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Short-term climate change influence on surface water quality impacts from agricultural activities

  • Bekir Cem Avcı
  • , Erdal Kesgin*
  • , Masume Atam
  • , Remziye Ilayda Tan
  • , Mohamed Abdelkader
  • *Corresponding author for this work
  • Bogazici University
  • Fatih Sultan Mehmet Vakif Universitesi
  • Stevens Institute of Technology

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Climate change is a global phenomenon that directly affects agriculture by altering crop yield, nutritional quality, pests, and plant diseases. The North Aegean Basin located in Turkey has considerable agricultural importance due to its fertile soils. Agricultural activities have increased significantly and uncontrollably in the last decade, resulting in dramatic changes in nitrate and phosphorus levels in surface water within the watershed. Changes in climatic conditions have the potential to impact the quantity and quality of water resources. Best management practices (BMPs) are presently utilized as a planning tool to enhance the quality of water resources. To develop policies in this regard, it is necessary to evaluate the effectiveness of BMPs. To this end, this study aims to investigate the potential effect of climate change on the surface water quality of the North Aegean Basin. For the period between 2010 and 2030, global climate data retrieved from Concentration Pathway (RCP) scenarios 4.5 and 8.5 and regionally downscaled were used to feed the Soil and Water Assessment Tool (SWAT) model. The various potential BMP scenarios were developed and simulated in the hydrological model by considering the effects of climate change. The RCP4.5 scenario reduced the precipitation by 15.11%, while the RCP8.5 scenario reduced the precipitation by 10.97%. Decreased precipitation also affected the runoff and the nutrient loads and concentrations. As a result of the RCP4.5 simulation, TP and TN concentrations increased by 24.42% and 58.45%, respectively, in the IST_KEN014 station. Improvements were observed in TN and TP concentrations with the effect of applied BMP simulations. Also, the results revealed that the applied BMP scenarios may contribute to considerable reductions in nutrient loads. Considering the RCP4.5 scenario, BMPs reduced TN loads in the basin by 2.42–10.97%, while reducing TP loads by around 3.60–16.81%. Considering the RCP8.5 scenario, the BMPs reduced the TN loads in the basin between 2.21 and 10.04%, while they reduced the TP loads between 3.57 and 16.67%.

Original languageEnglish
Pages (from-to)89581-89596
Number of pages16
JournalEnvironmental Science and Pollution Research
Volume30
Issue number38
DOIs
Publication statusPublished - Aug 2023

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  3. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  4. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Agricultural basin
  • Climate change
  • Nitrogen
  • Phosphorous
  • SWAT
  • Water quality

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