Estimating Water Balance Components of Lakes and Reservoirs Using Various Open Access Satellite Databases

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Estimating Water Balance Components of Lakes and Reservoirs Using Various Open Access Satellite Databases Estimating Water Balance Components of Lakes and Reservoirs Using Various Open Access Satellite Databases Zheng DUAN 段峥 Estimating Water Balance Components of Lakes and Reservoirs Using Various Open Access Satellite Databases Proefschrift ter verkrijging van de graad van doctor aan de Technische Universiteit Delft, op gezag van de Rector Magnificus prof. ir. K.C.A.M. Luyben, voorzitter van het College voor Promoties, in het openbaar te verdedigen op dinsdag 21 oktober 2014 om 15:00 uur door Zheng DUAN Master of Natural Science in Cartography and Geographic Information System Graduate University of Chinese Academy of Sciences, Beijing, China geboren te Henan province, China Dit proefschrift is goedgekeurd door de promotor: Prof. dr. W.G.M. Bastiaanssen Samenstelling promotiecommissie: Rector Magnificus voorzitter Prof. dr. W.G.M. Bastiaanssen Technische Universiteit Delft, promotor Dr. Y.A. Mohamed Hydraulics Research Institute en UNESCO-IHE Prof. dr.ir. B.J.J.M. van den Hurk Vrije Universiteit Amsterdam en KNMI Prof. dr. Z. Su Universiteit Twente Prof. dr. J.C.J. Kwadijk Universiteit Twente en Deltares Prof. dr. D.P. Solomatine Technische Universiteit Delft en UNESCO-IHE Prof. dr. ir. H.H.G. Savenije Technische Universiteit Delft Prof. dr. ir. P. van der Zaag Technische Universiteit Delft en UNESCO-IHE, reservelid The research described in this dissertation was performed at the Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands. The China Scholarship Council (CSC) provided financial support for carrying out this research. Keywords: precipitation, satellite altimetry, Landsat, water volume, heat storage, hysteresis, evaporation, radiation, temperature, runoff, outflow Cover photo Zheng DUAN Lay out Jing HUA Word cloud http://www.tagxedo.com/app.html Printed by Off Page, Amsterdam ISBN 978-94-6182-501-8 Copyright © 2014 by Zheng DUAN [email protected] An electronic version of this dissertation is available at http://repository.tudelft.nl Contents Summary v Samenvatting xi Symbols and abbreviations xvii 1 Introduction 1 1.1 Importance of studying water balance of lakes and reservoirs 1 1.2 The general water balance components of lakes and reservoirs 7 1.3 Brief review of quantifying water balance components and the role of remote sensing 8 1.3.1 Surface inflow into lakes and reservoirs 8 1.3.2 Precipitation over water surface of lakes and reservoirs 11 1.3.3 Water volume of lakes and reservoirs 12 1.3.4 Evaporation from lakes and reservoirs 13 1.3.5 Groundwater flows of lakes and reservoirs 15 1.3.6 Surface outflow from lakes and reservoirs 17 1.4 Objective and research questions of the thesis 18 1.5 Outline of the thesis 19 2 First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling–calibration procedure 23 2.1 Introduction 23 2.2 Study areas 27 2.2.1 Lake Tana Basin 27 2.2.2 Caspian Sea Region 27 2.3 Datasets and processing 28 2.3.1 Rain gauge data 28 2.3.2 Version 7 TRMM 3B43 data 29 2.3.3 SPOT-NDVI data 29 2.4 Methodology 30 2.4.1 General 30 2.4.2 Downscaling of un-calibrated TRMM 3B43 annual precipitation 30 2.4.3 GDA and GRA calibration of downscaled precipitation 32 2.4.4 Disaggregation from annual precipitation into monthly values 37 2.4.5 Validation 38 2.5 Results and discussion 39 2.5.1 Lake Tana Basin 39 2.5.2 Caspian Sea Region 46 2.6 Conclusions 49 i Estimating water balance components of lakes and reservoirs Acknowledgements 51 3 Estimating water volume variations in lakes and reservoirs from four operational satellite altimetry databases and satellite imagery data 53 3.1 Introduction 53 3.2 Background on satellite altimetry 58 3.3 Study areas 60 3.4 Data Sets 61 3.4.1 In-situ measurements 61 3.4.2 Satellite altimetry products for water level 62 3.4.3 Landsat TM/ETM+ imagery 66 3.5 Methodology 67 3.5.1 Surface area estimation 67 3.5.2 Water volume estimation 68 3.5.3 Validation 69 3.6 Results and discussion 70 3.6.1 Water levels 70 3.6.2 Water volumes 78 3.7 Conclusions 84 Acknowledgements 86 4 A new empirical procedure for estimating intra-annual heat storage changes in lakes and reservoirs: Review and analysis of 22 lakes 89 4.1 Introduction 89 4.2 Database establishment and analysis from literature survey 94 4.3 Methods 95 4.3.1 The new hysteresis model for estimating Qt from net all wave radiation Rn 95 4.3.2 Evaluation of the Slob’s equation for computing Rn from Rs 100 4.4 Results and discussion 102 4.4.1 Results of the new hysteresis model 102 4.4.2 Results of the Slob’s equation for computing Rn from Rs 106 4.4.3 Interpretation of coefficients a and b in the hysteresis model 108 4.4.4 Implementation and evaluation of the proposed procedure