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Lake Sibayi variations in response to climate variability in northern KwaZulu-Natal, South Africa

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Abstract

The optimal management of natural resources like lakes requires understanding the relationship with other environmental elements. Remote sensing techniques using multi-temporal and multi-sensor images for change detection purposes are important in this regard. This study used a combination of approaches to detect changes in the lake surface area of Lake Sibayi in relation to changes in past climates. Delineation of the study area is achieved using WR2012 endoreic maps and Landsat satellite images from 1992 to 2016. Using data from eight meteorological stations, past climate of the lake catchment was investigated. Thereafter, a multivariate correlation analysis is conducted to examine the relationship between the changes in the lake surface area and the changes in climatic (precipitation, temperature) variables and water levels. Results suggest that the lake surface area has decreased by 20% since 1992. There are significant changes in temperatures, while the annual rainfall totals declined significantly. The correlation between precipitation in the catchment and annual water level changes is 0.88. Statistically, significant increases in the water level and precipitation were experienced in 1993 and 2001. SPI analysis reveals that the study area is getting drier and the probability of recurrence of moderate dryness is 10%. The rate at which the lake is shrinking is not solely climatic related, as anthropogenic aspects are also responsible. To prevent further shrinkage of Lake Sibayi, it will be necessary to develop aggressive restoration policies and action plans aimed at maintaining inflows in the face of compounding climate change and water demand. Recommendations of the nature of further studies that can increase our understanding are included.

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References

  • Adriana R, O’Reilly CM, Zagarese H, Baines SB, Hessen DO, Keller W, Livingstone DM, Sommaruga R, Straile D, Van Donk E, Weyhenmeyer GA, Winder M (2009) Lakes as sentinels of climate change. Limnol Oceanogr 54(6):2283–2297

  • AghaKouchak A, Norouzi H, Madani K, Mirchi A, Azarderakhsh M, Nazemi A, Nasrollahi N, Farahmand A, Mehran A, Hasanzadeh E (2015) Aral Sea syndrome desiccates Lake Urmia: call for action. J Great Lakes Res 41(1):307–311

    Article  Google Scholar 

  • Agnew CT (2000) Using the SPI to identify drought. Drought Network News (1994-2001) 12(1):6–12

  • Alborzi A, Mirchi A, Moftakhari H, Mallakpour I, Alian S, Nazemi A, Hassanzadeh E, Mazdiyasni O, Ashraf S, Madani K, Norouzi H, Azarderakhsh M, Mehran A, Sadegh M, Castelletti A, AghaKouchak A (2018) Climate-informed environmental inflows to revive a drying lake facing meteorological and anthropogenic droughts. Envoriron Res Lett 13:084010

    Article  Google Scholar 

  • Arkian F, Nicholson SE, Ziaie (2016) Meteorological factors affecting the sudden decline in Lake Urmia’s water level. Theor Appl Climatol. https://doi.org/10.1007/s00704-016-1992-6

  • Bagli S, Soille P (2004) Automatic delineation of shoreline and lake boundaries from Landsat satellite images. Proceedings of initial ECO-IMAGINE GI and GIS for integrated coastal management, Seville 13th–15th May 2004

  • Bailey AK, Pitman WV (2016) Water Resources of South Africa, 2012 Study (WR2012). Water research commission. www.wrc.co.za

  • Bianduo, Bianbaciren, Lin L, Wei W, Zhaxiyangzong (2009) The response of lake area change to climate fluctuation in north Qinghai-Tibet Plateau in last 30 years. J Geogr Sci 19:131–142

    Article  Google Scholar 

  • Buishand TA (1982) Some methods for testing the homogeneity of rainfall records. J Hydrol 58:11–27

    Article  Google Scholar 

  • Buishand TA, Martino GD, Spreeuw JN, Brandsma T (2013) Homogeneity of precipitation series in the Netherlands and their trends in the past century. Int J Climatol 33:815–833

    Article  Google Scholar 

  • Combrink X, Korrubel JL, Kyle R, Taylor R, Ross P (2011) Evidence of a declining Nile crocodile (Crocodylus niloticus) population at Lake Sibayi, South Africa. S Afr J Wildl Res 41(2):145–157

    Article  Google Scholar 

  • CRCCH. Co-operative Research Centre for Catchment Hydrology (2005) TREND user guide, CRCCH, Melbourne, p. 17

