Determining reclaimed water quality thresholds and farming practices to improve food crop yield: A meta-analysis combined with random forest model

Sci Total Environ. 2023 Mar 1:862:160774. doi: 10.1016/j.scitotenv.2022.160774. Epub 2022 Dec 10.

Abstract

Irrigated agricultural systems with reclaimed water (RW) play a crucial role in alleviating global water scarcity and increased food demand. However, appropriate reclaimed water quality thresholds and farming practices to improve food crop yield is virtually unclear. Therefore, for the first time, this study made a large compilation of previous studies using meta-analysis combined with a random forest (RF) model and analyzed the impact of RW versus freshwater (FW) on the yield of food crops (cereals, vegetables, and fruits). It was found that magnesium ion (Mg2+), calcium ion (Ca2+), electrical conductivity (EC), total nitrogen (TN), and potential of hydrogen (pH) were the most important factors for RW quality indicators. Based on the results, water managers should establish more conservative RW quality thresholds to promote food crop production, especially for salts and pollutants in RW. Compared to international water quality standards, it could be slightly relaxed the restrictions of TN in RW. The optimal farming practices obtained that irrigation amount of the mixed RW and FW (RW + FW) was from 1000 m3 ha-1 to 5000 m3 ha-1, and the cultivation period was no more than three years. Flood irrigation (FI) and drip irrigation (DI) for cereals were also recommended. Finally, a comparison of the determined results from this method with other scenarios published, finding a good agreement.

Keywords: Crop production; Cultivation period; Irrigated agriculture; Irrigation amount; Total nitrogen; Water quality indicators.

Publication types

  • Meta-Analysis

MeSH terms

  • Agricultural Irrigation* / methods
  • Agriculture
  • Random Forest
  • Wastewater
  • Water Quality*

Substances

  • Wastewater