Soil erodibility relationships on drumlin deposits in the Cape Caribou River area, Labrador

2000 ◽  
Vol 80 (4) ◽  
pp. 577-580 ◽  
Author(s):  
A. R. van Kesteren
Keyword(s):  
Mineral Soil ◽  
Soil Horizon ◽  
Soil Erodibility ◽  
Chi Square ◽  
Field Methods ◽  
Topographic Position ◽  
K Factor ◽  
Cross Tabulation ◽  
Log Linear

Universal soil loss equation (USLE) soil erodibility (K) factors were computed from drumlin soils in the Cape Caribou River area, Labrador. Soil erodibility variation was investigated, using Mann-Whitney and Kruskal-Wallis tests, for three stratifications: (i) topographic position (TOP), (ii) mineral soil horizon (HOR), and (iii) soil texture (TEX). Topographic position with two substrata, drumlin summits (SUM) and drumlin side slopes (SID), was not significant. Horizons A, B and C and textural classes loamy sands (LS), sandy loams (SL) and loams (L) were significant. A log linear likelihood chi-square (G2) model was applied to investigate relationships of HOR and TEX. Partitioning of the G2 statistic revealed both significant and non-significant cells in the cross tabulation. Some sampling considerations for the determination of K factors are discussed. It is concluded that accepted field methods could enhance K factor determination in Labrador forest soil environments. Key words: Soil erodibility, K factor, drumlins, Labrador

scholarly journals Comparison of methods for determination of soil erodibility factor K

2005 ◽  
Vol 53 (5) ◽  
pp. 197-206 ◽  
Author(s):  
Jana Dufková ◽  
František Toman ◽  
Milada Šťastná
Keyword(s):  
Soil Loss ◽  
Water Erosion ◽  
Soil Erodibility ◽  
Comparison Of Methods ◽  
Universal Equation ◽  
K Factor ◽  
Soil Erodibility Factor ◽  
Soil Units ◽  
Soil Unit

The comparison of values of the soil erodibility factor  K (which is used in the universal equation for soil loss calculation), that were determined according to the main soil units and values of the K factor determined on the base of texture analysis, has found differences in soil texture in the range of the same main soil unit. The need of the laboratory analyses follows from the comparative analyses for the determination of K factor that is also necessary for determination of threat of soil by water erosion or for the projection of erosion control. The values of K factor that was specified according to the soil ecological units could be possible to take as orientational ones.

scholarly journals Análisis del efecto de variables ambientales en la estimación de la erosionabilidad (Factor K) = Analysis of the Effect of Environmental Variables on the Soil Erodibility Estimation (K Factor)

2018 ◽  
pp. 195
Author(s):  
Pedro Perez Cutillas ◽  
Gonzalo G. Barberá ◽  
Carmelo Conesa García
Keyword(s):  
Remote Sensing ◽  
Environmental Variables ◽  
Input Data ◽  
Vegetation Index ◽  
Mineralogical Composition ◽  
Soil Erodibility ◽  
Estimation Algorithms ◽  
K Factor ◽  
Remote Sensing Techniques

El objetivo principal de este trabajo se centra en la determinación y análisis de las variables ambientales que influyen en las divergencias de las estimaciones de erosionabilidad a partir de dos métodos, aplicando tres algoritmos de estimación del Factor K. La exploración de esta información permite conocer el peso que ejerce el origen de los datos de entrada a los modelos en el cómputo de erosionabilidad y qué importancia tiene en función del algoritmo elegido para la estimación del Factor K. Los resultados muestran que las pendientes, así como los índices de vegetación (NDVI) y de composición mineralógico (IOI) obtenidos mediantes técnicas de teledetección han   mostrado los valores de asociación más elevados entre ambos métodos.The main goal of this work is to determine and analyze the influence of environmental variables on the changes of two erodibility methods, through the application of three estimation algorithms of K Factor. The analysis of this information allows knowing the significance of the input data to the models in the erodibility estimation, and likewise the consequence of the algorithm selected for the estimation of K Factor. The results show that the slopes, as well as the vegetation index (NDVI) and the mineralogical composition index (IOI), generated both by remote sensing techniques, have shown the highest values of association between methods.

Evaluation of Quality of Root Canal Obturation, Coronal Restoration and Periapical Health in Failed Endodontically Treated Teeth

2021 ◽  
Vol 11 (02) ◽  
pp. 54-59
Author(s):  
Syed Adeel Ahmed ◽  
Safia Anwar ◽  
Imtiaz ul Haq
Keyword(s):  
Root Canal ◽  
P Value ◽  
Periapical Lesion ◽  
Endodontically Treated Teeth ◽  
Chi Square ◽  
Cross Sectional ◽  
Total N ◽  
Chi Square Test ◽  
Cross Tabulation

Objective: To investigate the implication of quality of obturation and coronal restoration on periapical tissue in failed endodontically treated teeth. Study Design and Setting: This cross-sectional research was performed in the Operative Department of BUMDC on 187 patients reporting with root canal failure from March 2019 to August 2019. Methodology: Patients of both genders aged between 20-60 years were considered for this study. Single and multirooted teeth indicated for repeated endodontic treatment due to under filled, overfilled obturation, voids in obturation, absence and presence of coronal restoration were included. One operator carried out clinical examination of the teeth and periapical radiograph was taken for each patient by using E-Speed film and evaluated by the same operator using an illuminated viewer box. SPSS 17 for windows software was used for data entering and chi- square test was applied for statistical calculation of the outcomes. Results: Total n=187 endodontic treated failed teeth were evaluated, out of which 52.9% were of females and 47.1% to males. The number of obturations with acceptable length were 81(43.3%), with adequate density were 107 (57.2%) and with consistent taper were 116(62%). Periapical lesion was observed in 118(63.1%) cases. Quality of obturation significantly affects the periapical health. Cross tabulation showed a significant association (p-value <0.000) between inadequate coronal restoration and changes in periapical area. Conclusion: The successful prognosis of the root canal treatment relies on the good quality of obturation and adequate coronal filling.

scholarly journals A small rainfall simulator for the determination of soil erodibility.

1987 ◽  
Vol 35 (3) ◽  
pp. 407-415 ◽  
Author(s):  
A. Kamphorst
Keyword(s):  
Organic Matter ◽  
Soil Conservation ◽  
Standard Procedure ◽  
Organic Matter Content ◽  
Clay Content ◽  
Matter Content ◽  
Soil Erodibility ◽  
Rainfall Simulator ◽  
Highly Sensitive

A small rainfall simulator is described, which can be used in the field as well as in the laboratory for the determination of infiltration and erosion characterisitcs of soils. It is particularly suitable for soil conservation surveys, as it is light to carry and easy to handle in the field. A description is given of a standard procedure for the determination of topsoil erodibilities in the field and some results are presented. The method appears to be highly sensitive to soil properties influencing soil erodibility, such as clay content, organic matter content and soil pH. (Abstract retrieved from CAB Abstracts by CABI’s permission)

scholarly journals Knowledge of Reproductive Health Issues among the Students of P. N. Campus Pokhara

2017 ◽  
Vol 3 ◽  
pp. 1-8
Author(s):  
Amin Palikhe ◽  
Akhila Shrestha
Keyword(s):  
Reproductive Health ◽  
Sample Population ◽  
Health Issues ◽  
Chi Square ◽  
Frequency Table ◽  
Chi Square Test ◽  
Level Of Knowledge ◽  
Cross Tabulation ◽  
Demographic Background ◽  
Percent Female

