Implications of Modelled Climate and Land Cover Changes on Runoff in the Middle Route of the South to North Water Transfer Project in China

Sustainable management of water for human uses and maintaining river health requires reliable information about the future availability of water resources. We quantified the separate and combined impacts of climate and land cover changes on runoff for the historical record and for modelled future scenarios in the upper Han River and Luan River, supply and demand zones respectively of the middle route of the South to North Water Transfer Project in China, the world’s largest inter-basin water transfer project. We used a precipitation-runoff model, averaged multiple climate model predictions combined with three emissions scenarios, a combined CA-Markov model to predict land cover change, and a range of statistical tests. Comparing baseline with 2050: climate change would cause an average reduction in runoff of up to 15 % in the upper Han River and up to 9 % in the Luan River catchment; a scenario involving increased forest cover would reduce runoff by up to 0.19 % in the upper Han River and up to 35 % in the Luan River; a scenario involving increased grass cover would increase runoff by up to 0.42 % in the upper Han River and up to 20 % in the Luan River. In the lower Luan River, the mean annual flow after 1998 fell to only 17 % of that of the baseline period, posing a serious threat to river health. This was explained largely by extraction of surface water and groundwater, rather than climate and land use change.

[1]  Fei Tian,et al.  Abrupt change of runoff and its major driving factors in Haihe River Catchment, China , 2009 .

[2]  P. Zhou,et al.  Opportunities and eco-environmental influence of cascade hydropower development and water diversion projects in Hanjiang river basin , 2013, Journal of the Geological Society of India.

[3]  Feng Ping,et al.  Runoff variations in the Luanhe River Basin during 1956-2002 , 2007 .

[4]  B. Narsimlu,et al.  Assessment of Future Climate Change Impacts on Water Resources of Upper Sind River Basin, India Using SWAT Model , 2013, Water Resources Management.

[5]  Zhong Yong-heng,et al.  ESTABLISHMENT AND APPLICATION OF THE RESEARCH INFORMATION SYSTEM OF RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN , 2002 .

[6]  B. Merkel,et al.  Assessing the Impacts of Climate Change on Hydrology of the Upper Reach of the Spree River: Germany , 2014, Water Resources Management.

[7]  Zhicai Zhang,et al.  Effects of Land-Use and Climate Change on Hydrological Processes in the Upstream of Huai River, China , 2013, Water Resources Management.

[8]  Quan-fa Zhang,et al.  The South‐to‐North Water Transfer Project of China: Environmental Implications and Monitoring Strategy 1 , 2009 .

[9]  Alexei G. Sankovski,et al.  Special report on emissions scenarios , 2000 .

[10]  P. Sen Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .

[11]  Günter Blöschl,et al.  Time stability of catchment model parameters: Implications for climate impact analyses , 2011 .

[12]  J. W. Bruce,et al.  The causes of land-use and land-cover change: moving beyond the myths , 2001 .

[13]  Jeffrey G. Arnold,et al.  The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions , 2007 .

[14]  John F. B. Mitchell,et al.  THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research , 2007 .

[15]  W. G. Rees,et al.  Comparing the spatial content of thematic maps , 2008 .

[16]  A. Foley Uncertainty in regional climate modelling: A review , 2010 .

[17]  Zhao Xinfeng Ecological Water Requirements in the Lower Reaches of the Tarim River , 2013 .

[18]  Climate change impacts on hydrological processes in the water source area of the Middle Route of the South-to-North Water Diversion Project , 2012 .

[19]  F. Giorgi,et al.  Upgrades to the reliability ensemble averaging method for producing probabilistic climate-change projections , 2010 .

[20]  Hong Yang,et al.  The South-North Water Transfer Project in China , 2005 .

[21]  K. Hokao,et al.  Modeling urban land use change by the integration of cellular automaton and Markov model , 2011 .

[22]  Lu Zhang,et al.  Towards better water security in North China , 2006 .

[23]  Lu Zhang,et al.  Response of mean annual evapotranspiration to vegetation changes at catchment scale , 2001 .

[24]  J. Mitchell,et al.  Global environmental change. Human and policy dimensions. , 1990 .

[25]  Yaoming Liao Change of parameters of BCC/RCG-WG for daily non-precipitation variables in China: 1951–1978 and 1979–2007 , 2013, Journal of Geographical Sciences.

[26]  Andrew Fenemor,et al.  Modelling Impacts of Land Cover Change on Critical Water Resources in the Motueka River Catchment, New Zealand , 2009 .

[27]  John F. B. Mitchell,et al.  THE WCRP CMIP 3 MULTIMODEL DATASET A New Era in Climate Change Research , 2017 .

[28]  T. McMahon,et al.  Detection of trend or change in annual flow of Australian rivers , 1993 .

[29]  Guangqian Wang,et al.  Assessing ecological land use and water demand of river systems: a case study in Luanhe River, North China , 2012 .

[30]  Wang Yin-tang Ecological water requirements in the lower reaches of Luanhe Basin , 2009 .

[31]  M. Webb,et al.  Quantification of modelling uncertainties in a large ensemble of climate change simulations , 2004, Nature.

[32]  J. Berkoff China: The South-North Water Transfer Project— is it justified? , 2003 .