Top

Water Resources Management

Published in:

04-12-2023

Application of Hydraulic Sensitivity Indicators in Improving Canal Control Capabilities for Irrigation Systems

Authors: Yumiao Fan, Xiaohui Jin, Haorui Chen, Yawei Hu, Zhanyi Gao

Published in: Water Resources Management | Issue 2/2024

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Water management in irrigation systems is crucial for ensuring food and water security. Irrigation canals must be appropriately managed for efficient utilization of agricultural water resources. Ensuring timely, sufficient, safe, and effective water delivery poses challenges attributed to the operational and regulatory complexities associated with irrigation canals. Sensitivity analysis was used to analyze the canal response behavior after hydraulic regulation or external disturbance, supporting the decision to regulate the canal. Herein, two hydraulic sensitivity indicators, offtake discharge sensitivity and water level sensitivity, were selected based on the main concerns in canal operation. The influence of different hydraulic elements on the sensitivity indicators was analyzed, and the fitting formulas for the hydraulic sensitivity indicators were derived. Based on the analysis results, measures such as increasing the water level before the offtake, reducing the elevation difference between the diversion and parent canal, and using the arc-bottom trapezoidal cross-section can be used by canal managers to reduce canal sensitivity. The results of this study can provide theoretical support for improving the rationality of canal regulation and the service level of irrigation projects.

previous article Assessing the Effect of Future Climate Change on Drought Characteristics and Propagation from Meteorological to Hydrological Droughts—A Comparison of Three Indices

next article A Multi-Task Learning Based Runoff Forecasting Model for Multi-Scale Chaotic Hydrological Time Series

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Boutraa T (2010) Improvement of water use efficiency in irrigated agriculture: a review. J Agron 9(1):1–8. https://doi.org/10.3923/ja.2010.1.8CrossRef

Bozorgzadeh E, Mousavi SJ (2023) Water-constrained green development framework based on economically-allocable water resources. Sci Rep 13:5306. https://doi.org/10.1038/s41598-023-31550-7CrossRef

Bwambale E, Abagale FK, Anornu GK (2023) Data-driven model predictive control for precision irrigation management. Smart Agricultural Technology 3:100074. https://doi.org/10.1016/j.atech.2022.100074CrossRef

Cantoni M, Weyer E, Li Y, Ooi SK, Mareels I, Ryan M (2007) Control of large-scale irrigation networks. Proc IEEE 95(1):75–91. https://doi.org/10.1109/JPROC.2006.887289CrossRef

Clemmens AJ, Sloan G, Schuurmans J (1994) Canal-control needs: example. J Irrig Drain Eng 120(6):1067–1085. https://doi.org/10.1061/(ASCE)0733-9437(1994)120:6(106CrossRef

Conde G, Quijano N, Ocampo-Martinez C (2021) Modeling and control in open-channel irrigation systems: A review. Annu Rev Control 51:153–171. https://doi.org/10.1016/j.arcontrol.2021.01.003CrossRef

Fan Y, Chen H, Gao Z, Fan Y, Chang X, Yang M, Fang B (2023) Water distribution and scheduling model of an irrigation canal system. Comput Electron Agric 209:107866. https://doi.org/10.1016/j.compag.2023.107866CrossRef

Fan Y, Gao Z, Wang S, Chen H, Liu J (2018) Evaluation of the water allocation and delivery performance of Jiamakou Irrigation Scheme, Shanxi, China. Water 10(5):654. https://doi.org/10.3390/w10050654

Farooq M, Hussain A, Hashim S, Yang L, Ali M (2020) Automated Irrigation System based on irrigation gates using fuzzy logic. 2020 International Conference on Internet of Things and Intelligent Applications. IEEE 1–5. https://doi.org/10.1109/ITIA50152.2020.9312344

Hoshiyar SMS, Pirmoradian N, Ashrafzadeh A, Rizi AP (2021) Performance assessment of a water delivery canal to improve agricultural water distribution. Water Resour Manage 35(8):2487–2501CrossRef

Khafaji MSA, Alwan IA, Khalaf AG, Bhat SA, Kuriqi A (2022) Potential use of groundwater for irrigation purposes in the Middle Euphrates region. Iraq Sustain Water Resour Manag 8:157. https://doi.org/10.1007/s40899-022-00749-3CrossRef

Kong L, Quan J, Yang Q, Song P, Zhu J (2019) Automatic control of the middle route project for South-to-North water transfer based on linear model predictive control algorithm. Water 11(9):1873. https://doi.org/10.3390/w11091873CrossRef

Kouchakzadeh S, Montazar A (2005) Hydraulic sensitivity indicators for canal operation assessment. Irrig Drain 54(4):443–454. https://doi.org/10.1002/ird.196CrossRef