for estimating Qt 112 4.4.5 Limitations of the proposed procedure 120 4.5 Summary and conclusions 121 Acknowledgements 122 5 Evaluation of three energy balance-based evaporation models for lakes using a new heat storage changes term 125 5.1 Introduction 125 ii Contents 5.2 Methods and datasets 127 5.2.1 Three selected evaporation models 127 5.2.2 The hysteresis model for estimating Qt 130 5.2.3 Testing sites and datasets 131 5.3 Results and discussion 133 5.4 Summary and conclusions 140 Acknowledgements 141 6 The water balance of Lake Tana computed from new earth observation technologies 145 6.1 Introduction 145 6.2 Study area 147 6.3 Data and Methods 148 6.3.1 Inflow into the lake 148 6.3.2 Precipitation over the lake 151 6.3.3 Evaporation from the lake 152 6.3.4 Water volume changes and water surface area 153 6.3.5 Groundwater inflow and outflow 154 6.3.6 Surface outflow from lake 154 6.4 Results and discussion 155 6.4.1 Water balance over the land area of Lake Tana Basin 155 6.4.2 Water balance of Lake Tana 160 6.5 Summary and conclusions 162 Acknowledgements 163 7 Conclusions and future research 165 7.1 Conclusions 165 7.2 Future research 171 7.2.1 Satellite precipitation products 171 7.2.2 Satellite altimetry 172 7.2.3 Heat storage changes and lake evaporation 174 7.2.4 Lake inflow 175 Appendix 177 References 179 Acknowledgements 199 Curriculum Vitae 201 List of publications 203 iii Estimating water balance components of lakes and reservoirs Reservoir,China Dam & Photo from Google Images Three Gorges iv Summary There are millions of lakes and ten thousands of reservoirs in the world. The number of reservoirs is still increasing through the construction of large dams to meet the growing demand for water resources, hydroelectricity and economic development. Accurate information on the water balance components of lakes and reservoirs is deemed necessary for managing demand (i.e. of the various water user communities) and supply (gauged and ungauged inflow from surrounding catchments). Information on storage and availability of fresh water is a national security issue in many countries. In-situ hydrological measurements of reservoirs are usually not publically available. Satellite measurements and the application of specific interpretation algorithms are alternative sources of information which are publicly accessible and can help communities to better utilize scarce water resources. Ultimately, a rich, readily available and accessible data source will lead to better management decisions, with various benefits and services for all stakeholders. This thesis explores the use of satellite measurements to estimate the various key water balance components of lakes and reservoirs, ultimately leading to predictions of releases from reservoirs. Various open-access satellite databases have been explored. This thesis places emphasis on the following aspects: (i) improving existing satellite products linked to lakes and reservoirs; (ii) integrating and customizing various satellite products; (iii) evaluating and comparing alternative satellite products and (iv) developing remote sensing algorithms for the generation of new products for lakes and reservoirs. A summary of some existing open-access databases pertaining to water balance components of lakes and reservoirs is presented in the Appendix of this thesis. A pre-requisite for estimating the inflow to lakes and reservoirs from the surrounding catchments is to have access to accurate precipitation data at high spatial resolution and for the mountains where gauges are often absent. A new integrated downscaling-calibration procedure is described in Chapter 2. It is based on an integration of the TRMM (Tropical Rainfall Measuring Mission) 3B43 precipitation product (at 0.25° resolution) and NDVI (Normalized Difference Vegetation Index) from SPOT-Vegetation satellite data. This procedure creates an improved product of monthly v Estimating water balance components of lakes and reservoirs pixel-based precipitation data at 1 km resolution. Only limited rain gauge datasets are required for calibration. This new procedure has been successfully tested in two different basins: Lake Tana Basin in Ethiopia with a humid climate and the Caspian Sea Region in Iran with a semi-arid climate. Chapter 3 describes the quantification of time series of water level, lake surface area and lake water volume from open-access databases based on satellite measurements. The four currently available satellite altimetry databases providing lake levels are firstly evaluated for three different lakes: Lake Mead (U.S.A), Lake Tana (Ethiopia) and Lake IJssel (The Netherlands). The four databases are: (i) Global Reservoir and Lake Monitoring (GRLM), (ii) River Lake Hydrology (RLH), (iii) Hydroweb and (iv) ICESat-GLAS level 2 Global Land Surface Altimetry data (ICESat-GLAS).
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