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Sustainable Irrigation System II

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (17 December 2022) | Viewed by 1561

Special Issue Editor

Department of Engineering, Universidad de Almeria, 04120 Almeria, Spain
Interests: irrigation; drip irrigation systems; water distribution networks; agricultural water management; PV irrigation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The world population has increased rapidly in recent decades, and the need for more agricultural products to feed this growing population is a paramount challenge. Irrigated agriculture plays a very important role in securing food due to its higher productivity. That is why irrigated agriculture has expanded throughout the world. Today, there are more than 275 million hectares of irrigated land. This area is about 18% of the total cultivated area, but it provides approximately 40% of the global food production (FAO). Despite its importance, irrigated agriculture is seriously threatened in many areas of the world. The high environmental impacts of the irrigation are also a major concern.

One of the most important threats that irrigated agriculture has to face is the growing scarcity of water resources devoted to irrigation. The problem is not only limited to water quantity but also to its quality. The increasing salinization of the groundwater in many irrigated areas of the world is another consequence of the poor irrigation water management that generates excessive return flows with a high salinity. The increasing effects of climate change are making things even worse, jeopardizing the sustainability of irrigation systems in the near future.

The development of more accurate irrigation scheduling methods and the expansion of efficient irrigation management practices are required measures intended to reduce the water consumption of irrigation systems and to avoid water losses by runoff or deep percolation that may cause the contamination of aquifers due to nitrates or pesticides. Promising cutting-edge technology, such as new climate, soil, and plant sensors; advanced wireless communications; information and communication techniques (ICTs); artificial intelligence (IA); and the Internet of Things (IoT), are being successfully implemented to improve irrigation scheduling and management.

In addition to the measures focused on reducing water consumption in irrigation, it is also necessary to increase the quantity of water resources. The use of non-conventional water resources, such as desalinated seawater or regenerated wastewater, is a measure that is being implemented today in many threatened irrigation districts.

The contribution of irrigated agriculture to climate change and global warming is another serious concern. Energy consumption in irrigation districts has increased drastically in recent years. This is a consequence of the modernization of traditional surface irrigation systems and their transformation to pressurized systems with the aim of reducing water losses. The rise in energy consumption poses an economic and environmental threat to irrigation systems. The use of techniques aiming to reduce energy consumption is urgently required. Among these techniques, the use of renewable sources of energy seems to be an appropriate solution to reduce the dependence of the irrigation districts on fuel fossils and to diminish the emission of greenhouse gasses. The use of PV irrigation systems is an active field of research today.

The studies of this Special Issue are expected to address the following topics:

  • Efficient and accurate irrigation scheduling methods that may contribute to the reduction of water consumption and groundwater contamination. New cutting-edge methods applied to the irrigation management;
  • The design and management of irrigation systems for improved efficiency, both at farm and irrigation district scales. Assessment of irrigation efficiency and productivity in irrigation districts;
  • Evaluation of nonpoint source pollution caused by the irrigated agriculture. Methods and policies to reduce its environmental impact;
  • Water resources planning studies intended to cope with scarcity and poor-quality irrigation;
  • Studies focused on encouraging the use of desalinated or regenerated water in agriculture;
  • Evaluation of the energy consumption of the irrigated agriculture and design and management of irrigation system that make use of renewable sources of energy;
  • Evaluation of the impact of climate change on irrigated agriculture, methods, and policies to cope with the problems caused by the climate change.

Dr. Juan Reca
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • irrigation scheduling and management
  • efficiency of irrigation water use
  • irrigation sustainability
  • irrigation environmental impacts
  • efficiency of energy use in irrigation
  • conventional and non-conventional water resources

Published Papers (1 paper)

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Research

25 pages, 4216 KiB  
Article
Modeling Probabilistic-Based Reliability Analysis for Irrigation Water Supply Due to Uncertainties in Hydrological and Irrigation Factors
by Shiang-Jen Wu, Jie-Sen Mai, Yi-Hong Lin and Keh-Chia Yeh
Sustainability 2022, 14(19), 12747; https://0-doi-org.brum.beds.ac.uk/10.3390/su141912747 - 06 Oct 2022
Cited by 3 | Viewed by 1135
Abstract
This study aims to model a probabilistic-based reliability analysis, named the RA_IWS_Canal model, for calculating the probability of the irrigation water supply exceeding the water demand (i.e., reliability) within a multi-canal irrigation zone due to variations in hydrological and irrigation uncertainty factors. The [...] Read more.
This study aims to model a probabilistic-based reliability analysis, named the RA_IWS_Canal model, for calculating the probability of the irrigation water supply exceeding the water demand (i.e., reliability) within a multi-canal irrigation zone due to variations in hydrological and irrigation uncertainty factors. The proposed RA_IWS_Canal model is developed by coupling uncertainty and risk analysis with a logistic regression equation. The Zhudong irrigation zone, located within the Touqian River watershed in northern Taiwan, was selected as the study area, with the inflow from Shanping Weir, water supplies at 15 irrigation canals, and water intakes of two reservoirs (Baoshan and Baoshan II) and a water treatment plant (Yuandon); 1000 simulations of 10-day irrigation water allocations and resulting exceedance probabilities of the water supplies at the 15 canals were achieved using the multivariate Monte Carlo simulation and the uncertainty with the water allocation model (RIBASIM), and employed in the development of the proposed RA_IWS_Canal model. The model development and application results indicate that the uncertainty factors and the inflow from Shanping Weir markedly and positively influence the exceedance probability of the canal-based irrigation water supply to boost the corresponding reliability (about 0.8). The water intake of the Baoshan Reservoir has a lower relationship (by 0.19) than the Yuandon water treatment plant with the reliabilities of the irrigation water supplies at its downstream canals. As a result, the proposed RA_IWS_Canal model can evaluate the effect of not only the canal-based uncertainty factors, but also the regional features on the irrigation water supply reliability. In addition, using the proposed RA_IWS_Canal model, the planned irrigation water demands at various canals within a multi-canal irrigation zone could be accordingly formulated based on acceptable reliability. Full article
(This article belongs to the Special Issue Sustainable Irrigation System II)
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