Applications of TLS and Related Methods in the Environmental Sciences

Jose A. Ramos

doi:10.1016/j.csda.2007.06.009

Applications of TLS and Related Methods in the Environmental Sciences

Jose A. Ramos

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

An overview of statistical and computational techniques used in the solution of environmental problems is presented. The applications presented involve: (1) the fitting of Horton’s infiltration curve using real data from field experiments performed in Surinam; (2) linear and nonlinear rainfall–runoff modeling using real data fromwatersheds in Louisiana and Belgium; (3) real-time monitoring and forecasting of a network of chemical sensors using real data from Fall Creek Reservoir in Indiana; (4) forecasting of hourly water consumption in Indiana; and (5) the exponential fitting of a sum ofAM and FM tones used to model a chirp signal of a Coquí frog from Puerto Rico.

Original language	American English
Pages (from-to)	1234-1267
Number of pages	34
Journal	Computational Statistics & Data Analysis
Volume	52
Issue number	2
DOIs	https://doi.org/10.1016/j.csda.2007.06.009
State	Published - Oct 15 2007

ASJC Scopus Subject Areas

Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Applied Mathematics

Keywords

AM–FM signal modeling
Canonical correlation analysis
Exponential data fitting
Horton’s infiltration curve
Hydrograph separation
RV-coefficient
Rainfall–runoff modeling
Singular value decomposition
State-space models
Total least squares
Rainfall-runoff modeling
AM-FM signal modeling
Horton's infiltration curve

Disciplines

Computer Sciences

Access to Document

10.1016/j.csda.2007.06.009

Cite this

@article{876c42c8d16447f6bbde17425210de48,

title = "Applications of TLS and Related Methods in the Environmental Sciences",

abstract = " An overview of statistical and computational techniques used in the solution of environmental problems is presented. The applications presented involve: (1) the fitting of Horton{\textquoteright}s infiltration curve using real data from field experiments performed in Surinam; (2) linear and nonlinear rainfall–runoff modeling using real data fromwatersheds in Louisiana and Belgium; (3) real-time monitoring and forecasting of a network of chemical sensors using real data from Fall Creek Reservoir in Indiana; (4) forecasting of hourly water consumption in Indiana; and (5) the exponential fitting of a sum ofAM and FM tones used to model a chirp signal of a Coqu{\'i} frog from Puerto Rico.",

keywords = "AM–FM signal modeling, Canonical correlation analysis, Exponential data fitting, Horton{\textquoteright}s infiltration curve, Hydrograph separation, RV-coefficient, Rainfall–runoff modeling, Singular value decomposition, State-space models, Total least squares, Rainfall-runoff modeling, AM-FM signal modeling, Horton's infiltration curve",

author = "Ramos, \{Jose A.\}",

year = "2007",

month = oct,

day = "15",

doi = "10.1016/j.csda.2007.06.009",

language = "American English",

volume = "52",

pages = "1234--1267",

journal = "Computational Statistics \& Data Analysis",

issn = "0167-9473",

publisher = "Elsevier B.V.",

number = "2",

}

TY - JOUR

T1 - Applications of TLS and Related Methods in the Environmental Sciences

AU - Ramos, Jose A.

PY - 2007/10/15

Y1 - 2007/10/15

N2 - An overview of statistical and computational techniques used in the solution of environmental problems is presented. The applications presented involve: (1) the fitting of Horton’s infiltration curve using real data from field experiments performed in Surinam; (2) linear and nonlinear rainfall–runoff modeling using real data fromwatersheds in Louisiana and Belgium; (3) real-time monitoring and forecasting of a network of chemical sensors using real data from Fall Creek Reservoir in Indiana; (4) forecasting of hourly water consumption in Indiana; and (5) the exponential fitting of a sum ofAM and FM tones used to model a chirp signal of a Coquí frog from Puerto Rico.

AB - An overview of statistical and computational techniques used in the solution of environmental problems is presented. The applications presented involve: (1) the fitting of Horton’s infiltration curve using real data from field experiments performed in Surinam; (2) linear and nonlinear rainfall–runoff modeling using real data fromwatersheds in Louisiana and Belgium; (3) real-time monitoring and forecasting of a network of chemical sensors using real data from Fall Creek Reservoir in Indiana; (4) forecasting of hourly water consumption in Indiana; and (5) the exponential fitting of a sum ofAM and FM tones used to model a chirp signal of a Coquí frog from Puerto Rico.

KW - AM–FM signal modeling

KW - Canonical correlation analysis

KW - Exponential data fitting

KW - Horton’s infiltration curve

KW - Hydrograph separation

KW - RV-coefficient

KW - Rainfall–runoff modeling

KW - Singular value decomposition

KW - State-space models

KW - Total least squares

KW - Rainfall-runoff modeling

KW - AM-FM signal modeling

KW - Horton's infiltration curve

UR - https://nsuworks.nova.edu/gscis_facarticles/429

U2 - 10.1016/j.csda.2007.06.009

DO - 10.1016/j.csda.2007.06.009

M3 - Article

SN - 0167-9473

VL - 52

SP - 1234

EP - 1267

JO - Computational Statistics & Data Analysis

JF - Computational Statistics & Data Analysis

IS - 2

ER -

Applications of TLS and Related Methods in the Environmental Sciences

Abstract

ASJC Scopus Subject Areas

Keywords

Disciplines

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