Literature DB >> 25124990

Spatial and temporal analysis of land cover changes and water quality in the Lake Issaqueena watershed, South Carolina.

C M Pilgrim1, E A Mikhailova, C J Post, J J Hains.   

Abstract

Monitoring changes in land cover and the subsequent environmental responses are essential for water quality assessment, natural resource planning, management, and policies. Over the last 75 years, the Lake Issaqueena watershed has experienced a drastic shift in land use. This study was conducted to examine the changes in land cover and the implied changes in land use that have occurred and their environmental, water quality impacts. Aerial photography of the watershed (1951, 1956, 1968, 1977, 1989, 1999, 2005, 2006, and 2009) was analyzed and classified using the geographic information system (GIS) software. Seven land cover classes were defined: evergreen, deciduous, bare ground, pasture/grassland, cultivated, and residential/other development. Water quality data, including sampling depth, water temperature, dissolved oxygen content, fecal coliform levels, inorganic nitrogen concentrations, and turbidity, were obtained from the South Carolina (SC) Department of Health and Environmental Control (SCDHEC) for two stations and analyzed for trends as they relate to land cover change. From 1951 to 2009, the watershed experienced an increase of tree cover and bare ground (+17.4 % evergreen, +62.3 % deciduous, +9.8 % bare ground) and a decrease of pasture/grassland and cultivated land (-42.6 % pasture/grassland and -57.1 % cultivated). From 2005 to 2009, there was an increase of 21.5 % in residential/other development. Sampling depth ranged from 0.1 to 0.3 m. Water temperature fluctuated corresponding to changing air temperatures, and dissolved oxygen content fluctuated as a factor of water temperature. Inorganic nitrogen content was higher from December to April possibly due to application of fertilizers prior to the growing season. Turbidity and fecal coliform bacteria levels remained relatively the same from 1962 to 2005, but a slight decline in pH can be observed at both stations. Prior to 1938, the area consisted of single-crop cotton farms; after 1938, the farms were abandoned, leaving large bare areas with highly eroded soil. Starting in 1938, Clemson reforested almost 30 % of the watershed. Currently, three fourths of the watershed is forestland, with a limited coverage of small farms and residential developments. Monitoring water quality is essential in maintaining adequate freshwater supply. Water quality monitoring focuses mainly on the collection of field data, but current water quality conditions depend on the cumulative impacts of land cover change over time.

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Year:  2014        PMID: 25124990     DOI: 10.1007/s10661-014-3953-9

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  6 in total

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Authors:  Sebastián Martinuzzi; Stephanie R Januchowski-Hartley; Brenda M Pracheil; Peter B McIntyre; Andrew J Plantinga; David J Lewis; Volker C Radeloff
Journal:  Glob Chang Biol       Date:  2013-10-17       Impact factor: 10.863

2.  Effects of land use types on surface water quality across an anthropogenic disturbance gradient in the upper reach of the Hun River, Northeast China.

Authors:  Ruizhao Wang; Tianle Xu; Lizhong Yu; Jiaojun Zhu; Xiaoyu Li
Journal:  Environ Monit Assess       Date:  2012-09-11       Impact factor: 2.513

3.  Urban stream syndrome in a small, lightly developed watershed: a statistical analysis of water chemistry parameters, land use patterns, and natural sources.

Authors:  Judith A Halstead; Sabrina Kliman; Catherine White Berheide; Alexander Chaucer; Alicea Cock-Esteb
Journal:  Environ Monit Assess       Date:  2014-02-20       Impact factor: 2.513

4.  Remote sensing imageries for land cover and water quality dynamics on the west coast of Korea.

Authors:  Minha Choi; Seungjae Han
Journal:  Environ Monit Assess       Date:  2013-05-19       Impact factor: 2.513

5.  Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960-2005.

Authors:  Ashraf M Dewan; Yasushi Yamaguchi
Journal:  Environ Monit Assess       Date:  2008-03-04       Impact factor: 3.307

6.  Monitoring and Predicting Land-use Changes and the Hydrology of the Urbanized Paochiao Watershed in Taiwan Using Remote Sensing Data, Urban Growth Models and a Hydrological Model.

Authors:  Yu-Pin Lin; Yun-Bin Lin; Yen-Tan Wang; Nien-Ming Hong
Journal:  Sensors (Basel)       Date:  2008-02-04       Impact factor: 3.576

  6 in total
  1 in total

1.  Identifying and Classifying Pollution Hotspots to Guide Watershed Management in a Large Multiuse Watershed.

Authors:  Fangli Su; David Kaplan; Lifeng Li; Haifu Li; Fei Song; Haisheng Liu
Journal:  Int J Environ Res Public Health       Date:  2017-03-03       Impact factor: 3.390

  1 in total

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