{"title":"线性移动洒水系统的变速率灌溉均匀性模型","authors":"Junping Liu, Umair Gull, D. Putnam, Isaya Kisekka","doi":"10.13031/trans.14313","DOIUrl":null,"url":null,"abstract":"HighlightsUsing different nozzle sizes on a linear-move sprinkler irrigation system is a simple method for implementing VRI.This study established a variable-rate sprinkler irrigation model for a linear-move system with different nozzles.Uniformity parameters were predicted for different tests, and prediction accuracy ranged from 1.6% to 13.0%.The simulation model can be applied to other sprinkler systems with variable-rate irrigation.Abstract. Variable-rate irrigation (VRI) can vary the application rate by either changing the amount of water flowing through sprinkler nozzles (zone control) or varying the speed of a moving irrigation system across parts of a field, referred to as speed/sector control. The uniformity of sprinkler irrigation in each management zone under VRI directly affects crop growth and yield. The use of different nozzle diameters on a linear-move sprinkler irrigation system is a simple and affordable method for achieving VRI. There are few studies on modeling the uniformity of VRI on linear-move sprinkler irrigation systems. In this study, a cubic spline difference-value model was used to simulate the variable-rate water distribution and uniformity of a linear-move system. Nine tests were designed to evaluate VRI uniformity with different nozzle diameters. A simulation and corresponding field experiments were carried out. The application rate of the simulation model was higher than the experimental values because of wind drift. The uniformity coefficients of the simulation with nozzle diameters of 1.98, 2.97, and 4.17 mm in tests 1, 2, and 3 were 86.56%, 85.24%, and 79.94%, respectively. The uniformity coefficients of the VRI simulations with combinations of nozzle diameters in tests 4 through 9 were 76.89%, 80.70%, 76.67%, 69.58%, 76.64%, and 81.87%, respectively. The smallest error between the simulation and experiment was 1.6%, and the largest error was 13.0%. The simulation model and prediction method can be applied to other sprinkler irrigation systems. Keywords: Linear move, Simulation model, Sprinkler irrigation, Uniformity, VRI.","PeriodicalId":23120,"journal":{"name":"Transactions of the ASABE","volume":"49 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Variable-Rate Irrigation Uniformity Model for Linear-Move Sprinkler Systems\",\"authors\":\"Junping Liu, Umair Gull, D. Putnam, Isaya Kisekka\",\"doi\":\"10.13031/trans.14313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"HighlightsUsing different nozzle sizes on a linear-move sprinkler irrigation system is a simple method for implementing VRI.This study established a variable-rate sprinkler irrigation model for a linear-move system with different nozzles.Uniformity parameters were predicted for different tests, and prediction accuracy ranged from 1.6% to 13.0%.The simulation model can be applied to other sprinkler systems with variable-rate irrigation.Abstract. Variable-rate irrigation (VRI) can vary the application rate by either changing the amount of water flowing through sprinkler nozzles (zone control) or varying the speed of a moving irrigation system across parts of a field, referred to as speed/sector control. The uniformity of sprinkler irrigation in each management zone under VRI directly affects crop growth and yield. The use of different nozzle diameters on a linear-move sprinkler irrigation system is a simple and affordable method for achieving VRI. There are few studies on modeling the uniformity of VRI on linear-move sprinkler irrigation systems. In this study, a cubic spline difference-value model was used to simulate the variable-rate water distribution and uniformity of a linear-move system. Nine tests were designed to evaluate VRI uniformity with different nozzle diameters. A simulation and corresponding field experiments were carried out. The application rate of the simulation model was higher than the experimental values because of wind drift. The uniformity coefficients of the simulation with nozzle diameters of 1.98, 2.97, and 4.17 mm in tests 1, 2, and 3 were 86.56%, 85.24%, and 79.94%, respectively. The uniformity coefficients of the VRI simulations with combinations of nozzle diameters in tests 4 through 9 were 76.89%, 80.70%, 76.67%, 69.58%, 76.64%, and 81.87%, respectively. The smallest error between the simulation and experiment was 1.6%, and the largest error was 13.0%. The simulation model and prediction method can be applied to other sprinkler irrigation systems. Keywords: Linear move, Simulation model, Sprinkler irrigation, Uniformity, VRI.\",\"PeriodicalId\":23120,\"journal\":{\"name\":\"Transactions of the ASABE\",\"volume\":\"49 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transactions of the ASABE\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.13031/trans.14313\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AGRICULTURAL ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of the ASABE","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.13031/trans.14313","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
Variable-Rate Irrigation Uniformity Model for Linear-Move Sprinkler Systems
HighlightsUsing different nozzle sizes on a linear-move sprinkler irrigation system is a simple method for implementing VRI.This study established a variable-rate sprinkler irrigation model for a linear-move system with different nozzles.Uniformity parameters were predicted for different tests, and prediction accuracy ranged from 1.6% to 13.0%.The simulation model can be applied to other sprinkler systems with variable-rate irrigation.Abstract. Variable-rate irrigation (VRI) can vary the application rate by either changing the amount of water flowing through sprinkler nozzles (zone control) or varying the speed of a moving irrigation system across parts of a field, referred to as speed/sector control. The uniformity of sprinkler irrigation in each management zone under VRI directly affects crop growth and yield. The use of different nozzle diameters on a linear-move sprinkler irrigation system is a simple and affordable method for achieving VRI. There are few studies on modeling the uniformity of VRI on linear-move sprinkler irrigation systems. In this study, a cubic spline difference-value model was used to simulate the variable-rate water distribution and uniformity of a linear-move system. Nine tests were designed to evaluate VRI uniformity with different nozzle diameters. A simulation and corresponding field experiments were carried out. The application rate of the simulation model was higher than the experimental values because of wind drift. The uniformity coefficients of the simulation with nozzle diameters of 1.98, 2.97, and 4.17 mm in tests 1, 2, and 3 were 86.56%, 85.24%, and 79.94%, respectively. The uniformity coefficients of the VRI simulations with combinations of nozzle diameters in tests 4 through 9 were 76.89%, 80.70%, 76.67%, 69.58%, 76.64%, and 81.87%, respectively. The smallest error between the simulation and experiment was 1.6%, and the largest error was 13.0%. The simulation model and prediction method can be applied to other sprinkler irrigation systems. Keywords: Linear move, Simulation model, Sprinkler irrigation, Uniformity, VRI.
期刊介绍:
This peer-reviewed journal publishes research that advances the engineering of agricultural, food, and biological systems. Submissions must include original data, analysis or design, or synthesis of existing information; research information for the improvement of education, design, construction, or manufacturing practice; or significant and convincing evidence that confirms and strengthens the findings of others or that revises ideas or challenges accepted theory.