Assessment of intensive agriculture on water quality in the Culiacan River basin, Sinaloa, Mexico

Mendivil-García, K; Amábilis-Sosa, Leonel Ernesto; Rodríguez-Mata, Abraham Efraim; Rangel‐Peraza, Jesús Gabriel; Gonzalez-Huitron, Victor; Cedillo-Herrera, Cinthia I. G.

doi:10.1007/s11356-020-08653-z

Cited by 19 publications

(8 citation statements)

References 52 publications

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“…They have to ensure food for a growing world population, as well as raw materials for the textile, pharmaceutical and energy industries. On the other hand, high-input agricultural systems can cause tremendous environmental impacts, with soil degradation, water pollution and the emission of harmful gases into the atmosphere (Bunzel et al, 2014;Mendivil-Garcia et al, 2020). As society complains, researchers seek to develop more sustainable agricultural systems that ensure the production of goods, but with lesser environmental impacts.…”

Section: Introductionmentioning

confidence: 99%

Use of commercial mycorrhizal fungi in stress-free growing conditions of potted olive cuttings

Rodrigues

Piroli

Forcelini

et al. 2021

Scientia Horticulturae

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Section: Introductionmentioning

confidence: 99%

Use of commercial mycorrhizal fungi in stress-free growing conditions of potted olive cuttings

Rodrigues

Piroli

Forcelini

et al. 2021

Scientia Horticulturae

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“…Results showed that the malathion molecule was practically not detected ( Figure 4) at 90 min for 65 and 82 mM H 2 O 2 doses, but the degradation byproducts were quantified as 40 ± 3.2% of TOC initial concentration ( Figure 5). Organic byproducts of malathion degradation by AOP are maloxon, malathion dicarboxylate, dimethyl dithiophosphate, dimethyl thiophosphate and methyl thiophosphate, which are quantified as TOC [32].…”

Section: Behavior Of Physicochemical Parametersmentioning

confidence: 99%

Efficient Malathion Removal in Constructed Wetlands Coupled to UV/H2O2 Pretreatment

et al. 2020

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Intensive agriculture has led to the increasing application of pesticides, such as malathion, thus generating large volumes of untreated cropland wastewater (CropWW). In this work, a hybrid system constructed wetlands (CW) coupled in continuous with an optimized UV/H2O2 pretreatment was evaluated for the efficient removal of malathion contained in CropWW. In the first stage, 90 min UV irradiation time (UV IR) and 65 mM hydrogen peroxide (H2O2) were identified as optimal operation parameters through a central composite design. The second stage consisted of CW planted with Phragmites australis collected from the agricultural discharge area and operated as a piston flow reactor. Furthermore, CW hydraulic residence times (HRT) of 1, 2 and 3 days, including hydraulic coupling, were evaluated. The removal efficiencies obtained in the first stage (UV/H2O2) were 94 ± 2.5% of malathion and 45 ± 2.5% of total organic carbon (TOC). In stage two (CW) 65 ± 9.6% TOC removal was achieved during the first 17 days, from which around 24% was associated to the biosorption of malathion byproducts. Subsequently, and until the operation ends, CW removed about 80% of TOC for 2 and 3 days HRT, with no significant differences (p > 0.2), which is higher than those reported in several studies involving only advanced oxidation processes (AOP) with UV IR times above 240 min and even for systems using catalysts. The results obtained indicate that the system UV/H2O2-CW is a technically suitable option for the treatment of CropWW with a high content of malathion mainly found in developing countries. Moreover, the hybrid system proposed also represent significant reduction in the size of the treatment plant.

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“…In a recirculating aquaculture system (RAS), sulfate strengthens the hydrogen sulfide (H 2 S) concentration in water that is dangerous to all microorganisms and fishes living in it. Hence, a method of determining sulfide concentration was developed using methylene blue [16,17]. The carbon and hydrogen concentrations on an artificial aquaponic pond were measured using UV-Vis spectrophotometry in the range of 100 to 1000 nm and multigene symbolic regression genetic programming (MSRGP) [18] and phosphate concentration are predicted using an adaptive neuro-fuzzy inference system (ANFIS) [19].…”

Section: Introductionmentioning

confidence: 99%

Determination of Aquaponic Water Macronutrient Concentrations Based on Lactuca Sativa Leaf Photosynthetic Signatures using Hybrid Gravitational Search and Recurrent Neural Network

Concepcion

Dadios

Cuello

et al. 2021

Walailak J Sci & Tech

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Crop quality depends dominantly on the nutrients present in its growth media. For precision farming, fertigation is a challenge, especially when dealing with economical and efficiency factors. In this study, the aquaponic pond water macronutrient prediction model (wNPK) was developed based on leaf photosynthetic signature predictors. Aquaphotomics was preliminarily used for correlating physical limnological properties with nitrate, phosphate, potassium concentrations, and the leaf signatures. Using a digital camera, 18 spectro-textural-morphological features were extracted. Neighborhood component analysis (NCA) and ReliefF algorithms selected the spectral components blue, a*, and red minus luma as the most significant as supported by principal component analysis, resulting in low computational cost. A Gravitational Search Algorithm (GSA) was employed to optimize the recurrent neural network (RNN) architecture resulting in higher sensitivity. The hybrid NCA-ReliefF-GSA-RNN (wNPK) predicted NPK with 93.61, 84.03, and 91.39 % accuracy, respectively, besting out other configured feature-based machine learning models. Using wNPK, it was confirmed that potassium helped in accelerating seed germination and nitrogen in promoting chlorophyll intensification, especially on the 6th week after sowing. Phosphate and potassium were the energy and health elements that were consumed in a larger amount at the end of the head development stage. wNPK rules out that macronutrient concentration have a direct resemblance to crop leaf signatures; thus, a leaf is a good indicator of the water quality. The results pointed out that the use of a single camera to measure both water macronutrient concentrations and crop signature at the same time is an innovative, efficient, and economical approach for precision farming.Highlights Aquaponic pond water nutrient estimation based on leaf photosynthetic signatures Macronutrient biomarker extraction through UV-Vis-NIR aquaphotomics Highly accurate macronutrient prediction using hybrid gravitational search and RNN Potassium promotes seed germination and nitrogen in chlorophyll intensification Phosphate and potassium are consumed in greater scale during head development Graphical abstract

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Assessment of intensive agriculture on water quality in the Culiacan River basin, Sinaloa, Mexico

Cited by 19 publications

References 52 publications

Use of commercial mycorrhizal fungi in stress-free growing conditions of potted olive cuttings

Use of commercial mycorrhizal fungi in stress-free growing conditions of potted olive cuttings

Efficient Malathion Removal in Constructed Wetlands Coupled to UV/H2O2 Pretreatment

Determination of Aquaponic Water Macronutrient Concentrations Based on Lactuca Sativa Leaf Photosynthetic Signatures using Hybrid Gravitational Search and Recurrent Neural Network

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