en High or expected to increase in
High High intensity 3
los Andes generará un incremento del A. Clasification the future
derretimiento de los glaciares, que se verá Not expected to increase in the
Expected future
acelerado también por el hecho de que la system Medium High intensity
future
2
mayoría de los glaciares han alcanzado su
Medium Low intensity Expected to increase in the future 2
pico hídrico o están a punto de hacerlo.
Factor desencadenante de otros eventos Not expected to increase or occur
adversos y catastróficos como inundaciones Low Low intensity 1
in the future
Other súbitas. Están estrechamente vinculados a los
characteristic? fenómenos de cambio de uso de suelo,
deforestación, incendios forestales y
chaqueos.- MINING POLLUTION-
Low extension, high intensity High extension, high intensity
Medium-high. Katari Basin, Poopó Lake, Medium – 2 points High – 3 points
A. Score system –
Intensity
Choqueyapu, Pampa Huari River, Suches, Low extension, low intensity High extension, low intensity
Geographical extent
Cotagaita, Tupiza and Madre de Dios; Salar de present days Low – 1 points Medium – 2 points
Uyuni and Eduardo Avaroa Reserve.
Frecuency It continues throughout the year.
Duration It continues throughout the year. Geographical extension
Very high, it increases in the rainy season
Intensity because of surface washing due to runoff
water. Low extension, high intensity High extension, high intensity
Medium – 2 points High – 3 points
B. Score system –
Intensity
Time of year It continues throughout the year.
Low extension, low intensity High extension, low intensity
It is predicted to increase in the future due to expected future Low – 1 points Medium – 2 points
its strategic role in the national economy.
Recent government statements place, for
Expected future Geographical extension
example, the exploitation of Lithium as a
central element for post-COVID economic
recovery19 .
Extensión, intensidad
Clase Puntuación
Tiempo presente Tiempo futuro
It promotes deforestation processes, soil and
Alta extensión, alta
Other water removal and contamination, alteration Alto Alta extensión, alta intensidad 3
intensidad
characteristic? of hydrological systems, expropriation of
Alta extensión, baja Alta extensión, baja intensidad; o Alta extensión y
natural resources and favors social conflicts. C. Clasification Medio
intensidad se espera que incremente la intensidad
2
system Baja extensión, alta Baja extensión, alta intensidad; o se espera que
Medio 2
intensidad incremente la extensión, Alta intensidad
Baja extensión, baja Baja extensión, baja intensidad; o se espera que
Bajo 1
intensidad no ocurra en el futuro- WASTE WATER POLLUTION-
By 2016, 30.5% of the population had wastewater
Geographic treatment coverage. Greater threat to the basins of the
al extent most populated cities: La Paz, Choqueyapu, Rocha, Piraí
and Katari rivers.
Frecuency Continuous. Low extension, high intensity High extension, high intensity
Duration Permanent all year round. Medium – 2 points High – 3 points
A. Score system –
Intensity
Greater in areas with more population and economic and
Low extension, low intensity High extension, low intensity
industrial development. In the rainy season, the amount of
water collected by sanitary sewers increases, discharging
present days Low – 1 points Medium – 2 points
untreated wastewater directly to water bodies and
Intensity increasing the risk of WWTP collapse due to the Geographical extension
capacity/volume ratio. It involves the mixing of rainwater
and wastewater but not necessarily greater pollution.
Low extension, high intensity High extension, high intensity
Time of Medium – 2 points High – 3 points
Continuous. B. Score system –
Intensity
year
Low extension, low intensity High extension, low intensity
The State's planning foresees: expected future Low – 1 points Medium – 2 points
• Investment to increase PTAR coverage to 65%, with a
reduction in the level of contamination of basins and
water bodies and, in the long term, a recovery of water Geographical extension
quality.
• Greater control and supervision of domestic, industrial
and other discharges.
