1.

Record Nr.

UNINA9910765840003321

Titolo

Hydro-ecological modeling / / edited by Philipp Kraft, Lutz Breuer

Pubbl/distr/stampa

Basel, Switzerland : , : MDPI, , [2016]

©2016

ISBN

3-03842-212-6

Descrizione fisica

1 online resource (xiv, 322 pages) : illustrations, maps

Disciplina

551.48011

Soggetti

Hydrologic models

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

List of Contributors VII -- About the Guest Editors XI -- Preface to "Hydro-Ecological Modeling".XIII -- Chapter 1: Ecological Controls on Water Resources -- Valentin Aich, Stefan Liersch, Tobias Vetter, Jafet C. M. Andersson, Eva N. Müller and Fred F. Hattermann Climate or Land Use?-Attribution of Changes in River Flooding in the Sahel Zone Reprinted from: Water 2015, 7(6), 2796-2820 http://www.mdpi.com/2073-4441/7/6/2796 3 -- Anastassi Stefanova, Cornelia Hesse and Valentina Krysanova Combined Impacts of Medium Term Socio-Economic Changes and Climate Change on Water Resources in a Managed Mediterranean Catchment Reprinted from: Water 2015, 7(4), 1538-1567 http://www.mdpi.com/2073-4441/7/4/1538 32 -- Mana Gharun, Mohammad Azmi and Mark A. Adams Short-Term Forecasting of Water Yield from Forested Catchments after Bushfire: A Case Study from Southeast Australia Reprinted from: Water 2015, 7(2), 599-614 http://www.mdpi.com/2073-4441/7/2/599 67 -- Cornelia Hesse, Anastassi Stefanova and Valentina Krysanova Comparison of Water Flows in Four European Lagoon Catchments under a Set of Future Climate Scenarios Reprinted from: Water 2015, 7(2), 716-746 http://www.mdpi.com/2073-4441/7/2/716 85 -- Jieqiong Su, Xuan Wang, Shouyan Zhao, Bin Chen, Chunhui Li and Zhifeng Yang A Structurally Simplified Hybrid Model of Genetic Algorithm and Support Vector Machine for Prediction of Chlorophyll a in Reservoirs Reprinted from: Water 2015, 7(4), 1610-1627 http://www.mdpi.com/2073-4441/7/4/1610.119 -- Berit Arheimer, Johanna Nilsson and Göran



Lindström Experimenting with Coupled Hydro-Ecological Models to Explore Measure Plans and Water Quality Goals in a Semi-Enclosed Swedish Bay Reprinted from: Water 2015, 7(7), 3906-3924 http://www.mdpi.com/2073-4441/7/7/3906.138 -- Chapter 2: Water Flux Impact on Ecosystem Functions -- Lei Huang and Zhishan Zhang The Stability of Revegetated Ecosystems in Sandy Areas: An Assessment and Prediction Index Reprinted from: Water 2015, 7(5), 1969-1990 http://www.mdpi.com/2073-4441/7/5/1969.161 -- Kellie Vaché, Lutz Breuer, Julia Jones and Phil Sollins Catchment-Scale Modeling of Nitrogen Dynamics in a Temperate Forested Watershed, Oregon. An Interdisciplinary Communication Strategy Reprinted from: Water 2015, 7(10), 5345-5377 http://www.mdpi.com/2073-4441/7/10/5345 .185 -- Mikołaj Piniewski, Paweł Marcinkowski, Ignacy Kardel, Marek Giełczewski, Katarzyna Izydorczyk and Wojciech Frątczak Spatial Quantification of Non-Point Source Pollution in a Meso-Scale Catchment for an Assessment of Buffer Zones Efficiency Reprinted from: Water 2015, 7(5), 1889-1920 http://www.mdpi.com/2073-4441/7/5/1889.220 -- Marc Vis, Rodney Knight, Sandra Pool, William Wolfe and Jan Seibert Model Calibration Criteria for Estimating Ecological Flow Characteristics Reprinted from: Water 2015, 7(5), 2358-2381 http://www.mdpi.com/2073-4441/7/5/2358.256 -- Huijie Li, Jun Yi, Jianguo Zhang, Ying Zhao, Bingcheng Si, Robert Lee Hill, Lele Cui and Xiaoyu Liu Modeling of Soil Water and Salt Dynamics and Its Effects on Root Water Uptake in Heihe Arid Wetland, Gansu, China Reprinted from: Water 2015, 7(5), 2382-2401 http://www.mdpi.com/2073-4441/7/5/2382.282 -- Dejian Zhang, Xingwei Chen and Huaxia Yao Development of a Prototype Web-Based Decision Support System for Watershed Management Reprinted from: Water 2015, 7(2), 780-793 http://www.mdpi.com/2073-4441/7/2/780.305.

Sommario/riassunto

Water is not only an interesting object to be studied on its own, it also is an important component driving almost all ecological processes occurring in our landscapes. Plant growth depends on soil water content, as well is nutrient turnover by microbes. Water shapes the environment by erosion and sedimentation. Species occur or are lost depending on hydrological conditions, and many infectious diseases are water-borne.Modeling the complex interactions of water and ecosystem processes requires the prediction of hydrological fluxes and stages on the one side and the coupling of the ecosystem process model on the other. While much effort has been given to the development of the hydrological model theory in recent decades, we have just begun to explore the difficulties that occur when coupled model applications are being set up.