Modeling seasonal water yield for landscape management applications in Peru and Myanmar

The study evaluates a parsimonious geospatial tool for mapping monthly water budgets, groundwater recharge, baseflow, and quickflow in Peru and Myanmar. In Peru, the tool's spatial distribution of baseflow contributions showed a strong correlation with an established model (r2 = 0.81). In Myanmar, the model performed satisfactorily in representing month-to-month variation (NSE 0.6–0.8), though it exhibited scale-dependent errors in large basins. The findings suggest that while trade-offs exist between model complexity and accuracy, such simple models can support watershed management in resource-limited settings.

• In a Peruvian basin, the geospatial tool's spatial distribution of baseflow contributions demonstrated a strong correlation with an established model, with an r2 value of 0.81 at the parcel scale.
• In Myanmar, the model showed satisfactory performance in representing month-to-month variation, with Nash-Sutcliffe-Efficiency values between 0.6 and 0.8, although it faced limitations in representing processes in large basins due to scale-dependent errors.
• The study identifies a trade-off between model complexity and accuracy, concluding that parsimonious models are useful for supporting watershed management programs in areas with low data and resource availability.

APA

Stockholm Environment Institute (2020). Modeling seasonal water yield for landscape management applications in Peru and Myanmar. https://www.sei.org/publications/modeling-seasonal-water-yield-for-landscape-management-applications-in-peru-and-myanmar/

Chicago

Stockholm Environment Institute. Modeling seasonal water yield for landscape management applications in Peru and Myanmar. 2020. https://www.sei.org/publications/modeling-seasonal-water-yield-for-landscape-management-applications-in-peru-and-myanmar/.

Wikipedia

{{cite report |author=Stockholm Environment Institute |title=Modeling seasonal water yield for landscape management applications in Peru and Myanmar |date=8 June 2020 |url=https://www.sei.org/publications/modeling-seasonal-water-yield-for-landscape-management-applications-in-peru-and-myanmar/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{stockholmenvironmentinstitute2020modeling, author = {{Stockholm Environment Institute}}, title = {{Modeling seasonal water yield for landscape management applications in Peru and Myanmar}}, institution = {Stockholm Environment Institute}, year = {2020}, month = jun, url = {https://www.sei.org/publications/modeling-seasonal-water-yield-for-landscape-management-applications-in-peru-and-myanmar/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }