HiWATER: An Integrated Remote Sensing Experiment on Hydrological and Ecological Processes in the Heihe River Basin
Received date: 2012-03-27
Revised date: 2012-04-17
Online published: 2012-05-10
This paper introduces the background, scientific objectives, experiment components and implementation plan of the Heihe Watershed Allied Telemetry Experimental Research (HiWATER). The overall objective of HiWATER is to improve the observability of hydrological and ecological processes, to build a worldclass river basin observing system, and to increase the applicability of remote sensing and other new generation observation techniques in ecohydrological studies and water resource management at basin scale. HiWATER encompasses fundamental experiments, thematic experiments, application experiments, remote sensing methods development and products generation, and an integrated information system.
(1) Fundamental experiments: ① Microwave radiometer, imaging spectrometer, thermal imaging camera, Light Detection and Ranging (LiDAR) and other sensors will be used in the airborne missions to observe key eco-hydrological parameters and at the meantime to develop and improve the remote sensing models and methods for the retrieval of those variables. ② To establish a comprehensive hydrometeorological observation network that will cover the entire Heihe River Basin, in order to provide more representative model parameters and forcing data, and more accurate ground truths. ③ An eco-hydrological Wireless Sensor Network (WSN) will be established to capture the spatial-temporal dynamics and variations of key forcing data, eco-hydrological parameters, and model state variables over heterogeneous land surfaces. ④ Airborne sensors calibration and ground-based remote sensing experiments will be conducted. Remote sensing products will be validated rest upon the WSN, in association with simultaneous in situ measurements and other intensive observations.
(2) Thematic experiments: A multiscale observation experiment on evapotranspiration will be performed over heterogeneous land surfaces. Eddy Covariance (EC) systems, Large Aperture Scintillometer (LAS), and Automatic Weather Stations (AWSs) will be intensively deployed to constitute an observing matrix to reveal the spatial heterogeneities of ET, to identify the scale effects and achieve scale transformation of ET over heterogeneous landscapes, and to provide elementary data sets for the development and validation of ET estimation models.
(3) Application experiments: Purposeful observation experiments will be performed in the upstream, middle stream, and downstream of the Hiehe River Basin, aiming at snow and frozen soil hydrology, water balance in irrigation management, and quantifying plant water consumption. Observed data sets and remote sensing products will be used in distributed hydrological model, coupled surface water-groundwater-crop growth model, and ecological water consumption model towards the areas of upstream, middle stream, and downstream. It is anticipated the applicability of remote sensing in integrated ecohydrological studies and water resource management can be enhanced by means of these empirical researches.
The intensive observations and field campaigns will be orderly undertaken in the middle stream, upstream, and downstream of the Heihe River Basin from May, 2012 to 2015. Dependent on various experiments, remote sensing products at basin scale for the key eco-hydrological variables will be created, scale transformation approaches will be explored, and a multi-source remote sensing data assimilation system will be eventually built.
Li Xin, Liu Shaomin, Ma Mingguo, Xiao Qing, Liu Qinhuo, Jin Rui, Che Tao . HiWATER: An Integrated Remote Sensing Experiment on Hydrological and Ecological Processes in the Heihe River Basin[J]. Advances in Earth Science, 2012 , 27(5) : 481 -498 . DOI: 10.11867/j.issn.1001-8166.2012.05.0481
[1]Li Xin, Ma Mingguo, Wang Jian, et al. Simultaneous remote sensing and ground-based experiment in the Heihe River Basin: Scientific objectives and experiment design [J]. Advances in Earth Science, 2008, 23(9): 897-914.[李新, 马明国, 王建, 等. 黑河流域遥感—地面观测同步试验：科学目标与试验方案[J]. 地球科学进展, 2008, 23(9): 897-914.]
[2]Li X, Li X W, Li Z Y, et al. Watershed allied telemetry experimental research [J]. Journal of Geophysical Research, 2009, 114:(D22103), doi:10.1029/2008JD011590.
[3]Cheng Guodong. Integrated Management of the Water-Ecology-Economy System in the Heihe River Basin [M]. Beijing: Science Press, 2009:581.[程国栋. 黑河流域水—生态—经济系统综合管理研究 [M]. 北京: 科学出版社, 2009:581.]
[4]Li Xin, Cheng Guodong. On the watershed observing and modeling systems [J]. Advances in Earth Science, 2008, 23(7): 756-764.[李新, 程国栋. 流域科学研究中的观测和模型系统建设 [J]. 地球科学进展, 2008, 23(7): 756-764.]
