scholarly journals Evaluation of the Effect of Channel Geometry on Streamflow and Water Quality Modeling and Modification of Channel Geometry Module in SWAT: A Case Study of the Andong Dam Watershed

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 718
Author(s):  
Jeongho Han ◽  
Dongjun Lee ◽  
Seoro Lee ◽  
Se-Woong Chung ◽  
Seong Kim ◽  
...  
Keyword(s):  
Water Quality ◽  
Assessment Tool ◽  
Model Performance ◽  
Water Quality Modeling ◽  
Aerial Photographs ◽  
Water Quantity ◽  
Cross Sectional ◽  
Channel Geometry ◽  
The Impact ◽  
Water Quantity And Quality

The impact of the channel geometry on water quantity and quality simulation of the Soil and Water Assessment Tool (SWAT) was evaluated for the Andong Dam watershed. The new equations to determine the bankfull width of the channels and the bottom width of the floodplains were developed using aerial photographs, and its performance was compared with the current equations of SWAT. The new equations were more exact than the current equations since the current equations tended to overestimate the widths of the channel and floodplain. When compared with the observed data, the streamflow of the scenario 2 (S2, applying the new equations) showed lower deviation and higher accuracy than scenario 1 (S1, applying the current equations) because the peak flow of S2 captured the observed data better due to the impact of the change geometry. Moreover, the water quality results of S2 outperformed S1 regarding suspended solid, total nitrogen, and dissolved oxygen. This is attributed to the variables, such as flow travel time, which is directly related to the channel geometry. Additionally, SWAT was modified to consider the various channel cross-sectional shapes. The results of this study suggest that the channel geometry information for the water quantity and quality estimation should be carefully applied, which could improve the model performance regarding streamflow and water quality simulations.

scholarly journals SWAT Modeling of Non-Point Source Pollution in Depression-Dominated Basins under Varying Hydroclimatic Conditions

2018 ◽  
Vol 15 (11) ◽  
pp. 2492 ◽  
Author(s):  
Mohsen Tahmasebi Nasab ◽  
Kendall Grimm ◽  
Mohammad Bazrkar ◽  
Lan Zeng ◽  
Afshin Shabani ◽  
...  
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Assessment Tool ◽  
The United States ◽  
Water Quality Modeling ◽  
Water Quantity ◽  
Basic Scenario ◽  
Calibration And Validation ◽  
Calibration Scheme ◽  
Quality Modeling

Non-point source (NPS) pollution from agricultural lands is the leading cause of various water quality problems across the United States. Particularly, surface depressions often alter the releasing patterns of NPS pollutants into the environment. However, most commonly-used hydrologic models may not be applicable to such depression-dominated regions. The objective of this study is to improve water quantity/quality modeling and its calibration for depression-dominated basins under wet and dry hydroclimatic conditions. Specifically, the Soil and Water Assessment Tool (SWAT) was applied for hydrologic and water quality modeling in the Red River of the North Basin (RRB). Surface depressions across the RRB were incorporated into the model by employing a surface delineation method and the impacts of depressions were evaluated for two modeling scenarios, MS1 (basic scenario) and MS2 (depression-oriented scenario). Moreover, a traditional calibration scheme (CS1) was compared to a wet-dry calibration scheme (CS2) that accounted for the effects of hydroclimatic variations on hydrologic and water quality modeling. Results indicated that the surface runoff simulation and the associated water quality modeling were improved when topographic characteristics of depressions were incorporated into the model (MS2). The Nash–Sutcliffe efficiency (NSE) coefficient indicated an average increase of 30.4% and 19.6% from CS1 to CS2 for the calibration and validation periods, respectively. Additionally, the CS2 provided acceptable simulations of water quality, with the NSE values of 0.50 and 0.74 for calibration and validation periods, respectively. These results highlight the enhanced capability of the proposed approach for simulating water quantity and quality for depression-dominated basins under the influence of varying hydroclimatic conditions.

scholarly journals The Impact of Vegan Diet in the Prevention and Treatment of Type 2 Diabetes: A Systematic Review

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 2123
Author(s):  
Daniela Pollakova ◽  
Aikaterini Andreadi ◽  
Francesca Pacifici ◽  
David Della-Morte ◽  
Davide Lauro ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Assessment Tool ◽  
Vegan Diet ◽  
Cochrane Library ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Observational Cohort ◽  
Meta Analyses ◽  
The Impact

A protective effect of vegan diets on health outcomes has been observed in previous studies, but its impact on diabetes is still debated. The aim of this review is to assess the relationship between vegan diets and the risk for type 2 diabetes (T2D) along with its effect on glycemic control and diabetes-related complications. In accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta–Analyses) guidelines, Pubmed and Cochrane library databases were systematically searched for all relevant studies. Seven observational and eight randomized controlled (RCTs) studies were included. The methodological quality of studies was assessed using the National Institutes of Health quality assessment tool for observational cohort and cross-sectional studies and the Cochrane Risk of Bias Tool for RCTs. We found that a vegan diet is associated with lower T2D prevalence or incidence and in T2D patients decreases high glucose values and improves glucose homeostasis, as reported from the majority of included studies. This approach seems to be comparable to other recommended healthful eating models, but as it may have potential adverse effects associated with the long-term exclusion of some nutrients, appropriate nutritional planning and surveillance are recommended, particularly in specific groups of diabetic patients such as frail elderly, adolescents, and pregnant or breastfeeding women.

scholarly journals Is there a correlation between cognition and the ability to remember how to use assistive devices?

2019 ◽  
Vol 47 (1) ◽  
pp. 58-72
Author(s):  
Gerard Mc Carroll ◽  
Mary Cooke
Keyword(s):  
Null Hypothesis ◽  
Assessment Tool ◽  
Mmse Score ◽  
Primary Objective ◽  
Assistive Devices ◽  
Assessment Instrument ◽  
Cross Sectional ◽  
Content Type ◽  
Objective Evidence ◽  
The Impact

Purpose This study aims to establish a correlation between a patient’s mini mental state examination (MMSE) score and their ability to remember how to use common assistive dressing devices. Design/methodology/approach The study was a prospective, cross-sectional and correlational study. A final sample of 63 patients formed the study. Patients’ cognition was measured using the MMSE, and a new assessment tool was developed to assess patients’ ability to use three assistive devices and piloted on 15 patients to address normality, reliability, validity and clinical usefulness. Pearson’s rank correlation coefficient was used to establish direct correlations between the MMSE score and the assessment tool score. Eta squared was used to calculate the effect size to achieve an indication of the difference between the groups. Ethical approval had been granted by the regional ethics committee. The null hypothesis states that patients with an MMSE score of 22 or less show no difference in their ability to safely and appropriately use assistive devices provided and demonstrated by an occupational therapist than patients with an MMSE score of 23 or higher. Findings The null hypothesis was rejected and patients with an MMSE score of 22 or less showed a significant difficulty in their ability to use the three devices. Correlation coefficients showed significant positive correlations between MMSE scores and assistive devices scoring tool results for all three devices: Helping hand (r = 6.677, n = 60, p = 0.01), shoe horn (r = 0.649, n = 54, p = 0.01) and sock aid (r = 0.877, n = 54, p = 0.01). Originality/value The study is in an Irish context and demonstrated primary, objective evidence of the impact of impaired cognition on functional ability. Patients with cognitive deficits pose a larger safety challenge but still should be afforded an opportunity to use and benefit from assistive devices. The assessment tool is a new and unique instrument and although requires further development, may conceivably act not just as an assessment instrument but also an effective treatment tool.

Differential Effect of Recurrent Concussions on Symptom Clusters in Sport Concussion Assessment Tool

2019 ◽  
Vol 28 (7) ◽  
pp. 735-739
Author(s):  
Jian Chen ◽  
Bruce Oddson ◽  
Heather C. Gilbert
Keyword(s):  
Assessment Tool ◽  
Cross Sectional Study ◽  
Physical Symptoms ◽  
Symptom Clusters ◽  
Cross Sectional ◽  
Sport Concussion ◽  
Comprehensive Survey ◽  
Using Data ◽  
Composite Scores ◽  
The Impact

Context: Symptom checklist in Sport Concussion Assessment Tool has been widely used in preseason assessment and in concussion diagnosis, but the impact of prior concussions on the graded symptoms after a new concussion has not been evaluated. Objective: This study was undertaken to examine reported symptoms associated with recurrent concussions using data of a comprehensive survey among athletes. Design: Retrospective survey and cross-sectional study. Setting: College athletes. Participants: Student athletes who sustained one or more concussions. Main Outcome Measures: Concussion history and graded symptoms of the most recent concussion at time of the survey were surveyed. The impact of prior concussions was examined over symptoms and aggregated symptoms. Results: Multiple concussions were associated with greater reporting of individual symptoms related to emotion and physical symptoms of sensitivity to light and noise: more emotional (z = 2.3, P = .02); sadness (z = 2.4, P = .02); nervousness (z = 2.4, P = .02); irritability (z = 3.6, P = .01); sensitivity to light (z = 2.6, P = .01); and sensitivity to noise (z = 2.4, P = .04). The composite scores of emotional symptom and sensitivity symptom clusters were significantly higher: t = 2.68 (P < .01) and t = 3.35 (P < .01), respectively. Conclusions: The significant rises in emotional and sensitivity symptoms may be an important additive effect of concussive injury. Closer attention should be given to these symptom clusters when evaluating concussion injury and recovery.

scholarly journals Using the Soil and Water Assessment Tool to Simulate the Pesticide Dynamics in the Data Scarce Guayas River Basin, Ecuador

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 696 ◽  
Author(s):  
Naomi Cambien ◽  
Sacha Gobeyn ◽  
Indira Nolivos ◽  
Marie Anne Eurie Forio ◽  
Mijail Arias-Hidalgo ◽  
...  
Keyword(s):  
River Basin ◽  
Assessment Tool ◽  
Model Development ◽  
Model Performance ◽  
Water Quality Monitoring ◽  
Freshwater Ecosystem ◽  
Set Up ◽  
The Impact ◽  
Water Assessment ◽  
Soil And Water

Agricultural intensification has stimulated the economy in the Guayas River basin in Ecuador, but also affected several ecosystems. The increased use of pesticides poses a serious threat to the freshwater ecosystem, which urgently calls for an improved knowledge about the impact of pesticide practices in this study area. Several studies have shown that models can be appropriate tools to simulate pesticide dynamics in order to obtain this knowledge. This study tested the suitability of the Soil and Water Assessment Tool (SWAT) to simulate the dynamics of two different pesticides in the data scarce Guayas River basin. First, we set up, calibrated and validated the model using the streamflow data. Subsequently, we set up the model for the simulation of the selected pesticides (i.e., pendimethalin and fenpropimorph). While the hydrology was represented soundly by the model considering the data scare conditions, the simulation of the pesticides should be taken with care due to uncertainties behind essential drivers, e.g., application rates. Among the insights obtained from the pesticide simulations are the identification of critical zones for prioritisation, the dominant areas of pesticide sources and the impact of the different land uses. SWAT has been evaluated to be a suitable tool to investigate the impact of pesticide use under data scarcity in the Guayas River basin. The strengths of SWAT are its semi-distributed structure, availability of extensive online documentation, internal pesticide databases and user support while the limitations are high data requirements, time-intensive model development and challenging streamflow calibration. The results can also be helpful to design future water quality monitoring strategies. However, for future studies, we highly recommend extended monitoring of pesticide concentrations and sediment loads. Moreover, to substantially improve the model performance, the availability of better input data is needed such as higher resolution soil maps, more accurate pesticide application rate and actual land management programs. Provided that key suggestions for further improvement are considered, the model is valuable for applications in river ecosystem management of the Guayas River basin.

Hydrological and water quality modeling in a medium-sized basin using the Soil and Water Assessment Tool (SWAT)

Desalination ◽  
2010 ◽  
Vol 250 (1) ◽  
pp. 274-286 ◽  
Author(s):  
Vassilios Pisinaras ◽  
Christos Petalas ◽  
Georgios D. Gikas ◽  
Alexandra Gemitzi ◽  
Vassilios A. Tsihrintzis
Keyword(s):  
Water Quality ◽  
Assessment Tool ◽  
Water Quality Modeling ◽  
Quality Modeling ◽  
Water Assessment ◽  
Soil And Water

scholarly journals Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production

2016 ◽  
Author(s):  
Awoke D. Teshager ◽  
Philip W. Gassman ◽  
Justin T. Schoof ◽  
Silvia Secchi
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
21St Century ◽  
Agricultural Land ◽  
Agricultural Landscapes ◽  
Water Quantity ◽  
Agricultural Land Use ◽  
Water Quantity And Quality

Abstract. Modeling impacts of agricultural scenarios and climate change on surface water quantity and quality provides useful information for planning effective water, environmental, and land use policies. Despite the significant impacts of agriculture on water quantity and quality, limited literature exists that describes the combined impacts of agricultural land use change and climate change on future bioenergy crop yields and watershed hydrology. In this study, the Soil and Water Assessment Tool (SWAT) eco-hydrological model was used to model the combined impacts of five agricultural land use change scenarios and three downscaled climate pathways (representative concentration pathways, RCPs) that were created from an ensemble of eight atmosphere-ocean general circulation models (AOGCMs). These scenarios were implemented in a well calibrated SWAT model for the Raccoon River watershed (RRW) located in western Iowa. The scenarios were executed for the historical baseline, early-century, mid-century, and late-century periods. The results indicate that historical and more corn intensive agricultural scenarios with higher CO2 emissions consistently result in more water in the streams and greater water quality problems, especially late in the 21st century. Planting more switchgrass, on the other hand, results in less water in the streams and water quality improvements relative to the baseline. For all given agricultural landscapes simulated, all flow, sediment and nutrient outputs increase from early-to-late century periods for the RCP4.5 and RCP8.5 climate scenarios. We also find that corn and switchgrass yields are negatively impacted under RCP4.5 and RCP8.5 scenarios in the mid and late 21st century.

scholarly journals Assessment of the Impact of Land Cover Type on the Water Quality in Lake Tondano Using a SWAT Model

2021 ◽  
Vol 56 (1) ◽  
Author(s):  
Moh Sholichin ◽  
Tri Budi Prayogo
Keyword(s):  
Water Quality ◽  
Land Cover ◽  
Agricultural Land ◽  
Assessment Tool ◽  
Swat Model ◽  
Coefficient Of Determination ◽  
Organic N ◽  
Lake Water Quality ◽  
Total N ◽  
The Impact

Lake Tondano is the largest natural lake in North Sulawesi, Indonesia, which functions as a provider of clean water, hydroelectric power, rice field irrigation, inland fisheries, and tourism. This research aims to determine the effect of land cover types from the Tondano watershed on the lake water quality. The Soil and Water Assessment Tool (SWAT) model was used to evaluate the rate of soil erosion and the pollutant load of various land types in the watershed during the last ten years. Rainfall data is obtained from two rainfall stations, namely Paleloan Station and Noonan Station. The model is calibrated and validated before being used for analysis. We use climatological data from 2014 to 2019. The process of the SWAT model calibration and validation was carried out with the statistical formulas of the coefficient of determination (R2) and Nash-Sutcliffe efficiency (NSE). The results show that the potential for pollution load from the Tondao watershed is organic N of 0.039 kg/ha and organic P of 0.006 kg/ha coming from the agricultural land. The results of this study conclude that the fertility conditions of Lake Tondano are at the eutrophic level, where the pollutant inflow is collected in the lake waters, especially for the parameters of total N (1503697.44kg/year) and total P (144831.36kg/year). The SWAT simulation results show deviation between the modeling and field data collected with the value of R2 = 0.9303, and the significant level ≤ 10.

scholarly journals In-ground Irrigation Systems Affect Lawn-watering Behaviors of Residential Homeowners

2012 ◽  
Vol 22 (5) ◽  
pp. 651-658 ◽  
Author(s):  
Dale J. Bremer ◽  
Steven J. Keeley ◽  
Abigail Jager ◽  
Jack D. Fry ◽  
Cathie Lavis
Keyword(s):  
Water Quality ◽  
Water Quantity ◽  
Land Area ◽  
Irrigation Systems ◽  
Know How ◽  
Lawn Care ◽  
Sprinkler Systems ◽  
Care Guidelines ◽  
Lawn Irrigation ◽  
Water Quantity And Quality

Urbanization is increasing the land area covered with turfgrasses, which may have implications for water quantity and quality. The largest sector of turfgrass is residential lawns. Our objectives were to compare lawn-irrigation perceptions, knowledge, and behaviors of residential homeowners with and without in-ground sprinkler systems (IGS and NIGS, respectively); homeowners were surveyed in three Kansas cities, each with distinctive water quantity and quality issues. Surveys were mailed to 15,500 homeowners in Wichita, 10,000 in Olathe, and 5000 in Salina; the return rate was 11% to 13%. Homeowners with IGS watered more frequently than NIGS; 67% to 90% of IGS and 19% to 31% of NIGS homeowners watered two to three times per week or more. More IGS homeowners watered routinely and applied the same amount of water each time than NIGS homeowners, who mostly watered and adjusted watering amounts based on lawn dryness. More IGS than NIGS homeowners wanted their lawn green all the time, followed lawn-care guidelines, and considered their neighborhood appearance important. Among IGS homeowners, 41% to 54% claimed to know how much water their lawns required compared with only 29% to 33% of NIGS homeowners. However, 65% to 83% in both groups did not know how much water they applied when they irrigated. About 7% to 9% of homeowners swept or blew clippings or lawn-care products into streets or storm drains; this percentage was unaffected by whether they had IGS or not. All homeowners’ lawn irrigation knowledge and habits must be improved to help conserve water and protect water quality, but educational efforts should concentrate on IGS homeowners because they water more frequently.

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