The article entitled "Knowledge of Reproductive Health Issues among the Students of P. N. Campus, Pokhara" has studied to get the knowledge about the reproductive health issues. Reproductive health is one of the important factors of population studies. Several studies have been made concerning the reproductive health issues but there are few research works on the knowledge of reproductive health, especially, in P. N. Campus. The present study attempts to find out knowledge of reproductive health issues among the students in the P. N. Campus. This study was based on the primary information collected from the field survey in P.N. Campus. The sample used for collection of data is random sampling. Basically, both descriptive and analytic research design and simple statistical tools like frequency table, and cross tabulation have been used here. To test the hypothesis, Chi- Square test with contingency table has been presented. Among the total 116 students, 58 percent female and 42 percent male were taken for sample. The median age for the sample population was 23 years. About 31 percent among them were married. This research finds out the knowledge of reproductive health issues like media of knowledge, sources, reproductive health issues areas and level of knowledge among the selected demographic background of respondents.Janapriya Journal of Interdisciplinary StudiesVol. III (December 2014), page: 1-8

scholarly journals Characteristics of Soil Erodibility K Value and Its Influencing Factors in the Changyan Watershed, Southwest Hubei, China

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 134
Author(s):  
Xiaofang Huang ◽  
Lirong Lin ◽  
Shuwen Ding ◽  
Zhengchao Tian ◽  
Xinyuan Zhu ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Spatial Variability ◽  
Influencing Factors ◽  
Soil Type ◽  
Soil Survey ◽  
Purple Soil ◽  
Soil Erodibility ◽  
K Value ◽  
K Factor

Soil erodibility K factor is an important parameter for evaluating soil erosion vulnerability and is required for soil erosion prediction models. It is also necessary for soil and water conservation management. In this study, we investigated the spatial variability characteristics of soil erodibility K factor in a watershed (Changyan watershed with an area of 8.59 km2) of Enshi, southwest of Hubei, China, and evaluated its influencing factors. The soil K values were determined by the EPIC model using the soil survey data across the watershed. Spatial K value prediction was conducted by regression-kriging using geographic data. We also assessed the effects of soil type, land use, and topography on the K value variations. The results showed that soil erodibility K values varied between 0.039–0.052 t·hm2·h/(hm2·MJ·mm) in the watershed with a block-like structure of spatial distribution. The soil erodibility, soil texture, and organic matter content all showed positive spatial autocorrelation. The spatial variability of the K value was related to soil type, land use, and topography. The calcareous soil had the greatest K value on average, followed by the paddy soil, the yellow-brown soil (an alfisol), the purple soil (an inceptisol), and the fluvo-aquic soil (an entisol). The soil K factor showed a negative correlation with the sand content but was positively related to soil silt and clay contents. Forest soils had a greater ability to resist to erosion compared to the cultivated soils. The soil K values increased with increasing slope and showed a decreasing trend with increasing altitude.

scholarly journals Distribution of soil nutrients and erodibility factor under different soil types in an erosion region of Southeast China

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11630
Author(s):  
Man Liu ◽  
Guilin Han
Keyword(s):  
Soil Erosion ◽  
Soil Nutrients ◽  
Soil Ph ◽  
Major Elements ◽  
Soil Types ◽  
Soil Erodibility ◽  
Soil Evolution ◽  
Southeast China ◽  
Red Soils ◽  
K Factor

Background Soil erosion can affect the distribution of soil nutrients, which restricts soil productivity. However, it is still a challenge to understand the response of soil nutrients to erosion under different soil types. Methods The distribution of soil nutrients, including soil organic carbon (SOC), soil organic nitrogen (SON), and soil major elements (expressed as Al2O3, CaO, Fe2O3, K2O, Na2O, MgO, TiO2, and SiO2), were analyzed in the profiles from yellow soils, red soils, and lateritic red soils in an erosion region of Southeast China. Soil erodibility K factor calculated on the Erosion Productivity Impact Calculator (EPIC) model was used to indicate erosion risk of surface soils (0∼30 cm depth). The relationships between these soil properties were explored by Spearman’s rank correlation analysis, further to determine the factors that affected the distribution of SOC, SON, and soil major elements under different soil types. Results The K factors in the red soils were significantly lower than those in the yellow soils and significantly higher than those in the lateritic red soils. The SON concentrations in the deep layer of the yellow soils were twice larger than those in the red soils and lateritic red soils, while the SOC concentrations between them were not significantly different. The concentrations of most major elements, except Al2O3 and SiO2, in the yellow soils, were significantly larger than those in the red soils and lateritic red soils. Moreover, the concentrations of major metal elements positively correlated with silt proportions and SiO2 concentrations positively correlated with sand proportions at the 0∼80 cm depth in the yellow soils. Soil major elements depended on both soil evolution and soil erosion in the surface layer of yellow soils. In the yellow soils below the 80 cm depth, soil pH positively correlated with K2O, Na2O, and CaO concentrations, while negatively correlated with Fe2O3 concentrations, which was controlled by the processes of soil evolution. The concentrations of soil major elements did not significantly correlate with soil pH or particle distribution in the red soils and lateritic red soils, likely associated with intricate factors. Conclusions These results suggest that soil nutrients and soil erodibility K factor in the yellow soils were higher than those in the lateritic red soils and red soils. The distribution of soil nutrients is controlled by soil erosion and soil evolution in the erosion region of Southeast China.

