Suppr超能文献

基于谷歌地球引擎和元胞自动机-马尔可夫模型的中国四川省黄河流域水资源保护评估与预测

Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov.

作者信息

Yang Zhichong, Dai Xiaoai, Lu Heng, Liu Chao, Nie Ruihua, Zhang Min, Ma Lei, Li Naiwen, Liu Tiegang, He Yuxin, Yang Zhengli, Qu Ge, Li Weile, Wang Youlin

机构信息

College of Earth Science, Chengdu University of Technology, Chengdu 610059, China.

State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China.

出版信息

Heliyon. 2023 Jul 1;9(7):e17903. doi: 10.1016/j.heliyon.2023.e17903. eCollection 2023 Jul.

Abstract

The Yellow River Basin in China has the world's most serious soil erosion problem. The Yellow River Basin in Sichuan Province (YRS), as the upper reaches of the Yellow River, and its water conservation (WC) capacity greatly affects the ecological environment of the downstream basin. In recent years, YRS has received more and more attention, and numerous policies have been developed to improve local WC. However, there is a vacancy in the long-term research of WC in the YRS due to the lack of in-situ data. This study quantitatively evaluated the WC of YRS from 2001 to 2020 through Google Earth Engine (GEE) and analyzed the spatio-temporal variations of WC and land cover (LC). CA-Markov predicted the LC and WC in 2025 under three scenarios to assess the contribution of different scenarios to WC. The WC in YRS fluctuated from 1.93 to 6.77 billion m. The climate is the dominant factor of WC change, but the effect of LC on WC is also evident. The WC capacity increases with vegetation coverage and height. The WC capacity of forests per km exceeds 600 mm, while that of grasslands is about 250 mm, and barren can cause around 300 mm of WC loss. In 2025, the WC in YRS may exceed 7.5 billion m, but the past ecological management mode should be transformed. Improving the quality of land use and converting grasslands to forests is better than reducing cropland to improve WC.

摘要

中国黄河流域存在世界上最严重的水土流失问题。四川省黄河流域(YRS)作为黄河上游,其水源涵养(WC)能力极大地影响着下游流域的生态环境。近年来,YRS受到越来越多的关注,并且已经制定了许多政策来改善当地的水源涵养。然而,由于缺乏实地数据,YRS水源涵养的长期研究存在空白。本研究通过谷歌地球引擎(GEE)对2001年至2020年YRS的水源涵养进行了定量评估,并分析了水源涵养和土地覆盖(LC)的时空变化。CA - 马尔可夫模型预测了三种情景下2025年的土地覆盖和水源涵养,以评估不同情景对水源涵养的贡献。YRS的水源涵养量在19.3亿立方米至67.7亿立方米之间波动。气候是水源涵养变化的主导因素,但土地覆盖对水源涵养的影响也很明显。水源涵养能力随着植被覆盖度和高度的增加而提高。每平方公里森林的水源涵养能力超过600毫米,而草地约为250毫米,裸地会导致约300毫米的水源涵养损失。到2025年,YRS的水源涵养量可能超过75亿立方米,但过去的生态管理模式应进行转变。提高土地利用质量和将草地转为森林比减少耕地对改善水源涵养更有效。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验