Statistical methods for the evaluation of hydrological parameters for landuse planning
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Statistical methods for the evaluation of hydrological parameters for landuse planning. / Busch, A. Ulrike; Brechtel, H.M.; Urfer, Wolfgang.
Statistics for the Environment: Water-Related Issues. ed. / Victor Barnett; K. Feridun Turkman. Vol. 2 Chichester : John Wiley & Sons Inc., 1994. p. 319-344.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
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TY - CHAP
T1 - Statistical methods for the evaluation of hydrological parameters for landuse planning
AU - Busch, A. Ulrike
AU - Brechtel, H.M.
AU - Urfer, Wolfgang
N1 - Proceedings of SPRUCE II: the second SPRUCE Conference held in Rothamsted Experimental Station, Harpenden, UK, 13 - 16 September 1993
PY - 1994
Y1 - 1994
N2 - In connection with environmental impact assessments for the purpose of landuse planning, investigations on the hydrological site conditions and their possibe changes are of vital importance for einvironmental decision-making. In many cases long-term measurements must be carried out on various water balance components and parameters of hydrological processes, including substance deposition caused by air pollution. Such monitoring must take into account the large spatial and temporal variation and correlation of measured quantities (see Brechtel, 1989).Dat from a forest-ecological investigation in the Rhine-Main Valley are used to demonstrate how patterns in field measurements over space and time can be analysed statistically. From a great number of methods used, two that proved useful for several major problems are chosen and explained: repeated measures analysis and time series models with interventions and input variables.
AB - In connection with environmental impact assessments for the purpose of landuse planning, investigations on the hydrological site conditions and their possibe changes are of vital importance for einvironmental decision-making. In many cases long-term measurements must be carried out on various water balance components and parameters of hydrological processes, including substance deposition caused by air pollution. Such monitoring must take into account the large spatial and temporal variation and correlation of measured quantities (see Brechtel, 1989).Dat from a forest-ecological investigation in the Rhine-Main Valley are used to demonstrate how patterns in field measurements over space and time can be analysed statistically. From a great number of methods used, two that proved useful for several major problems are chosen and explained: repeated measures analysis and time series models with interventions and input variables.
KW - Economics, empirical/statistics
KW - Time series
KW - Transfer function
KW - Repeated measures models
KW - Zeitreihenanalyse
KW - Transferfunktionen
KW - Modelle mit Messwiederholungen
KW - Environmental planning
KW - forest-ecologic proof documentation
KW - hydrologic site conditions
KW - Forstökologisches Beweissicherungsverfahren
KW - Hydrologie
KW - Ecosystems Research
KW - deposition
KW - Air Pollution
KW - precipitation
KW - Deposition
KW - Luftverschmutzung
KW - Niederschlag
UR - http://scans.hebis.de/03/40/95/03409513_toc.pdf
M3 - Contributions to collected editions/anthologies
SN - 987-0-47-195048-6
SN - 0-471-95048-3
VL - 2
SP - 319
EP - 344
BT - Statistics for the Environment
A2 - Barnett, Victor
A2 - Turkman, K. Feridun
PB - John Wiley & Sons Inc.
CY - Chichester
ER -