Next Article in Journal
Why European Entrepreneurs in the Water and Waste Management Sector Are Willing to Go beyond Environmental Legislation
Previous Article in Journal
Improvements to Runoff Predictions from a Land Surface Model with a Lateral Flow Scheme Using Remote Sensing and In Situ Observations
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Water 2017, 9(2), 147; doi:10.3390/w9020147

Modeling Rainfall-Runoff Response to Land Use and Land Cover Change in Rwanda (1990–2016)

1,2,3,4,5
,
1,2,* , 2,3
,
1
,
2,3,4,5
,
2,3,4,5
,
2,3,4,5
and
2,3,4,5,6
1
College of Life Science, Shihezi University, Shihezi 832003, China
2
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
Faculty of Environmental Studies, University of Lay Adventists of Kigali, P.O. Box 6392 Kigali, Rwanda
5
Joint Research Center for Natural Resources and Environment in East Africa, P.O. Box 6392 Kigali, Rwanda
6
Ministry of Disaster Management and Refugee Affairs, P.O. Box 4386 Kigali, Rwanda
*
Author to whom correspondence should be addressed.
Academic Editor: Marco Franchini
Received: 29 December 2016 / Revised: 7 February 2017 / Accepted: 14 February 2017 / Published: 22 February 2017
View Full-Text   |   Download PDF [5222 KB, uploaded 22 February 2017]   |  

Abstract

Stormwater runoff poses serious environmental problems and public health issues in Rwanda, a tropical country that is increasingly suffering from severe floods, landslides, soil erosion and water pollution. Using the WetSpa Extension model, this study assessed the changes in rainfall runoff depth in Rwanda from 1990 to 2016 in response to precipitation and land use changes. Our results show that Rwanda has experienced a significant conversion of natural forest and grassland to cropland and built-up areas. During the period 1990–2016, 7090.02 km2 (64.5%) and 1715.26 km2 (32.1%) of forest and grassland covers were lost, respectively, while the cropland and built-up areas increased by 135.3% (8503.75 km2) and 304.3% (355.02 km2), respectively. According to our estimates, the land use change effect resulted in a national mean runoff depth increase of 2.33 mm/year (0.38%). Although precipitation change affected the inter-annual fluctuation of runoff, the long-term trend of runoff was dominated by land use change. The top five districts that experienced the annual runoff depth increase (all >3.8 mm/year) are Rubavu, Nyabihu, Ngororero, Gakenke, and Musanze. Their annual runoff depths increased at a rate of >3.8 mm/year during the past 27 years, due to severe deforestation (ranging from 62% to 85%) and cropland expansion (ranging from 123% to 293%). These areas require high priority in runoff control using terracing in croplands and rainwater harvesting systems such as dam/reservoirs, percolation tanks, storage tanks, etc. The wet season runoff was three times higher than the dry season runoff in Rwanda; appropriate rainwater management and reservation could provide valuable irrigation water for the dry season or drought years (late rainfall onsets or early rainfall cessations). It was estimated that a reservation of 30.5% (3.99 km3) of the runoff in the wet season could meet the cropland irrigation water gap during the dry season in 2016. View Full-Text
Keywords: disasters; land use; runoff depth; Rwanda; soil texture; WetSpa model disasters; land use; runoff depth; Rwanda; soil texture; WetSpa model
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Karamage, F.; Zhang, C.; Fang, X.; Liu, T.; Ndayisaba, F.; Nahayo, L.; Kayiranga, A.; Nsengiyumva, J.B. Modeling Rainfall-Runoff Response to Land Use and Land Cover Change in Rwanda (1990–2016). Water 2017, 9, 147.

Show more citation formats Show less citations formats

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

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top