scholarly journals Evolutionary Prediction of Soil Loss from Observed Rainstorm Parameters in an Erosion Watershed Using Genetic Programming

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kennedy C. Onyelowe ◽  
Ahmed M. Ebid ◽  
Light Nwobia
Keyword(s):  
Genetic Programming ◽  
Soil Loss ◽  
Rainfall Intensity ◽  
Coefficient Of Determination ◽  
Learning Abilities ◽  
Maximum Coefficient ◽  
Runoff Rate ◽  
Gully Head ◽  
The Impact ◽  
Gp Model

Various environmental problems such as soil degradation and landform evolutions are initiated by a natural process known as soil erosion. Aggregated soil surfaces are dispersed through the impact of raindrop and its associated parameters, which were considered in this present work as function of soil loss. In an attempt to monitor environmental degradation due to the impact of raindrop and its associated factors, this work has employed the learning abilities of genetic programming (GP) to predict soil loss deploying rainfall amount, kinetic energy, rainfall intensity, gully head advance, soil detachment, factored soil detachment, runoff, and runoff rate database collected over a three-year period as predictors. Three evolutionary trials were executed, and three models were presented considering different permutations of the predictors. The performance evaluation of the three models showed that trial 3 with the highest parametric permutation, i.e., that included the influence of all the studied parameters showed the least error of 0.1 and the maximum coefficient of determination (R2) of 0.97 and as such is the most efficient, robust, and applicable GP model to predict the soil loss value.

scholarly journals Prediction of factors affecting activation of soil erosion by mathematical modeling at pedon scale under laboratory conditions

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Saeed Shojaei ◽  
Zahra Kalantari ◽  
Jesús Rodrigo-Comino
Keyword(s):  
Soil Loss ◽  
Rainfall Intensity ◽  
Quadratic Function ◽  
Interactive Effects ◽  
Soil Protection ◽  
Single Factor ◽  
Rainfall Events ◽  
Rainfall Duration ◽  
The Impact ◽  
Runoff Production

AbstractSoil degradation due to erosion is a significant worldwide problem at different spatial (from pedon to watershed) and temporal scales. All stages and factors in the erosion process must be detected and evaluated to reduce this environmental issue and protect existing fertile soils and natural ecosystems. Laboratory studies using rainfall simulators allow single factors and interactive effects to be investigated under controlled conditions during extreme rainfall events. In this study, three main factors (rainfall intensity, inclination, and rainfall duration) were assessed to obtain empirical data for modeling water erosion during single rainfall events. Each factor was divided into three levels (− 1, 0, + 1), which were applied in different combinations using a rainfall simulator on beds (6 × 1 m) filled with soil from a study plot located in the arid Sistan region, Iran. The rainfall duration levels tested were 3, 5, and 7 min, the rainfall intensity levels were 30, 60, and 90 mm/h, and the inclination levels were 5, 15, and 25%. The results showed that the highest rainfall intensity tested (90 mm/h) for the longest duration (7 min) caused the highest runoff (62 mm3/s) and soil loss (1580 g/m2/h). Based on the empirical results, a quadratic function was the best mathematical model (R2 = 0.90) for predicting runoff (Q) and soil loss. Single-factor analysis revealed that rainfall intensity was more influential for runoff production than changes in time and inclination, while rainfall duration was the most influential single factor for soil loss. Modeling and three-dimensional depictions of the data revealed that sediment production was high and runoff production lower at the beginning of the experiment, but this trend was reversed over time as the soil became saturated. These results indicate that avoiding the initial stage of erosion is critical, so all soil protection measures should be taken to reduce the impact at this stage. The final stages of erosion appeared too complicated to be modeled, because different factors showed differing effects on erosion.

Toward a framework for runoff and soil loss prediction using GUEST technology

Soil Research ◽  
1997 ◽  
Vol 35 (5) ◽  
pp. 1191 ◽  
Author(s):  
B. Yu ◽  
C. W. Rose ◽  
C. A. A. Ciesiolka ◽  
K. J. Coughlan ◽  
B. Fentie
Keyword(s):  
Soil Loss ◽  
Field Data ◽  
Rainfall Intensity ◽  
Rainfall Amount ◽  
Balance Model ◽  
Erosion Processes ◽  
Total Runoff ◽  
Physically Based ◽  
Loss Prediction ◽  
Runoff Rate

In recent years, a number of physically based models have been developed for soil loss predictions. GUEST is one such model based on fundamental physical principles and the current understanding of water erosion processes. GUEST is mainly used to determine a soil erodibility parameter. To apply the model in a predictive mode, the model is simplified in a physically meaningful manner for flow-driven erosion processes, and 2 essential hydrologic variables are identified, namely total runoff amount and an effective runoff rate. These variables are required to determine soil loss for individual runoff events. A simple water balance model was developed and used to predict runoff amount from rainfall amount. The efficiency of this runoff amount model in prediction was over 90% using field data. A 1-parameter regression model (r2 ~ 0·9) for the effective runoff rate was also established which uses peak rainfall intensity in addition to rainfall and runoff amounts. The prediction of peak rainfall intensity for a given rainfall amount and storm type was also sought. The field data were from Goomboorian, near Gympie, in south-east Queensland and these data were used to test and validate both models. Results overall are satisfactory and the approach adopted is promising. A framework for soil loss prediction is established within which individual parts can be further refined and improved.

scholarly journals Spatial and temporal estimation of the erosivity factor R based on daily rainfall data for the department of Atlántico, Colombia

2015 ◽  
Vol 35 (2) ◽  
pp. 23-29 ◽  
Author(s):  
Humberto Fabián Avila Rangel ◽  
Boris Daniel Avila Rangel
Keyword(s):  
Soil Loss ◽  
Rainfall Intensity ◽  
Temporal Distribution ◽  
Daily Rainfall ◽  
Specific Area ◽  
R Factor ◽  
Temporal Estimation ◽  
Erosion Factor ◽  
The Impact ◽  
Soil Loss Equation

<p class="Abstractandkeywordscontent"><span lang="EN-US">Soil erosion caused by rain is the detachment and movement of soil particles caused by the impact of raindrops on the surface. Erosivity factor R is a measure of the rain erosive power used for estimating the erosion rate with the RUSLE method (Revised Universal Soil Loss Equation). Estimating R factor requires rainfall intensity records of storms greater than 12.5 mm or greater than 6 mm but longer than 15 min. However, most of the Colombian rainfall stations have daily rainfall records with which it is not possible to estimate the intensity of each storm and, therefore, makes it difficult to estimate the R factor for a specific area. In this paper a methodology for estimating the erosivity factor R for the department of Atlántico, Colombia from daily records of 16 IDEAM stations is presented. The spatial distribution of the erosivity factor R in the department and its temporal distribution throughout the year are also shown. The results showed a minimum erosivity factor R of 6,894 MJ∙mm∙Ha<sup>-1</sup>∙Hr<sup>-1</sup>∙yr<sup>-1</sup> and a maximum of 10,925 MJ∙mm∙Ha<sup>-1</sup>∙Hr<sup>-1</sup>∙yr<sup>-1</sup>. The average erosivity factor R for the department of Atlántico was 8,697 MJ∙mm∙Ha<sup>-1</sup>∙Hr<sup>-1</sup>∙yr<sup>-1</sup>. This methodology might be used for estimating the erosion factor R in different Colombian regions where high-resolution precipitation data is limited, but seasonal and orographic conditions should be considered for selecting the rain gages and the area of study.</span></p>

The Impact of Business Mentoring on Micro, Small, Medium Enterprises Performance

2017 ◽  
Vol 1 (1) ◽  
pp. 31-37
Author(s):  
Mohammad Adrian ◽  
Hendrati Dwi Mulyaningsih ◽  
Santi Rahmawati
Keyword(s):  
Quantitative Research ◽  
Causal Analysis ◽  
Coefficient Of Determination ◽  
Mentoring Program ◽  
Simple Regression Analysis ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
The Impact ◽  
Necessity Entrepreneur ◽  
Simple Regression

This reasearch is conducted on MMSME (Micro Small Medium Enterprises) that are participated in the MMSME Syari’ah Mentoring Program by Academicians and Practitioners (PUSPA) organized by Bank Indonesia in Bandung. MMSME who participated in PUSPA program 2016 is MMSME that included in necessity entrepreneur where MMSME operated just to fullfil the life necessities. The purpose of this reasearch was to investigate the influence of the business mentoring on the MMSME performance in PUSPA program 2016. Researcher used quantitative research method. Data were analyzed using simple regression analysis and descriptive-causal analysis. The result showed that business mentoring affect the performance of MMSME that participated in PUSPA Program 2016. Based on the calculation, coefficient of determination (R2) can be seen the influence of business mentoring variable (X) on the performance (Y) is 74%. While the remaining 26% is influenced by other factors such as entrepreneurship competence and human resources.

The Impact of Entrepreneurial Behavior on Sales Volume

2017 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Adjeng Tiara Eltari ◽  
Hendrati Dwi Mulyaningsih
Keyword(s):  
Quantitative Research ◽  
Coefficient Of Determination ◽  
Sales Volume ◽  
Entrepreneurial Behavior ◽  
Street Vendors ◽  
Quantitative Research Methods ◽  
Entrepreneurial Behaviour ◽  
Full Calculation ◽  
Almost All ◽  
The Impact

This research was conducted at the Culinary Hawkers that located on Highway Sukapura, Dayeuhkolot, Bandung. This study examines the Entrepreneurial behaviour which resulted in increased sales volumes. Almost all Culinary Hawkers on Highway Sukapura doesn’t yet have the entrepreneurial behavior in accordance with the characteristics - traits mentioned by Suryana, Confident, Own initiative, Have achievement motive, Having leadership, and Dare to take risks with the full calculation. The purpose of this study was to investigate the influence of entrepreneurial behavior to the merchant's sales volume culinary pavement on Highway Sukapura, Dayeuhkolot, Bandung.Researchers used quantitative research methods. The population in this study was 63 Merchants Culinary Street on Highway Sukapura. Samples are 63 street vendors in JalanSukapura. Data were analyzed using simple regression analysis.The results showed that entrepreneurial behavior affect the sales volume of culinary street traders in Highway Sukapura. Based on the calculation coefficient of determination (R2) can be seen the effect of entrepreneurial behavior variables (X) on sales volume (Y) is approximately 94%. While the remaining 6% are influenced by other factors such as competence, performance, and motivation.

THE IMPACT OF BUSINESS MENTORING ON MICRO, SMALL, MEDIUM ENTERPRISES PERFORMANCE

2018 ◽  
Vol 1 (1) ◽  
pp. 7
Author(s):  
Mohammad Adrian ◽  
Santi Rahmawati
Keyword(s):  
Research Method ◽  
Quantitative Research ◽  
Coefficient Of Determination ◽  
Mentoring Program ◽  
Simple Regression Analysis ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
The Impact ◽  
Necessity Entrepreneur ◽  
Simple Regression

This reasearch is conducted on MSME (Micro Small Medium Enterprises) that are participated in the MSME Syari’ah Mentoring Program by Academition and Practitioners (PUSPA) organized by Bank Indonesia in Bandung. MSME who participated in PUSPA program 2016 is MSME that included in necessity entrepreneur where MSME operated just to fullfil the life necessities.The purpose of this reasearch was to investigate the influence of the business mentoring on the MSME performance in PUSPA program 2016.Researcher used quantitative research method. Data were analyzed using simple regression analysis and descriptive-causal analysis.The result showed that business mentoring affect the performance of MSME that participated in PUSPA Program 2016. Based on the calculation, coefficient of determination (R2) can be seen the influence of business mentoring variable (X) on the performance (Y) is 74%. While the remaining 26% is influenced by other factors such as entrepreneurship competence and human resources.  

تأثير الاستثمار الاجنبي المباشر في القيمة السوقية للشركة (دراسة تطبيقية في شركة بترو جانيا الصينية في عقود التراخيص النفطية للجولة الاولى والثانية في الحقول النفطية في العراق للمدة من 2017-2010)

2020 ◽  
Vol 2020 (66) ◽  
pp. 65-85
Author(s):  
هيثم عبد النبي موسى ◽  
أ .د حيدر نعمة غالي الفريجي
Keyword(s):  
Foreign Direct Investment ◽  
Stock Prices ◽  
Return On Investment ◽  
Direct Investment ◽  
Inverse Correlation ◽  
Market Value ◽  
Political Stability ◽  
Coefficient Of Determination ◽  
Independent Variable ◽  
The Impact

This study dealt with the effect of foreign direct investment on the market value of the company during the period of time (2010-2017). This issue was studied through a sample of oil fields in southern Iraq in which the company operates within the first and second licensing contracts rounds and according to the circumstances and variables of the investment environment as it is. Although this investment often achieves high returns, it is also characterized by a high degree of risk and for the purpose of evaluating the impact of foreign direct investment on the market value of the company's stock prices for the period (2010-2017). The statistical scale (T-TEST) was used to indicate the significance of the correlation hypotheses. Between the return on investment as the independent variable and the market value as the dependent variable, and the use of the coefficient of determination (R2) that measures the effect of the independent variable (foreign direct investment) on the dependent variable (market value) and the F-Test to demonstrate acceptance or rejection of the hypothesis of the return on investing in the market value of the oil company, and if the company achieves a high return in foreign direct investment, the market value of it will be affected positively. The study was based on a set of goals, including determining the attractiveness of Iraq to foreign investments, especially the oil sector, and the study reached a number of conclusions, the most prominent of which is the existence of a strong inverse correlation between the return on investment and the market value of the company. And the existence of a slight impact of the return on investment on the market value of the company, and the study reached a number of recommendations, the most important of which is activating the investment climate through political stability and the clarity and stability of laws and legislation regulating investment, which is one of the most important factors affecting the investment decision.

scholarly journals The Influence of COVID-19-Induced Daily Activities on Health Parameters—A Case Study in Malaysia

2021 ◽  
Vol 13 (13) ◽  
pp. 7465
Author(s):  
Mujahid Ali ◽  
Afonso R. G. de Azevedo ◽  
Markssuel T. Marvila ◽  
Muhammad Imran Khan ◽  
Abdul Muhaimin Memon ◽  
...  
Keyword(s):  
Structural Equation ◽  
Linear Regression Analysis ◽  
Daily Activities ◽  
Social Health ◽  
Coefficient Of Determination ◽  
Equation Modeling ◽  
Risk Of Death ◽  
Unit Increase ◽  
The Impact ◽  
Health Parameters

Since December 2019, the COVID-19 epidemic has been spreading all over the world. This epidemic has brought a risk of death in the daily activity (physical and social) participation that influences travellers’ physical, social, and mental health. To analyze the impact of the COVID-19-induced daily activities on health parameters of higher education institutes, 150 students of the Universiti Teknologi PETRONAS, Perak, Malaysia, were surveyed through an online web survey using random sampling techniques. The data were analyzed through RStudio and SPSS using multilevel linear regression analysis and Hierarchical Structural Equation Modeling. The estimated results indicate that restricting individuals from doing out-of-home activities negatively influences physical and social health. A unit increase in the in-home maintenance activities during the COVID-19 pandemic introduced a daily increase of 0.5% in physical health. Moreover, a unit increase in the in-home activities at leisure time represents a 1% positive improvement in social health. Thus, physical activity has proven to be beneficial in improving physical and social health with severe COVID-19. In contrast, the coefficient of determination (R2) for all endogenous variables ranges from 0.148 to 0.227, which is incredibly acceptable in psychological research. For a healthier society with a better quality of life, this study adopted multidisciplinary approaches that are needed to be designed.

scholarly journals A Strip-Till One-Pass System as a Component of Conservation Agriculture

Agronomy ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 2015
Author(s):  
Iwona Jaskulska ◽  
Kestutis Romaneckas ◽  
Dariusz Jaskulski ◽  
Piotr Wojewódzki
Keyword(s):  
Co2 Emissions ◽  
Soil Loss ◽  
Soil Surface ◽  
Conservation Agriculture ◽  
Plant Residues ◽  
Pass System ◽  
Previous Crop ◽  
Bacteria And Fungi ◽  
The Stability ◽  
The Impact

