#1UN-WWQA - COVID-19 WEBINAR THE YEAR THE 21ST CENTURY BEGAN: COVID-19 AND WATER QUALITY May 27th, 2020 Eduardo Mario Mendiondo The WADI Lab - Water-Adaptive Design & Innovation Dept Hydraulics & Sanitation Engineering Escola de Engenharia de Sao Carlos University of Sao Paulo - Brazil [email protected] Tel: +55 16 997221438#2SUSTAINABLE GOALS DEVELOPMENT KNOWLEDGE PLATFORM HOME SDGS HLPF STATES SIDS YSTEM STAKEHOLDERS TOPIC PARTNERSHIPS ABOUT NO POVERTY COVID-19's time series with forecast in Brazil (updated on 27 May, 2020) SUSTAINABLE DEVELOPMENT GOALS CLEAN WATER AND SANITATION AFFORDABLE AND CLEAN ENERGY DECL ORK AND ECONO "OWTH Daily count 600k 550k 500k 450k 400k 350k covid19.healthdata.org Brazil Today V 3.5k 3k 2.5k covid19.healthdata.org Brazil V Daily deaths ① Today == 240k 220k 200k 180k 160k 12 RESPONSIBLE CONSUMPTION AND PRODUCTION Qo NGER 2 SSS GOOD HEALTH AND WELL-BEING W QUALIT EDUCAT 5 GENDER EQUALITY RESOURCES INDUSTRY, INNOVATION AND INFRASTRUCTURE 10' JED QUALITIES 11 SUSTAINABLE CITIES AND COMMUNITIES CLIMATE ACTION 14 LIFE BELOW WATER LIFE 15 ON LAND 16 PEACE, JUSTICE AND STRONG INSTITUTIONS 17 PARTNERSHIPS FOR THE GOALS covid19.healthdata.org Brazil 125,833 COVID-19 deaths projected by August 4, 2020 Today = 300k- 250k 200k- Daily deaths 2k 1.5k 150k- Total deaths 140k 120k 100k 100k 1k 80k 50k- 60k 500 0 Mar 1 Apr 1 May 1 40k Jun 1 Jul 1 Aug 1 Date 0 20k Mar 1 Apr 1 Estimated infections Confirmed infections Tests Tests (projected) Shaded areas indicate 95% uncertainty interval. ① Daily deaths Daily deaths (projected) All deaths specific to COVID-19 patients. Shaded area indicates 95% uncertainty interval. ① Total deaths Total deaths (projected) All deaths specific to COVID-19 patients. Shaded area indicates 95% uncertainty interval. ① May 1 Jun 1 Jul 1 Aug 1 0 Date Mar 1 Apr 1 May 1 Jun 1 Jul 1 Aug 1 Date#3SUSTAINABLE DEVELOPMENT GOALS KNOWLEDGE PLATFORM SDGS HLPF STATES SIDS UN SYSTEM STAKEHOLDERS TOPICS PARTNERSHIPS ABOUT 1960-2030's timeframe of water withdrawals, carbon footprint and GNP in Brazil Total untreated wastewater is ca. 15-30 times higher than total water withdrawal HOME 1 NO POVERTY SUSTAINABLE DEVELOPMENT AL 6 CLEAN WATER AND SANITATION 7 GDP per person v annual emissions per person 1850-2016, log scales → China now has the Annual emissions per person ZERO 2 HUNGER ( 3 GOOD HEALTH AND WELL-BEING 4 QUALITY DUCATION AFFORDAR AND LEAN EN GY DECENT WORK AND 8 DECONOMIC GROWTH M NU INFRASTRUCTURE 10 REDUCED INEQUALITIES 40 RESPONSIB CONSUMP Anunu 11ON 13 CLIMATE ACTION LIFE LIFE ULLUT WATER ON LAND 16 PEACE, JUSTICE AND STRONG INSTITUTIONS Q EVOLUÇÃO DAS RETIRADAS DE ÁGUA NO BRASIL, POR SETOR USUÁRIO - 1931/2030 Tonnes of CO2 equivalent 50 United States, Britain, France & Germany m³/s 2.500 2000 1960 Global trend 2016 weighted by population 10 same emissions per person as Western countries did in 1885 1885 2016 China 1850 1 1960 1900 1900 1850 2000 2016 Other countries 2016 Time evolution of water demands, carbon footprint and GNP in Brazil: Year 1960: 450 m3/s; 0.6 ton CO2/capita; U$ 3450/inhab. 2.000 Year 2016: 2000 m3/s; 2.6 ton CO2/capita; U$ 11000/inhab. Year 2030: 2500 m3/s; 3.5 ton CO2/capita; U$ ?????/inhab. Note: wastewater autodepuration demand are NOT included!!! 1.500 2000 India & Indonesia ↑ Economies get more 1960 carbon-efficient once they get rich, causing their emissions per person to level off 1.000 Total emissions, gigatonnes of CO₂ equivalent 12.5 2.5 10 GDP per person, 2019 prices, $'000 100 O The Economist 2019, reproduced under permission 0.1 500 0 1931 1940 1949 1958 1967 1975 1985 1994 2003 2012 2021 2030 © Agencia Nacional de Aguas, Brazil - Plano Nacional de Segurança Hidrica (2019-2020) сл GENDER EQUALITY RESOURCES 11 SUSTAINABLE CITIES AND COMMUNITIES 17 PARTNERSHIPS FOR THE GOALS ANO 2030 Irrigação Uso Urbano Indústria Termelétrica Uso Animal Uso Rural Mineração#4NEXT STEPS: a new generation WTA insurance with PES would support of EbA for WEF+B under climate change if decision-makers do acknowledge innovative governance with more policies of Public-Private Partnerships (PPPs) planned for population empowerment at > 40,000 Brazilian Risk Prone Areas Brazil 2018: 40.000 vulnerability areas with 60million people needing adaptation strategies for water security The gap for insurance; these initiatives are still under progress, especially to cope with floods, andslides, droughts, progressive biodiversity losses, energy burnouts, fires and desertification. Problems: BRAZILIAN HOT SPOTS ➤ strong social/environ. vulnerability > 60% of Brazilian GNP threatened by water disaster risks 40,000 risk areas mapped, ➤ approx. 6 risk areas / municipality 1 education station /10 rainfall st. ➤ 95% of risk-prone areas with time of concentration < 2 hours, ➤ complex patterns of land-use and socioeconomic vulnerability, Superfície de Áreas de Risco por Município (m2) 1,E+10' de'inundação' (risco'hidrológico,'Atotal=2315km2)' O de'mov.massa' (risco'geológico,'Atotal=1160km2)' 1,E+09' 1,E+08Median of Brazilian, Municipality population 880 1,E+07' 1,E+06' 1,E+05' 1,E+04' 1,E+03' Small Town, Ci.e. Lajedinho-BA 1,E+02' 1000' 10000' Medium-size Municipality, i.e. Lapão-BA 100000' Median size of land-slide risk- prone area at Municipality scale Median size of flood risk-prone area at Municipality scale Metropolitan Region, i.e. Salvador-BA 1000000' 10000000' População do Município (N=5565) Opportunities for WTA Insurance: Low-cost technologies for disaster risk reduction in vulnerability areas: - social media (SM) citizen observatories (CO) water security framework in line with recent Federal Acts of: Water Resources (1997), Urban Waters (2007), Climate Change Policy (2009) and Civil Protection (2012) robertots, Flas Raised in Cabs & Rebe Skada Dioxossboed mestn Brazil: 20 Radars, >6000 Online Rainfall Stations; > 600 Online Streamflow Stations; 10* Robotic Stations, 900 Motion Sensors, 685 Soil Moisture Sts SocioHydrological Observatories for Water Security: Observations through Under-Represented Sensors for the Prediction in Ungauged