[5]Committee on U.S. Geological Survey, National Research Council. Watershed Research in the U.S. Geological Survey [M]. Washington, DC: National Academies Press, 1997:96.
[6]Committee on Watershed Management, National Research Council. New Strategies for America’s Watersheds [M]. Washington DC: National Academies Press, 1999:328.
[7]Committee on River Science at the U.S. Geological Survey, National Research Council. River Science at the U.S. Geological Survey [M].Washington, DC: National Academies Press, 2007:206.
[8]Li Xin, Cheng Guodong, Ma Mingguo, et al. Digital Heihe River Basin. 4: Watershed observing system [J]. Advances in Earth Science, 2010, 25(8): 866-876.[李新, 程国栋, 马明国, 等. 数字黑河的思考与实践4：流域观测系统 [J]. 地球科学进展, 2010, 25(8): 866-876.]
[9]Consortium of Universities for the Advancement of Hydrologic Science. Hydrology of a Dynamic Earth [R]. Consortium of Universities for the Advancement of Hydrologic Science, Inc., 2007.
[10]NRC: Committee on the Review of Water and Environmental Research Systems (WATERS) Network, National Research Council. Review of the WATERS Network Science Plan [M]. Washington DC: National Academies Press, 2010:88.
[11]Bogena H, Schulz K, Vereecken H. Towards a network of observatories in terrestrial environmental research [J]. Advances in Geosciences, 2006, 9: 109-114.
[12]Wigmosta M S, Vail L W, Lettenmaier D P. A distributed hydrology-vegetation model for complex terrain [J]. Water Resources Research, 1994, 30(6): 1 665-1 679.
[13]Arnold J G, Fohrer N. SWAT2000: Current capabilities and research opportunities in applied watershed modeling [J]. Hydrological Processes, 2005, 19(3): 563-572.
[14]Rigon R, Bertoldi G, Over T M. GEOtop: A distributed hydrological model with coupled water and energy budgets[J].Journal of Hydrometeorology, 2006, 7(3): 371-388.
[15]Harbaugh A W, Banta E R, Hill M C, et al. MODFlow-2000, The U.S. Geological Survey Modular Ground-Water Model-User Guide to Modularization Concepts and the Ground-Water Flow Process[R].CO: U.S. Geological Survey,Denver, 2000.
[16]Sitch S, Smith B, Prentice I C, et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model [J]. Global Change Biology, 2003, 9(2): 161-185.
[17]Thornton P E, Running S W. User’s Guide for Biome-BGC, Version 4.1.2[Z].USA, 2002.
[18]Vandiepen C A, Wolf J, Vankeulen H, et al. WOFOST—A simulation-model of crop production [J]. Soil Use and Management, 1989, 5(1): 16-24.
[19]Sellers P J, Randall D A, Collatz G J, et al. A revised land surface parameterization (SiB2) for atmospheric GCMs. Part I: Model formulation [J]. Journal of Climate, 1996, 9(4): 676-705.
[20]Dai Y, Zeng X, Dickinson R E, et al. The common land model [J]. Bulletin of American Meteorological Society, 2003, 84(8): 1 013-1 023.
[21]Oleson K W, Lawrence D M, Bonan G B, et al. Technical Description of Version 4.0 of the Community Land Model (CLM)[R]. NCAR/TN-478+STR, Boulder, CO: National Center for Atmospheric Research, 2010:257.
[22]Zhang Y L, Cheng G D, Li X, et al. Coupling the Simultaneous Heat and Water model (SHAW) with a distributed hydrological model and its evaluation of the combined model in a cold region watershed [J]. Hydrological Processes, 2012(submitted).
[23]Zhou J, Hu B X, Cheng G D, et al. Development of a three-dimensional watershed modelling system for water cycle in the middle part of the Heihe rivershed, in the west of China [J]. Hydrological Processes, 2011, 25(12): 1 964-1 978.
[24]Zhou J, Cheng G D, Li X, et al. Numerical modeling of wheat irrigation using coupled HYDRUS and WOFOST models [J]. Soil Science Society of America Journal,2012,76(2):648-662, doi:10.2136/sssaj2010.0467.
[25]Tian W, Li X, Wang X S, et al. Coupling a groundwater model with a land surface model to improve the water and energy cycle simulation [J]. Hydrology and Earth System Sciences, 2012(submitted).
[26]Pomeroy J W, Gray D M, Brown T, et al. The cold regions hydrological process representation and model: A platform for basing model structure on physical evidence [J]. Hydrological Processes, 2007, 21(19): 2 650-2 667.
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