Low flow prediction in time and space: an adaptive statistical scheme for regional climate change impact assessment

Research output: Thesis › Doctoral thesis

Authors

  • Anne Fangmann

Research Organisations

View graph of relations

Details

Original languageEnglish
QualificationDoctor of Engineering
Awarding Institution
Supervised by
  • Uwe Haberlandt, Supervisor
Date of Award1 Dec 2017
Place of PublicationHannover
Publication statusPublished - 2017

Keywords

    Statistisches Modell, Niedrigwasser

Sustainable Development Goals

Cite this

Low flow prediction in time and space: an adaptive statistical scheme for regional climate change impact assessment. / Fangmann, Anne.
Hannover, 2017.

Research output: Thesis › Doctoral thesis

Fangmann A. Low flow prediction in time and space: an adaptive statistical scheme for regional climate change impact assessment. Hannover, 2017. (Mitteilungen / Institut für Hydrologie und Wasserwirtschaft).
Download
@phdthesis{84005f56ba3e4241af2173d9b59252e6,
title = "Low flow prediction in time and space: an adaptive statistical scheme for regional climate change impact assessment",
keywords = "Statistisches Modell, Niedrigwasser",
author = "Anne Fangmann",
note = "Doctoral thesis",
year = "2017",
language = "English",
series = "Mitteilungen / Institut f{\"u}r Hydrologie und Wasserwirtschaft",
school = "Leibniz University Hannover",

}

Download

TY - BOOK

T1 - Low flow prediction in time and space

T2 - an adaptive statistical scheme for regional climate change impact assessment

AU - Fangmann, Anne

N1 - Doctoral thesis

PY - 2017

Y1 - 2017

KW - Statistisches Modell

KW - Niedrigwasser

M3 - Doctoral thesis

T3 - Mitteilungen / Institut für Hydrologie und Wasserwirtschaft

CY - Hannover

ER -