Literature DB >> 19625073

2020s scenario analysis of nutrient load in the Mekong River Basin using a distributed hydrological model.

Chihiro Yoshimura1, Maichun Zhou, Anthony S Kiem, Kazuhiko Fukami, Hapuarachchi H A Prasantha, Hiroshi Ishidaira, Kuniyoshi Takeuchi.   

Abstract

A distributed hydrological model, YHyM, was integrated with the export coefficient concept and applied to simulate the nutrient load in the Mekong River Basin. In the validation period (1992-1999), Nash-Sutcliffe efficiency was 76.4% for discharge, 65.9% for total nitrogen, and 45.3% for total phosphorus at Khong Chiam. Using the model, scenario analysis was then performed for the 2020s taking into account major anthropogenic factors: climate change, population, land cover, fertilizer use, and industrial waste water. The results show that the load at Kompong Cham in 2020s is 6.3 x 10(4)tN a(-1) (+13.0% compared to 1990s) and 4.3 x 10(3)tP a(-1) (+24.7%). Overall, the noticeable nutrient sources are cropland in the middle region and urban load in the lower region. The installation of waste water treatment plants in urban areas possibly cut 60.6%N and 19.9%P of the estimated increase in the case without any treatment.

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Year:  2009        PMID: 19625073     DOI: 10.1016/j.scitotenv.2009.06.026

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Scenario analysis of the impacts of socioeconomic development on phosphorous export and loading from the Dongting Lake watershed, China.

Authors:  Ying Hou; Weiping Chen; Yuehua Liao; Yueping Luo
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-27       Impact factor: 4.223

2.  Multi-model ensemble simulation and projection in the climate change in the Mekong River Basin. Part I: temperature.

Authors:  Yong Huang; Fengyou Wang; Yi Li; Tijiu Cai
Journal:  Environ Monit Assess       Date:  2014-07-16       Impact factor: 2.513

3.  Evidence of Water Quality Degradation in Lower Mekong Basin Revealed by Self-Organizing Map.

Authors:  Ratha Chea; Gaël Grenouillet; Sovan Lek
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

  3 in total

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