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Relationship Between Spatial Variation of Nitrogen and Phosphorus in Water and Landscape Pattern in Yuqiao Reservoir Basin, Tianjin |
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KeyWord:landscape pattern; Yuqiao Reservoir Basin; nitrogen; phosphorus; correlation analysis |
Author Name | Affiliation | BAO Shan-shan | College of Urban and Environmental Science,Tianjin Normal University,Tianjin 300387,China | LI Chong-wei | College of Urban and Environmental Science,Tianjin Normal University,Tianjin 300387,China | WANG Zu-wei | College of Urban and Environmental Science,Tianjin Normal University,Tianjin 300387,China | CHEN Ping | College of Urban and Environmental Science,Tianjin Normal University,Tianjin 300387,China | GUO Ji-fa | College of Urban and Environmental Science,Tianjin Normal University,Tianjin 300387,China |
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Abstract: |
Water quality is often influenced by landscape patterns in a basin. Here we collected water samples from 24 locations in Yuqiao Reservoir Basin, Tianjin, and analyzed the spatial heterogeneity of nitrogen and phosphorus in water using cluster analysis and explored its relationship with landscape spatial patterns. Spatially, these sampling points were divided into 3 groups:Group A, highly polluted sites where water quality was mostly influenced by partially industrial effluents and domestic wastewater; Group B, moderately polluted sites where water quality was mainly affected by soil erosion from orchards due to the slope; and Group C, relatively less polluted sites where the terrain is low and there was little human impact. The percentage of cropland area was positively correlated with TN, PO3-4-P and DTP, while that of construction area was positively correlated with DTP, TN, NH-N and PO3-4-P. The proportion of garden area was positively correlated with TN and NH+4-N. However, the ratio of woodland area was negatively correlated with NH+4-N(r=-0.459). At class-level, landscape indices-number of patches(NP), patch density(PD) and landscape shape index(LSI) were all positively correlated with water phosphorus. Landscape indices were good indicators of water and soil erosion. Our results show that greater fragmentation, larger diversity and more scattered distribution of landscape would cause more nutrient losses. |
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