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Temperature Contributes More than Precipitation to Runoff in the High Mountains of Northwest China

  • Mengtian Fan*
  • , Jianhua Xu
  • , Yaning Chen
  • , Meihui Fan
  • , Wenzheng Yu
  • , Weihong Li
  • *Corresponding author for this work
  • Nanjing University of Information Science & Technology
  • CAS - Xinjiang Institute of Ecology and Geography
  • Dezhou University

Research output: Contribution to journalArticlepeer-review

Abstract

In alpine areas in Northwest China, such as the Tianshan Mountains, the lack of climate data (because of scarce meteorological stations) makes it difficult to assess the impact of climate change on runoff. The main contribution of this study was to develop an integrated method to assess the impact of climate change on runoff in data-scarce high mountains. Based on reanalysis products, this study firstly downscaled climate data using machine learning algorithms, then developed a Batch Gradient Descent Linear Regression to calculate the contributions of temperature and precipitation to runoff. Applying this method to six mountainous basins originating from the Tianshan Mountains, we found that climate changes in high mountains are more significant than in lowlands. In high mountains, the runoff changes are mainly affected by temperature, whereas in lowlands, precipitation contributes more than temperature to runoff. The contributions of precipitation and temperature to runoff changes were 20% and 80%, respectively, in the Kumarik River. The insights gained in this study can guide other studies on climate and hydrology in high mountain basins.

Original languageEnglish
Article number4015
JournalRemote Sensing
Volume14
Issue number16
DOIs
StatePublished - Aug 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • climate downscaling
  • data-scarce mountainous basins
  • quantitative assessment
  • runoff changes

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