Basins 4#5SUSTAINABLE DEVELOPMENT GOALS KNOWLEDGE PLATFORM HOME SDGS HLPF STATES SIDS UN SYSTEM ABOUT SUSTAINABLE DEVELOPMENT GOALS CLEAN WATER AND SANITATION NO POVERTY AFFORDABLE AND CLEAN ENERGY Secondary data & environmental standards UMPTION AND PRODUCTION CLIMATE 13 ACTION Pollutant loads (WaterES demand) Observed grey Water Footprint (greyWF) Reference grey Water Footprint (greyWFref) Diversity of Brazilian basins under different climates, drainage areas, land uses and river regimes (water quantity and quality). Quantity [greyWF-greyWFref\prob Watershed Degradation (WD) obs grey WF Probably ref greyWF Water yield (WaterES supply) Long-term flow (Qlp) RVC reference value for conservation (USS/ha.year) VWaterES=VRC F(WD/Qlp) WD <=0, assumes minimal value (VWaterES = VRC) WD 0, leads to higher values (VWaterES> VRC) $ Monetary incentive for water related ecosystem services (WaterES) Funder Provides pport ZERO HUNGER SSS STAKEHOLDERS 3 GOOD HEALTH AND WELL-BEING DECENT WORK AND ECONOMIC GROWT AND INFRASTRUCTURE TOPICS PARTNERSHIPS RESOURCES QUALITY EDUCATION GENDER EQUALITY 10 REDUCED INEQUALITIES SUSTAINABLE CITIES AND COMMUNITIES 田田 14 PEACE, JUSTICE PARTNERSHIPS VLARU AND STRONG FOR THE GOALS INSTITUTIONS Taffarello et al (2020), Ecosystem Service Valuation Method in Partially-Monitored Subtropical Watersheds, Science of the T#6157 Train your brain... São Carlos, SP (Nov. 23th 2015; Drainage area= 77km2; Flood duration movie: 2h)#7SUSTAINABLE DEVELOPMENT GOALS The Brazilian Socio-Hydrology Gap: WWQ warnings are urgently needed at national and states' scales under institutional protocols* (ANA/CEMADEN/CENAD/CPRM+States, Brazilian Law of Civil Protection #12.208/2012). More than 90% of critical WWQ prone areas (with people) has runoff time of concentration below 2 hours!!!. Pictures below show flood resilience in Brazilian States. Source: WADILab 100 Risks for flash floods, inundations and/or 90 landslides issued by official alerts: C Cemaden Centro Nacional de Monitoramento Alerts de Desastres Naturais 1400 KNOWLEDGE PLATFORM HOME SDGS HLPF STATES SIDS ABOUT 1 NO POVERTY SUSTAINABL DEVELOPMENT GOALS CLEAN WATER AFFORDABLE AND CLEAN ENERGY AND SANITATION RESPONSIBLE CONSUMPTION AND PRODUCTION QO 13 CLIMATE ACTION UN SYSTEM STAKEHOLDERS TOPICS PARTNERSHIPS ZERO HUNGER GOOD HEALTH AND WELL-BEING QUALITY EDUCATION SSS 5 GENDER EQUALITY RESOURCES DECENT WORK ANL ECONOMIC GROWTH INDUSTRY, INNOVATION AND INFRASTRUCTUR REDUCED 10 INEQUALITIES SUSTAINABLE CITIES AND COMMUNITIES LIFE 14 BELOW WATER 15 LIFE ON LAND PEACE, JUSTICE AND STRONG INSTITUTIONS PARTNERSHIPS 17 FOR THE GOALS □ de'inundação' (risco'hidrológico, 'Atotal=2315km2)' O de'mov.massa' (risco'geológico, 'Atotal=1160km2)' Northern Region North East Region West Central Region South East Region % of total alerts issued in the year 80 00 % of total alerts to NE Brazil % of total alerts to SE Brazil 70 60 00 50 % of total alerts to other BRregions Ototal of alerts issued 40 30 80 20 20 10 0 2014 HAZARD 2015 States of NE Brazil EXPOSURE 