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Algorithm for the recovery of missing data in the Bogotá River

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Title: Algorithm for the recovery of missing data in the Bogotá River

Authors: Wilson R. López S., César A. Perdomo Ch., Julián R. Camargo L.

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2020

Volume: 15

Issue: 14

Language: English

Categories
Missing Data (8) River Water (2) Data Analysis (701) Hydrology (1425) Environmental Engineering (2142)

Abstract

There are different methods for the estimation of missing data; among the most used is substitution by arithmetic mean and interpolation, which have been used in HFA (Hydrological Frequency Analysis). Interpolation consists of being able to estimate a function f(x) that describes the behavior of already known data and thus estimate an arbitrary x that is within the limits of known values. In this article, a study of different interpolation methods will be carried out to estimate missing parameters related to water quality in the Bogotá River.

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