Hydrometric network evaluation for Canadian watersheds

In recent years, climate change impacts on water resources sectors have been extensively documented. Anticipated changes range from more severe storms to more frequent floods and drought at regional scale. Pressure on water resources and hence on the environment will probably increase with the need of quality data for sustainable design of water resources projects. Therefore, for an optimal network design, hydrometric networks are to be reviewed periodically based on the information needs of the various end users and the perspective for future water resources development. This paper evaluates hydrometric networks to identify essential streamflow stations and critical areas (highly poor network density) within major watersheds across the different provinces of Canada using entropy theory. The method is applied to daily streamflow data and information coefficients such as marginal entropy, joint entropy and transinformation index are used for the identification of important stations as well as critical areas in the basin. The analysis results show that almost all Canadian main watersheds contain deficient hydrometric networks. The most deficient streamflow networks are identified in Alberta (North Saskatchewan, Oldman, and Red Deer basins), Northern Ontario (Hudson Bay basin), and the Northwest Territories. The information might prove to be helpful for decision makers to undertake cost-benefit analyses for hydrometric network updating in each region.

[1]  J. Stedinger,et al.  Regional Hydrologic Analysis: 1. Ordinary, Weighted, and Generalized Least Squares Compared , 1985 .

[2]  J. Rodda,et al.  Guessing or assessing the world's water resources? , 1995 .

[3]  Lubos Mitas,et al.  Multivariate Interpolation of Precipitation Using Regularized Spline with Tension , 2002, Trans. GIS.

[4]  Slobodan P. Simonovic,et al.  Group-based estimation of missing hydrological data: I. Approach and general methodology , 2000 .

[5]  Donald H. Burn,et al.  An entropy approach to data collection network design , 1994 .

[6]  Nilgun B. Harmancioglu,et al.  WATER QUALITY MONITORING NETWORK DESIGN: A PROBLEM OF MULTI‐OBJECTIVE DECISION MAKING , 1992 .

[7]  G. Tasker,et al.  Entropy and generalized least square methods in assessment of the regional value of streamgages , 2003 .

[8]  John C. Rodda,et al.  Towards a world hydrological cycle observing system , 1993 .

[9]  Tahir Husain Hydrologic Network Design Formulation , 1987 .

[10]  V. Singh,et al.  THE USE OF ENTROPY IN HYDROLOGY AND WATER RESOURCES , 1997 .

[11]  Paulin Coulibaly,et al.  Developments in hydrometric network design: A review , 2009 .

[12]  Vijay P. Singh,et al.  Evaluation of rainfall networks using entropy: II. Application , 1992 .

[13]  R. Carter,et al.  Water Policy : Allocation and management in practice , 1996 .

[14]  R. Soni The International Union for the Conservation of Nature and Natural Resources , 1960, Oryx.

[15]  R. Allen World conservation strategy. Living resource conservation for sustainable development. , 1980 .

[16]  S. Rouhani Variance Reduction Analysis , 1985 .

[17]  I. Rodríguez‐Iturbe,et al.  Random Functions and Hydrology , 1984 .

[18]  Tahir Husain,et al.  HYDROLOGIC UNCERTAINTY MEASURE AND NETWORK DESIGN1 , 1989 .

[19]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[20]  C. Pearson,et al.  Changes to New Zealand's national hydrometric network in the 1990s , 1998 .

[21]  Tom G. Chapman,et al.  Entropy as a measure of hydrologic data uncertainty and model performance , 1986 .

[22]  Donald H. Burn,et al.  Hydrological information for sustainable development , 1997 .

[23]  Zbigniew W. Kundzewicz,et al.  Water resources for sustainable development , 1997 .

[24]  Vijay P. Singh,et al.  An entropy-based investigation into the variability of precipitation , 2009 .

[25]  Erik Stokstad,et al.  Scarcity of Rain, Stream Gages Threatens Forecasts , 1999, Science.

[26]  Robert R. Mason,et al.  Streamflow Information for the Nation , 1997 .

[27]  Vijay P. Singh,et al.  Evaluation of rainfall networks using entropy: I. Theoretical development , 1992 .

[28]  S. F. Railsback,et al.  Comparison of regression and time-series methods for synthesizing missing streamflow records , 1989 .

[29]  Paulin Coulibaly,et al.  Comparison of neural network methods for infilling missing daily weather records , 2007 .

[30]  E. Weiss United Nations Conference on Environment and Development , 1992, International Legal Materials.