Georephical extention, inetnsity
• Reuse of treated water for irrigation and use of Class Score
Expected Present days Expected future
stabilized sludge as soil improvers.
future High extension, high
• Technological development in accordance with the High High extension, high intensity 3
intensity
climatological, economic and social reality (different
sanitation solutions). C. Clasification Medium
High extension, low High extension, low intensity; or High extension
2
intensity and expected to increase in intensity
• Social development with the participation of the users. system Low extension, High Low extension, high intensity; or expected to
• Development of cities with equitable access to Medium 2
sanitation and wastewater treatment services, with intensity increase in extension, High intensity
quality and climate resilience. Low extension, low Low extension, low intensity; or not
Low 1
intensity expected to occur in the future- FOREST FIRES-
Principalmente en los departamentos de Santa Low extension, high intensity High extension, high intensity
Geographical
Cruz, Beni, Tarija, Pando y parte de Cochabamba Medium – 2 points High – 3 points
extent
A. Score system –
Intensity
y La Paz.
Low extension, low intensity High extension, low intensity
Greater in the dry season, coinciding with soil present days Low – 1 points Medium – 2 points
Frecuency preparation activities (chaqueos, June/July-
September).
Duration June/july – october/november Geogrephical extension
High, serious affectations to forest areas,
agricultural lands, pastures, natural protected
Intensity
areas. Associated with droughts, which increase Low extension, high intensity High extension, high intensity
the intensity. Medium – 2 points High – 3 points
B. Score system –
Intensity
Time of year Dry season.
Low extension, low intensity High extension, low intensity
In a context of global warming and increased rate expected future Low – 1 points Medium – 2 points
of deforestation, conditions will be generated to
Expected future
increase the frequency and intensity of forest
fires. Geogrephical extension
Link to processes of change in land use due to the
advance of the agricultural frontier and the Georephical extention, inetnsity
Class Score
expansion of human settlements, loss of Present days Expected future
biodiversity, increase in GHG emissions and High extension, high
High High extension, high intensity 3
Other environmental contaminants, effect on the intensity
characteristic? melting of glaciers, contamination of water High extension, low intensity; or High
High extension, low
sources, impact on water storage in the soil, Medium extension and expected to increase in 2
impact on livelihoods, health and infrastructure.
C. Clasification intensity
intensity
Advancement of agribusiness, decree on system
Low extension, High Low extension, high intensity; or expected
transgenics. Climate and socio-cultural issues. Medium 2
intensity to increase in extension, High intensity
Low extension, low Low extension, low intensity; or not
Low 1
intensity expected to occur in the future- FOREST FIRESAGROINDUSTRY POLLUTION-
Gracias
Estudio de caso de Perú: Módulos de Sistema de Saneamiento en Zonas Rurales: Caso Loreto Expositor: Juan Francisco Miranda Leyva , Coordinador General del Programa de Agua Potable y Saneamiento para la Amazonía Rural – PNSR- MVCS Abril 2021
ÁMBITO DE INTERVENCIÓN DEL PROGRAMA AMAZONIA RURAL
LORETO
PROVINCIAS DE MAYNAS, LORETO Y
AMAZONAS ALTO AMAZONAS
PROVINCIA DE BAGUA DISTRITOS DE SAN JUAN BAUTISTA,
DISTRITO DE IMAZA NAUTA Y BALSAPUERTO
33 PROYECTOS 66 PROYECTOS
13,810 BENEFICIARIOS 25,173 BENEFICIARIOS
S/ 148.5 MILLONES S/ 320 MILLONES
N° DE CONEXIONES DE AGUA: 3,517 N° DE CONEXIONES DE AGUA: 5,897
SAN MARTÍN
METAS DEL PROGRAMA PROVINCIAS DE MOYOBAMBA Y
RIOJA
146 Proyectos, 162 localidades, DISTRITOS DE MOYOBAMBA,
07 distritos, 6 Provincias JEPELACIO Y NUEVA CAJAMARCA
47 PROYECTOS
63,583 Personas beneficiadas
24,600 BENEFICIARIOS
16,368 Conexiones de Agua S/ 208.8 MILLONES
N° DE CONEXIONES DE AGUA: 6,954
16,650 Conexiones de Saneamiento
US $ 275.58 millonesAntecedentes de la iniciativa
• La selva baja (Loreto, Amazonas y Ucayali) presenta
dificultades para contar con un buen sistema de agua
y saneamiento por ser zonas inundables (y que vayan
acorde al contexto cultural de la zona).
