Soil and onsite nutrient conservation potential of aromatic grasses at field scale under a shifting cultivated, degraded catchment in Eastern Ghats, India

2018 ◽  
Vol 33 (3) ◽  
pp. 340-350 ◽  
Author(s):  
Partha Pratim Adhikary ◽  
Hunsur Chikkanarasimhaiah Hombegowda ◽  
Dhananjay Barman ◽  
Madegowda Madhu
Keyword(s):  
Eastern Ghats ◽  
Field Scale ◽  
Aromatic Grasses ◽  
Nutrient Conservation

Temperature Influence on Performance of Oxidation Ponds

1991 ◽  
Vol 24 (5) ◽  
pp. 85-96 ◽  
Author(s):  
Qingliang Zhao ◽  
Zijie Zhang
Keyword(s):  
Mathematical Model ◽  
Temperature Influence ◽  
Field Scale ◽  
Experiment Data ◽  
Computer Technique ◽  
Oxidation Pond ◽  
Optimum Model ◽  
Oxidation Ponds ◽  
The Mathematical Model ◽  
The Relationship

By means of simulated tests of a laboratory–scale oxidation pond model, the relationship between BOD5 and temperature fluctuation was researched. Mathematical modelling for the pond's performance and K1determination were systematically described. The calculation of T–K1–CeCe/Ci) was complex but the problem was solved by utilizing computer technique in the paper, and the mathematical model which could best simulate experiment data was developed. On the basis of experiment results,the concept of plug–ratio–coefficient is also presented. Finally the optimum model recommended here was verified with the field–scale pond data.

Enzymatic Textile Dyes Decolorization by In vitro and In silico Studies

2019 ◽  
Vol 13 (4) ◽  
pp. 268-276
Author(s):  
Sridevi Ayla ◽  
Monika Kallubai ◽  
Suvarnalatha Devi Pallipati ◽  
Golla Narasimha
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Docking Studies ◽  
Textile Dyes ◽  
Crude Enzyme ◽  
Eastern Ghats ◽  
Textile Dye ◽  
Phanerochaete Sordida ◽  
Molecular Docking Studies ◽  
In Silico Studies

Background:Laccase, a multicopper oxidoreductase (EC: 1.10.3.2), is a widely used enzyme in bioremediation of textile dye effluents. Fungal Laccase is preferably used as a remediating agent in the treatment and transformation of toxic organic pollutants. In this study, crude laccase from a basidiomycetes fungus, Phanerochaete sordida, was able to decolorize azo, antroquinone and indigoid dyes. In addition, interactions between dyes and enzyme were analysed using molecular docking studies.Methods:In this work, a white rot basidiomycete’s fungus, Phanerochaete sordida, was selected from forest soil isolates of Eastern Ghats, and Tirumala and lignolytic enzymes production was assayed after 7 days of incubation. The crude enzyme was checked for decolourisation of various synthetic textile dyes (Vat Brown, Acid Blue, Indigo, Reactive Blue and Reactive Black). Molecular docking studies were done using Autodock-4.2 to understand the interactions between dyes and enzymes.Results:Highest decolourisation efficiency was achieved with the crude enzyme in case of vat brown whereas the lowest decolourisation efficiency was achieved in Reactive blue decolourisation. Similar results were observed in their binding affinity with lignin peroxidase of Phanerochaete chrysosporium through molecular docking approach.Conclusion:Thus, experimental results and subsequent in silico validation involving an advanced remediation approach would be useful to reduce time and cost in other similar experiments.

Innovations in Measuring Field Scale Biological Methane Oxidation at Two Soil-Covered Closed Landfills

2016 ◽  
Vol 3 (2) ◽  
pp. 118-130
Author(s):  
Tarek Abichou ◽  
Haykel Melaouhia ◽  
Bentley Higgs ◽  
Jeff Chanton ◽  
Roger Green
Keyword(s):  
Methane Oxidation ◽  
Field Scale ◽  
Measuring Field

Three Mosses New to Bryoflora of Eastern Ghats

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
A.K. Asthana ◽  
Priyanshu Srivastava
Keyword(s):  
Tamil Nadu ◽  
Andhra Pradesh ◽  
Eastern Ghats ◽  
Extended Range

Eastern Ghats are discontinuous hill ranges passing through Orissa, Andhra Pradesh and Tamil Nadu located between 11⁰30' & 22⁰N latitude and 76⁰50' & 86⁰30'E longitude. Bryophyte flora of this region is still very less explored. During a recent field exploration to Eastern Ghats region of Tamil Nadu three moss taxa viz. Solmsiella biseriata (Austin) Steere, Aulacopilum glaucam Wilson and Groutiella tomentosa (Hornsch) Wijk & Marg. have been identified as new additions to moss flora of Eastern Ghats. The present study provides the information regarding extended range of distribution of these taxa in India and a compensable account of morpho-taxonomical details with earlier described taxa from other bryogeographical zones.

