openwashdata/postfloodintervention

Post-intervention monitoring data for rural water points in the Mulanje district of Malawi, collected as part of the USAID Flood Response program during 2019-2020. # USAID Flood Response – Post Intervention Survey (Mulanje, 2019–2020) This dataset contains detailed post-intervention monitoring data for rural water points in the Mulanje district of Malawi, collected as part of the USAID Flood Response program during 2019 and 2020. Using the mWater mobile data collection platform, enumerators conducted on-site assessments of water point conditions following flood recovery efforts. The data captures a comprehensive range of water point characteristics, including physical condition through photographs, operational performance of pumps, and hydraulic measurements such as time and effort required to pump a standard volume of water. Additionally, water quality parameters were rigorously tested—covering chemical contaminants like arsenic, ammonia, fluoride, nitrate, free chlorine, and total dissolved solids, as well as physical indicators such as pH, temperature, and turbidity. Microbiological quality was assessed via E. coli concentrations, including counts per 100 milliliters, confidence intervals, and risk classifications, supported by photographic documentation of test results. These indicators provide critical insight into the safety and usability of water sources after flood-related disruptions. ### Use Cases This dataset serves multiple practical purposes for water management and public health: - **Evaluating the effectiveness** of flood recovery interventions on water infrastructure. - **Monitoring water quality trends** to identify ongoing or emerging contamination risks. - **Informing maintenance and rehabilitation priorities** based on pump performance and structural assessments. - **Supporting public health risk assessments** through microbial contamination data. - **Providing evidence for community-level decision making** and donor reporting. - **Guiding future emergency preparedness and response planning** for water systems in flood-prone areas. ### Potential Users The dataset is highly valuable to a …