| 艾比湖区域景观格局与河流水质关系探讨 |
| 摘要点击 2684 全文点击 820 投稿时间：2017-04-11 修订日期：2017-10-16 |
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| 中文关键词 艾比湖 景观格局 空间尺度 水质 多元线性回归 |
| 英文关键词 Ebinur Lake landscape pattern spatial scale water quality multiple linear regressions |
| 作者 | 单位 | E-mail | | 曹灿 | 新疆大学资源与环境科学学院, 智慧城市与环境建模普通高校重点实验室, 乌鲁木齐 830046 | m13677624207@163.com | | 张飞 | 新疆大学资源与环境科学学院, 智慧城市与环境建模普通高校重点实验室, 乌鲁木齐 830046
新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046 | zhangfei3s@163.com | | 阿依尼格尔·亚力坤 | 新疆大学资源与环境科学学院, 智慧城市与环境建模普通高校重点实验室, 乌鲁木齐 830046 | | | 朱世丹 | 新疆大学资源与环境科学学院, 智慧城市与环境建模普通高校重点实验室, 乌鲁木齐 830046
新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046 | | | 郭苗 | 新疆大学资源与环境科学学院, 智慧城市与环境建模普通高校重点实验室, 乌鲁木齐 830046 | | | 阿丽米热·塔力甫江 | 新疆大学资源与环境科学学院, 智慧城市与环境建模普通高校重点实验室, 乌鲁木齐 830046 | | | Kung Hsiangte | 美国孟菲斯大学地球科学系, 孟菲斯 38152, 美国 | |
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| 中文摘要 |
| 为进一步明确景观格局对河流水质的影响.本研究选择新疆艾比湖区域为研究对象，以28个水质采样点为中心，建立100、200、300、400 m的河流缓冲区，并提取土地利用/覆被-景观格局数据.首先，通过主成分分析获得水环境的主要水质变量.其次，利用多元线性回归探讨研究区不同宽度缓冲区土地利用/覆被-景观格局变化对河流水质的影响，获得水质管理的有效缓冲区.结果表明：①2015年5月，在艾比湖区域测得的18个地表水水质指标中提取TDS、SO42-、NH4+-N、HCO3-、Na+和TP这6个水质指标.②对斑块密度（PD）、最大斑块指数（LPI）、边缘密度（ED）、景观形状指数（LSI）、蔓延度指数（CONTAG）进行统计分析，发现人类活动在4个缓冲区内强弱不均.③本文在不同尺度的缓冲区下，将PD、LPI、ED、LSI、CONTAG和TDS、SO42-、NH4+-N、HCO3-、Na+、TP分别进行相关性分析，发现300m缓冲区相关性最为显著.④在300m缓冲区内，通过多元线性回归分析，将TDS、HCO3-与其各自对应的景观指数的关系进行定量化表达，进一步探明区域流域地表水与周围一定缓冲区范围内的景观格局的内在关系. |
| 英文摘要 |
| To understand the effects of regional landscape patterns on water quality of rivers, we selected the Ebinur Lake area in Xinjiang as the research site. We selected and used eighteen water quality sampling points as the center, established the buffer areas based on four ranges, and extracted the land use/cover data. Firstly, the major water quality of the water collected from the Ebinar Lake area was analyzed by principal component analysis. Secondly, the effects of land use/cover on the water quality of river/lake were studied using multivariate linear analysis. Following results were obtained:① according to the six principal component analysis and eighteen surface water quality parameters collected on May 18, 2015, the coefficients were closely related. The identified water quality parameters were:total dissolved solids(TDS), SO42-, HCO3-, NH4+-N, Na+, and total phosphorus(TP); ② according to the five landscape indices, i.e. Patch Density (PD), Largest Patch Index (LPI), Edge Density (ED), Landscape Shape Index (LSI), and Contagion Index (CONTAG) in four different ranges (100 meters, 200 meters, 300 meters, and 400 meters), human activities and their impacts were uneven in the four buffer areas; ③ PD, LSI, and CONTAG showed strong positive correlations with NH4+-N, HCO3-, and TDS, PD showed strong positive correlations with NH4+-N and HCO3-, while LPI showed strong positive correlation with TDS only, in the 300m buffer area.④ in the 300 m buffer area, the relationships between TDS and HCO3- and their respective landscape indices were quantified by multiple linear regression analysis. The relationships between the surface water quality parameters and land uses/land covers were proved to be significant. |
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