Literature DB >> 27885617

Assessment of impacts of land use changes on surface water using L-THIA model (case study: Zayandehrud river basin).

M Mirzaei1, E Solgi2, A Salmanmahiny3.   

Abstract

Land use changes in a basin are the most important factors affecting its hydrology and water quality. A hydrological model is an effective tool in assessing the effects of land use change on surface water. In this study, the effects of land use changes in the Zayandehrud basin are estimated using long-term hydrologic impact assessment model. This model is applicable using long-term data on climate, soil hydrological groups, and land use maps. The study covered three land uses across 18 years (from 1997 to 2015), and we used data on 30 years of precipitation (from 1985 to 2015) in the model. The results of modeling revealed that the average runoff volume increased from around 5,765,034 m3 in 1997 to 8,894,525 m3 in 2015. The results also showed an increase in runoff depth. Land use changes over the study period showed an increase of residential areas, bare land, and agricultural lands and a decrease of pasture and forests. The results can be used to make decisions and monitor changes in land use to control the depth and volume of runoff. Using output maps helps in delimitation of the areas that have high runoff average and in implementation of the management plans for controlling the amount of runoff in these areas. Appropriate land use design can decrease impacts of land use changes including hydrologic effects.

Entities:  

Keywords:  Hydrological modeling; L-THIA model; Land use changes; Zayandehrud river basin

Mesh:

Year:  2016        PMID: 27885617     DOI: 10.1007/s10661-016-5705-5

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


  5 in total

1.  Assessing Watershed-Scale, Long-Term Hydrologic Impacts of Land-Use Change Using a GIS-NPS Model.

Authors:  B Bhaduri; J Harbor; B Engel; M Grove
Journal:  Environ Manage       Date:  2000-12       Impact factor: 3.266

2.  Modeling urban growth effects on surface runoff with the integration of remote sensing and GIS.

Authors:  Q Weng
Journal:  Environ Manage       Date:  2001-12       Impact factor: 3.266

3.  A fuzzy knowledge-based decision support system for groundwater pollution risk evaluation.

Authors:  Vito F Uricchio; Raffaele Giordano; Nicola Lopez
Journal:  J Environ Manage       Date:  2004-11       Impact factor: 6.789

4.  Assessing surface water quality and its relation with urban land cover changes in the Lake Calumet area, Greater Chicago.

Authors:  Cyril Wilson; Qihao Weng
Journal:  Environ Manage       Date:  2010-04-04       Impact factor: 3.266

5.  Forecasting land use change and its environmental impact at a watershed scale.

Authors:  Z Tang; B A Engel; B C Pijanowski; K J Lim
Journal:  J Environ Manage       Date:  2005-07       Impact factor: 6.789

  5 in total
  3 in total

1.  Monitoring and assessment of seasonal land cover changes using remote sensing: a 30-year (1987-2016) case study of Hamoun Wetland, Iran.

Authors:  Rasoul Kharazmi; Ali Tavili; Mohammad Reza Rahdari; Lyudmila Chaban; Evgeny Panidi; Jesús Rodrigo-Comino
Journal:  Environ Monit Assess       Date:  2018-05-23       Impact factor: 2.513

2.  The projected impacts of smart decline on urban runoff contamination levels.

Authors:  Rui Zhu; Galen Newman
Journal:  Comput Urban Sci       Date:  2021-03-29

3.  Quantifying the connections-linkages between land-use and water in the Kathmandu Valley, Nepal.

Authors:  Jeffrey C Davids; Martine M Rutten; Ram Devi T Shah; Deep N Shah; Nischal Devkota; Petra Izeboud; Anusha Pandey; Nick van de Giesen
Journal:  Environ Monit Assess       Date:  2018-04-23       Impact factor: 2.513

  3 in total

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