'PI( CH RN PB VULNERABILITY HAZARD 1200 1000 800 600 400 0 2016* EXPOSURE Number of alerts issued Superfície de Áreas de Risco por Município (m2) 1,E+10' 1,E+09' 1,E+08Median of Brazilian Municipality population 1,E+07' 1,E+06' 1,E+05' 1,E+04' 1,E+03' Small Town, Medium-size Municipality, Fi.e. Lajedinho-BA i.e. Lapão-BA 02' 1000' 10000' 100000' > Southern Region Median size of land-slide risk- prone area at Municipality scale Median size of flood risk-prone area at Municipality scale Metropolitan Region, i.e. Salvador-BA 20 Illustration Sample: 1868 official flood alerts in 2014- 2016* for NE and SE Brazil; 2367 officially mapped flood. prone areas in NE + SE Brazil; 50.1 million people living in NE+SE municipalities; 1275 own rainfall stations 1000000' 10000000' População do Município (N=5565) States of SE Brazil EXPOSURE( TITT P AL SH BAC HAZARD VULNERABILITY MG RU SP( VULNERABILITY#8WWQA can profit from pioneering science and policy actions considering climate services, willingness-to-pay/accept mechanisms and financial insurance for the WEF+B nexus (Wastewater, Ecosystem, Food + Biodiversity) in subtropical catchments. ELSEVIER Climate Services 8 (2017) 1-16 Contents lists available at ScienceDirect Climate Services journal homepage: www.elsevier.com/locate/cliser Hydrological services in the Atlantic Forest, Brazil: An ecosystem-based adaptation using ecohydrological monitoring Denise Taffarello*, Maria do Carmo Calijuria, Ricardo A. Gorne Vianib, José A. Marengo, Eduardo Mario Mendiondoa Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-615 Manuscript under review for journal Hydrol. Earth Syst. Sci. Discussion started: 20 November 2017 Author(s) 2017. CC BY 4.0 License. Hydrology and Earth System Sciences Discussions CC 0 BY Open Access climate SERVICES Check for updates EGU ELSEVIER Ecological Economics 140 (2017) 66-78 Contents lists available at ScienceDirect Ecological Economics journal homepage: www.elsevier.com/locate/ecolecon SUSTAINABLE DEVELOPMENT GOALS KNOWLEDGE PLATFORM HOME SDGS HLPF STATES SIDS UN SYSTEM STAKEHOLDERS TOPICS PARTNERSHIPS ABOUT 1 NO POVERTY SUSTAINABL DEVELOPMEN GOALS ZERO HUNGER SSS AND WELL-BEING W QUALITY EDUCATION GOOD HEALTH 5 RESOURCES GENDER EQUALITY CLEAN WATER AND SANITATION AFFORDABLE AND CLEAN ENERGY DECENT WORK ANL ECONOMIC GROWTH INDUSTRY, INNOVATION AND INFRASTRUCTUR REDUCED 10 INEQUALITIES SUSTAINABLE CITIES AND COMMUNITIES RESPONSIBLE CONSUMPTION AND PRODUCTION Q CLIMATE ACTION 14 LIFE BELOW WATER LIFE ON LAND 16 PEACE, JUSTICE AND STRONG INSTITUTIONS PARTNERSHIPS 17 FOR THE GOALS ECOLOGICAL ECONOMICS Economic indicators of hydrologic drought insurance under water demand and climate change scenarios in a Brazilian context Guilherme Samprogna Mohor *, Eduardo Mario Mendiondo Hydrol. Earth Syst. Sci., 22, 4699-4723, 2018 https://doi.org/10.5194/hess-22-4699-2018 Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. CC CrossMark Hydrology and Earth System EG Sciences 1 Economic impacts of drought risks for water utilities through 2 