Next Article in Journal
A Physics-Informed, Machine Learning Emulator of a 2D Surface Water Model: What Temporal Networks and Simulation-Based Inference Can Help Us Learn about Hydrologic Processes
Next Article in Special Issue
Optimal Alternative for Quantifying Reference Evapotranspiration in Northern Xinjiang
Previous Article in Journal
Hybrid Approach for Excess Stormwater Management: Combining Decentralized and Centralized Strategies for the Enhancement of Urban Flooding Resilience
Previous Article in Special Issue
Temporal and Spatial Changes of Runoff Regime in the Yellow River Basin from 1956 to 2017

Future Climate Change Impact on the Nyabugogo Catchment Water Balance in Rwanda

State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
University of Chinese Academy of Sciences, Beijing 100049, China
Faculty of Environmental Sciences, University of Lay Adventists of Kigali (UNILAK), Kigali P.O. Box 6392, Rwanda
Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China
Faculty of Engineering, University of Miyazaki, Miyazaki 889-2192, Japan
Author to whom correspondence should be addressed.
Academic Editor: Hongbo Ling
Water 2021, 13(24), 3636;
Received: 20 October 2021 / Revised: 13 December 2021 / Accepted: 13 December 2021 / Published: 17 December 2021
Droughts and floods are common in tropical regions, including Rwanda, and are likely to be aggravated by climate change. Consequently, assessing the effects of climate change on hydrological systems has become critical. The goal of this study is to analyze the impact of climate change on the water balance in the Nyabugogo catchment by downscaling 10 global climate models (GCMs) from CMIP6 using the inverse distance weighting (IDW) method. To apply climate change signals under the Shared Socioeconomic Pathways (SSPs) (low and high emission) scenarios, the Soil and Water Assessment Tool (SWAT) model was used. For the baseline scenario, the period 1950–2014 was employed, whereas the periods 2020–2050 and 2050–2100 were used for future scenario analysis. The streamflow was projected to decrease by 7.2 and 3.49% under SSP126 in the 2020–2050 and 2050–2100 periods, respectively; under SSP585, it showed a 3.26% increase in 2020–2050 and a 4.53% decrease in 2050–2100. The average annual surface runoff was projected to decrease by 11.66 (4.40)% under SSP126 in the 2020–2050 (2050–2100) period, while an increase of 3.25% in 2020–2050 and a decline of 5.42% in 2050–2100 were expected under SSP585. Climate change is expected to have an impact on the components of the hydrological cycle (such as streamflow and surface runoff). This situation may, therefore, lead to an increase in water stress, calling for the integrated management of available water resources in order to match the increasing water demand in the study area. This study’s findings could be useful for the establishment of adaptation plans to climate change, managing water resources, and water engineering. View Full-Text
Keywords: climate change; CMIP6; Nyabugogo catchment; Rwanda; SWAT model climate change; CMIP6; Nyabugogo catchment; Rwanda; SWAT model
Show Figures

Figure 1

MDPI and ACS Style

Umugwaneza, A.; Chen, X.; Liu, T.; Li, Z.; Uwamahoro, S.; Mind’je, R.; Dufatanye Umwali, E.; Ingabire, R.; Uwineza, A. Future Climate Change Impact on the Nyabugogo Catchment Water Balance in Rwanda. Water 2021, 13, 3636.

AMA Style

Umugwaneza A, Chen X, Liu T, Li Z, Uwamahoro S, Mind’je R, Dufatanye Umwali E, Ingabire R, Uwineza A. Future Climate Change Impact on the Nyabugogo Catchment Water Balance in Rwanda. Water. 2021; 13(24):3636.

Chicago/Turabian Style

Umugwaneza, Adeline, Xi Chen, Tie Liu, Zhengyang Li, Solange Uwamahoro, Richard Mind’je, Edovia Dufatanye Umwali, Romaine Ingabire, and Aline Uwineza. 2021. "Future Climate Change Impact on the Nyabugogo Catchment Water Balance in Rwanda" Water 13, no. 24: 3636.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop