Economic activities in the humid intertropical zone are highly dependent on climate. The aim of this study is to identify the new sowing calendar period, then assess and map climate vulnerability, while tracing the potential impact of people’s ability to adapt on the quality of water resources. Climate vulnerability is assessed by means of an exposure analysis based on 45 years of climate data (1976 to 2020) for the calculation of climate trends and standard anomalies, sensitivity, potential impact assessed following field surveys, and adaptive capacity. A multi-criterion analysis was used to map the level of vulnerability. The results show that climate change is gradual and has created a shift in the agricultural calendar, with the sowing period due to the return of the rains moving from early March to the second third of the same month. Agropastoral activities, water resources and people’s health are all affected. Adaptation measures result in the production of waste that causes pollution. Pollutants may be physical, chemical, or microbiological in nature. Socio-economic development necessarily requires adaptations specific to the African context.

 

agriculture; climate change; water management; human health; intertropical zone

1. Mba FF, Temgoua E, Kanouo BMD, et al. Assessment of the sensitivity of water resources in the intertropical zone: A bibliographical study with perspectives. Journal of Water Supply. 2023; 23(5): 19. doi: 10.2166/ws.2023.099

2. ADBG. Central African Economic Outlook. ADBG; 2018. p. 42.

3. AGW-Net. Integrating groundwater management for transboundary basin organisations in Africa. AGW-Net; 2015. p. 20.

4. Dettinger M, Udall B, Geory A. Western water and climate change. Ecological Applications. 2015; 25(8): 2069–2093.

5. Mubeen M, Ahmad A, Hammad HM, et al. Evaluating the climate change impact on water use efficiently of cotton-wheat in semi-arid conditions using DSSAT model. Journal of Water and Climate Change. 2020; 1661–1675.

6. You X, Li Z, Yi Y. Carbon constraints, industrial structure upgrading, and green total factor productivity: An empirical study based on the Yangtze River Economic Belt. Journal of Water and Climate Change. 2023; 14(9): 1–17. doi: 10.2166/wcc.2023.051

7. GIZ. Reference guide on vulnerability, concept and guidelines for conducting standardized vulnerability analyses (French). GIZ; 2017. p. 180.

8. Haward G, Charles K, Pond K, et al. Securing 2020 vision for 2030: Climate change and ensuring resilience in water and sanitation services. Journal of Water and Climate Change. 2010; 15.

9. UN-HABITAT. Time to think urban. UN-HABITAT; 2013. p. 32.

10. Jelani J, Mahdzir MMFM, Sabri WMSWM, et al. Determination of groundwater potential zone using geospatial and geophysical method for UPNM campus, Kuala Lumpur, Malaysia. Journal of Water Resources Management. 2024; 2(1): 1–7.

11. Nepal S, Shrestha AB. Impact of climate change on the hydrological regime of the indus, Ganges and Brahmaputra river basins: A review of literature. International Journal of Water Resources Development. 2015; 31(2): 201–218. doi: 10.1080/07900627.2015.1030494

12. Kushwaha P, Pandey VK, Kumar P, et al. Projection of mean and extreme precipitation and air temperature over India: a CMIP6 analysis. Journal of Water and Climate Change. 2024; 6(15): 2562–2581. doi: 10.2166/wcc.2024.523

13. Sonali P, Nagesh Kumar D. Review of recent advances in climate change detection and attribution studies: A large scale hydroclimatological perspective. Journal of Water and Climate Change. 2020; 1–29.

14. Güven A, Vedat M, Pala A. Modeling and future projection of streamflow and sediment yield in a sub-basin of Euphrates river under the effect of climate change. Journal of Water and Climate Change. 2024; 6(15): 2628–2647. doi: 10.2166/wcc.2024.612

15. Goodarzi MR, Abedi MJ, Niazkar M. Effects of climate change on streamflow in the Dez basin of Iran using the IHACRES model based on the CMIP6 model. Journal of Water and Climate Change. 2024; 6(15): 2595–2611. doi: 10.2166/wcc.2024.571

16. Enayati B, Bozorg-Haddad O, Bazrafshan J, et al. Bias correction capabilities of quantile mapping methods for rainfall and temperature variables. Journal of Water and Climate Change. 2021; 401–419.

