A statistical model for remediation plan of endosulfan-contaminated lowland rice fields with agricultural waste. Issue 1 (February 2021)

• Record Type: Journal Article
• Authors: Harsanti, E S; Ardiwinata, A N; Zulaehah, I; Hidayah, A
• Is Part Of: IOP conference series. Volume 648:Issue 1(2021)
• Publication Date: 2021-02
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/648/1/012207
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Persistent Organic Pollutants (POPs) compounds are still found in agricultural land in Indonesia. One of them is α-endosulfan which is a potent insecticide in the green revolution era. Remediation of agricultural contaminated land is needed to be a sustainable benefit. The purpose of the research is to develop a statistical model of sustainable remediation with agricultural waste in α-endosulfan-contaminated lowland rice fields. The study was conducted from June 2015 to May 2016 with experimental methods in the screenhouse. The experiment used a completely randomized design (CRD) with seven treatments of combinations of biochar-compost manure, and three replications. The results showed different equation models in the first planting season and the second planting season. The model illustrates that α-endosulfan contamination 0.16 mg g −1 can be reduced to be below MRL by adding biochar-compost ratio 1:4. The availability of organic matter and total bacteria in the soil can reduce α-endosulfan residues. Both factors should be managed by increasing their availability in the soil. In the second season, organic C content in the soil did not significantly affect α-endosulfan residues that had been below MRL. The statistical model of α-endosulfan contaminated-land remediation can be used to plan the remediation of a pesticide-contaminated land, especially endosulfan.