Conservation agriculture has three main pillars, i.e., minimum tillage, permanent soil cover, and crop rotation. Covering the soil surface with plant residues and minimum mechanical soil disturbance can all result from introducing a strip-till one-pass (ST-OP) system. The aim of this study was to determine the impact of the ST-OP technology on the management of plant residues, soil properties, inputs, and emissions related to crop cultivation. We compared the effect of a ST-OP system against conventional tillage (CT) using a plough, and against reduced, non-ploughing tillage (RT). Four field experiments were conducted for evaluating the covering of soil with plant residues of the previous crop, soil loss on a slope exposed to surface soil runoff, soil structure and aggregate stability, occurrence of soil organisms and glomalin content, soil moisture and soil water reserve during plant sowing, labour and fuel inputs, and CO2 emissions. After sowing plants using ST-OP, 62.7–82.0% of plant residues remained on the soil surface, depending on the previous crop and row spacing. As compared with CT, the ST-OP system increased the stability of soil aggregates of 0.25–2.0 mm diameter by 12.7%, glomalin content by 0.08 g·kg−1, weight of earthworms five-fold, bacteria and fungi counts, and moisture content in the soil; meanwhile, it decreased soil loss by 2.57–6.36 t·ha−1 year−1, labour input by 114–152 min·ha−1, fuel consumption by 35.9–45.8 l·ha−1, and CO2 emissions by 98.7–125.9 kg·ha−1. Significant favourable changes, as compared with reduced tillage (RT), were also found with respect to the stability index of aggregates of 2.0–10.0 mm diameter, the number and weight of earthworms, as well as bacteria and fungi counts.

Regulation and Critical Threshold of Grass Cover on Slope Runoff in LoessHilly Gully Region under Artificial

2021 ◽  
Author(s):  
Qiufen Zhang ◽  
Xizhi Lv ◽  
Rongxin Chen ◽  
Yongxin Ni ◽  
Li Ma
Keyword(s):  
Soil Erosion ◽  
Rainfall Intensity ◽  
Climatic Conditions ◽  
Vegetation Coverage ◽  
Critical Threshold ◽  
Runoff Generation ◽  
Grassland Vegetation ◽  
Slope Flow ◽  
The Impact ◽  
Slope Runoff

&lt;p&gt;The slope runoff caused by rainstorm is the main cause of serious soil and water loss in the loess hilly area, the grassland vegetation has a good inhibitory effect on the slope runoff, it is of great significance to reveal the role of grassland vegetation in the process of runoff generation and control mechanism for controlling soil erosion in this area. In this study, typical grassland slopes in hilly and gully regions of the loess plateau were taken as research objects. Through artificial rainfall in the field, the response rules of slope rainfall-runoff process to different grass coverage were explored. The results show that: (1) The time for the slope flow to stabilize is prolonged with the increase of vegetation coverage, and shortened with the increase of rainfall intensity; (2) At 60 mm&amp;#183;h &lt;sup&gt;&amp;#8722;1&lt;/sup&gt; rainfall intensity, the threshold of grassland vegetation coverage is 75.38%; at 90 mm&amp;#183;h&lt;sup&gt; &amp;#8722;1&lt;/sup&gt; rainfall intensity, the threshold of grassland vegetation coverage is 90.54%; at 120 mm&amp;#183;h &lt;sup&gt;&amp;#8722;1&lt;/sup&gt; rainfall intensity, the impact of grassland vegetation coverage on runoff is not significant; (3) the Reynolds number and Froude number of slope flow are 40.07&amp;#8210;695.22 and 0.33&amp;#8210;1.56 respectively, the drag coefficient is 1.42&amp;#8210;43.53. Under conditions of heavy rainfall, the ability of grassland to regulate slope runoff is limited. If only turf protection is considered, about 90% of grassland coverage can effectively cope with soil erosion caused by climatic conditions in loess hilly and gully regions. Therefore, in loess hilly areas where heavy rains frequently occur, grassland's protective effect on soil erosion is obviously insufficient, and investment in vegetation measures for trees and shrubs should be strengthened.&lt;/p&gt;

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