An integrated modeling framework to assess surface and ground water resources

Against the backdrop of climate change and rising water demand, tools for adequately modeling water availability are much needed. In a new study, researchers applied a large-scale model linking surface water to groundwater, which can be used for estimating water resources at a high spatial resolution.

von Sina Ruhwedel | 05.10.22

Publications

05.10.2022 | Against the backdrop of climate change and rising water demand, tools for adequately modeling water availability are much needed. In a new study, researchers applied a large-scale model linking surface water to groundwater, which can be used for estimating water resources at a high spatial resolution.

Groundwater – the water contained in porous and fractured rocks underground – is the largest freshwater source on Earth apart from the ice caps and glaciers. It feeds into rivers, lakes, and other surface water bodies and is essential for ecosystems. In addition, groundwater systems are an integral part of agricultural irrigation, especially in regions with scarce surface water resources.

Existing large-scale models tend to oversimplify groundwater flow, often do not adequately integrate human water management, and operate at coarser resolutions than needed for modeling small-scale hydrologic processes. In a new study in Geoscientific Model Development, a team of IIASA researchers coupled the Community Water Model (CWatM) (Burek et al., 2020) with the groundwater flow model MODFLOW, allowing for the reproduction of water tables at very fine spatial resolutions. The integrated model simulates hydrological processes occurring in soil and surface water bodies at the hillslope scale, with grid cells smaller than 1 km. It can be used to model water cycles at various geographical levels, ranging from small basins to entire countries.

Water cycles need to be quantified

By comparing the Austrian Seewinkel region and the Indian Bhima basin, extending over 573 and 46,000 km² respectively, the researchers tested the model’s capacity to adequately reproduce water tables under different climatic, geological, and socioeconomic conditions. The simulated results were validated with observed water table depths and fluctuations over a period of 35 years in Seewinkel and 16 years in Bhima.

“These biophysical models are important because water cycles need to be quantified for proper water management. We can study how local and regional water processes interact by linking models at different scales. In particular, a model like CWatM-MODFLOW is a useful tool to project the impact of future water management plans, land cover changes, or climate change,” says Luca Guillaumot, the study’s lead author and a researcher in the IIASA Water Security Research Group (currently at the French weather research center – CNRM).

Furthermore, the authors used the model to assess the impact of groundwater-based irrigation on the water cycle in the two regions under investigation. They found that irrigation increases the amount of water that moves into the atmosphere through evaporation from soil and transpiration through plant tissues, but reduces groundwater support to rivers and humid areas, especially during dry seasons. The results also indicate that the water table is deeper in areas with intense irrigation pumping.

Humans‘ influence on regional and global water systems

Despite persistent challenges in reproducing water table depth patterns and calibrating the model at resolutions as fine as possible (~100m), the study represents a significant improvement in large-scale hydrological modeling.

“Humans are transforming the Earth’s water systems. IIASA water models can answer important questions about how we affect regional and global water systems at different spatial and temporal scales. Regional stakeholders, including policymakers, can use this information to construct realistic water management scenarios,” concludes study coauthor and IIASA Biodiversity and Natural Resources Program Director Yoshihide Wada.

Reference

Guillaumot, L., Smilovic, M., Burek, P., de Bruijn, J., Greve, P., Kahil, T., and Wada, Y. (2022). Coupling a large-scale hydrological model (CWatM v1.1) with a high-resolution groundwater flow model (MODFLOW 6) to assess the impact of irrigation at regional scale. Geoscientific Model Development 15, 7099–7120 DOI: 10.5194/gmd-15-7099-2022