  • de Lima MIP, Carvalho SCP, de Lima JLMP (2010) Investigating annual and monthly trends in precipitation structure: an overview across Portugal. Nat Hazards Earth Syst Sci 10:2429–2440

    Article  Google Scholar 

  • de Luis M, Gonzalez-Hidalgo JC, Brunetti M, Longares LA (2011) Precipitation concentration changes in Spain 1946 – 2005. Nat Hazards Earth Syst Sci 11:1259–1265

    Article  Google Scholar 

  • Delavar M, Morid S, Shafifar M (2008) Risk assessment of Urmiya level and climate change impact on it, Iran. J Hydraul 3(1):45–56

    Google Scholar 

  • Delju AH, Cylan A, Piguet E, Rebetez M (2013) Observed climate variability and change in Lake Urmia Basin, Iran. Theor Appl Climatol 111:285–296

    Article  Google Scholar 

  • Dyson LL (2009) Heavy daily-rainfall characteristics over the Gauteng Province. Water SA 35(5):627–638

    Article  Google Scholar 

  • Dyson LL, van Heerden J (2001) The heavy rainfall and floods over the northeastern interior of South Africa during February 2000. S Afr J Sci 97:80–86

    Google Scholar 

  • Dyson LL, van Heerden J (2002) A model for the identification of tropical weather systems over South Africa. Water SA 28(3):249–258

    Article  Google Scholar 

  • Edwards DC, Mackee TB (1997) Characteristics of 20th century drought in the United States at Multiple time scales. Climatology Report 97-2, Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

  • Fathian F, Morid S, Kahya E (2015) Identification of trends in hydrological and climatic variables in Lake Urmia basin, Iran. Theor Appl Climatol 119:443–464

    Article  Google Scholar 

  • Fathian F, Aliyari H, Kahya E, Dehghan Z (2016) Temporal trends in precipitation using spatial techniques in GIS over Urmia Lake Basin, Iran. Int J Hydrol Sci Technol 6(1):62–81

    Article  Google Scholar 

  • Gaupp F, Hall J, Dadson S (2015) The role of storage capacity in coping with intra- and inter-annual water variability in large river basins. Environ Res Lett 10:125001

    Article  Google Scholar 

  • Ghavidel RY, Zahedi M (2007) The determination of drought threshold and computation of dependable rainfall rate for stations of Lake Urmia Drainage Basin. Geogr Res Q 39:21–34

    Google Scholar 

  • Gronewold AD, Fortin V, Lofgren B, Clites A, Stow CA, Quinn F (2013) Coasts, water levels and climate change: a Great Lakes perspective. Clim Chang 120:697–711

    Article  Google Scholar 

  • Hassanzadeh E, Zarghami M, Hassanzadeh Y (2012) Determining the main factors in declining the Urmia Lake level by using system dynamics modelling. Water Resour Manag 26(1):129–145

    Article  Google Scholar 

  • Iskander SM, Rajib MA, Rahman MM (2014) Trending regional precipitation distribution and intensity: use of climatic indices. Atmospheric and Climate Sciences 4:385–393

    Article  Google Scholar 

  • Jawak SD, Kulkarni K, Luis AJ (2015) A review o n extraction of lakes from remotely sensed optical satellite data with a special focus on cryospheric lakes. Advances in Remote Sensing 4(3):196–213

    Article  Google Scholar 

  • Ji L, Zhang L, Wylie B (2009) Analysis of dynamic thresholds for the normalized difference water index. Photogramm Eng Remote Sens 75(11):1307–1317

    Article  Google Scholar 

  • Kalumba AM, Olwoch JM, van Aardt I, Botai OJ, Tsela P, Nsubuga FWN, Adeola AM (2013) Trend analysis of climate variability over the west bank-East London Area, South Africa (1975-2011). J Geog Geol 5(4):131–147

    Google Scholar 

  • Kraus EB (1977) Subtropical droughts and cross-equatorial energy transports. Mon Weather Rev 105:1009–1018

    Article  Google Scholar 

  • Kruger AC (2006) Observed trends in daily precipitation indices in South Africa: 1910 – 2004. Int J Climatol 26:2275–2285

    Article  Google Scholar 

  • Kruger AC, Shongwe S (2004) Temperature trends in South Africa: 1960 – 2003. Int J Climatol 24:1929–1945

    Article  Google Scholar 

  • Liao J, Shen G, Li Y (2013) Lake variations in response to climate change in the Tibetan Plateau in the past 40 years. Int J Digital Earth 6(6):534–549

