Jiao Chen , Meiling Zheng , Feng Lin , Xingwei Chen , Huaxia Yao
{"title":"Spatiotemporal variation of forest water conservation based on dual-variable calibration of runoff and evapotranspiration with SWAT model","authors":"Jiao Chen , Meiling Zheng , Feng Lin , Xingwei Chen , Huaxia Yao","doi":"10.1016/j.agrformet.2025.110755","DOIUrl":null,"url":null,"abstract":"<div><div>To address the limitations of traditional Soil and Water Assessment Tool (SWAT) model calibration that relies solely on runoff, which fails to accurately depict the water cycle process and reasonably quantify forest water conservation, we proposed an improved approach. This method firstly conducts regional adaptation assessment and correction of evapotranspiration (ET) products based on water balance principles, then develops a dual-variable calibrated SWAT model using observed runoff and corrected products ET to obtain more accurate forest water conservation. Application of this method in Shanmei Reservoir Watershed (SMRW) located in southeastern coast of China demonstrated following results. Firstly, when the length of time series used for water balance analysis exceeded or equal to 11 years, the multi-year average change of water storage in the watershed could be negligible. Compared with the water-balance ET, the relative error of three ET products after correction were <1 %. It indicated that the ET products correction method was workable. Secondly, the SWAT model with dual-variable calibration improved the simulation performance of daily runoff and spatiotemporal variations of ET. However, the degree of improvement varied across different products. The corrected FLDAS ET exhibited the best model application performance and the most significant improvement effect in the SMRW. Thirdly, the multi-year average amount of forest water conservation and forest water conservation coefficient from 2005–2016 in the SMRW were 574.05 mm and 0.31, respectively, and the spatial distribution pattern was high from east to west and low in the middle. Precipitation and forested land area were important factors affecting forest water conservation. Based on the correction of ET product, the SWAT model with dual-variable calibration can reflect spatiotemporal variations of forest water conservation more reasonably.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"373 ","pages":"Article 110755"},"PeriodicalIF":5.7000,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural and Forest Meteorology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168192325003740","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
To address the limitations of traditional Soil and Water Assessment Tool (SWAT) model calibration that relies solely on runoff, which fails to accurately depict the water cycle process and reasonably quantify forest water conservation, we proposed an improved approach. This method firstly conducts regional adaptation assessment and correction of evapotranspiration (ET) products based on water balance principles, then develops a dual-variable calibrated SWAT model using observed runoff and corrected products ET to obtain more accurate forest water conservation. Application of this method in Shanmei Reservoir Watershed (SMRW) located in southeastern coast of China demonstrated following results. Firstly, when the length of time series used for water balance analysis exceeded or equal to 11 years, the multi-year average change of water storage in the watershed could be negligible. Compared with the water-balance ET, the relative error of three ET products after correction were <1 %. It indicated that the ET products correction method was workable. Secondly, the SWAT model with dual-variable calibration improved the simulation performance of daily runoff and spatiotemporal variations of ET. However, the degree of improvement varied across different products. The corrected FLDAS ET exhibited the best model application performance and the most significant improvement effect in the SMRW. Thirdly, the multi-year average amount of forest water conservation and forest water conservation coefficient from 2005–2016 in the SMRW were 574.05 mm and 0.31, respectively, and the spatial distribution pattern was high from east to west and low in the middle. Precipitation and forested land area were important factors affecting forest water conservation. Based on the correction of ET product, the SWAT model with dual-variable calibration can reflect spatiotemporal variations of forest water conservation more reasonably.
期刊介绍:
Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published.
Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.