Study of drought impact on inland navigation systems based on a flow network model

Inland navigation systems are large scale networks that are used for transport. The navigation can be accommodated if the navigation condition are gathered, i.e. if there is enough volume of water in each part of the network. Thus, it is necessary to supply the inland navigation networks with water and to well dispatch the available volume of water on the whole system. This aim is generally achieved without difficulty in normal condition. However, during drought periods, the available volume of water is decreasing and the navigation conditions would not be reached everytime. These situations are expected to be more current in the future specially in a global change context in which the frequency and the magnitude of drought events will increase. Hence, it is necessary to design some tools to study the resilience of inland navigation networks against drought events. For this purpose a flow network model, allowing to simulate the inland navigation systems, is proposed in this paper.

[1]  R. Dekker,et al.  The impact of greening on supply chain design and cost: a case for a developing region , 2012 .

[2]  Ravinesh C. Deo,et al.  Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea , 2015 .

[3]  Eric Duviella,et al.  Multi-scale modeling approaches of inland navigation networks for their management in a global change context , 2014 .

[4]  B. Arkell,et al.  Impact of climate change on London's transport network , 2006 .

[5]  V. Singh,et al.  Drought characterization from a multivariate perspective: A review , 2015 .

[6]  Alexander Hall,et al.  The Maximum Energy-Constrained Dynamic Flow Problem , 2008, SWAT.

[7]  Julien Boé,et al.  Projected changes in components of the hydrological cycle in French river basins during the 21st century , 2009 .

[8]  Olivier L. de Weck,et al.  Time‐expanded decision networks: A framework for designing evolvable complex systems , 2007, Syst. Eng..

[9]  Baoshan Cui,et al.  River channel network design for drought and flood control: A case study of Xiaoqinghe River basin, Jinan City, China. , 2009, Journal of environmental management.

[10]  C. Brand,et al.  The UK transport carbon model: An integrated life cycle approach to explore low carbon futures , 2012 .

[11]  B. Bates,et al.  Climate change and water. , 2008 .

[12]  Mirjana Golušin,et al.  Policy and promotion of sustainable inland waterway transport in Europe ― Danube River , 2011 .

[13]  L. Terray,et al.  CLIMATE CHANGE IMPACTS ON WATER RESOURCES AND HYDROLOGICAL EXTREMES IN NORTHERN FRANCE , 2015 .

[14]  Roman Barták,et al.  Constraint Processing , 2009, Encyclopedia of Artificial Intelligence.

[15]  N. Wanders,et al.  Human and climate impacts on the 21st century hydrological drought , 2015 .

[16]  E. Lin,et al.  Assessing vulnerability and adaptive capacity to potential drought for winter-wheat under the RCP 8.5 scenario in the Huang-Huai-Hai Plain , 2015 .

[17]  Lu Zhang,et al.  Modelling hydrological response to different land‐use and climate change scenarios in the Zamu River basin of northwest China , 2008 .

[18]  H Nouasse,et al.  A flood lamination strategy based on transportation network with time delay. , 2013, Water science and technology : a journal of the International Association on Water Pollution Research.