Lamaddalena N, Fouial A (2019) Sensitivity indicator for pressurized irrigation distribution systems. Water Resour Manage 33:1985–1998. https://doi.org/10.1007/s11269-019-02224-9CrossRef

Mahbub SI, Gulhati ND (1951) Irrigation outlets. Atma Ram and Sons, Delhi

Munier S, Belaud G, Litrico X (2010) Closed-form expression of the response time of an open channel. J Irrig Drain Eng 136(10):677–684. https://doi.org/10.1061/(ASCE)IR.1943-4774.00002CrossRef

Playán E, Mateos L (2006) Modernization and optimization of irrigation systems to increase water productivity. Agric Water Manag 80(1–3):100–116. https://doi.org/10.1016/j.agwat.2005.07.007CrossRef

Renault D (2000a) Operational sensitivity of irrigation structures. J Irrig Drain Eng 126(3):157–162. https://doi.org/10.1061/(ASCE)0733-9437(2000)126:3(157)CrossRef

Renault D (2000b) Aggregated hydraulic sensitivity indicators for irrigation system behavior. Agric Water Manag 43(2):151–171. https://doi.org/10.1016/S0378-3774(99)00059-1CrossRef

Renault D, Hemakumara HM (1999) Irrigation offtake sensitivity. J Irrig Drain Eng 125(3):131–136. https://doi.org/10.1061/(ASCE)0733-9437(1999)125:3(131)CrossRef

Salem AK, Imam YE, Ghanem AH, Bazaraa AS (2022) Genetic algorithm based model for optimal selection of open channel design parameters. Water Resour Manage 36(15):5867–5896. https://doi.org/10.1007/s11269-022-03323-wCrossRef

Schuurmans W (1990) Analytical formulae for the response time of irrigation canals. Irrig Drain Syst 4(1):37–58. https://doi.org/10.1007/BF01145972CrossRef

Seyedjavad MS, Mashal M, Montazar A (2014) Evaluation of hydraulic sensitivity indicators for Baffle modules (Case study: Varamin irrigation and drainage network). Journal of Hydraulic Structures 1(2):33–43. https://doi.org/10.22059/jwim.2014.53038

Shahdany SMH, Firoozfar AR (2017) Providing a reliable water level control in main canals under significant inflow fluctuations at drought periods within canal automation. Water Resour Manage 31(11):3343–3354. https://doi.org/10.1007/s11269-017-1671-0CrossRef

Shahrokhnia MA, Javan M (2009) Influence of cross-regulator settings on the offtake discharge in a modern irrigation network. Irrig Sci 27(2):165–173. https://doi.org/10.1007/s00271-008-0133-0CrossRef

Shahverdi K, Monem MJ (2022) Irrigation canal control using enhanced fuzzy SARSA learning. Irrig Drain 71(3):766–775. https://doi.org/10.1002/ird.2684CrossRef

Zhang F, He C, Fan Y, Hao X, Kang S (2022) Canal delivery and irrigation scheduling optimization based on crop water demand. Agric Water Manag 260:107245. https://doi.org/10.1016/j.agwat.2021.107245CrossRef

Zhu Z, Guan G, Wang K (2023a) Distributed model predictive control based on the alternating direction method of multipliers for branching open canal irrigation systems. Agric Water Manag 285:108372. https://doi.org/10.1016/j.agwat.2023.108372CrossRef

Zhu Z, Guan G, Tian X, Shahdany SMH, Wang K (2023b) Integrator Dual-Delay model for advanced controller design of the open canal irrigation systems with multiple offtakes. Comput Electron Agric 205:107616. https://doi.org/10.1016/j.compag.2023.107616CrossRef

Title: Application of Hydraulic Sensitivity Indicators in Improving Canal Control Capabilities for Irrigation Systems
Authors: Yumiao Fan
Xiaohui Jin
Haorui Chen
Yawei Hu
Zhanyi Gao
Publication date: 04-12-2023
Publisher: Springer Netherlands
Published in: Water Resources Management / Issue 2/2024
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-023-03680-0

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Other articles of this Issue 2/2024

A Gradient Smoothing Technique-Based S-FEM for Simulating the Full Impacts of Anomalies on Seepage Solutions and its Application in Multi-Parameter Seepage Inversion

A Set Pair Analysis Method for Assessing and Forecasting Water Conflict Risk in Transboundary River Basins

A GPU-Accelerated Full 2D Shallow Water Model Using an Edge Loop Method on Unstructured Meshes: Implementation and Performance Analysis

Research on the Degree of Non-Stationarity in Extreme Precipitation in the Continental United States

Streamflow Data Infilling Using Machine Learning Techniques with Gamma Test

Data-Driven Dam Outflow Prediction Using Deep Learning with Simultaneous Selection of Input Predictors and Hyperparameters Using the Bayesian Optimization Algorithm