[1]WANG Jie,LI Peng,GAO Haidong,et al.Preliminary Study on the Relationship Between Land Use/Landscape Index and Water Quality in the Upper Reaches of Danjiang River[J].Research of Soil and Water Conservation,2018,25(06):383-389.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
25
Number of periods:
2018 06
Page number:
383-389
Column:
Public date:
2018-10-26
- Title:
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Preliminary Study on the Relationship Between Land Use/Landscape Index and Water Quality in the Upper Reaches of Danjiang River
- Author(s):
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WANG Jie, LI Peng, GAO Haidong, SHI Peng, ZHANG Qinling, YANG Qiannan, MA Yongyong
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State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an 710048, China
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- Keywords:
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land use; landscape index; redundancy analysis; water quality
- CLC:
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F301.24;R123;X144
- DOI:
-
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- Abstract:
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Based on the analysis on the technology of GIS and landscape, and a long series of water quality data, we used correlation analysis and redundancy analysis to study the relationship between land use and water quality in the upper reaches of the Danjiang River, discuss the relationship between the landscape index and water quality index. The results showed that: (1) in 2000—2013, cropland area decreased, woodland and building land area increased; cropland was the most unstable land use type, most of which was converted into woodland and grassland; the landscape diversity and aggregation degree increased gradually, and the watershed landscape pattern tended to be regular, highly connected and highly aggregated; (2) the effects of cropland and woodland on water quality was significant, and the proportion of cropland area was positively correlated with NO3--N, and negatively correlated with DO; proportion of woodland area was a significant negatively correlated with BOD5 and CODMn; (3) with respect to the correlation between the landscape index and the water quality index, SHDI, LPI, LSI and COHESION could be used as landscape and environmental indicators on landscape scale to predict water quality change, SHDI was negatively correlated with CODMn and BOD5; LPI was positively correlated with BOD5 and CODMn; LSI was negatively correlated with DO, and positively correlated with NO3--N; COHESION was positively correlated with BOD5 and CODMn. The relationship between plaque density and spread index and water quality can not be well described.