    Article  Google Scholar 

  • Livada I, Assimakopoulos VD (2007) Spatial and temporal analysis of drought in Greece using the standardized precipitation index (SPI). Theor Appl Climatol 89:143–153

    Article  Google Scholar 

  • Mckee TB, Doesken NJ, Kleist J (1995) Drought monitoring with multiple time scales. Proceedings of Ninth Conference on Applied Climatology. American Meteorological Society, Boston, pp 233–236

  • Michiels P, Gabriels D, Hartmann R (1992) Using the seasonal and temporal precipitation concentration index for characterizing the monthly rainfall distribution in Spain. Catena 19:43–58

    Article  Google Scholar 

  • Nel R (2016) Modelling the trends of informal Sand Forest harvesting using remote sensing, with in Maputaland, Northern Kwa-Zulu-Natal. Unpublished master’s Thesis. Unisa

  • Nel R, Mearns KF, Jordan M (2017a) Modelling informal Sand forest harvesting using a disturbance index from landsat, in Maputaland (South Africa). Eco Inform 39:1–7

    Article  Google Scholar 

  • Nel R, Mearns KF, Jordan M (2017b) Trajectory analysis of informal Sand forest harvesting using Markov chain, within Maputaland, Northern KwaZulu-Natal. Eco Inform 42:121–128

    Article  Google Scholar 

  • New M, Hewitson B, Stephenson DB, Tsiga A, Kruger A, Manhique A, Gomez B, Coelho CAS, Masisi DN, Kululanga E, Mbambalala E, Adesina F, Saleh H, Kanyanga J, Adosi J, Bulane L, Fortunata L, Mdoka ML, Lajoie R (2006) Evidence of trends in daily climate extremes over southern and west Africa. J Geophys Res 111

  • Ngongondo CS (2006) An analysis of long-term rainfall variability, trends and ground water availability in the Mulunguzi river catchment area, Zomba mountain, southern Malawi. Quat Int 148:45–50

    Article  Google Scholar 

  • Nicholson SE (1986) The nature of rainfall variability in Africa south of the equator. Int J Climatol 6:515–530

    Article  Google Scholar 

  • Nsubuga FNW, Botai OJ, Olwoch JM, Rautenbach CJH, Bevis Y, Adetunji A (2014c) The nature of rainfall in the main drainage sub-basins of Uganda. Hydrol Sci J 59(2):278–299

    Article  Google Scholar 

  • Nsubuga FWN, Botai JO, Olwoch JM, Rautenbach CJ, Kalumba AM, Tsela P, Adeola AM, Sentongo AA, Mearns KF (2015) Detecting changes in surface water area of Lake Kyoga sub-basin using remotely sensed imagery in a changing climate. Theor Appl Climatol 127:327–337. https://doi.org/10.1007/s00704-015-1637-1

    Article  Google Scholar 

  • Nsubuga FWN, Olwoch JM, Rautenbach CJ, Botai JO (2014b) Analysis of mid-twentieth century rainfall trends and variability over southwestern Uganda. Theor Appl Climatol 115:53–71

    Article  Google Scholar 

  • Ouma YO, Tateishi R (2006) A water index for rapid mapping of shoreline changes of five East African Rift Valley lakes: an empirical analysis using Landsat TM and ETM+ data. Int J Remote Sens 27(15):3153–3181

    Article  Google Scholar 

  • Partal T, Kahya E (2006) Trend analysis in Turkish precipitation data. Hydrol Process 20:2011–2026

    Article  Google Scholar 

  • Parvin N (2011) Synoptic patterns of the most severe drought in Lake Urmia’s Basin areas. Geogr Res 26:89–107

    Google Scholar 

  • Peterson T, Vose R, Schmoyer R, Razuvaëv V (1998a) Global historical climatology network (GHCN) quality control of monthly temperature data. Int J Climatol 18:1169–1179

  • Peterson TC, Easterling DR, Karl TR, Groisman NN, Plummer N, Torok S, Auer I, Boehm R, Gullett D, Vincent L, Heino R, Tuomenvirta H, Mestre O, Szentimrey T, Salinger J, Førland EJ, Hanssen-Bauer I, Alexandersson H, Jones P, Parker D (1998b) Global Historical climatology Network (GHCN) quality control of monthly temperature data. Int J Climatol 18:1493–1517

