Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China

被引:3
|
作者
Pei, Liang [1 ,2 ,3 ]
Wang, Chunhui [1 ,3 ]
Zuo, Yiping [4 ]
Liu, Xiaojie [1 ]
Chi, Yanyan [5 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
[3] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[4] Minist Ecol & Environm, Foreign Environm Cooperat Ctr, Beijing 100035, Peoples R China
[5] Chinese Acad Environm Planning, Beijing 100102, Peoples R China
关键词
water quality; land use; self-organizing map; redundancy analysis; POINT-SOURCE POLLUTION; GROUNDWATER QUALITY; SPATIAL VARIATIONS; LANDSCAPE PATTERN; HEAVY-METALS; INDEX; CLASSIFICATION; INDICATORS; EVOLUTION; SEDIMENTS;
D O I
10.3390/ijerph191710946
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Yellow River is one of the most important water sources in China, and its surrounding land use affected by human activities is an important factor in water quality pollution. To understand the impact of land use types on water quality in the Sanmenxia section of the Yellow River, the water quality index (WQI) was used to evaluate the water quality. A self-organizing map (SOM) was used for clustering analysis of water quality indicators, and the relationship between surface water quality and land use types was further analyzed by redundancy analysis (RDA). The results showed that WQI values ranged from 82.60 to 507.27, and the highest value was the sampling site S3, whose water quality grade was "Likely not suitable for drinking", mainly polluted by agricultural non-point sources ammonia nitrogen pollution. SOM clustered the sampling sites into 4 groups according to the water quality indicators, the main influencing factors for different groups were analyzed and explored in more depth in relation to land use types, suggesting that surface water quality was significantly connected with the proportion of land use types at the watershed scale in the interpretation of water quality change. The negative impact of cropland on surface water quality was greater than that of other land use types, and vegetation showed a greater positive impact on surface water quality than other land uses. The results provide evidence for water environment conservation based on land use in the watershed.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Characterizing effects of landscape and morphometric factors on water quality of reservoirs using a self-organizing map
    Park, Young-Seuk
    Kwon, Yong-Su
    Hwang, Soon-Jin
    Park, Sangkyu
    ENVIRONMENTAL MODELLING & SOFTWARE, 2014, 55 : 214 - 221
  • [32] Patterns and trends in land-use land-cover change research explored using self-organizing map
    Wang, Yi-Chen
    Feng, Chen-Chieh
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (13) : 3765 - 3790
  • [33] Study on the Water Quality Characteristics of the Baoan Lake Basin in China under Different Land Use and Landscape Pattern Distributions
    Ren, Weixiang
    Wu, Xiaodong
    Ge, Xuguang
    Lin, Guiying
    Feng, Lian
    Ma, Wanqing
    Xu, Dan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (10)
  • [34] Relating land use and land cover to surface water quality in the Densu River basin, Ghana
    Attua, Emmanuel M.
    Ayamga, Jennifer
    Pabi, Opoku
    INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT, 2014, 12 (01) : 57 - 68
  • [35] Spatial characteristics of surface water quality in the Haicheng River (Liao River basin) in Northeast China
    Bu, Hongmei
    Wan, Jun
    Zhang, Yuan
    Meng, Wei
    ENVIRONMENTAL EARTH SCIENCES, 2013, 70 (06) : 2865 - 2872
  • [36] Evaluation of the difference in water quality between urban and suburban rivers based on self-organizing map
    Yaqi Jiang
    Herong Gui
    Chen Li
    Jiayu Chen
    Chen Chen
    Chunlei wang
    Honghai Zhao
    Yan Guo
    Jiying Xu
    Jun Li
    Huili Qiu
    Acta Geophysica, 2021, 69 : 1855 - 1864
  • [37] Surface water quality assessment using self-organizing maps and Hasse diagram technique
    Voyslavov, Tsvetomil
    Tsakovski, Stefan
    Simeonov, Vasil
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2012, 118 : 280 - 286
  • [38] Regional Groundwater Water Quality Assessment and Contamination Source Identification by a Self-Organizing Map and Entropy Method in Pinggu Basin, Northeast Beijing
    Lv, Shaojie
    Zhang, Zongwen
    Sun, Ning
    Shi, Zheming
    Li, Jia
    Qu, Shen
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [39] Assessment of water quality classes using self-organizing map and fuzzy C-means clustering methods in Ergene River, Turkey
    Ersin Orak
    Atilla Akkoyunlu
    Zehra Semra Can
    Environmental Monitoring and Assessment, 2020, 192
  • [40] Assessment of water quality classes using self-organizing map and fuzzy C-means clustering methods in Ergene River, Turkey
    Orak, Ersin
    Akkoyunlu, Atilla
    Can, Zehra Semra
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2020, 192 (10)