Integrating river hydromorphology and water quality into ecological status modelling by artificial neural networks-Reference-Cited by-同舟云学术

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Integrating river hydromorphology and water quality into ecological status modelling by artificial neural networks

Published:2018-08 Issue: Volume:139 Page:395-405
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Gebler Daniel,Wiegleb Gerhard,Szoszkiewicz Krzysztof

Funder

National Science Centre

European Union under the European Social Fund

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering

Reference68 articles.

1. Landscapes and riverscapes: the influence of land use on stream ecosystems;Allan;Annu. Rev. Ecol. Evol. Syst.,2004

2. Effects of mechanical stressors caused by mean flow and turbulence on aquatic plants with different morphologies;Asaeda;Ecohydrology,2017

3. Functional trait composition of aquatic plants can serve to disentangle multiple interacting stressors in lowland streams;Baattrup-Pedersen;Sci. Total Environ.,2016

4. Towards harmonization of ecological quality classification: establishing common grounds in European macrophyte assessment for rivers;Birk;Hydrobiologia,2010

5. Three hundred ways to assess Europe's surface waters: an almost complete overview of biological methods to implement the Water Framework Directive;Birk;Ecol. Indicat.,2012

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