Developing Irrigation Management at District Scale Based on Water Monitoring: Study on Lis Valley, Portugal

Irrigation districts play a decisive role in Portuguese agriculture and require the adaptation to the new water management paradigm through a change in technology and practices compatible with farmers’ technical know-how and economic sustainability. Therefore, improvement of water management, focusing on water savings and increasing farmers’ income, is a priority. In this perspective, an applied research study is being carried out on the gravity-fed Lis Valley Irrigation District to assess the performance of collective water supply, effectiveness of water pumping, and safety of crop production due to the practice of reuse of drainage water. The water balance method was applied at irrigation supply sectors, including gravity and Pumping Irrigation Allocation. The average 2018 irrigation water allocated was 7400 m3/ha, being 9.3% by pumping recharge, with a global efficiency of about 67%. The water quality analysis allowed identifying some risk situations regarding salinization and microbiological issues, justifying action to solve or mitigate the problems, especially at the level of the farmers’ fields, according to the crops and the irrigation systems. Results point to priority actions to consolidate improved water management: better maintenance and conservation of infrastructure of hydraulic infrastructures to reduce water losses and better flow control; implementation of optimal operational plans, to adjust the water demand with distribution; improvement of the on-farm systems with better water application control and maintenance procedures; and improvement of the control of water quality on the water reuse from drainage ditches. The technological innovation is an element of the modernization of irrigation districts that justifies the development of multiple efforts and synergies among stakeholders, namely farmers, water users association, and researchers.

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Frontier: Drainage Water Recycling in the Humid Regions of the U.S.: Challenges and Opportunities

Transactions of the ASABE ◽

10.13031/trans.14207 ◽

2021 ◽

Vol 64 (3) ◽

pp. 1095-1102

Author(s):

Christopher H. Hay ◽

Benjamin D. Reinhart ◽

Jane R. Frankenberger ◽

Matthew J. Helmers ◽

Xinhua Jia ◽

...

Keyword(s):

Water Quality ◽

Water Reuse ◽

Crop Production ◽

Drainage Water ◽

List Type ◽

Water Recycling ◽

Supplemental Irrigation ◽

Challenges And Opportunities ◽

Advance Drainage ◽

Drainage Water Reuse

HighlightsDrainage water recycling captures and stores agricultural drainage water for reuse as supplemental irrigation.Drainage water recycling can both increase crop production and benefit downstream water quality.Depending on management, drainage water recycling can also provide other complementary benefits.Research needs to advance drainage water recycling are presented and discussed. Keywords: Drainage water quality, Drainage water reuse, Subsurface drainage, Supplemental irrigation, Agricultural resiliency.

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Measured Effect of Agricultural Drainage Water Management on Hydrology, Water Quality, and Crop Yield

10.13031/2013.32147 ◽

2010 ◽

Cited By ~ 2

Author(s):

Mark Sunohara ◽

Mohamed A Youssef ◽

Edward Topp ◽

David R Lapen

Keyword(s):

Water Management ◽

Water Quality ◽

Crop Yield ◽

Drainage Water ◽

Agricultural Drainage ◽

Agricultural Drainage Water ◽

Drainage Water Management ◽

Measured Effect

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Assessing drainage water reuse options in Bojili Irrigation District, Shandong

Irrigation and Drainage ◽

10.1002/ird.273 ◽

2006 ◽

Vol 55 (5) ◽

pp. 463-477 ◽

Cited By ~ 6

Author(s):

P. S. Minhas ◽

N. K. Tyagi ◽

S. K. Gupta ◽

K. L. Dong ◽

L. G. Cai ◽

...

Keyword(s):

Water Reuse ◽

Drainage Water ◽

Irrigation District ◽

Drainage Water Reuse ◽

Reuse Options

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Assessing the Agricultural Drainage Water with Water Quality Indices in the El-Salam Canal Mega Project, Egypt

Water ◽

10.3390/w11051013 ◽

2019 ◽

Vol 11 (5) ◽

pp. 1013 ◽

Cited By ~ 3

Author(s):

Walaa Assar ◽

Mona G. Ibrahim ◽

Wael Mahmod ◽

Manabu Fujii

Keyword(s):

Water Quality ◽

Fuzzy Logic ◽

Water Reuse ◽

Water Resource Management ◽

Drainage Water ◽

Polluted Water ◽

Chi Square ◽

Fuzzy Logic Approach ◽

Chi Square Test ◽

Logic Approach

The water quality index (WQI) is considered one of the most promising methods for the classification of water quality (WQ), which also contributes to water resource management. This study adopted the irrigation WQ index (IWQI) and an analogous index based on a fuzzy logic approach, namely, the fuzzy logic water reuse index (FWRI) to assess the water quality in the El-Salam canal project in Egypt where agriculture drainage water (ADW) is expected to be reused for irrigation. Simulated WQ data using a one-dimensional hydrodynamic model indicated that the WQ deteriorated towards the downstream of the canal due to the polluted water discharged from canal feeders (e.g., the El-Serw and Bahr Hadous drains). The comparison of the FWRI and IWQI indices showed that the FWRI was more sensitive to variations in the WQ parameters compared to the IWQI. In contrast, the Z-test indicated that the indices have different statistical properties. Moreover, a chi-square test (X2) illustrated that the FWRI and IWQI values can both reasonably explain the current situation. However, the FWRI was more relevant to the official classification than the IWQI. Overall, the FWRI proved its capability and accuracy for the assessment of water quality in the El-Salam canal.

