{"title":"基于表面电阻的模型在中国湿润地区估算玉米蒸散量的比较","authors":"Chunwei Liu, Rangjian Qiu, Ningbo Cui, Baozhong Zhang, Ranghui Wang, Zhenchang Wang, Weihua Guo","doi":"10.1111/1752-1688.13155","DOIUrl":null,"url":null,"abstract":"<p>Accurate simulation of evapotranspiration (ET) is essential to enhance efficient irrigation management in the maize field. Here, we evaluated the performance of four mathematical models for estimating the ET of maize. The four models based on surface resistance calculate ET from different vapor sources, which are Penman-Monteith (PM) through the “big leaf” model, the Shuttleworth-Wallace (SW) model for distinguishing between soil and canopy, the clumping (C) model for distinguishing between canopy, soils under the canopy and bare soil, and the seasonal clumping (Cj) model for dividing ET into transpiration of sunlit leaves and shaded leaves, evaporation of bare soil surface, sunlit soil surface of canopy gap fraction, and canopy shaded soil surfaces. The models were calibrated by ET measured from a weighing lysimeter, transpiration by the sap flux method, and soil evaporation by micro-lysimeters in 2014, 2015, and 2017. Results showed that the measured daily transpiration was 3.32 mm/day during the full-grown stage of maize, and the mean measured daily soil evaporation was 1.46 mm/day. The performance of the sap flow for transpiration plus micro-lysimeter for soil evaporation method was consistent with the large-weighted lysimeter method in measuring daily ET. For simulating versus measuring hourly transpiration, the Cj model performed better than the C model with a slope of 0.94, determination coefficient (<i>R</i><sup>2</sup>) of 0.85, mean absolute error (MAE) of 0.08 mm/h, and modified agreement index (<i>d</i>) of 0.81. In simulating daily soil evaporation, the Cj model also had a higher slope and less MAE than the C and SW models. Nevertheless, the Cj model yielded increased slope and <i>d</i> and decreased MAE between simulated and measured daily ET. The most sensitive environmental factor in the Cj model is temperature. With a 50% increase in temperature, ET, transpiration, and evaporation increase by 45%, 36%, and 69%, respectively. In summary, the Cj model improved the accuracy for hourly and daily ET of maize and helped separate plant transpiration and soil evaporation, thus giving an available approach for precision irrigation in water management of maize planting systems.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of surface resistance-based models for estimating maize evapotranspiration in a humid region of China\",\"authors\":\"Chunwei Liu, Rangjian Qiu, Ningbo Cui, Baozhong Zhang, Ranghui Wang, Zhenchang Wang, Weihua Guo\",\"doi\":\"10.1111/1752-1688.13155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Accurate simulation of evapotranspiration (ET) is essential to enhance efficient irrigation management in the maize field. Here, we evaluated the performance of four mathematical models for estimating the ET of maize. The four models based on surface resistance calculate ET from different vapor sources, which are Penman-Monteith (PM) through the “big leaf” model, the Shuttleworth-Wallace (SW) model for distinguishing between soil and canopy, the clumping (C) model for distinguishing between canopy, soils under the canopy and bare soil, and the seasonal clumping (Cj) model for dividing ET into transpiration of sunlit leaves and shaded leaves, evaporation of bare soil surface, sunlit soil surface of canopy gap fraction, and canopy shaded soil surfaces. The models were calibrated by ET measured from a weighing lysimeter, transpiration by the sap flux method, and soil evaporation by micro-lysimeters in 2014, 2015, and 2017. Results showed that the measured daily transpiration was 3.32 mm/day during the full-grown stage of maize, and the mean measured daily soil evaporation was 1.46 mm/day. The performance of the sap flow for transpiration plus micro-lysimeter for soil evaporation method was consistent with the large-weighted lysimeter method in measuring daily ET. For simulating versus measuring hourly transpiration, the Cj model performed better than the C model with a slope of 0.94, determination coefficient (<i>R</i><sup>2</sup>) of 0.85, mean absolute error (MAE) of 0.08 mm/h, and modified agreement index (<i>d</i>) of 0.81. In simulating daily soil evaporation, the Cj model also had a higher slope and less MAE than the C and SW models. Nevertheless, the Cj model yielded increased slope and <i>d</i> and decreased MAE between simulated and measured daily ET. The most sensitive environmental factor in the Cj model is temperature. With a 50% increase in temperature, ET, transpiration, and evaporation increase by 45%, 36%, and 69%, respectively. In summary, the Cj model improved the accuracy for hourly and daily ET of maize and helped separate plant transpiration and soil evaporation, thus giving an available approach for precision irrigation in water management of maize planting systems.</p>\",\"PeriodicalId\":17234,\"journal\":{\"name\":\"Journal of The American Water Resources Association\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The American Water Resources Association\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1752-1688.13155\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The American Water Resources Association","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1752-1688.13155","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
摘要
准确模拟蒸散量(ET)对提高玉米田的灌溉管理效率至关重要。在此,我们评估了四种估算玉米蒸散发的数学模型的性能。这四个基于表面电阻的模型计算的蒸散发来自不同的水汽源,分别是通过 "大叶 "模型计算的彭曼-蒙蒂斯(PM)模型、区分土壤和冠层的沙特尔沃斯-华莱士(SW)模型、区分冠层和冠层下土壤以及裸露土壤的结块(C)模型、季节结块 (Cj) 模型将蒸散发分为阳光照射叶片和遮荫叶片的蒸腾、裸露土壤表面的蒸发、冠层间隙部分的阳光照射土壤表面以及冠层遮荫土壤表面的蒸散发。在 2014、2015 和 2017 年,通过称重式蒸渗仪测量的蒸散发、汁液通量法蒸腾以及微量水分测定仪测量的土壤蒸发对模型进行了校准。结果表明,在玉米完全生长阶段,测得的日蒸腾量为 3.32 毫米/天,测得的平均日土壤蒸发量为 1.46 毫米/天。蒸腾用液流法和土壤蒸发用微量蒸发仪法在测量日蒸散量方面的表现与大加权蒸发仪法一致。在模拟每小时蒸腾量与测量每小时蒸腾量的对比中,Cj 模型的斜率为 0.94,判定系数(R2)为 0.85,平均绝对误差(MAE)为 0.08 毫米/小时,修正一致指数(d)为 0.81,表现优于 C 模型。在模拟土壤日蒸发量时,Cj 模型的斜率也比 C 和 SW 模型高,平均绝对误差也比它们小。不过,Cj 模型模拟的日蒸散发与实测的日蒸散发之间的斜率和 d 均有所增大,而 MAE 则有所减小。Cj 模型中最敏感的环境因素是温度。温度上升 50%,蒸散发、蒸腾和蒸发分别增加 45%、36% 和 69%。总之,Cj 模型提高了玉米每小时和每天蒸散发的精确度,并有助于分离植物蒸腾和土壤蒸发,从而为玉米种植系统水分管理中的精确灌溉提供了一种可用的方法。
Comparison of surface resistance-based models for estimating maize evapotranspiration in a humid region of China
Accurate simulation of evapotranspiration (ET) is essential to enhance efficient irrigation management in the maize field. Here, we evaluated the performance of four mathematical models for estimating the ET of maize. The four models based on surface resistance calculate ET from different vapor sources, which are Penman-Monteith (PM) through the “big leaf” model, the Shuttleworth-Wallace (SW) model for distinguishing between soil and canopy, the clumping (C) model for distinguishing between canopy, soils under the canopy and bare soil, and the seasonal clumping (Cj) model for dividing ET into transpiration of sunlit leaves and shaded leaves, evaporation of bare soil surface, sunlit soil surface of canopy gap fraction, and canopy shaded soil surfaces. The models were calibrated by ET measured from a weighing lysimeter, transpiration by the sap flux method, and soil evaporation by micro-lysimeters in 2014, 2015, and 2017. Results showed that the measured daily transpiration was 3.32 mm/day during the full-grown stage of maize, and the mean measured daily soil evaporation was 1.46 mm/day. The performance of the sap flow for transpiration plus micro-lysimeter for soil evaporation method was consistent with the large-weighted lysimeter method in measuring daily ET. For simulating versus measuring hourly transpiration, the Cj model performed better than the C model with a slope of 0.94, determination coefficient (R2) of 0.85, mean absolute error (MAE) of 0.08 mm/h, and modified agreement index (d) of 0.81. In simulating daily soil evaporation, the Cj model also had a higher slope and less MAE than the C and SW models. Nevertheless, the Cj model yielded increased slope and d and decreased MAE between simulated and measured daily ET. The most sensitive environmental factor in the Cj model is temperature. With a 50% increase in temperature, ET, transpiration, and evaporation increase by 45%, 36%, and 69%, respectively. In summary, the Cj model improved the accuracy for hourly and daily ET of maize and helped separate plant transpiration and soil evaporation, thus giving an available approach for precision irrigation in water management of maize planting systems.
期刊介绍:
JAWRA seeks to be the preeminent scholarly publication on multidisciplinary water resources issues. JAWRA papers present ideas derived from multiple disciplines woven together to give insight into a critical water issue, or are based primarily upon a single discipline with important applications to other disciplines. Papers often cover the topics of recent AWRA conferences such as riparian ecology, geographic information systems, adaptive management, and water policy.
JAWRA authors present work within their disciplinary fields to a broader audience. Our Associate Editors and reviewers reflect this diversity to ensure a knowledgeable and fair review of a broad range of topics. We particularly encourage submissions of papers which impart a ''take home message'' our readers can use.