{"query_echo":{"q":"","filters":{"climate_tags":["flooding"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'flooding' for facet 'climate_tags' is not in the controlled vocabulary."}]},"total":{"value":3,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?climate_tags=flooding","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"gga-000137","url":"https://climateinsightsdirectory.org/document/gga-000137","title":"Lilongwe CITY PROFILING REPORT 2025","publisher":{"name":"Good Governance Africa","organization":"good-governance-africa"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://digitalmallblobstorage.blob.core.windows.net/wp-content/2026/02/Lilongwe-African-Cities-Report-2025.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Lilongwe City Profiling Report 2025 provides a comprehensive analysis of the capital city of Malawi, detailing its urban geography, governance, socio-economic status, and service delivery. The report highlights a city facing significant challenges including high poverty levels, limited infrastructure, and a governance structure where the local council has minimal de facto control over essential services like health and education, which remain managed by the central government.","ai_generated":true,"unit":"gga-000137#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"Lilongwe is characterized by extreme poverty and low human development compared to other SADC cities. It is the poorest of the ten cities in the GGA sample according to the International Wealth Index (IWI) with a score of 28.7, and it has the lowest sub-national Human Development Index (SHDI) score of 0.52.","ai_generated":true,"unit":"gga-000137#insight-1","date_modified":"2026-08-17"},{"text":"There is a significant gap between the legal (de jure) responsibilities of the Lilongwe City Council and its actual (de facto) operations. While legally responsible for water, education, and healthcare, these are actually managed by the central government, parastatals, and non-state actors.","ai_generated":true,"unit":"gga-000137#insight-2","date_modified":"2026-08-17"},{"text":"Water and sanitation services are managed by the state-owned Lilongwe Water Board (LWB). While water access improved to 92% in 2025, the utility is a middle- to low-performing entity with non-revenue water at 42% in 2020/21. Sanitation is poor, with only 15% of households connected to a sewered system, contributing to severe cholera outbreaks.","ai_generated":true,"unit":"gga-000137#insight-3","date_modified":"2026-08-17"},{"text":"Solid waste management is severely under-resourced, with the Lilongwe City Council (LCC) collecting less than one-third of the estimated 500 metric tons of waste generated daily. Approximately 70% of waste remains unmanaged and is disposed of in undesignated places.","ai_generated":true,"unit":"gga-000137#insight-4","date_modified":"2026-08-17"},{"text":"Energy access is limited, with an estimated 55% of residential properties having access to electricity (52% grid and 3% solar) in 2025. Charcoal remains the dominant cooking fuel for 74.1% of households, driving illegal production and deforestation in the Dzalanyama Forest reserve.","ai_generated":true,"unit":"gga-000137#insight-5","date_modified":"2026-08-17"},{"text":"Lilongwe has the lowest GDP per capita among the ten SADC cities sampled, at 1,100 USD. The city's economy is dominated by the tertiary sector (78%), while primary activity remains high at 13% due to agriculture.","ai_generated":true,"unit":"gga-000137#insight-6","date_modified":"2026-08-17"},{"text":"The city's digital infrastructure is poorly developed, ranking 138 out of 194 cities globally in the 2024 Local Online Service Index (LOSI) with a score of 0.18. Only 15% of the population had internet access in 2020, and only 6% have access to a computer.","ai_generated":true,"unit":"gga-000137#insight-7","date_modified":"2026-08-17"},{"text":"The Lilongwe City Council's financial capacity is very low, with the lowest expenditure per capita in the GGA sample. A disproportionate 51% of its 2024 budgeted expenditure is allocated to governance and administration, leaving minimal funds for roads, health, and education.","ai_generated":true,"unit":"gga-000137#insight-8","date_modified":"2026-08-17"}],"climate_tags":["climate change","flooding","deforestation","carbon emissions","biofuels"],"geography_discussed":["Dzalanyama Forest Reserve"],"frame_perspective":[],"analysis_type":["city profiling","socio-economic analysis","governance review","infrastructure assessment"]},{"id":"cdkn-000176","url":"https://climateinsightsdirectory.org/document/cdkn-000176","title":"Inside Story : Building resilience to climate change locally - The case of Valenzuela City, Metro Manila","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"case study","language":"en","date_published":"2015-03-18","source_url":"https://cdkn.org/resource/inside-story-building-resilience-climate-change-valenzuela-manila","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This case study examines climate resilience efforts in Valenzuela City, Metro Manila, focusing on its vulnerability to flooding and its participation in the Partners for Resilience (PfR) programme to integrate climate change adaptation and ecosystem management into disaster risk reduction.","ai_generated":true,"unit":"cdkn-000176#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"Valenzuela City is highly vulnerable to flooding due to its low-lying geography and its location at the confluence of the Tullahan, Polo, and Meycauayan rivers. Flooding occurs during high tides and regularly as flash floods during the rainy season, with stagnant water sometimes remaining for up to 4 weeks because of improper solid waste disposal, insufficient drainage, and excessive water volume. These events lead to health risks including leptospirosis, dengue, coughs, and colds, and cause economic losses for office workers and small businesses such as fish-food processors, furniture makers, street vendors, and small-scale autorepair shops.","ai_generated":true,"unit":"cdkn-000176#insight-1","date_modified":"2026-08-17"},{"text":"In 2011, Valenzuela City became one of five project areas in the Philippines under the Partners for Resilience (PfR) programme, a collaboration between five Netherlands-based organisations and 30 civil society partners in the global South. The programme seeks to build resilient communities by combining ecosystem management and restoration, climate change adaptation, and disaster risk reduction.","ai_generated":true,"unit":"cdkn-000176#insight-2","date_modified":"2026-08-17"},{"text":"The case study identifies several factors for building urban resilience: the use of partnerships and networking to sustain programmes and innovation; the integration of climate science and information across different timescales; and the use of local ordinances and national laws. It notes that while climate- and ecosystem-smart disaster risk reduction is feasible at the city level, it requires resources, time, and commitment from community members and local chief executives. Furthermore, local governments are advised to plan holistic interventions rather than treating disaster risk reduction, ecosystem management, and climate change adaptation as isolated concepts.","ai_generated":true,"unit":"cdkn-000176#insight-3","date_modified":"2026-08-17"}],"climate_tags":["climate change adaptation","disaster risk reduction","urban resilience","flooding","ecosystem management"],"geography_discussed":["Metro Manila","Philippines"],"frame_perspective":[],"analysis_type":["case study"]},{"id":"cer-000462","url":"https://climateinsightsdirectory.org/document/cer-000462","title":"KM_C554e-20190117115611","publisher":{"name":"Centre for Environmental Rights","organization":"centre-for-environmental-rights"},"document_type":"report","language":"en","date_published":null,"source_url":"https://cer.org.za/wp-content/uploads/2022/06/Annexure-F-Climate-Change-Risk-and-Vulnerability-Asessment-of-Water-Resources-in-th....pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report provides a risk and vulnerability assessment of water resources in the Limpopo Water Management Area (WMA) of South Africa. It analyzes current water resource stresses, observed and projected climate trends, and the resulting vulnerabilities to ensure sustainable water management.","ai_generated":true,"unit":"cer-000462#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The Limpopo WMA is characterized by water scarcity where evaporation rates significantly exceed precipitation, a condition that is expected to be magnified by climate change.","ai_generated":true,"unit":"cer-000462#insight-1","date_modified":"2026-08-17"},{"text":"Observed climate trends from 1921 to 2015 show a significant decrease in total annual rainfall in wet days and seasonal rainfall, particularly during March, April, and May, across parts of the WMA.","ai_generated":true,"unit":"cer-000462#insight-2","date_modified":"2026-08-17"},{"text":"Average temperatures in the region have shown a significant increasing trend from 1931 to 2015, with some catchments showing an overall increase of 0.12°C per decade between 1950 and 1999.","ai_generated":true,"unit":"cer-000462#insight-3","date_modified":"2026-08-17"},{"text":"Future climate projections for the 2050s suggest temperatures will likely increase by 2-3°C relative to the 1961-2000 baseline, leading to more heatwaves and increased drought risk due to longer dry spells between March and August.","ai_generated":true,"unit":"cer-000462#insight-4","date_modified":"2026-08-17"},{"text":"Water quality in the WMA is already severely challenged by eutrophication, algal blooms, and pollution from wastewater and mining, which is expected to worsen with higher temperatures and reduced dilution from lower rainfall.","ai_generated":true,"unit":"cer-000462#insight-5","date_modified":"2026-08-17"},{"text":"Groundwater resources in the Mogalakwena and Sand catchments are extensively utilized and possibly over-exploited, primarily by the irrigation sector.","ai_generated":true,"unit":"cer-000462#insight-6","date_modified":"2026-08-17"},{"text":"Invasive Alien Plants (IAPs) and bush encroachment act as stream flow reducers; the Sand catchment has the highest IAP density with a condensed area of 134 km².","ai_generated":true,"unit":"cer-000462#insight-7","date_modified":"2026-08-17"},{"text":"The region is prone to a cycle where droughts leave soil eroded, and subsequent flash floods wash this soil into water resources, causing severe siltation and sedimentation that reduces storage capacity.","ai_generated":true,"unit":"cer-000462#insight-8","date_modified":"2026-08-17"},{"text":"The Limpopo WMA is highly dependent on inter-catchment transfers, including water from the Vaal WMA for coal power stations in Lephalale and transfers from the Olifants River catchment to support urban and mining needs in Polokwane and Mokopane.","ai_generated":true,"unit":"cer-000462#insight-9","date_modified":"2026-08-17"},{"text":"Vulnerability assessments indicate that water quality and quantity are highly vulnerable to climate change, with risks amplified by human activities such as overgrazing, conventional tillage, and urban expansion.","ai_generated":true,"unit":"cer-000462#insight-10","date_modified":"2026-08-17"}],"climate_tags":["climate change","water resources","vulnerability assessment","drought","flooding","evapotranspiration","water quality"],"geography_discussed":["Botswana","Zimbabwe","Mozambique","Limpopo","North West","Gauteng"],"frame_perspective":[],"analysis_type":["Risk Assessment","Vulnerability Assessment","Trend Analysis","Climate Projection"]}]}