Literature DB >> 10085386

Relationships Between Landscape Characteristics and Nonpoint Source Pollution Inputs to Coastal Estuaries.

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Abstract

/ Land-use activities affect water quality by altering sediment, chemical loads, and watershed hydrology. Some land uses may contribute to the maintenance of water quality due to a biogeochemical transformation process. These land-use/land-cover types can serve as nutrient detention zones or as nutrient transformation zones as dissolved or suspended nutrients or sediments move downstream. Despite research on the effects of individual land-use/land-cover types, very little has been done to analyze the joint contributions of multiple land-use activities. This paper examines a methodology to assess the relationships between land-use complex and nitrate and sediment concentrations [nonpoint source (NPS) pollutants] in streams. In this process, selected basins of the Fish River, Alabama, USA, were delineated, land-use/land-cover types were classified, and contributing zones were identified using geographic information system (GIS) and remote sensing (RS) analysis tools. Water samples collected from these basins were analyzed for selected chemical and physical properties. Based on the contributions of the NPS pollutants, a linkage model was developed. This linkage model relates land use/land cover with the pollution levels in the stream. Linkage models were constructed and evaluated at three different scales: (1) the basin scale; (2) the contributing-zone scale; and (3) the stream-buffer/riparian-zone scale. The contributing-zones linkage model suggests that forests act as a transformation zone, and as the proportion of forest inside a contributing zone increases (or agricultural land decreases), nitrate levels downstream will decrease. Residential/urban/built-up areas were identified as the strongest contributors of nitrate in the contributing-zones model and active agriculture was identified as the second largest contributor. The regression results for the streambank land-use/land-cover model (stream-buffer/riparian-zone scale) suggest that water quality is highest when passive land uses, such as forests and grasslands, are located adjacent to streams. Nonpassive land uses (agricultural lands or urban/built-up areas) located adjacent to streams have negative impacts on water quality. The model can help in examining the relative sensitivity of water-quality variables to alterations in land use made at varying distances from the stream channel. The model also shows the importance of streamside management zones, which are key to maintenance of stream water quality. The linkage model can be considered a first step in the integration of GIS and ecological models. The model can then be used by local and regional land managers in the formulation of plans for watershed-level management. KEY WORDS: Water quality; Land-use complex; Geographic information system; Nonpoint source pollution; Forested buffers

Entities:  

Year:  1999        PMID: 10085386     DOI: 10.1007/s002679900208

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  18 in total

1.  A watershed-scale model for predicting nonpoint pollution risk in North Carolina.

Authors:  Kevin M Potter; Frederick W Cubbage; Gary B Blank; Rex H Schaberg
Journal:  Environ Manage       Date:  2004-05-13       Impact factor: 3.266

2.  Temporal and spatial relationships between watershed land use and salt marsh disturbance in a pacific estuary.

Authors:  Kristin B Byrd; N Maggi Kelly; Adina M Merenlender
Journal:  Environ Manage       Date:  2006-11-14       Impact factor: 3.266

3.  Regional-scale models for relating land cover to basin surface-water quality using remotely sensed data in a GIS.

Authors:  V L Versace; D Ierodiaconou; F Stagnitti; A J Hamilton; M T Walter; B Mitchell; A-M Boland
Journal:  Environ Monit Assess       Date:  2007-09-14       Impact factor: 2.513

4.  Relationship between landscape characteristics and surface water quality.

Authors:  C L Chang; W H Kuan; P S Lui; C Y Hu
Journal:  Environ Monit Assess       Date:  2008-01-11       Impact factor: 2.513

5.  Monitoring land use/land cover changes using CORINE land cover data: a case study of Silivri coastal zone in Metropolitan Istanbul.

Authors:  Rüya Yilmaz
Journal:  Environ Monit Assess       Date:  2009-06-03       Impact factor: 2.513

6.  Framework and tools for agricultural landscape assessment relating to water quality protection.

Authors:  Chantal Gascuel-Odoux; Florence Massa; Patrick Durand; Philippe Merot; Olivier Troccaz; Jacques Baudry; Claudine Thenail
Journal:  Environ Manage       Date:  2009-02-14       Impact factor: 3.266

7.  Spatial and temporal variations in non-point source losses of nitrogen and phosphorus in a small agricultural catchment in the Three Gorges Region.

Authors:  Chenglong Chen; Ming Gao; Deti Xie; Jiupai Ni
Journal:  Environ Monit Assess       Date:  2016-04       Impact factor: 2.513

8.  Long-term effects of changing land use practices on surface water quality in a coastal river and lagoonal estuary.

Authors:  Meghan B Rothenberger; JoAnn M Burkholder; Cavell Brownie
Journal:  Environ Manage       Date:  2009-07-14       Impact factor: 3.266

9.  Land use, climate and transport of nutrients: evidence emerging from the Lake Vico Case Study [corrected].

Authors:  F Recanatesi; M N Ripa; A Leone; Luigi Perini; Perini Luigi; Luca Salvati; Salvati Luca
Journal:  Environ Manage       Date:  2013-05-17       Impact factor: 3.266

10.  A water quality monitoring network design using fuzzy theory and multiple criteria analysis.

Authors:  Chia-Ling Chang; You-Tze Lin
Journal:  Environ Monit Assess       Date:  2014-06-29       Impact factor: 2.513

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