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Salt accumulation in soils and plants under reclaimed water irrigation in urban parks of Madrid (Spain)

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  • Zalacáin, David
  • Martínez-Pérez, Silvia
  • Bienes, Ramón
  • García-Díaz, Andrés
  • Sastre-Merlín, Antonio

Abstract

Reclaimed water irrigation in urban parks is expanding all over the world and could cause salt accumulation in soil and plants. Since the beginning of the 2000s, the city of Madrid (Spain) has been using reclaimed water to irrigate its parks. The main aim of this study was to estimate salt accumulation in soils and plants due to reclaimed water irrigation in two urban parks of Madrid. It was conducted over five consecutive years and the chemical properties in soil solution, soil and plant leaves of four species were analyzed. Two plots from each park were selected, one irrigated with reclaimed water (RW) and another one irrigated with drinking water (DW).

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  • Zalacáin, David & Martínez-Pérez, Silvia & Bienes, Ramón & García-Díaz, Andrés & Sastre-Merlín, Antonio, 2019. "Salt accumulation in soils and plants under reclaimed water irrigation in urban parks of Madrid (Spain)," Agricultural Water Management, Elsevier, vol. 213(C), pages 468-476.
    • Handle: RePEc:eee:agiwat:v:213:y:2019:i:c:p:468-476
    DOI: 10.1016/j.agwat.2018.10.031
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    4. Mohamed S. Shokr & Mostafa. A. Abdellatif & Ahmed A. El Baroudy & Abdelrazek Elnashar & Esmat F. Ali & Abdelaziz A. Belal & Wael. Attia & Mukhtar Ahmed & Ali A. Aldosari & Zoltan Szantoi & Mohamed E. , 2021. "Development of a Spatial Model for Soil Quality Assessment under Arid and Semi-Arid Conditions," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    5. Jiaxin Cui & Ping Li & Xuebin Qi & Shafeeq Ur Rahman & Zulin Zhang, 2022. "Changes of Microbial Diversity in Rhizosphere of Different Cadmium-Gradients Soil under Irrigation with Reclaimed Water," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    6. Radwa A. El Behairy & Hasnaa M. El Arwash & Ahmed A. El Baroudy & Mahmoud M. Ibrahim & Elsayed Said Mohamed & Nazih Y. Rebouh & Mohamed S. Shokr, 2024. "An Accurate Approach for Predicting Soil Quality Based on Machine Learning in Drylands," Agriculture, MDPI, vol. 14(4), pages 1-24, April.

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