Abstract

Groundwater is the main source of water in the semi-arid Calera watershed, located in the State of Zacatecas, Mexico. Due to increasing population, rapid industrial growth, and increased irrigation to meet growing food demand, groundwater extraction in the Calera watershed are exceeding recharge rates. Therefore, development and evaluation of alter-native water management strategies are needed for sustainable development of the region. The Soil and Water Assessment Tool (SWAT) model was selected for this purpose as it has been used to simulate a wide range of agricultural production, the extensive testing and application in diverse watersheds worldwide, and the potential for future linkage of this model to groundwater models. However, crucial flow data which are commonly used for calibrating hydrologic models are not available in this watershed. This paper describes a novel calibration methodology that uses biomass and water balance approach which has potential for calibration of hydrologic models in ungauged or data-scarce watersheds, which are prevalent in many parts of the world. Estimated long-term annual average actual evapotranspiration (AET), and deep aquifer recharge rates and plant biomass values based on the expert knowledge of researchers and managers in the watershed were used as targets for calibration. The model performance was assessed using the Nash-Sutcliffe effi-ciency coefficient (NSE), coefficient of determination (R2), and percent bias (PBIAS, %) statistics. On average, the calibrated SWAT model yielded annual Nash-Sutcliffe efficiency coefficient values of 0.95, 0.99, and 0.85 for AET, recharge, and biomass, respectively. The coefficient of determination, values for AET, recharge, and biomass were 0.95, 0.94, and 0.99 respectively. The percent bias values of ±2.21%, ±0.18%, and ±0.96% for AET, recharge, and biomass, respectively, indicated that the model reproduced the calibration target values of the three water budget variables within an acceptable value of ± 10.0%. Therefore, it is concluded that the calibrated SWAT model can be used in evaluating alternative water management scenarios for the Calera watershed without further validation. Considering the relative ease in developing calibration data and excellent performance statistics, the calibration methodology proposed in this study may have the potential to be used for ungauged or data-scare agricultural watersheds that are prevalent in many parts of the world.

Highlights

  • Underlying unconfined Calera aquifer is the primary source of water in the semi-arid Calera watershed, located in the most populated, economical and industrialized part of the state of Zacatecas, Mexico

  • The specific objective of this paper is to document a detailed procedure to calibrate Soil and Water Assessment Tool (SWAT) based on limited data on actual ET, recharge rate, crop biomass, and irrigation efficiency data for accurately predicting annual flow in the Calera watershed located in the State of Zacatecas, central Mexico

  • This study presented a detailed procedure to calibrate the SWAT model for predicted annual flow in the Calera watershed based on crop biomass, actual evapotranspiration (AET), and deep aquifer recharge

Read more

Summary

Introduction

Underlying unconfined Calera aquifer is the primary source of water in the semi-arid Calera watershed, located in the most populated, economical and industrialized part of the state of Zacatecas, Mexico. Ties within the Calera Watershed account for about 60% of the state population and about 80% of the Calera region population live in urban areas. Calera watershed provides 74% of the state’s (GDP) (gross domestic product), and generate 17% of employment [1] with irrigated agriculture being the largest employer followed by commerce, mining, livestock, and industry [2].

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.