Dynamic Analysis in Surface Water Area and Its Driving Factors in Northeast China from 1988 to 2020

The spatiotemporal changes in surface water area (SWA) in the basins of Northeast China have far-reaching impacts on their economic, agricultural, and social development and ecological sustainability. However, the long-term variation characteristics of water bodies in the Northeast basin and its mai...

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Published in:Water
Main Authors: Wei Shan, Lisha Qiu, Ying Guo, Chengcheng Zhang, Min Ma
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/w14152296
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spelling ftmdpi:oai:mdpi.com:/2073-4441/14/15/2296/ 2023-08-20T04:09:15+02:00 Dynamic Analysis in Surface Water Area and Its Driving Factors in Northeast China from 1988 to 2020 Wei Shan Lisha Qiu Ying Guo Chengcheng Zhang Min Ma agris 2022-07-24 application/pdf https://doi.org/10.3390/w14152296 EN eng Multidisciplinary Digital Publishing Institute Water and Climate Change https://dx.doi.org/10.3390/w14152296 https://creativecommons.org/licenses/by/4.0/ Water; Volume 14; Issue 15; Pages: 2296 surface water area spatiotemporal variation characteristics remote sensing driver factors climate change Northeast China Text 2022 ftmdpi https://doi.org/10.3390/w14152296 2023-08-01T05:49:13Z The spatiotemporal changes in surface water area (SWA) in the basins of Northeast China have far-reaching impacts on their economic, agricultural, and social development and ecological sustainability. However, the long-term variation characteristics of water bodies in the Northeast basin and its main driving factors are still unclear. Based on the global surface water dataset, combined with the Meteorological and Vegetation Normalized Index (NDVI) datasets, this study used linear regression and correlation analysis to investigate the temporal and spatial variation characteristics of surface water in Northeast China and its driving factors from 1988 to 2020. The results show that (1) the seasonal surface water area (SSWA) and permanent surface water area (PSWA) in Northeast China increased at the rates of 58.408 km2/ year and 169.897 km2/ year, respectively, from 1988 to 2020. Taking 2000 as the node, PSWA and SSWA showed a trend of first decreasing and then increasing. (2) Changes in surface water types in each basin have significant space–time differences, and the transition between water bodies is dominated by the addition and reduction of seasonal water bodies. PSWA decreased significantly in western basins such as the Ulagai River Basin, the Otindag Desert, and the Liao River Basin, but increased significantly in the Songhua River Basin. (3) The driving forces of surface water change in different basins are different. Temperature and NDVI play a leading role in the change of SWA in the western arid region; permafrost degradation under the condition of air temperature rise is an indispensable factor affecting SWA change in the Argun River Basin; the eastern basin with a larger surface water area responded more strongly to changes in precipitation and evapotranspiration. Land-use conversion and water conservancy project construction were the main reasons for the increase of SWA in the Songhua River Basin under reduced precipitation. This research provides a reference for the in-depth study of the ... Text permafrost MDPI Open Access Publishing Water 14 15 2296
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic surface water area
spatiotemporal variation characteristics
remote sensing
driver factors
climate change
Northeast China
spellingShingle surface water area
spatiotemporal variation characteristics
remote sensing
driver factors
climate change
Northeast China
Wei Shan
Lisha Qiu
Ying Guo
Chengcheng Zhang
Min Ma
Dynamic Analysis in Surface Water Area and Its Driving Factors in Northeast China from 1988 to 2020
topic_facet surface water area
spatiotemporal variation characteristics
remote sensing
driver factors
climate change
Northeast China
description The spatiotemporal changes in surface water area (SWA) in the basins of Northeast China have far-reaching impacts on their economic, agricultural, and social development and ecological sustainability. However, the long-term variation characteristics of water bodies in the Northeast basin and its main driving factors are still unclear. Based on the global surface water dataset, combined with the Meteorological and Vegetation Normalized Index (NDVI) datasets, this study used linear regression and correlation analysis to investigate the temporal and spatial variation characteristics of surface water in Northeast China and its driving factors from 1988 to 2020. The results show that (1) the seasonal surface water area (SSWA) and permanent surface water area (PSWA) in Northeast China increased at the rates of 58.408 km2/ year and 169.897 km2/ year, respectively, from 1988 to 2020. Taking 2000 as the node, PSWA and SSWA showed a trend of first decreasing and then increasing. (2) Changes in surface water types in each basin have significant space–time differences, and the transition between water bodies is dominated by the addition and reduction of seasonal water bodies. PSWA decreased significantly in western basins such as the Ulagai River Basin, the Otindag Desert, and the Liao River Basin, but increased significantly in the Songhua River Basin. (3) The driving forces of surface water change in different basins are different. Temperature and NDVI play a leading role in the change of SWA in the western arid region; permafrost degradation under the condition of air temperature rise is an indispensable factor affecting SWA change in the Argun River Basin; the eastern basin with a larger surface water area responded more strongly to changes in precipitation and evapotranspiration. Land-use conversion and water conservancy project construction were the main reasons for the increase of SWA in the Songhua River Basin under reduced precipitation. This research provides a reference for the in-depth study of the ...
format Text
author Wei Shan
Lisha Qiu
Ying Guo
Chengcheng Zhang
Min Ma
author_facet Wei Shan
Lisha Qiu
Ying Guo
Chengcheng Zhang
Min Ma
author_sort Wei Shan
title Dynamic Analysis in Surface Water Area and Its Driving Factors in Northeast China from 1988 to 2020
title_short Dynamic Analysis in Surface Water Area and Its Driving Factors in Northeast China from 1988 to 2020
title_full Dynamic Analysis in Surface Water Area and Its Driving Factors in Northeast China from 1988 to 2020
title_fullStr Dynamic Analysis in Surface Water Area and Its Driving Factors in Northeast China from 1988 to 2020
title_full_unstemmed Dynamic Analysis in Surface Water Area and Its Driving Factors in Northeast China from 1988 to 2020
title_sort dynamic analysis in surface water area and its driving factors in northeast china from 1988 to 2020
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/w14152296
op_coverage agris
genre permafrost
genre_facet permafrost
op_source Water; Volume 14; Issue 15; Pages: 2296
op_relation Water and Climate Change
https://dx.doi.org/10.3390/w14152296
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/w14152296
container_title Water
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