FIELD-SCALE BIOREMEDIATION OF NATURALLY OCCURRING ARSENIC CONTAMINATED GROUNDWATER USING SULFATE REDUCING BACTERIA IN MACON COUNTY, ALABAMA

2018 ◽  
Author(s):  
Md Mahfujur Rahman ◽  
◽  
Ashraf Uddin ◽  
Ming-Kuo Lee ◽  
James A. Saunders ◽  
...  
Keyword(s):  
Sulfate Reducing Bacteria ◽  
Contaminated Groundwater ◽  
Field Scale ◽  
Sulfate Reducing ◽  
Naturally Occurring ◽  
Reducing Bacteria

scholarly journals Using UAV-Based Hyperspectral Imagery to Detect Winter Wheat Fusarium Head Blight

2021 ◽  
Vol 13 (15) ◽  
pp. 3024
Author(s):  
Huiqin Ma ◽  
Wenjiang Huang ◽  
Yingying Dong ◽  
Linyi Liu ◽  
Anting Guo
Keyword(s):  
Winter Wheat ◽  
Fusarium Head Blight ◽  
Hyperspectral Imagery ◽  
Spectral Feature ◽  
Support Vector ◽  
Detection Accuracy ◽  
Feature Combination ◽  
Field Scale ◽  
Head Blight ◽  
Detection Model

Fusarium head blight (FHB) is a major winter wheat disease in China. The accurate and timely detection of wheat FHB is vital to scientific field management. By combining three types of spectral features, namely, spectral bands (SBs), vegetation indices (VIs), and wavelet features (WFs), in this study, we explore the potential of using hyperspectral imagery obtained from an unmanned aerial vehicle (UAV), to detect wheat FHB. First, during the wheat filling period, two UAV-based hyperspectral images were acquired. SBs, VIs, and WFs that were sensitive to wheat FHB were extracted and optimized from the two images. Subsequently, a field-scale wheat FHB detection model was formulated, based on the optimal spectral feature combination of SBs, VIs, and WFs (SBs + VIs + WFs), using a support vector machine. Two commonly used data normalization algorithms were utilized before the construction of the model. The single WFs, and the spectral feature combination of optimal SBs and VIs (SBs + VIs), were respectively used to formulate models for comparison and testing. The results showed that the detection model based on the normalized SBs + VIs + WFs, using min–max normalization algorithm, achieved the highest R2 of 0.88 and the lowest RMSE of 2.68% among the three models. Our results suggest that UAV-based hyperspectral imaging technology is promising for the field-scale detection of wheat FHB. Combining traditional SBs and VIs with WFs can improve the detection accuracy of wheat FHB effectively.

scholarly journals Experimental investigation to characterize simple versus multi scaling analysis of hydraulic conductivity at a mesoscale

2021 ◽  
Author(s):  
Guglielmo Federico Antonio Brunetti ◽  
Samuele De Bartolo ◽  
Carmine Fallico ◽  
Ferdinando Frega ◽  
Maria Fernanda Rivera Velásquez ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Spatial Variability ◽  
Hydraulic Properties ◽  
Scaling Laws ◽  
Scaling Analysis ◽  
Field Scale ◽  
Porous Formation ◽  
Proper Design ◽  
First Time

AbstractThe spatial variability of the aquifers' hydraulic properties can be satisfactorily described by means of scaling laws. The latter enable one to relate the small (typically laboratory) scale to the larger (typically formation/regional) ones, therefore leading de facto to an upscaling procedure. In the present study, we are concerned with the spatial variability of the hydraulic conductivity K into a strongly heterogeneous porous formation. A strategy, allowing one to identify correctly the single/multiple scaling of K, is applied for the first time to a large caisson, where the medium was packed. In particular, we show how to identify the various scaling ranges with special emphasis on the determination of the related cut-off limits. Finally, we illustrate how the heterogeneity enhances with the increasing scale of observation, by identifying the proper law accounting for the transition from the laboratory to the field scale. Results of the present study are of paramount utility for the proper design of pumping tests in formations where the degree of spatial variability of the hydraulic conductivity does not allow regarding them as “weakly heterogeneous”, as well as for the study of dispersion mechanisms.

scholarly journals Smart Nutrient Retention Networks: a novel approach for nutrient conservation through water quality management

Inland Waters ◽  
2021 ◽  
pp. 1-16
Author(s):  
Dianneke van Wijk ◽  
Sven Teurlincx ◽  
Robert J. Brederveld ◽  
Jeroen J. M. de Klein ◽  
Annette B. G. Janssen ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Quality Management ◽  
Nutrient Retention ◽  
Novel Approach ◽  
Nutrient Conservation
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