Multivariate interpolation and information entropy for optimizing raingauge network in the Mekong River Basin期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

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Multivariate interpolation and information entropy for optimizing raingauge network in the Mekong River Basin

Authors:	Shuangshuang Li Sokly Siev Chihiro Yoshimura Oliver Saavedra Sarann Ly

Institution:	1. Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Tokyo, Japan;2. Faculty of Agriculture, Yamagata University, Yamagata, Japan;3. Department of Global Engineering for Development, Environment and Society, Tokyo Institute of Technology, Yokohama, Japanhttps://orcid.org/0000-0002-1916-1598;4. Civil and Environmental Research Center, Universidad Privada Bolivia, Cochabamba, Bolivia;5. Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia, Phnom Penh, Cambodiahttps://orcid.org/0000-0002-8676-5885

Abstract:	ABSTRACT The applicability of multivariate interpolation and information entropy to optimize the raingauge network in the Mekong River Basin (MRB) is investigated. Three different spatial interpolation methods are tested: inverse distance squared (IDS), ordinary kriging (OK) and gradient plus inverse distance squared (GIDS). The validated results confirm that the GIDS method outperformed IDS and OK. The application of information entropy together with GIDS on a network of 57 gauges provided the same information content (7.34 nat) as could be obtained using all 6788 gauges in the MRB. Combining this result with meteorological and hydrological indicators revealed that the number of gauges for the optimum raingauge network could be reduced to 40. The results imply good applicability of the proposed method, which may be used to help prioritize efforts and funds to maintain the raingauge network in a given river basin.

Keywords:	information entropy multivariate raingauge network spatial interpolation Mekong River Basin

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