предыдущий|следующий

SWOT卫星对青海湖的水位监测潜力研究

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

  • Email：jhxiong@whu.edu.cn
  • Introduction：熊景华，研究方向为遥感水文。E-mail： jhxiong@whu.edu.cn
XIONG Jinghua1,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

  • Email：slguo@whu.edu.cn
  • Introduction：郭生练，研究方向为水文学及水资源学。E-mail： slguo@whu.edu.cn
GUO Shenglian1*,  
  • Affiliation：

    School of Environmental Science & Engineering, Southern University of Science and Technology, Shenzhen 518055, China

JIANG Liguang2,  
  • Affiliation：

    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

YIN Jiabo1,  
  • Affiliation：

    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

WANG Jun1

реферат

Изменения уровней воды в озерах в Тибетском нагорье являются важным показателем изменений глобального климата. При ограниченности реальных данных и ограничениях во времени и пространстве существующих космических спутников новое поколение спутников SWOT (Surface Water and Ocean Topography), основанное на радиолокационной интерферометрии, может предоставить высокоточные пространственно-временные данные об уровнях воды внутренних вод на всей планете и является мощным дополнением к традиционным формам наблюдения. Исследование потенциала мониторинга перед запуском спутника имеет важное значение. На примере озера Цинхай, крупнейшего озера в Тибетском нагорье, с использованием гидрологического симулятора CNES SWOT, были промоделированы последовательности уровней воды, аналогичные последовательностям SWOT c 2010 по 2018 год. Путем использования измеренных уровней воды, оптических уровней воды и радиолокационных уровней вод в качестве ведущего фактора симулятора SWOT, была оценена чувствительность точности моделирования симулятора SWOT при различных сценариях входных данных и ее производительность на нескольких масштабах. Результаты показывают, что аналогичные уровни воды SWOT могут улавливать изменения уровней воды озера Цинхай на сезонном и годовом уровнях в оставшихся сценариях данных, при этом коэффициенты корреляции и коэффициенты эффективности Наша меняются от 0.9 до 1.0 и от 0.8 до 0.99 соответственно, а также способны хорошо отслеживать долгосрочные тенденции изменения уровней воды озера Цинхай. У SWOT есть огромный потенциал для мониторинга динамики уровней воды группы озер Тибетского нагорья и может эффективно отслеживать изменения уровней воды в озерах.

ключеви́че слова́

SWOT;Qinghai-Tibetan Plateau;Qinghai Lake;water level monitoring;remote sensing;altimetry

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