Quantitative Evaluation of Spatial Distribution of Nitrogen Loading in the Citarum River Basin, Indonesia

• YOSHIDA Koshi

  Faculty of Agriculture, Ibaraki University

• TANAKA Kenji

  Faculty of Agriculture, Ibaraki University

• NODA Keigo

  Institute of Industrial Science, The University of Tokyo

• HOMMA Koki

  Faculty of Agriculture, Tohoku University

• MAKI Masayasu

  Faculty of Engineering, Tohoku Institute of Technology

• HONGO Chiharu

  Center for Environmental Remote Sensing, Chiba University

• SHIRAKAWA Hiroaki

  Faculty of Engineering, Nagoya University

• OKI Kazuo

  Institute of Industrial Science, The University of Tokyo

Abstract

Human population growth has led to increases in energy and food production, use of fertilizers, and wastewater flows. Enhanced availability of nitrogen is a cause of eutrophication of rivers, lakes, and estuaries worldwide. In this study, Citarum River Basin, West Java, Indonesia was selected as a target area, supplying 80% of domestic water to Jakarta Metropolis. Meteorological and hydrological data from 1996 to 2009, and spatial data such as topography, land use, soil properties were collected for model simulation. Conceptual nitrogen balance model, which has three nitrogen pools, was developed and combined with rainfall runoff model. Proposed model was applied to the Citarum River Basin and simulated river discharge and nitrogen load in 1 km×1 km resolution to check the model applicability. By using the model, spatial distribution of nitrogen loading in whole basin level was estimated and histograms of nitrogen load from different land use also evaluated. The results provide a first insight into the magnitude and the spatial distribution of nitrogen loading in Citarum River Basin.

Journal

• Journal of Agricultural Meteorology

  Journal of Agricultural Meteorology 73 (1), 31-44, 2017

  The Society of Agricultural Meteorology of Japan

Keywords

• Diffuse pollution
• Land use
• Nitrogen runoff
• Point sources
• West Java

Details

• CRID: 1390001204668928000
• NII Article ID: 130005286623
• NII Book ID: AN00200732
• DOI: 10.2480/agrmet.d-15-00020
• ISSN: 18810136
• ISSN: 00218588
• NDL BIB ID: 027843730
• Web Site: http://id.ndl.go.jp/bib/027843730
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I027843730
• Web Site: https://www.jstage.jst.go.jp/article/agrmet/73/1/73_D-15-00020/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed