scholarly journals Supplemental data for "Review of filter strip performance and function for improving water quality from agricultural lands"

2021 ◽  
Author(s):  
Kyle R Douglas-Mankin
Keyword(s):  
Water Quality ◽  
Journal Article ◽  
Review Article ◽  
Agricultural Lands ◽  
Sediment Nutrients ◽  
Filter Strip ◽  
And Function

This Dataset was compiled from cited literature in support of the review article "Douglas-Mankin KR, Helmers MJ, Harmel RD. 2021. Review of filter strip performance and function for improving water quality from agricultural lands. <i>Trans. ASABE</i>, 64(2). https://doi.org/10.13031/trans.14169", which summarizes, analyzes, and interprets data from 74 published studies to assess filter strip effectiveness in reducing sediment, nutrients, pesticides, and pathogens from agricultural lands. Journal article will be online April 2021.

scholarly journals Supplemental data for "Review of filter strip performance and function for improving water quality from agricultural lands"

2021 ◽  
Author(s):  
Kyle R Douglas-Mankin
Keyword(s):  
Water Quality ◽  
Journal Article ◽  
Review Article ◽  
Agricultural Lands ◽  
Sediment Nutrients ◽  
Filter Strip ◽  
And Function

This Dataset was compiled from cited literature in support of the review article "Douglas-Mankin KR, Helmers MJ, Harmel RD. 2021. Review of filter strip performance and function for improving water quality from agricultural lands. <i>Trans. ASABE</i>, 64(2). https://doi.org/10.13031/trans.14169", which summarizes, analyzes, and interprets data from 74 published studies to assess filter strip effectiveness in reducing sediment, nutrients, pesticides, and pathogens from agricultural lands. Journal article will be online April 2021.

scholarly journals Supplemental Table for "Review of filter strip performance and function for improving water quality from agricultural lands." Transactions of the ASABE. NRES-14169-2020. Spreadsheet.

2021 ◽  
Author(s):  
Kyle Douglas-Mankin
Keyword(s):  
Water Quality ◽  
Journal Article ◽  
Review Article ◽  
Agricultural Lands ◽  
Sediment Nutrients ◽  
Filter Strip ◽  
And Function

This Dataset was compiled from cited literature in support of the review article "Douglas-Mankin KR, Helmers MJ, Harmel RD. 2021. Review of filter strip performance and function for improving water quality from agricultural lands. <i>Trans. ASABE</i>, 64(2). https://doi.org/10.13031/trans.14169", which summarizes, analyzes, and interprets data from 74 published studies to assess filter strip effectiveness in reducing sediment, nutrients, pesticides, and pathogens from agricultural lands. Journal article will be online April 2021.

Fractal analysis in biology and medicine

2020 ◽  
pp. 85-92
Keyword(s):  
Fractal Analysis ◽  
A Priori ◽  
Research Work ◽  
Structure And Function ◽  
Review Article ◽  
Living Systems ◽  
Modern Biology ◽  
Additional Information ◽  
Important Additional Information ◽  
And Function

The review article discusses the possibilities of using fractal mathematical analysis to solve scientific and applied problems of modern biology and medicine. The authors show that only such an approach, related to the section of nonlinear mechanics, allows quantifying the chaotic component of the structure and function of living systems, that is a priori important additional information and expands, in particular, the possibilities of diagnostics, differential diagnosis and prediction of the course of physiological and pathological processes. A number of examples demonstrate the specific advantages of using fractal analysis for these purposes. The conclusion can be made that the expanded use of fractal analysis methods in the research work of medical and biological specialists is promising.

The functional vascular anatomy of the swine for research

Vascular ◽  
2021 ◽  
pp. 170853812199650
Author(s):  
Joseph Edwards ◽  
Hossam Abdou ◽  
Neerav Patel ◽  
Marta J Madurska ◽  
Kelly Poe ◽  
...  
Keyword(s):  
Translational Research ◽  
Functional Anatomy ◽  
Three Dimensional ◽  
Vascular Anatomy ◽  
Review Article ◽  
Imaging Data ◽  
Preclinical Research ◽  
Iodinated Contrast ◽  
Translational Research Program ◽  
And Function

Objectives Swine ( Sus Scrofa) are utilized broadly in research settings, given similarities to human vessel size and function; however, there are some important differences for clinicians to understand in order to interpret and perform translational research. This review article uses angiograms acquired in the course of a translational research program to present a description of the functional anatomy of the swine. Methods Digital subtraction angiography and computed tomography angiography were obtained throughout the course of multiple studies utilizing power injection with iodinated contrast. Subtracted two-dimensional images and three-dimensional multiplanar reformations were utilized post image acquisition to create maximal intensity projections and three-dimensional renderings of using open-source software (OsiriX). These imaging data are presented along with vessel measurements for reference. Results An atlas highlighting swine vascular anatomy, with an emphasis on inter-species differences that may influence how studies are conducted and interpreted, was compiled. Conclusions Swine are utilized in broad-reaching fields for preclinical research. While many similarities between human and swine vasculature exist, there are important differences to consider when conducting and interpreting research. This review article highlights these differences and presents accompanying images to inform clinicians gaining experience in swine research.

scholarly journals Statistical Modeling of Fine Sediments Dredged Using a Variable Area Dredging Suction Head to Improve Water Quality

Hydrology ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 98
Author(s):  
Leigh A. Provost ◽  
Robert Weaver ◽  
Nezamoddin N. Kachouie
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Sedimentation Rates ◽  
Agricultural Lands ◽  
Design Efficiency ◽  
Fine Sediments ◽  
Grain Sizes ◽  
Fine Grain ◽  
Sediment Sampling ◽  
Improve Water Quality

The changing climate affects the agricultural lands, and, in turn, the changes in agricultural lands alter the watershed. A major concern regarding waterbodies is the increased sedimentation rates due to climate change. To improve the water quality, it is crucial to remove fine sediments. Using current environmental dredging methods is challenging because of the sediment volumes that must be dredged, the absence of nearby disposal sites, and the shoreline infrastructure at the dredging locations. To address these issues, we used a surgical dredging method with a variable area suction head that can easily maneuver around the docks, pilings, and other infrastructures. It can also isolate the fine grain material to better manage the dredged volumes in the seabed where nutrients are typically adhered. To this end, a statistical analysis of the dredged samples is essential to improve the design efficiency. In this work, we collected several samples using a variable area suction head with different design settings. The collected samples using each design setting were then used to model the distributions of the different grain sizes in the dredged sediments. The proposed statistical model can be effectively used for the prediction of sediment sampling outcomes to improve the gradation of the fine sediments.

scholarly journals Top soil salinity prediction in South-Western part of Urmia Lake with ground water data

2014 ◽  
Vol 4 (1) ◽  
pp. 57-63 ◽  
Author(s):  
N Hamzehpour ◽  
MK Eghbal ◽  
P Bogaert ◽  
N Toomanian
Keyword(s):  
Water Quality ◽  
Soil Salinity ◽  
Activity Ratio ◽  
Underground Water ◽  
Soil Samples ◽  
Urmia Lake ◽  
Quality Data ◽  
Agricultural Lands ◽  
Sodium Activity ◽  
Top Soil

Drying of Urmia Lake in the north-west of Iran threatens all the agricultural lands around the Lake. Therefore, soil salinity appears to be the major threat to the agricultural lands in the area. The aim of the present study was to investigate the spatial variation of top soil salinity by taking into account of underground water quality data as secondary information. The research was performed on a grid of 500 m in an area of 5000 ha. Soil samples were gathered during the autumn of 2009 and were repeated in the spring of 2010. Electrical conductivity of soil samples was measured in a 1:2.5 soil to water suspension. Then covariance functions were build for each data set and soil salinity prediction were done on a grid of 100 m using kriging estimator with taking into account the mean variation. Afterwards sodium activity ratio derived from underground water quality database was used as covariate to develop cross-semivarograms in prediction of top soil salinity using cokriging method. Results demonstrated that soil salinity varied from values lower than 0.5 to more than 35 dSm-1 as a function of distance to the Lake. Cross-validating the results from salinity predictions using only kriging estimator to that of cokriging with sodium activity ratio data revealed that kriging offered better estimations with ME of 0.04 for autumn 2009 and -0.12 for spring 2010. Cokriging estimator had more smoother and diffused boundaries than that of kriging and resulted in more bias estimations (ME= -0.11 and -0.21 for first and second data sets). Although kriging method had better performance in top soil salinity prediction, but cokring method resulted in smoother boundaries and reduced the negative effects of mean variation in the area. DOI: http://dx.doi.org/10.3329/ijarit.v4i1.21093 Int. J. Agril. Res. Innov. & Tech. 4 (1): 57-63, June, 2014

scholarly journals The Relationship between the Community Structure and Function of Bacterioplankton and the Environmental Response in Qingcaosha Reservoir

