干旱区研究

干旱区研究 >

2024 , Vol. 41 >Issue 11: 1831 - 1841

DOI: https://doi.org/10.13866/j.azr.2024.11.04

水土资源

梨园河流域景观格局对地表水质的影响

  • 王昱 ,
  • 李能安 ,
  • 雒天峰 ,
  • 张英 ,
  • 袁兴鹏 ,
  • 田苗 ,
  • 信雅玲 ,
  • 胡飞燕
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  • 1.兰州理工大学能源与动力工程学院，甘肃 兰州 730050
    2.甘肃省生物质能与太阳能互补供能系统重点实验室，甘肃 兰州 730050
    3.甘肃省水利厅水利工程建设造价与规费管理中心，甘肃 兰州 730046
    4.甘肃省水环境监测中心，甘肃 兰州 730000
王昱（1979-），男，教授，博士，主要从事河流水生态与水环境研究. E-mail: wangyu-mike@163.com
雒天峰. E-mail: ltf871@163.com

收稿日期: 2024-08-07

  修回日期: 2024-09-11

  网络出版日期: 2024-11-29

基金资助

国家自然科学基金项目(52169015);甘肃省重点研发计划(23YFFA0020);甘肃省2023年水利科研与技术推广项目(23GSLK032)

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Impacts of landscape patterns on surface water quality in the Liyuan River Basin

  • WANG Yu ,
  • LI Neng’an ,
  • LUO Tianfeng ,
  • ZHANG Ying ,
  • YUAN Xingpeng ,
  • TIAN Miao ,
  • XIN Yaling ,
  • HU Feiyan
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  • 1. School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu, China
    2. Key Laboratory of Biomass Energy and Solar Energy Complementary Energy Supply System of Gansu Province, Lanzhou 730050, Gansu, China
    3. Water Conservancy Project Construction Cost and Fee Management Center, Gansu Provincial Water Conservancy Department, Lanzhou 730046, Gansu, China
    4. Gansu Provincial Water Environment Monitoring Centre, Lanzhou 730000, Gansu, China

Received date: 2024-08-07

  Revised date: 2024-09-11

  Online published: 2024-11-29

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摘要

研究景观格局对内陆河水质的影响程度和机制对于干旱区内陆河流域水环境保护具有重要意义。本文以临泽县梨园河为研究对象，基于景观格局数据及实测水质数据，采用冗余分析和相关性分析探究了不同缓冲区下景观格局与水质之间的关系。结果显示：研究区水体总体符合Ⅱ类水质标准，除化学需氧量（CODCr）浓度均值处于Ⅲ类水质标准，溶解氧（DO）、总磷（TP）、高锰酸盐指数（CODMn）和氨氮（NH3-N）浓度均值满足Ⅱ类水质标准；缓冲区景观组成均以耕地为主，建设用地次之；对景观指数进行分析发现人类活动在缓冲区内强弱不均，100 m缓冲区内人类干扰程度最大。耕地面积占比与DO、TP、电导率（EC）、溶解性固体（TDS）、TP和盐度呈显著正相关，建设用地与TP和NH3-N呈显著正相关，最大斑块指数（LPI）、蔓延度指数（CONTAG）与水质指标呈正相关，斑块密度（PD）、边缘密度（ED）、景观形状指数（LSI）、香农多样性指数（SHDI）与水质指标呈负相关；冗余分析显示景观构成和景观指数对水质指标变化的解释率均在300 m缓冲区内最高，确定了300 m缓冲区是景观格局对水质指标影响的最佳缓冲区尺度。因此，通过优化300 m缓冲区内景观结构可提升景观对污染物的截留吸附能力，达到改善梨园河流域水质效果。

关键词： 相关性分析; 景观格局; 水质; 梨园河

本文引用格式

王昱 , 李能安 , 雒天峰 , 张英 , 袁兴鹏 , 田苗 , 信雅玲 , 胡飞燕 . 梨园河流域景观格局对地表水质的影响[J]. 干旱区研究, 2024 , 41(11) : 1831 -1841 . DOI: 10.13866/j.azr.2024.11.04

Abstract

Studying the degree and mechanism of landscape pattern’s influence on inland river water quality is of great significance for the water environment protection of inland river basins in arid areas. This study was based on the Liyuan River in Linze County. We studied landscape pattern data and measured water quality, using redundancy and correlation analyses to investigate the relationship between landscape patterns and water quality in different buffer zones. The water bodies in the study area generally met the Class II water quality standard, except for the average value of the chemical oxygen demand (CODCr) concentration, which fell into Class III. Additionally, the average dissolved oxygen (DO), total phosphorus (TP), permanganate index (CODMn), and ammonia nitrogen (NH3-N) concentration values met the Class II water quality standard. The buffer zone’s landscape composition was dominated by arable land, and construction land was the second largest type. Analyzing the landscape index revealed that the strength of human activities was not evenly distributed in the buffer zone, and the degree of human interference was the greatest in the 100 m buffer zone. The human interference degree in the 100 m buffer zone was the greatest. The proportion of cultivated land was significantly and positively correlated with DO, TP, electrical conductivity (EC), dissolved solids (TDS), and salinity, while constructed land was significantly and positively correlated with TP and NH3-N. The largest patch index (LPI) and contagion index (CONTAG) were positively correlated with the water quality indicators, whereas patch density (PD), edge density (ED), landscape shape index (LSI), and Shannon’s diversity index (SHDI) were negatively correlated. Redundancy analysis indicated that the explanatory rate of the changes in the water quality indicators by the composition of the landscape and landscape indices was the highest in the 300 m buffer zone. The analysis indicated that the explanatory rate of landscape composition and index on water quality index changes were the highest in the 300 m buffer zone, and the 300 m buffer zone was determined to be the optimal buffer scale for landscape pattern’s influence on the water quality index. Therefore, optimizing the landscape structure within the 300 m buffer zone to enhance the retention and adsorption capacity of pollutants can improve the water quality of the Liyuan River.

Key words： correlation analysis; landscape pattern; water quality; Liyuan River

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