收藏切换
Classification Analysis of Temporal and Spatial Variations of Surface Water Bodies in the Songhua River Basin
收藏切换
PDF
Teng SUN1a, 1b, Chang-lei DAI1a, 1b, Ya-ping SUN2, Da KONG1a, 1b
Water Resources and Power | 2025, 43(9) : 25 - 28
Less
收藏切换
Water Resources and Power | 2025, 43(9): 25-28
Classification Analysis of Temporal and Spatial Variations of Surface Water Bodies in the Songhua River Basin
Full
Teng SUN1a, 1b, Chang-lei DAI1a, 1b, Ya-ping SUN2, Da KONG1a, 1b
Affiliations
  • 1a.School of Water Conservancy and Electric Power, Heilongjiang University, Harbin 150080, China
  • 1b.International Joint Laboratory of Hydrology and Hydraulic Engineering in Cold Regions of Heilongjiang Province (International Cooperation), Heilongjiang University, Harbin 150080, China
  • 2.College of Agriculture and Water Conservancy Engineering, Suihua University, Suihua 152061, China
Published: 2025-09-25 doi: 10.20040/j.cnki.1000-7709.2025.20250762
Outline
收藏切换

Under the background of frequent extreme climate events, analyzing the spatio-temporal changes of surface water bodies in the Songhua River Basin affected by climate change over the past 30 years is of great significance for the region to take and optimize climate response measures in advance. Based on the spatio-temporal dynamic changes of surface water area in the Songhua River Basin from 1990 to 2020, seasonal water bodies were classified and analyzed. By using the EC JRC global surface water product dataset and combining with MATLAB software, the time series feature +K-means clustering and dynamic statistical threshold method were adopted to analyze the changing trend of surface water area in the Songhua River Basin in the past 30 years, and to classify the seasonal water body area as well as detect and analyze the recovery dynamics of extreme hydrological years. The results show that during the study period, the seasonal water body area in the Songhua River Basin increased by 114%, while the permanent water body area decreased by 49.46%, and the total surface water area showed an upward trend. The annual seasonal water body area was classified into three categories: fluctuating-wet year, low fluctuation - dry year, and stable - normal year, with a silhouette coefficient of 0.549, indicating a good clustering effect. Two significant high-value years, 1998 and 2013, were identified, and it was analyzed that neither had fully recovered. The research results provide a direction for the effective management and protection of water resources by referring to historical extreme hydrological events and making flood and drought prevention preparations in advance for the Songhua River Basin in the face of future extreme weather.

surface water area  /  seasonal water body  /  temporal feature +K-means clustering method  /  dynamic statistical threshold method  /  spatio-temporal distribution
Teng SUN, Chang-lei DAI, Ya-ping SUN, Da KONG. Classification Analysis of Temporal and Spatial Variations of Surface Water Bodies in the Songhua River Basin[J]. Water Resources and Power, 2025 , 43 (9) : 25 -28 . DOI: 10.20040/j.cnki.1000-7709.2025.20250762
Year 2025 volume 43 Issue 9
PDF
173
65
Cite this Article
BibTeX
Article Info
doi: 10.20040/j.cnki.1000-7709.2025.20250762
  • Receive Date:2025-04-04
  • Online Date:2025-12-16
  • Published:2025-09-25
Article Data
Affiliations
History
  • Received:2025-04-04
  • Revised:2025-05-11
Funding
Affiliations
    1a.School of Water Conservancy and Electric Power, Heilongjiang University, Harbin 150080, China
    1b.International Joint Laboratory of Hydrology and Hydraulic Engineering in Cold Regions of Heilongjiang Province (International Cooperation), Heilongjiang University, Harbin 150080, China
    2.College of Agriculture and Water Conservancy Engineering, Suihua University, Suihua 152061, China
References
Share
https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2025.20250762
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT