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汕头市练江流域景观格局与水质的关联分析
Correlation Analysis Between Landscape Pattern and Water Quality in the Lianjiang River Watershed in Shantou City
投稿时间:2020-03-27  修订日期:2020-05-27
DOI:10.19316/j.issn.1002-6002.2021.03.16
中文关键词:  景观格局  水质  工业点源  空间尺度  相关分析  练江流域
英文关键词:landscape pattern  water quality  industrial pollution  spatial scale  correlation analysis  the Lianjiang River watershed
基金项目:广东省重点领域研发计划(2019B110205003);中央级公益性科研院所基本科研业务费(PM-zx703-201904-074)
作者单位
胡艳芳 生态环境部华南环境科学研究所, 广东 广州 510655 
范中亚* 生态环境部华南环境科学研究所, 广东 广州 510655 
陈昭婷 生态环境部华南环境科学研究所, 广东 广州 510655 
赵鹏 生态环境部华南环境科学研究所, 广东 广州 510655 
郭静 生态环境部华南环境科学研究所, 广东 广州 510655 
罗千里 生态环境部华南环境科学研究所, 广东 广州 510655 
杨汉杰 生态环境部华南环境科学研究所, 广东 广州 510655 
通讯作者:范中亚*  生态环境部华南环境科学研究所, 广东 广州 510655  
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中文摘要:
      水环境对景观格局的变化极为敏感,水域(湿地)面积、分布格局、水质、水文特征等的变化,与土地变化和人类活动有着密切的关系,明确影响水质变化的关键景观因子,对于深入了解景观格局对水质的影响机制具有重要的研究价值。该研究选择广东省汕头市练江流域为研究对象,以2019年TM卫星影像、水质监测以及工业点源污染数据为基础,利用Spearman秩相关和多元线性回归模型等统计方法综合分析在子流域、河岸带尺度水平上景观格局与水质之间的相关性。研究结果表明:流域和河岸带的城镇比例、景观多样性和破碎度均对水质有较大影响,水质指标受到多个景观指数的综合影响,景观格局指数变化对总磷的解释能力要大于其他水质指标;氨氮、化学需氧量受河岸带尺度的景观格局影响更大,总磷受流域尺度景观格局影响更大;工业点源对景观格局与水质的关联分析有较大影响,剔除重点工业点源污染后的氨氮和化学需氧量与景观格局相关性比剔除重点工业点源污染前更高。
英文摘要:
      The water environment is extremely sensitive to changes in landscape patterns. Changes in area of water (wetland), distribution patterns, water quality, and hydrological characteristics are closely related to landuse changes and human activities. Therefore, identifying the key landscape factors that affect water quality is valuable for studying the mechanism of landscape impact on water quality. In this study,the Lianjiang River watershed in Shantou City, Guangdong Province was selected to examine the correlation between water quality and landscape pattern on watershed scale and riparian scale by using Spearman’s rank correlation analysis and multiple linear regression models based on TM satellite imagery, water quality monitoring and industrial point source pollution data in 2019. The results showed that the water quality indicators were affected by the combined effects of multiple landscape metrics, including the proportion of towns in watershed and riparian zones, landscape diversity, and landscape fragmentation. Landscape metrics had greater impact on total phosphorus than other water indicators. Furthermore, landscape patterns on the riparian scale had greater impact on ammonia nitrogen and chemical oxygen demand while landscape patterns on the watershed scale had greater impact on total phosphorus. Moreover, industrial point source had significant impact on the correlation analysis of landscape patterns and water quality. Water indicators such as ammonia nitrogen and chemical oxygen demand that were deducted by key industrial point source were more closely related to landscape pattern than that without deducting.
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