Urban flooding is becoming a significant urban epidemic in many nations throughout the world as a result of land use and climate change, and regular heavy rains. In this study, we choose to investigate the viability of Sponge City concepts for flood mitigation based on low impact development (LID) strategies in a 26.66 km2 area situated in Guinea's capital city of Conakry. The Storm Water Management Model (SWMM5) was used to simulate the impact of LID measures on the lowering of runoff peaks and node flooding. Simulation results before and after LID facilities are compared in order to understand how LID measures improve flood mitigation. The study showed that LID techniques effectively reduce runoff, which helps mitigate the effects of flooding. The study demonstrated that all LID, whether used singly or in combination, can lower runoff and flooding. However, when it comes to reducing runoff and flooding, LID-combinations perform better than individual LID implementations. For the five return periods (one, five, 20, 50, and 100 years), the LID-combination reduced runoff by 67.83, 65.02, 50.44, 40.18, and 35.88%, and reduced flooding by 85.32, 72.65, 54.05, 46.17, and 42.80%, respectively. Additionally, the reduction rate of overflow junctions is 100, 100, 80, 67, and 70%, respectively.

The water, sanitation, and hygiene (WASH) coverage and practices in and out of primary schools are crucial to the well-being of children. Using a questionnaire analysis method, this study focuses on the WASH coverage and practices of children from five public primary schools in the city of N'Zerekore, the second-largest city in Guinea. Our results reveal that the WASH coverage and practices in all five schools are inadequate. Our data indicated that 100% (n=1,048) of pupils don't wash their hands with soap after defecation in school, and over 87.9% (n=922) of students do not wash their hands before eating. The poor WASH coverage, inadequate hygiene practices, and other activities and/or causes result in a higher incidence of diseases among children, such as malaria, typhoid, and diarrhea. Some effective interventions, including the provision of clean water, sanitation and hygiene infrastructure, and widespread and effective health education, should be implemented to address these health issues among young African students.

Multisource meteorological precipitation products are an important way to make up for a lack of observation sites or a lack of precipitation data in areas with a complex topography. They have important value for local industrial, agricultural, and ecological water use calculations, as well as for water resource evaluation and management. The Yunnan-Kweichow Plateau is located in southwest China and has a relatively backward economy and few meteorological stations. At the same time, the terrain is dominated by mountain valleys, precipitation is greatly affected by the terrain, and meteorological data are lacking, making the calculation of local water resources difficult. In this study, the applicability of the 3-hourly merged high-quality/IR estimates (3B42) of the Tropical Rainfall Measuring Mission (TRMM), China Meteorological Forcing Dataset (CMFD), and China Meteorological Assimilation Driving Datasets (CMADS) in the Yunnan-Kweichow Plateau was analyzed using multiple evaluation indicators of different temporal scales and precipitation intensity levels as well as the spatial distribution of the indicators based on measured daily precipitation data from 59 national meteorological basic stations in the study area in 2008–2018. The results showed that (1) the three products had performed well and could be applied to the calculation of local water resources with CMFD performing the best; (2) the performance of precipitation products was slightly worse on the daily scale, and the overall performance of the yearly, quarterly, and monthly scales was better; (3) good results were achieved in most regions, but there were also some regions with prominent overestimation and underestimation; (4) the three precipitation products had the highest probabilities of detection and the lowest false alarm rates for no rain and light rain, and the probability of detection gradually decreased with an increase in the precipitation intensity; and (5) the mean absolute error of precipitation products in rainy months is large, so the accuracy of products in the calculation of heavy rain and flood will be limited.