Land use impacts on surface water quality by statistical approaches
Surface waters are the most important economic resource for humans which provide water for agricultural, industrial and anthropogenic activities. Surface water quality plays vital role in protecting aquatic ecosystems. Unplanned urbanization, intense agricultural activities and deforestation are pos...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
GJESM Publisher
2018-04-01
|
| Series: | Global Journal of Environmental Science and Management |
| Subjects: | |
| Online Access: | http://www.gjesm.net/article_29934_308ed81e6c066f5e80a10020aa0b8012.pdf |
| _version_ | 1819275262317035520 |
|---|---|
| author | K. Afed Ullah J. Jiang P. Wang |
| author_facet | K. Afed Ullah J. Jiang P. Wang |
| author_sort | K. Afed Ullah |
| collection | DOAJ |
| description | Surface waters are the most important economic resource for humans which provide water for agricultural, industrial and anthropogenic activities. Surface water quality plays vital role in protecting aquatic ecosystems. Unplanned urbanization, intense agricultural activities and deforestation are positively associated with carbon, nitrogen and phosphorous related water quality parameters. Multiple buffers give robust land use land cover and water quality model and highlight the impacts of land use land cover characteristics on water quality parameters at various scales which will guide watershed managers for particular application of best management practices to enhance stream health. Traditionally, water quality data collections are based on discrete sampling and were analyzed through statistical techniques which were designed for spatially isolated measurements. Traditional multivariate statistical approaches uncover hidden information in water quality data but they are unable to expose spatial relationship. The complexity of information in water quality data needs new statistical approaches which uncover spatiotemporal variability. This review briefly discusses influences of land use land cover characteristics on surface water quality, effects of spatial scale on land use land cover- water quality relationship, and water quality modeling using various statistical approaches. Every statistical method has unique purpose, application and solves different problems. This review article pinpoints that how statistical approaches in combination with spatial scale can be applied to develop statistically significant land use land cover- water quality relationship for better water quality evaluation. |
| first_indexed | 2024-12-23T23:21:32Z |
| format | Article |
| id | doaj.art-d99ba356b2054347be6154a17a62c0ea |
| institution | Directory Open Access Journal |
| issn | 2383-3572 2383-3866 |
| language | English |
| last_indexed | 2024-12-23T23:21:32Z |
| publishDate | 2018-04-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj.art-d99ba356b2054347be6154a17a62c0ea2022-12-21T17:26:20ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662018-04-014223125010.22034/gjesm.2018.04.02.01029934Land use impacts on surface water quality by statistical approachesK. Afed Ullah0J. Jiang1P. Wang2School of Environment, Harbin Institute of Technology, Harbin, China|Department of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar, PakistanSchool of Environment, Harbin Institute of Technology, Harbin, China|School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, ChinaSchool of Environment, Harbin Institute of Technology, Harbin, ChinaSurface waters are the most important economic resource for humans which provide water for agricultural, industrial and anthropogenic activities. Surface water quality plays vital role in protecting aquatic ecosystems. Unplanned urbanization, intense agricultural activities and deforestation are positively associated with carbon, nitrogen and phosphorous related water quality parameters. Multiple buffers give robust land use land cover and water quality model and highlight the impacts of land use land cover characteristics on water quality parameters at various scales which will guide watershed managers for particular application of best management practices to enhance stream health. Traditionally, water quality data collections are based on discrete sampling and were analyzed through statistical techniques which were designed for spatially isolated measurements. Traditional multivariate statistical approaches uncover hidden information in water quality data but they are unable to expose spatial relationship. The complexity of information in water quality data needs new statistical approaches which uncover spatiotemporal variability. This review briefly discusses influences of land use land cover characteristics on surface water quality, effects of spatial scale on land use land cover- water quality relationship, and water quality modeling using various statistical approaches. Every statistical method has unique purpose, application and solves different problems. This review article pinpoints that how statistical approaches in combination with spatial scale can be applied to develop statistically significant land use land cover- water quality relationship for better water quality evaluation.http://www.gjesm.net/article_29934_308ed81e6c066f5e80a10020aa0b8012.pdfAgricultural activitiesLand use land cover (LULC)Statistical approachUrbanizationWater quality |
| spellingShingle | K. Afed Ullah J. Jiang P. Wang Land use impacts on surface water quality by statistical approaches Global Journal of Environmental Science and Management Agricultural activities Land use land cover (LULC) Statistical approach Urbanization Water quality |
| title | Land use impacts on surface water quality by statistical approaches |
| title_full | Land use impacts on surface water quality by statistical approaches |
| title_fullStr | Land use impacts on surface water quality by statistical approaches |
| title_full_unstemmed | Land use impacts on surface water quality by statistical approaches |
| title_short | Land use impacts on surface water quality by statistical approaches |
| title_sort | land use impacts on surface water quality by statistical approaches |
| topic | Agricultural activities Land use land cover (LULC) Statistical approach Urbanization Water quality |
| url | http://www.gjesm.net/article_29934_308ed81e6c066f5e80a10020aa0b8012.pdf |
| work_keys_str_mv | AT kafedullah landuseimpactsonsurfacewaterqualitybystatisticalapproaches AT jjiang landuseimpactsonsurfacewaterqualitybystatisticalapproaches AT pwang landuseimpactsonsurfacewaterqualitybystatisticalapproaches |