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Assessing the potential of digitalization by real-time monitoring of bacterial concentration in urban water systems

10.5194/egusphere-egu2020-19909 ◽

2020 ◽

Author(s):

Nicolas Caradot ◽

Wolfgang Seis ◽

Dan Angelescu ◽

Vaizanne Huynh ◽

Andreas Hausot ◽

...

Keyword(s):

Water Management ◽

Water Quality ◽

Wastewater Treatment ◽

Wastewater Treatment Plant ◽

Temporal Variability ◽

Water Reuse ◽

Treatment Plant ◽

Alert System ◽

Bathing Water ◽

Bathing Water Quality

<div> Digital solutions open up a variety of opportunities for the water sector. Digital water is now seen not as an &#8216;option&#8217; but as an &#8216;imperative&#8217; (Sarni et al., 2019) for a more sustainable and secure water management. Many solutions leverage the latest innovations developed across industries and business activities including advanced sensors, data analytics and artificial intelligence. The potential of digitalization might outweigh its associated risk if digital solutions are successfully implemented addressing a series of gaps and barriers such as ICT governance, cybersecurity, data protection, interoperability and capacity building. Within this context, the H2020 innovation project digital-water.city (DWC) aims at boosting the integrated management of waters systems in five major European cities &#8211;&#160;Berlin, Copenhagen, Milan, Paris and Sofia&#160;&#8211; by leveraging the potential of data and digital technologies. Goal is to quantify the benefits of a panel of 15 innovative digital solutions and achieve their long-term uptake and successful integration in the existing digital systems and governance processes. One of these promising technology is a new sensor for real-time bacterial measurements, manufactured by the company Fluidion (ALERT System; Angelescu et al., 2019). The device is fully autonomous, remotely controllable, installed in-situ and allows rapid quantification of E.coli and enterococci&#160;concentrations. Ensuring microbial safety is one of the key objectives of bathing water management, and it is also a critical aspect for water reuse. The European Bathing Water Directive (BWD) (76/160/EEC, 2006) uses fecal indicator bacteria for quality assessment of marine and inland waters. A major challenge regarding bathing water management is that concentrations of fecal bacteria may show spatial and temporal variability. In urban rivers, discharges from CSO and stormwater may contain high amounts of fecal bacteria and contaminate bathing water quality. Bathing water surveillance in Europe is only based on monthly grab samples and event-scale variability is detected only by chance as pollution events may occur between sampling intervals. The ALERT System is currently tested in Berlin and Paris using side by side laboratory comparison to understand temporal variability and spatial bacterial distribution in the local rivers (Seine, Marne and Spree). In Milan, the system is being deployed to provide early warning of bacterial and toxic contamination linked to water reuse at a major wastewater treatment plant. Preliminary analysis have shown that the device shows metrological capabilities comparable to those of an approved laboratory using MPN microplate techniques and is suitable for bacterial pollutant concentration ranges such as urban streams and wastewater treatment plant. The technology opens up new opportunities for the water sector for a range of applications such as the planning of pollution reduction measures, the continuous monitoring of bathing water quality and the assessment of contamination risk by the reuse of treated wastewater for irrigation. In particular, it is a key innovation to contribute to the objective of Paris city and other local municipalities to provide permanent and safe opportunities for bathing in the Seine river for the 2024 Olympic and Paralympic Games, and beyond. </div>

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Drainage water quality and end-member identification in La Violada irrigation district (Spain)

Journal of Hydrology ◽

10.1016/j.jhydrol.2009.12.026 ◽

2010 ◽

Vol 382 (1-4) ◽

pp. 154-162 ◽

Cited By ~ 3

Author(s):

D. Isidoro ◽

D. Quílez ◽

R. Aragüés

Keyword(s):

Water Quality ◽

Drainage Water ◽

Irrigation District

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Reuse of Agriculture Drainage Water in a Mixed Land-Use Watershed

Agronomy ◽

10.3390/agronomy9010006 ◽

2018 ◽

Vol 9 (1) ◽

pp. 6 ◽

Cited By ~ 4

Author(s):

Agbortoko Ashu ◽

Sang-Il Lee

Keyword(s):

Water Quality ◽

Fresh Water ◽

Water Demand ◽

Water Reuse ◽

Simulation Optimization ◽

Drainage Water ◽

Agricultural Drainage ◽

Jaya Algorithm ◽

Quality Model ◽

Mixed Land Use

Water demand in Korea has triggered the need for fresh water to be used for agriculture. Agricultural drainage water (ADW) is a way of coping with the growing demand for fresh water for agriculture. In this study, a water quality model (WQM), and an algorithm were used in order to determine the water quality and optimize the water reuse quantity in the Osan stream drain, South Korea. The water quality associated with the drain was stimulated using the QUAL2Kw model and the uncertainty analysis and sensitivity analysis with the use of Monte Carlos Simulation was performed to determine the performance of the WQM. Jaya algorithm technology was used as an optimization tool to find optimal ADW reuse quantities at particular withdrawal points. For calibration and validation, the model was applied twice for both summer and winter seasons. The results show that the reuse quantities represent 77.2% and 49.8% of the available ADW in the study area for summer and winter, respectively, representing 49.1% and 54.5% of seasonal canal delivery. The utilization of the simulation-optimization model is usually well suited for decision support leading to near-optimum reuse assortment of ADW for irrigation.

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