黑河流域生态水文传感器网络设计

doi:10.11867/j.issn.1001-8166.2012.09.0993

地球科学进展 ›› 2012, Vol. 27 ›› Issue (9): 993 -1005. doi: 10.11867/j.issn.1001-8166.2012.09.0993

黑河流域生态水文传感器网络设计

晋锐 ¹，李新 ¹，阎保平 ²，罗万明 ²，李秀红 ³，郭建文 ¹，马明国 ¹，亢健 ¹，张艳林 ^1

1. 中国科学院寒区旱区环境与工程研究所，甘肃兰州 730000; 2. 中国科学院计算机网络信息中心，北京 100190; 3. 北京师范大学，北京 100875

收稿日期:2012-05-08 修回日期:2012-07-10 出版日期:2012-09-10
通讯作者: 晋锐（1979-），女，山西临汾人，博士，副研究员，主要从事冻土遥感、土壤水分遥感和陆面数据同化研究.E-mail:jinrui@lzb.ac.cn
基金资助:
国家高技术研究发展计划重大项目“星机地综合定量遥感系统与应用示范（一期）”课题“遥感产品真实性检验关键技术及其试验验证”（编号：2012AA12A305）和“基于下一代互联网的科研信息基础设施建设和应用示范工程”课题“黑河流域生态水文遥感——地面观测试验与综合模拟应用示范”（编号：Y002025412）；国家高技术研究发展计划项目“陆面模拟与同化系统示范研究”（编号：2009AA122104）；国家自然科学基金项目“冻土主被动微波辐射传输模拟及其辐射散射特性研究”（编号：41071226）资助.

Introduction of Eco-hydrological Wireless Sensor Network in the Heihe River Basin

Jin Rui ¹, Li Xin ¹, Yan Baoping ², Luo Wanming ², Li Xiuhong ³, Guo Jianwen ¹, Ma Mingguo ¹, Kang Jian ¹, Zhang Yanlin ¹

1.Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;2.Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;3. Beijing Normal University, Beijing 100875, China

Received:2012-05-08 Revised:2012-07-10 Online:2012-09-10 Published:2012-09-10

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在黑河上游八宝河流域和中游盈科灌区，以无线传感器网络为纽带，高效集成流域尺度内密集分布的、多源异构传感器的各种气象、水文及生态观测项目，建立自动化、智能化、时空协同的、各观测节点远程可控的生态水文传感器综合观测网络；通过优化地面采样方案，精细观测和准确度量流域尺度内空间异质性较强的关键水文生态要素的时空动态过程、时空变异性和不确定性；研究针对星载/机载遥感真实性检验的地面传感器采样方案，精细验证遥感反演精度，深入挖掘各种遥感手段在流域综合观测中的作用和潜力；全面提高流域水文生态过程的综合观测能力和观测自动化水平。

关键词: 无线传感器网络, 黑河流域, 生态水文, 遥感真实性检验

This paper gives an introduction about the ecohydrological wireless sensor network in the Heihe River Basin, including its background, observation objective, node type definition, data transfer mode, and the optimal spatial sampling strategy. All kinds of meteorological, hydrological and ecological observation sites distributed in both the Babaohe River Basin in the upstream and the Daman/Yingke irrigation districts in the middle stream of the Heihe River basin are integrated and communicated to the data center through the wireless transferring technique. An automatic, intelligent, and remotecontrollable ecohydrological wireless sensor network is established. Meanwhile, relevant researches about optimal spatial sampling strategy of the wireless sensor network nodes have been carried out to capture the spatialtemporal dynamics and spatial variations of the key ecohydrological parameters in the heterogeneity land or at remote sensing pixel scale. As a result, it is anticipated to improve the integrated, standardized and automated observation capability for the hydrological and ecological processes research at the basin scale.

Key words: Wireless sensor network, Heihe River Basin, Eco-hydrology process, Validation of remote sensing retrievals.

中图分类号:

P334

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