Severity-Duration-Frequency framework under climate change 3 scenarios 4 Diego A. Guzmám¹-2, Guilherme S. Mohor¹, Denise Taffarello' and Eduardo M. Mendiondo¹ Modeling freshwater quality scenarios with ecosystem-based | adaptation in the headwaters of the Cantareira system, Brazil Denise Taffarello, Raghavan Srinivasan², Guilherme Samprogna Mohor13, João Luis Bittencourt Guimarães, Maria do Carmo Calijuri¹, and Eduardo Mario Mendiondo¹ 80#916.0°S With WTA concept, we addressed insurance premiums to cover users' losses as mitigation mechanisms on climate change** and aging infrastructure, extending works to strategic, but vulnerable river basins strongly dependant on water footprints for hydropower, food production and water supply in Southeast Brazil São Carlos - São Paulo, Bra 70000 Rio Claro São Paulo, Brazil o Campinas - São Paulo, Brazil o 60000 Impacts standard deviation "o" (US$): Eta-MROC 9661x10 Eta-HadGEM 8020x10 Impacts standard deviation "o" (US$): Eta-MROC 12483x10 Eta-HadGEM 7790x105 São Paulo. Santos - São Paulo, Brazil 50000 Hydrological Processes RESEARCH ARTICLE Season-based rainfall-runoff modelling using the probability- distributed model (PDM) for large basins in southeastern Brazil Rong Zhang, Luz Adriana Cuartas, Luiz Valerio de Castro Carvalho, Karinne Reis Deusdará Leal, Eduardo Mário Mendiondo, Narumi Abe, Stephen Birkinshaw, Guilherme Samprogna Mohor, Marcelo Enrique Seluchi, Carlos Afonso Nobre First published: 20 May 2018 | https://doi.org/10.1002/hyp.13154 48.0°W 18.0°S- Emborcação 46.0°W Três Marias 20.0°S 22.0°S- 48.0°W 47.0°W Cantareira 46.0°W 46.5°W Furnas 44.0°W 42.0°W BA 16.0°S Impacts 10°US$ 40000 30000 20000 10000 a. 0 000 Cantareira Impacts standard deviation "o" (US$): Eta-MROC 16552x106 Eta-HadGEM 11950x10 Source: Guzmán et al (2017) Eta-MIROCS 2007-2040 Eta-HadGEM 2007-2040 Eta-MIROCS 2041-2070 Eta-HadGEM 2041-2070 Eta-MIROCS 2071-2099 Eta-HadGEM 2071-2099 DOO Furnas AAA Emborcação ooo Três Marias (a) 1000 ooo Mascarenhas WET TST DRY YEAR (b) 100 80 18.0°S 800 60 MG Mascarenhas ES 20.0°S Legend • Climatological stations (INME Rain gauges (ANA) Qsim (mm/year) ŏg 40 600 400 Qerr (%) 20 0 -20 -40 200 -60 22.0°S -80 Rain gauges (INMET) Rain gauges (CEMADEN) 0 -100 Rain gauges (DAEE) 200 400 600 800 1000 CT EB 100 100 km Hydroelectric stations (ONS) Qobs (mm/year) TM FN MC Basins Dams (DAEE) 44.0°W 42.0°W 46.0°W Principal rivers Reservoirs ** Projected economical impacts of climate change on water utility company revenue from a 2800-km2 supply system, in Southeast Brazil (Sao Paulo Metropolitan Region), show great range of possibilities for trading off and for developing adaptation strategies of Ecosystem-based Adaptation (EbA) with Payment for Ecosystem Services (PES) supporting WTA insurance. 