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黑河流域生态—水文过程集成研究进展

  • 傅伯杰 ,
  • 王毅 ,
  • 王彦辉 ,
  • 柳钦火 ,
  • 程国栋 ,
  • 康绍忠 ,
  • 陈宜瑜 ,
  • 张甘霖 ,
  • 肖洪浪 ,
  • 延晓冬 ,
  • 冷疏影 ,
  • 郑元润 ,
  • 肖笃宁 ,
  • 安黎哲 ,
  • 杨大文 ,
  • 邹松兵 ,
  • 郑春苗 ,
  • 李秀彬 ,
  • 李小雁
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  • 1. 国家自然科学基金委员会, 北京 100085;
    2. 中国科学院寒区旱区环境与工程研究所, 甘肃 兰州 730000;
    3. 中国科学院生态环境研究中心, 北京 100085;
    4. 中国科学院沈阳应用生态研究所, 辽宁 沈阳 110016;
    5. 北京大学, 北京 100871;
    6. 中国农业大学, 北京 100083;
    7. 北京师范大学, 北京 100875;
    8. 中国科学院科技政策与管理科学研究所, 北京 100190;
    9. 兰州大学, 甘肃 兰州 730000;
    10. 中国科学院地理科学与资源研究所, 北京 100101;
    11. 中国林业科学研究院, 北京 100091;
    12. 清华大学, 北京 100083;
    13. 中国科学院南京土壤研究所, 江苏 南京 210008;
    14. 中国科学院植物研究所, 北京 100093;
    15. 中国科学院遥感与数字地球研究所, 北京 100101
程国栋(1943-), 男, 上海人, 中国科学院院士, 主要从事从事青藏高原冻土研究.

收稿日期: 2014-03-11

  网络出版日期: 2014-04-10

基金资助

国家自然科学基金重大研究计划“黑河流域生态—水文过程集成研究”重点项目“荒漠植物大气水汽利用机制及适应机理研究”(编号:91125025)资助.

Advances in Synthetic Research on the Eco-hydrological Process of the Heihe River Basin

  • Fu Bojie ,
  • Wang Yi ,
  • Wang Yanhui ,
  • Liu Qinhuo ,
  • Cheng Guodong ,
  • Kang Shaozhong ,
  • Chen Yiyu ,
  • Zhang Ganlin ,
  • Xiao Honglang ,
  • Yan Xiaodong ,
  • Leng Shuying ,
  • Zheng Yuanrun ,
  • Xiao Duning ,
  • An Lizhe ,
  • Yang Dawen ,
  • Zou Songbing ,
  • Zheng Chunmiao ,
  • Li Xiubin ,
  • Li Xiaoyan
Expand
  • 1. National Natural Science Foundation of China, Beijing 100085, China;
    2. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
    3. Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;
    4. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;5. Peking University, Beijing 100871, China;
    6. China Agricultural University, Beijing 100083, China;
    7. Beijing Normal University, Beijing 100875, China;
    8. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;
    9. Lanzhou University, Lanzhou 730000, China;10. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    11. Chinese Academy of Forestry, Beijing 100091, China;
    12. Tsinghua University, Beijing 100083, China;13. Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China;14. Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China;
    15. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Received date: 2014-03-11

  Online published: 2014-04-10

摘要

国家自然科学基金重大研究计划“黑河流域生态—水文过程集成研究”(简称黑河计划)贯穿地球系统科学的思维, 针对我国内陆河地区严峻的水—生态问题, 探索流域尺度提高水效益的理论和方法。计划执行4年来, 建立了遥感—监测—实验一体的流域生态水文观测系统及其相应的数据平台; 初步揭示了流域冰川、森林、绿洲等重要生态水文过程耦合机理, 认识了流域一级生态水文单元的水系统特征, 奠定了流域水循环、水平衡的科学基础; 计算了黑河下游生态需水量, 为黑河流域水资源优化管理厘定了重要的约束条件。今后几年将在高精度气、水、生、经时空数据的支持下, 耦合与集成流域综合模型, 保证我国流域科学能在世界前沿占一席之地。

本文引用格式

傅伯杰 , 王毅 , 王彦辉 , 柳钦火 , 程国栋 , 康绍忠 , 陈宜瑜 , 张甘霖 , 肖洪浪 , 延晓冬 , 冷疏影 , 郑元润 , 肖笃宁 , 安黎哲 , 杨大文 , 邹松兵 , 郑春苗 , 李秀彬 , 李小雁 . 黑河流域生态—水文过程集成研究进展[J]. 地球科学进展, 2014 , 29(4) : 431 -437 . DOI: 10.11867/j.issn.1001-8166.2014.04.0431

Abstract

The National Natural Science Foundation of China has launched a major research program entitled “Integrated Study of Eco-hydrological Processes in the Heihe River Basin” (referred to as “Heihe River Program”). It is grounded on the principles of the earth system science, and intended to explore the theory and methods of improving the water use efficiency in the inland river basins of China affected by severe water shortage and ecological deterioration problems. Since the implementation of the Heihe River Program for the past four years, we have established a basin-wide eco-hydrological observation system integrating remote sensing, monitoring and experimentation; developed a comprehensive database and information system; revealed the important coupling mechanism of eco-hydrological processes including glaciers, forests and oases; gained basic understanding of the system characteristics of eco-hydrological units which serve as the basis for computing the basin water cycle and water balance; and quantified the ecological water demand in the lower reaches of the Heihe River as the important constraints for optimal water resources management in the Heihe River Basin. In the next few years, we will integrate comprehensive watershed models supported by high-resolution spatio-temporal data of air, water, biota and economics towards the goal of playing a world-leading role in river science.

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