Literature DB >> 15854735

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

Z Tang1, B A Engel, B C Pijanowski, K J Lim.   

Abstract

Urban expansion is a major driving force altering local and regional hydrology and increasing non-point source (NPS) pollution. To explore these environmental consequences of urbanization, land use change was forecast, and long-term runoff and NPS pollution were assessed in the Muskegon River watershed, located on the eastern coast of Lake Michigan. A land use change model, LTM, and a web-based environmental impact model, L-THIA, were used in this study. The outcomes indicated the watershed would likely be subjected to impacts from urbanization on runoff and some types of NPS pollution. Urbanization will slightly or considerably increase runoff volume, depending on the development rate, slightly increase nutrient losses in runoff, but significantly increase losses of oil and grease and certain heavy metals in runoff. The spatial variation of urbanization and its impact were also evaluated at the subwatershed scale and showed subwatersheds along the coast of the lake and close to cities would have runoff and nitrogen impact. The results of this study have significant implications for urban planning and decision making in an effort to protect and remediate water and habitat quality of Muskegon Lake, which is one of Lake Michigan's Areas of Concern (AOC), and the techniques described here can be used in other areas.

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Year:  2005        PMID: 15854735     DOI: 10.1016/j.jenvman.2005.01.006

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  23 in total

1.  Stream discharge characteristics through urbanization gradient in Danshui River, Taiwan: perspectives from observation and simulation.

Authors:  Jr-Chuan Huang; Chun-Chiang Lin; Shih-Chien Chan; Tsung-Yu Lee; Shih-Chieh Hsu; Cheing-Tung Lee; Jiun-Chuan Lin
Journal:  Environ Monit Assess       Date:  2011-10-04       Impact factor: 2.513

2.  The impact of future land use scenarios on runoff volumes in the Muskegon River Watershed.

Authors:  Deepak K Ray; Jonah M Duckles; Bryan C Pijanowski
Journal:  Environ Manage       Date:  2010-08-11       Impact factor: 3.266

3.  Influencing factor analysis of phosphorus loads from non-point source: a case study in central China.

Authors:  Yanhua Zhuang; Song Hong; F Benjamin Zhan; Liang Zhang
Journal:  Environ Monit Assess       Date:  2015-10-29       Impact factor: 2.513

4.  Artificial neural network for multifunctional areas.

Authors:  Francesco Riccioli; Toufic El Asmar; Jean-Pierre El Asmar; Claudio Fagarazzi; Leonardo Casini
Journal:  Environ Monit Assess       Date:  2015-12-30       Impact factor: 2.513

5.  Retrofitting LID Practices into Existing Neighborhoods: Is It Worth It?

Authors:  Timothy J Wright; Yaoze Liu; Natalie J Carroll; Laurent M Ahiablame; Bernard A Engel
Journal:  Environ Manage       Date:  2016-01-02       Impact factor: 3.266

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

Authors:  M Mirzaei; E Solgi; A Salmanmahiny
Journal:  Environ Monit Assess       Date:  2016-11-24       Impact factor: 2.513

7.  Private provision of public goods by environmental groups.

Authors:  Laura Grant; Christian Langpap
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-03       Impact factor: 11.205

8.  Integrating biophysical and socioeconomic information for prioritizing watersheds in a Kashmir Himalayan lake: a remote sensing and GIS approach.

Authors:  Bazigha Badar; Shakil A Romshoo; M A Khan
Journal:  Environ Monit Assess       Date:  2013-01-05       Impact factor: 2.513

9.  Assessing sediment yield for selected watersheds in the Laurentian Great Lakes Basin under future agricultural scenarios.

Authors:  Yang Shao; Ross S Lunetta; Alexander J Macpherson; Junyan Luo; Guo Chen
Journal:  Environ Manage       Date:  2012-07-13       Impact factor: 3.266

10.  Non-Point Source Pollutant Load Variation in Rapid Urbanization Areas by Remote Sensing, Gis and the L-THIA Model: A Case in Bao'an District, Shenzhen, China.

Authors:  Tianhong Li; Fengjiao Bai; Peng Han; Yuanyan Zhang
Journal:  Environ Manage       Date:  2016-09-12       Impact factor: 3.266

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