• Brecha de cobertura nacional (22.9%) en acceso a
agua. Selva baja con indicadores alarmantes. Loreto,
por ejemplo, tiene 74.9%.
• Brecha de cobertura de disposición sanitaria de
excretas alcanza un 70.4% que representa una
población estimada de 4,844,088 habitantes del
ámbito rural.Antecedentes de la iniciativa • Prioridad para el país. Plan Bicentenario, Plan Nacional de Saneamiento y ODS 6 y 8. • Todo Proyecto del Programa se articula a nivel institucional y comunal: Gobierno Regional, Gobierno Local, Federaciones nativas y comunidad en general. • Presupuesto estimado: El módulo de saneamiento para zonas rurales contempla captación de agua de lluvia y Unidad Básica de Saneamiento. Promedio de 60,000 soles (US $ 20 Mil aprox).
Teoría de cambio
Enfermedades
diarreicas
Instalación de
Temporada de agudas,
módulos de
lluvia en anemia,
saneamiento
Amazonía desnutrición
para zonas
(inundaciones) crónica infantil,
rurales
dengue,
muerte
Reducción de
Consumo de
enfermedades.
agua no segura
Ahorro en salud
Río contaminado
para el Estado
Disposición de
(Aprox. 150 soles
excretas
por
inadecuada
persona/año)Módulos de sistema de saneamiento para zonas rurales
Sistema de captación de agua de lluvia
Componentes del Sistema:
1. Techo de Aluzinc (40 a 50 m2)
2. Tanque de 250 litros, para las primeras aguas (polvo, maleza, etc.)
3. Dos tanques de almacenamiento de 2,500 litros.
3
4. Bomba manual.
5. Clorador en Línea.
6. Tanque elevado de 250 litros. 6
2
4 5
1Unidad Básica de Saneamiento con compostera
2
1 UBS ecoinodo Ducha 5 ventan
r
a
4
6 lavadero
Lava manos
3Desafíos y Lecciones aprendidas
Desafíos Lecciones aprendidas
• Acercamiento a la población de • Diálogo con las autoridades
comunidades nativas. comunales y Federaciones.
• El factor climatológico limita la • Ingreso y planificación de
ejecución de los Proyectos de proyectos en meses sin lluvia e
manera mas dinámica. inundación y aplicar plazos cortos
• Empresas contratistas dispuestas para la ejecución oportuna.
a ejecutar en zonas agrestes • Enfoque intercultural e
• Llegar al lugar más recóndito de involucramiento a todo nivel.
la Amazonía Rural. • La implementación de la
• Cerrar brecha en temas de agua y infraestructura es un medio para
saneamiento. lograr el objetivo. Se requiere un
• Contribuir a la erradicación de fuerte acompañamiento social.
EDAS, anemia y desnutrición
crónica infantil.Proceso constructivo del Proyecto del Centro Poblado 13 de
febrero, Nauta, Iquitos
• N° de beneficiarios: 667 habitantes
• N° de conexiones domiciliares: 182
• Monto de inversión: US $2.66 millones¡GRACIAS!
Discussant 1: Remarks on Climate Resilient Water and Sanitation Safety Planning. Rory Moses McKeown. Senior Technical Consultant at WHO
Discussant 2: Remarks on the WaterAid Water Security Framework and its implementation. Jonathan Far. Senior Climate Advisor, WaterAid.
Thank You! We see you soon: Webinar 3 on WASH and Climate Financing (April 29th) The video recordings and presentations of webinars 1 and 2 are available on SWA website For questions or comments, please email at: lucinda.ohanlon@sanitationandwaterforall.org Jose.gesti@sanitationandwaterforall.org
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