17. Keskinen M, Chinvanno S, Kummu M, et al. Climate change and water resources in the lower Mekong river basin: Putting adaptation into the context. Journal of Water and Climate Change. 2010; 103–117.

18. WHO, UNICEF. Joint monitoring program for water supply and sanitation (JMP): progress on sanitation and drinking water. 2015. P. 15. Available online: https://www.unwater.org/publications/who/unicef-joint-monitoring-program-water-supply-and-sanitation-jmp-2015-update (accessed on 10 October 2024).

19. Mba FF, Temgoua E, Kengne PD, et al. Vulnerability of groundwater to pollution in the town of Dschang, West Cameroon (French). Int. J. Biol. Chem. Sci. 2019; 13(5): 39–56.

20. Amougou JA, Forghab Mbomba P, Batha RAS, et al. Rainfall and temperature in the West Cameroon region: Analysis of trends from 1950 to 2015 and projections to 2090 (French). ONACC; 2019. p. 148.

21. Temgoua E, Meli MV, Mekui M, et al. The role of decentralized local authorities in sustaining water and sanitation services in non-concession areas: The case of the Commune of Dschang. Int. J. Biol. Chem. Sci. 2019; 13(5): 122–132.

22. Saaty TL. The analytic hierarchy process: Planning priority setting, Resource allocation. MC Graw-Hill; 1980. p. 19.

23. Saaty TL. A scaling method for priorities in hierarchical structure. Journal of Mathematical Psychology. 1987; 15: 234–281.

24. Kengni L, Tekoudjou H, Tematio P, et al. Rainfall variability along the Southern flank of the Bambouto mountain (West-Cameroon). Journal of the Cameroon Academy of Sciences. 2008; 8(1): 45–52.

25. Kengni L, Simo PJ, Temgoua E, et al. Hydrogeochemical processes in the Southern slope of the Bambouto-Mountain (West-Cameroon). International Journal of Engineering Science and Technology. 2013; 5(4): 896–908.

26. Tazen F, Fonteh FM, Karambiri H. Integrated water resource management in the catchment area of the Dschang municipal lake: Knowledge and use. J. Biol. Chem. Sci. 2013; 7(2): 840–851.

27. McSweeney C, New M, Lizanco G. UNDP Climate Change Country Profiles. UNDP; 2008. p. 65.

28. CSC. 2013. Climate change scenarios for the Congo Basin. Climate Service Center; 2013. p. 165.

29. Mara F. Development and analysis of vulnerability criteria for Sahelian populations faced with climate vulnerability, the case of water resources in the Sirba valley in Burkina Faso (French) [PhD thesis]. Université du Québec à Montréal; 2010.

30. UNFCCC. Framework Convention on Climate Change: Project on activities carried out to implement the capacity-building framework in accordance with decision 2/CP.7. United Nations; 2006. p. 16.

31. Bosson F, Yira Y, Dayamba DS, et al. Mainstreaming climate change into water policies: A case study from Burkina Faso. Journal of Water and Climate Change. 2021; 1487–1500.

32. Västilä K, Kummu M, Sangmanee C, et al. Modelling climate change impacts on the flood pilse in the lower Mekong floodplains. Journal of Water and Climate Change. 2010; 67–86.

33. IPCC. Climate Change 2013: the physical science basis; Summary for policymakers, technical summary and frequently asked questions. United Nations; 2013. p. 222.

34. IPCC. Climate Change 2007: Synthesis Report. Intergovernmental Panel on Climate Change; 2007. p. 214.

35. Earman S, Dettinger M. Potential impact of climate change on groundwater resources: A global review. Journal of Water and Climate Change. 2021; 213–229.

36. Temgoua E, Santiago H, Pfeifer HR. Bacteriological pollution of groundwater and soil by nearby latrines in poor urban areas: the case of the city of Dschang. International Journal of Advanced Studies and Research in Africa. 2010; 228-242.

37. Santsa NCV, Ndjouenkeu R, Ngassoum MB. Water quality in Dschang and impact on consumer health. Afrique Science. 2018; 14(3): 96–107.