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3155
Author(s):  
Shumin Liu ◽  
Fengbin Zhao ◽  
Xin Fang
Keyword(s):  
Water Quality ◽  
Community Structure ◽  
High Throughput Sequencing ◽  
Scientific Basis ◽  
Vital Role ◽  
Structure And Function ◽  
Environmental Response ◽  
Temporal And Spatial ◽  
Density And Biomass ◽  
And Function

Phytoplankton and bacterioplankton play a vital role in the structure and function of aquatic ecosystems, and their activity is closely linked to water eutrophication. However, few researchers have considered the temporal and spatial succession of phytoplankton and bacterioplankton, and their responses to environmental factors. The temporal and spatial succession of bacterioplankton and their ecological interaction with phytoplankton and water quality were analyzed using 16S rDNA high-throughput sequencing for their identification, and the functions of bacterioplankton were predicted. The results showed that the dominant classes of bacterioplankton in the Qingcaosha Reservoir were Gammaproteobacteria, Alphaproteobacteria, Actinomycetes, Acidimicrobiia, and Cyanobacteria. In addition, the Shannon diversity indexes were compared, and the results showed significant temporal differences based on monthly averaged value, although no significant spatial difference. The community structure was found to be mainly influenced by phytoplankton density and biomass, dissolved oxygen, and electrical conductivity. The presence of Pseudomonas and Legionella was positively correlated with that of Pseudanabaena sp., and Sphingomonas and Paragonimus with Melosira granulata. On the contrary, the presence of Planctomycetes was negatively correlated with Melosira granulata, as was Deinococcus-Thermus with Cyclotella sp. The relative abundance of denitrifying bacteria decreased from April to December, while the abundance of nitrogen-fixing bacteria increased. This study provides a scientific basis for understanding the ecological interactions between bacteria, algae, and water quality in reservoir ecosystems.

Non-point source pesticide removal by a mountainous wetland

2002 ◽  
Vol 46 (6-7) ◽  
pp. 199-206 ◽  
Author(s):  
C.M. Kao ◽  
J.Y. Wang ◽  
K.F. Chen ◽  
H.Y. Lee ◽  
M.J. Wu
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Surface Water Quality ◽  
Storm Events ◽  
Agricultural Lands ◽  
Pesticide Removal ◽  
Nps Pollution ◽  
Natural Wetlands ◽  
Wetland System ◽  
Water Quality Deterioration

Non-point source (NPS) pollution is believed to be one of the major causes of impairment of water bodies. Among NPS pollution, agricultural NPS pollution is considered to be the largest single category resulting in water quality deterioration. Pesticides are some the most ubiquitous of these agricultural NPS pollutants. In this study, a mountainous wetland was selected to investigate the effects of the natural wetland system on the NPS pesticide (atrazine) removal to maintain the surface water quality. The selected wetland receives water from two unnamed creeks, which drain primarily upgradient agricultural lands. Wetland investigation and monitoring were conducted from November 1999 to March 2001. Major storm events and baseline water quality samples were analyzed. Field results indicate that the wetland was able to remove NPS atrazine flushed from the upgradient agricultural lands after the occurrence of storm events. Laboratory aerobic and anaerobic bioreactor experiments were conducted to evaluate the biodegradation of atrazine under the intrinsic conditions of the wetland system. Microbial enumeration was conducted for a quick screen of bacterial activity in the studied wetland. Results from the study suggest that the methanogenesis process was possibly the dominant biodegradation pattern, and atrazine can be degraded under reductive dechlorinating conditions when sufficient intrinsic organic matter was provided. Results from this study can provide us with further knowledge on pesticide removal mechanisms in natural wetlands and evaluate the role of wetlands in controlling pesticide pollutants from stormwater runoff.

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