Relationship Between Landscape Pattern and Water Quality in the Ebinur Lake Region

被引：5

作者：

Cao C. ^{[1
]}

Zhang F. ^{[1
,2
]}

Yalikun A. ^{[1
]}

Zhu S.-D. ^{[1
,2
]}

Guo M. ^{[1
]}

Talifujiang A. ^{[1
]}

Hsiangte K. ^{[3
]}

机构：

[1] Key Laboratory of Xinjiang Wisdom City and Environment Modeling, College of Resources and Environment Science, Xinjiang University, Urumqi

[2] Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi

[3] Department of Earth Sciences, University of Memphis, Memphis

来源：

Huanjing Kexue/Environmental Science | 2018年 / 39卷 / 04期

关键词：

Ebinur Lake; Landscape pattern; Multiple linear regressions; Spatial scale; Water quality;

D O I：

10.13227/j.hjkx.201704102

中图分类号：

学科分类号：

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), SO4 2-, 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. © 2018, Science Press. All right reserved.

引用

页码：1568 / 1577

页数：9

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