    Article  Google Scholar 

  • Rasuly A, Naghdifar R, Rasoli M (2010) Detecting of Arasban Forest changes applying image processing procedures and GIS techniques. Procedia Environ Sci 2:454–464

    Article  Google Scholar 

  • Riordan B, Verbyla D, McGuire D (2006) Shrinking ponds in subarctic Alaska based on 1950-2002 remotely sensed images. J Geophys Res 111. https://doi.org/10.1029/2005JG000150

  • Sahin S, Cigizoglu HK (2010) Homogeneity analysis of Turkish meteorological data set. Hydrol Process 24:981–992

    Article  Google Scholar 

  • Shadkam S, Ludwig F, van Oel P, Kirmit C, Kabat P (2016) Impacts of climate change and water resources development on declining inflow into Iran’s Urmia Lake. J Great Lakes Res 42:942–952

    Article  Google Scholar 

  • Štěpánek P (2008) AnClim-software for time series analysis: Department of geography, Fac. Of Natural Sciences, MU, Brno. 1.47 MB. http://www.climahom.eu/AnClim.html

  • Tiwari VM, Wahr J, Swenson S (2009) Dwindling ground water resources in northern India, from satellite gravity observations. Geophys Res Lett 36:L18401. https://doi.org/10.1029/2009GL039401

    Article  Google Scholar 

  • Türkeş M (1996) Spatial and temporal analysis of annual rainfall variation in Turkey. Int J Climatol 16:1057–1076

    Article  Google Scholar 

  • Valli M, Sree KS, Krishna IVM (2013) Analysis of precipitation concentration index and rainfall prediction in various agro-climatic zones of Andhra Pradesh, India. International Research Journal of Environmental Sciences 2(5):53–61

    Google Scholar 

  • Vincent LA (1998) A technique for the identification of inhomogeneities in Canadian temperature series. J Clim 11:1094–1104

    Article  Google Scholar 

  • Von Storch H, Navarra A (1995) Analysis of climate variability: applications of statistical techniques. Springer Verlag, New Yor, pp 281–297

  • Weitz J, Demlie M (2014) Conceptual modeling of ground water-surface water interactions in the Lake Sibayi catchment, eastern South Africa. J Afr Earth Sci 99:613–624

    Article  Google Scholar 

  • Wijngaard JB, Klein Tank AMG, Kӧnnen GP (2003) Homogeneity of 20th century European daily temperature and precipitation series. Int J Climatol 23:679–692

    Article  Google Scholar 

  • World Meteorological Organisation (2012) Standardized precipitation index user guide. (M.Svoboda, M. Hayes & D. Wood) (WMO-No.1090), Geneva

  • Xie H, Ringler C, Zhu T, Waqas A (2013) Droughts in Pakistan: a spatiotemporal variability analysis using the standardized precipitation index. Water Int 38(5):620–631

    Article  Google Scholar 

  • Xu H (2006) Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27(14):3025–3033

    Article  Google Scholar 

  • Zewen L (2012) Response of Inland Lakes to climate change across the Tibetan Plateau investigated using Landsat and ICEsat data. Master’s Thesis, University of Tennessee, 2012. http://trace.tennessee.edu/utk_gradthes/1327. Accessed 19.06.2015

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Acknowledgments

We are grateful to the South African Weather Services (Durban, RSA), the Department of Water and Sanitation, and USGS for data provision.

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Authors and Affiliations

  1. Department of Geography, Geoinformantics and Meteorology, University of Pretoria, Hatfield Campus, Private Bag X20, Hatfield, 0002, South Africa

    Francis N. Wasswa Nsubuga

  2. Department of Environmental Science, College of Agriculture and Environmental Sciences, University of South Africa, Florida Campus, Private Bag X6, Florida, 1700, South Africa

    Francis N. Wasswa Nsubuga & Kevin F. Mearns

  3. South African Weather Services, Private Bag X097, Pretoria, 0001, South Africa

    Abiodun M. Adeola

  4. School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa

    Abiodun M. Adeola

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  1. Francis N. Wasswa Nsubuga
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Correspondence to Francis N. Wasswa Nsubuga.

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Nsubuga, F.N.W., Mearns, K.F. & Adeola, A.M. Lake Sibayi variations in response to climate variability in northern KwaZulu-Natal, South Africa. Theor Appl Climatol 137, 1233–1245 (2019). https://doi.org/10.1007/s00704-018-2640-0

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  • DOI: https://doi.org/10.1007/s00704-018-2640-0