9#10Scenarios with MTRH-SHS assess what aging water services could benefit of setting premiums as proxies of WTA. 0.6% 0.5% 0.4% 0.3% 0.2% Premium/GDP [%] 0.1% 0.0% 30 20 10 0 0.5 Water Yield [I's.km²] 0.40 0.50 0.60 0.70 Loss Ratio [S/S] 0.80 0.90 MHD 0.75 1 Seasonality 1.25 Seasonality = (mean Wet - mean Dry)/meanAnnual SWAT JAG3-972 JAG2-508 JAG1-277 CAC1-294 Optimized premiums and loss ratios under hydrologic scenarios driven by climate projections, under current (100%) water demand. Circles area are proportional do sub-basins' areas. c) a) 1.75 0.16% 1.40 0.12% 1.05 Scenario Final Premium Million USD Loss Ratio Solvency Coeff. 0.70 0.35 0.00 2 0.08% 0.04% 0.00% % of GDP SolvencyCoef = (OptPr - AvgLosses)/AvgLosses 0.6 0.4 0.2 188420 00 80 Sim LossRatio=Average Losses/Premium 90 95 100 105 110 120 Water Demand Scenario (%) 1976-2005 2007-2040 2041-2070 2071-2099 Fig. 6. a) Optimized premiums, b) solvency coefficient, and c) loss ratio for JAG3-972 outlet from SWAT (solid lines) and MHD (dashed lines) outputs. Source: Mohor & Mendiondo (2017), under courtesy permission of Wiley O 10#11Water Yield Uncertainty: Brazilian nested catchments* draining to water supply utilities under climate change scenarios between 2010-2099 show more dependence on outputs from different hydrological models (i.e. SWAT/TAMU and MHD/INPE) than on scales.... Land-use change during 1990 (scenario S1), 2010 (scenario S2) and 2035 (scenario S2 + EbA) in the Cantareira water system (Taffarello et al, 2018) 1990 SP 2010 SP 2035 444 SÃO JOSÉ DOS CAMPOS 5 10 20 30 05 10 20 30 SÃO JOSÉ DOS CAMPOS AGRICULTURE WATER PASTURE Piracicaba NATIVE VEGETATION | URBAN AREAS EUCALYPTUS Cantareira system LAND USE PCJ watersheds State boundaries DATUM: SIRGAS 2000 PROJECTION: UTM 235 SP SÃO JOSÉ DOS CAMPOS 5 10 20 30 Km Jaguar Water Yield Uncertainty... 0.80 0.90 Range of impacts... 0.0% 30 20 10 0 Water Yield [V/s.km²] 0.40 0.50 ...from scaling effect 0.1% models & setups ...from different Paulo LIMEIRA Piracicaba riv AMERICANA PIRACICABA Camanduca Jaguar river SUMARE CAMPINAS, Asbala INDAIATUBA Extrema I SAO JOSE Joanópolis DOS CAMPOS JUNDIAL Nazaré Paulista GUARULHOS OSASCO SÃO PAULO eté river Legend Municipalities Urban areas Cantareira system PCJ watersheds State boundaries Reservoirs DATUM: SIRGAS 2000 Projection: UTM Fuse 225 SCALE 1:1,000,000 • SÃO BERNARDO DO CAMPO Paraib Loss Ratio [S/S] EbA centers on how WTA premiums help trading off drought crises as kind of Payment for Ecosystem Services (PES) impacting 20 million people of the Brazilian biggest metropolitan area. SWAT JAG3-972 Premium/GDP [%] MHD JAG2-508 JAG1-277 CAC1-294 ● ...but resilient mechanisms (i.e. insurance) depict evidences of heavy influence of different spatial scales* (areas of: 294, 277, 508 and 972 km²)#1212 10 Demand Management Plan until year 2050. Total Saving Water until year 2050-17.6 m3/s. Water Withdrawal from Cantareira System in April 2015-15.6 m3/s Reducing Mean Consumption per Capita ("from Consumers") Reducing Water Leaks ("from Water Supply Company") 0.70 U$ 1.2 billion Para Região Metropolitana de São Paulo (RMSP): É possível poupar quase um Sistema Cantareira com Gestão de Demanda, através de Parcerias-Público Privadas (PPPs), com aprox. 1,5 % do PIB da Região Metropolitana de São Paulo (RMSP). Ao mesmo tempo, os investimentos em infraestrutura hídrica, hoje contabilizados de até R$ 1,5 bilhão para RMSP, Não incorporam elementos de saneamento como: - Novo tratamento da poluição difusa (+ R$ 2,3 bi), Infraestrutura resiliente a mudanças climáticas (+ R$ 4,5 bi) - - outros Seguros ambientais e transferência de riscos são necessários Incluindo bancos, EBTs, institutos, centros especializados, Empresas de saneamento básico (públicas-privadas) Nicho de oportunidade de investimento 2020-2035: + R$ 180 bi B 6 0 0.60 0.50 0.40 0.30 0.20 0.10 0.00 Ecosystem-Based Adaptation with PES ("Government Policy Part") Demand Management Plan until year 2050: compared to São Paulo Metropolitan Region GDP(%) U$ 0.6 billion US 0.14 billion Reducing Mean Consumption per Capita ["from Consumers") Reducing Water Leaks ("from Water Supply Company") Ecosystem-Based Adaptation with PES ["Government Policy Part")#13How to cope with COVID-19 post pandemic impacts? Public-Private Partnerships guided through science-driven methods and agreement AI areas Portuguese Language Processing End-User Explainable Machine Learning Knowledge- Based Machine Learning Model-based Machine Learning state-of-art NLP for credible AI for healthcare and/or Pt-BR oil&gas focus of the big bets DEVELOPMENT SUSTAINABLE GOALS KNOWLEDGE PLATFORM HOME SDGS HLPF STATES SIDS UN SYSTEM STAKEHOLDERS TOPICS - ABOUT 1 NO POVERTY 2 SUSTAINABLE DEVELOPMENT ZERO HUNGER SSS 3 GOOD HEALTH AND WELL-BEING 4 QUALITY EDUCATION GOALS 6 CLEAN WATER AND SANITATION 12 RESPONSIBLE CONSUMPTION AND PRODUCTION QO 7 AFFORDABLE AND CLEAN ENERGY 8 DECENT WORK AND ECONOMIC GROWTH 13 CLIMATE ACTION 14 LIFE BELOW WATER AI and Society in Developing Countries very-large scale prediction in agriculture and environment foundations for AI public policy in developing countries INDUSTRY, INNOVATION REDUCED 9 10 NEQUALITIES 15 LIFE ON LAND 16 PEACE, JUSTICE AND STRONG INSTITUTIONS PARTNERSHIPS 5 GENDER EQUALITY RESOURCES 11 SUSTAINABLE CITIES 17 PARTNERSHIPS FOR THE GOALS Laboratorios Associados Comite Cientifico (CC) Coordenação INCT MC Secretaria Executiva INCT MC Comite Gestor (CG) Economia e impactos em setores chave Comunicação, divulgação de conhecimento, Educação para sustentabilidade Segurança alimentar Segurança hídrica Segurança energética Saúde Impactos nos ecossistemas brasileiros em vista de mudanças de uso de solo e biodiversidade. Desastres Naturais, Áreas Urbanas, Infraestrutura física desenvolvimento urbano Analises Integradas das componentes e temas transversais, processos de tomada de decisões e politicas públicas (coordenação, CC, CG e Lab. Associados) Modelagem do sistema terrestre e produção de cenários futuros de clima para estudos de VIAR#14Thank you Eduardo Mario Mendiondo [email protected] [email protected] Skype: eduardo.mario.mendiondo The WADI Lab Water-Adaptive Design & Innovation Lab Sao Carlos School of Engineering University of Sao Paulo - Brazil www.eesc.usp.br/ppgshs The Wadilab water-adaptive design & innovation 60 VELOCIDADE AFERIDA POR RADAR 14