Eco-hydrologic model cascades: Simulating land use and climate change impacts on hydrology, hydraulics and habitats for fish and macroinvertebrates

2015 ◽  
Vol 533 ◽  
pp. 542-556 ◽  
Author(s):  
Björn Guse ◽  
Jochem Kail ◽  
Johannes Radinger ◽  
Maria Schröder ◽  
Jens Kiesel ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Climate Change Impacts ◽  
Hydrologic Model

scholarly journals Future directions for hydropedology: quantifying impacts of global change on land use

2009 ◽  
Vol 13 (8) ◽  
pp. 1427-1438 ◽  
Author(s):  
M. J. Vepraskas ◽  
J. L. Heitman ◽  
R. E. Austin
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Table ◽  
Climate Change Impacts ◽  
Hydrologic Model ◽  
Soil Survey ◽  
Septic Systems ◽  
Hydrologic Models ◽  
Similar Work ◽  
Table Data

Abstract. Hydropedology is well positioned to address contemporary issues resulting from climate change. We propose a six-step process by which digital, field-scale maps will be produced to show where climate change impacts will be greatest for two land uses: a) home sites using septic systems, and b) wetlands. State and federal laws have defined critical water table levels that can be used to determine where septic systems will function well or fail, and where wetlands are likely to occur. Hydrologic models along with historic rainfall and temperature data can be used to compute long records of water table data. However, it is difficult to extrapolate such data across land regions, because too little work has been done to test different ways for doing this reliably. The modeled water table data can be used to define soil drainage classes for individual mapping units, and the drainage classes used to extrapolate the data regionally using existing digital soil survey maps. Estimates of changes in precipitation and temperature can also be input into the models to compute changes to water table levels and drainage classes. To do this effectively, more work needs to be done on developing daily climate files from the monthly climate change predictions. Technology currently exists to use the NRCS Soil Survey Geographic (SSURGO) Database with hydrologic model predictions to develop maps within a GIS that show climate change impacts on septic system performance and wetland boundaries. By using these maps, planners will have the option to scale back development in sensitive areas, or simply monitor the water quality of these areas for pathogenic organisms. The calibrated models and prediction maps should be useful throughout the Coastal Plain region. Similar work for other climate-change and land-use issues can be a valuable contribution from hydropedologists.

scholarly journals Future directions for hydropedology: quantifying impacts of global change on land use

2009 ◽  
Vol 6 (2) ◽  
pp. 1737-1768
Author(s):  
M. J. Vepraskas ◽  
J. L. Heitman ◽  
R. E. Austin
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Table ◽  
Climate Change Impacts ◽  
Hydrologic Model ◽  
Soil Survey ◽  
Septic Systems ◽  
Hydrologic Models ◽  
Similar Work ◽  
Table Data

Abstract. Hydropedology is well positioned to address contemporary issues resulting from climate change. We propose a six step process by which digital, field-scale maps will be produced to show where climate change impacts will be greatest for two land uses: a) home sites using septic systems, and b) wetlands. State and federal laws have defined critical water table levels that can be used to determine where septic systems will function well or fail, and where wetlands are likely to occur. Hydrologic models along with historic rainfall and temperature data can be used to compute long records of water table data. However, it is difficult to extrapolate such data across land regions, because too little work has been done to test different ways for doing this reliably. The modeled water table data can be used to define soil drainage classes for individual mapping units, and the drainage classes used to extrapolate the data regionally using existing digital soil survey maps. Estimates of changes in precipitation and temperature can also be input into the models to compute changes to water table levels and drainage classes. To do this effectively, more work needs to be done on developing daily climate files from the monthly climate change predictions. Technology currently exists to use the NRCS Soil Survey Geographic (SSURGO) Database with hydrologic model predictions to develop maps within a GIS that show climate change impacts on septic system performance and wetland boundaries. By using these maps, planners will have the option to scale back development in sensitive areas, or simply monitor the water quality of these areas for pathogenic organisms. The calibrated models and prediction maps should be useful throughout the Coastal Plain region. Similar work for other climate-change and land-use issues can be a valuable contribution from hydropedologists.

Effects of Hydrologic Model Choice and Calibration on the Portrayal of Climate Change Impacts

2015 ◽  
Vol 16 (2) ◽  
pp. 762-780 ◽  
Author(s):  
Pablo A. Mendoza ◽  
Martyn P. Clark ◽  
Naoki Mizukami ◽  
Andrew J. Newman ◽  
Michael Barlage ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Climate Models ◽  
Climate Change Impacts ◽  
Hydrologic Model ◽  
Global Climate Models ◽  
Change Scenario ◽  
Hydrologic Models ◽  
Climate System Model

Abstract The assessment of climate change impacts on water resources involves several methodological decisions, including choices of global climate models (GCMs), emission scenarios, downscaling techniques, and hydrologic modeling approaches. Among these, hydrologic model structure selection and parameter calibration are particularly relevant and usually have a strong subjective component. The goal of this research is to improve understanding of the role of these decisions on the assessment of the effects of climate change on hydrologic processes. The study is conducted in three basins located in the Colorado headwaters region, using four different hydrologic model structures [PRMS, VIC, Noah LSM, and Noah LSM with multiparameterization options (Noah-MP)]. To better understand the role of parameter estimation, model performance and projected hydrologic changes (i.e., changes in the hydrology obtained from hydrologic models due to climate change) are compared before and after calibration with the University of Arizona shuffled complex evolution (SCE-UA) algorithm. Hydrologic changes are examined via a climate change scenario where the Community Climate System Model (CCSM) change signal is used to perturb the boundary conditions of the Weather Research and Forecasting (WRF) Model configured at 4-km resolution. Substantial intermodel differences (i.e., discrepancies between hydrologic models) in the portrayal of climate change impacts on water resources are demonstrated. Specifically, intermodel differences are larger than the mean signal from the CCSM–WRF climate scenario examined, even after the calibration process. Importantly, traditional single-objective calibration techniques aimed to reduce errors in runoff simulations do not necessarily improve intermodel agreement (i.e., same outputs from different hydrologic models) in projected changes of some hydrological processes such as evapotranspiration or snowpack.

Determination of the life cycle climate change impacts of land use and albedo change in algal biofuel production

2017 ◽  
Vol 28 ◽  
pp. 270-281 ◽  
Author(s):  
Marie-Odile P. Fortier ◽  
Griffin W. Roberts ◽  
Susan M. Stagg-Williams ◽  
Belinda S.M. Sturm
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Life Cycle ◽  
Climate Change Impacts ◽  
Biofuel Production ◽  
Algal Biofuel ◽  
Albedo Change

scholarly journals Towards Applying Climate Change Adaptation

2017 ◽  
pp. 49 ◽  
Author(s):  
Philipp Schmidt-Thomé
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Sea Level ◽  
Climate Change Adaptation ◽  
Extreme Events ◽  
Climate Change Impacts ◽  
Decision Makers ◽  
Economic Point ◽  
Scientific Analysis ◽  
Feasible Solutions

Climate change adaptation has been growing in importance since the beginning of the 21st century. Historically adaptation, not to climate change but to extreme events, was deeply rooted in many societies and their land-use structures. With industrialization, and especially the increase in globalization since the 1990’s the importance of appropriate adaptation has slowly decreased, leading to increased exposure and risks of human settlements in areas potentially affected by climate change impacts (e.g. sea level rise) and / or extreme events (natural hazards). In order to implement climate change adaptation sustainably feasible solutions should be identified, i.e. viable and acceptable from socio-economic point of views. The identification of such feasible solutions goes beyond pure scientific analysis but incorporates stakeholders, decision-makers and local knowledge.

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