Modeling seasonal water yield for landscape management: Applications in Peru and Myanmar
| Autor: | Richard Sharp, Manish Shrestha, Wendy Francesconi, Thanapon Piman, Perrine Hamel, Jefferson Valencia, Andrew J. Guswa, Rafael Schmitt |
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| Rok vydání: | 2020 |
| Předmět: |
Environmental Engineering
Hydrological modelling 0208 environmental biotechnology Water supply Myanmar 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law Structural basin 01 natural sciences Ecosystem services Water balance Peru Waste Management and Disposal Ecosystem 0105 earth and related environmental sciences Baseflow business.industry Water General Medicine Groundwater recharge 020801 environmental engineering Watershed management Environmental science Seasons Water resource management business |
| Zdroj: | Journal of Environmental Management. 270:110792 |
| ISSN: | 0301-4797 |
| DOI: | 10.1016/j.jenvman.2020.110792 |
| Popis: | A common objective of watershed management programs is to secure water supply, especially during the dry season. To develop such programs in contexts of low data and resource availability, program managers need tools to understand the effect of landscape management on the seasonal water balance. However, the performance of simple, parsimonious models is poorly understood. Here, we examine the behavior of a geospatial tool, developed to map monthly water budgets and baseflow contributions and forming part of the InVEST (integrated valuation of ecosystem services and trade-offs) software suite. The model uses monthly climate, topography, and land-use data to compute spatial indices of groundwater recharge, baseflow, and quickflow. We illustrate the model application in two large basins in Peru and Myanmar, where we compare results with observed data and alternative hydrologic models. We show that the spatial distribution of baseflow contributions correlated well with an established model in the Peruvian basin (r2 = 0.81 at the parcel scale). In Myanmar, the model shows an overall satisfactory performance for representing month to month variation (Nash-Sutcliffe-Efficiency 0.6–0.8); however, errors are scale dependent highlighting limitations in representing processes in large basins. Our study highlights modeling challenges, in particular trade-offs between model complexity and accuracy, and illustrates the role that parsimonious models can play to support watershed management programs. |
| Databáze: | OpenAIRE |
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