scholarly journals Pengaruh Ketepatan Kodefikasi Penyakit Terhadap Validasi Laporan Morbiditas Rawat Jalan

2020 ◽  
Vol 3 (1) ◽  
pp. 13-17
Author(s):  
Ivana Putri Risyanti ◽  
Syafira Atikah Yudianti
Keyword(s):  
Sampling Technique ◽  
Statistical Test ◽  
Main Diagnosis ◽  
Chi Square ◽  
Cross Sectional ◽  
Icd 10

According to the WHO in 2004 the coding implementation must be complete and accurate according to the direction of ICD 10. The accuracy of the code is influenced by the determination or determination of the patient's diagnosis. If the diagnosis is not accurate, it will affect the number of cases in making reports of morbidity, mortality and the calculation of various statistics of the hospital. There is an outpatient coding officer at RS X and also duty to make report morbiditas while making report morbiditas made manually because SIMRS not able to present data needed. In addition, the implementation of codification is performed on the main diagnosis only and outpatient morbidity reports have not been well documented. The objective of this research is to know the effect of the outpatient code on the  validation of outpatient morbidity report in RS X. This type of research uses analytic observation with Cross sectional approach. The population of this study is the number of outpatient cases in daily census outpatient dn report morbidity as many as 573 cases with total sampling technique. Statistical test using chi square on SPSS. The result of the research shows that there is an influence between the accuracy of disease codification on the validation of outpatient morbidity report in RS X with p = 0,000.AbstrakMenurut WHO tahun 2004 pelaksanaan pengkodean harus lengkap dan akurat sesuai arahan ICD 10. Keakuratan kode dipengaruhi oleh penetapan atau penentuan diagnosis pasien. Apabila dalam mengode diagnosis tidak akurat maka akan berpengaruh pada jumlah kasus dalam pembuatan laporan morbiditas, mortalitas serta penghitungan berbagai angka statistik rumah sakit. Petugas koding rawat jalan di RS X berjumlah satu dan bertugas pula membuat laporan morbiditas sedangkan pembuatan laporan morbiditas dibuat secara manual karena SIMRS belum bisa menyajikan data yang dibutuhkan. Selain itu, pelaksanaan kodefikasi dilakukan pada diagnosis utama saja dan laporan morbiditas rawat jalan belum terdokumentasikan dengan baik. Tujuan penelitian adalah mengetahui pengaruh ketepatan kodefikasi penyakit rawat jalan terhadap validasi laporan morbiditas rawat jalan di RS X. Jenis penelitian menggunakan observasi analitik dengan pendekatan Cross sectional. Populasi penelitian ini adalah jumlah kasus rawat jalan pada sensus harian rawat jalan dn laporan morbiditas sebanyak 573 kasus dengan teknik pengambilan total sampling. Uji statistik menggunakan chi square pada SPSS. Hasil penelitian menunjukan ada pengaruh antara ketepatan kodefikasi penyakit terhadap validasi laporan morbiditas rawat jalan di RS X dengan nilai p = 0,000. 

Modification of the USLE K factor for soil erodibility assessment on calcareous soils in Iran

Geomorphology ◽  
2016 ◽  
Vol 273 ◽  
pp. 385-395 ◽  
Author(s):  
Yaser Ostovari ◽  
Shoja Ghorbani-Dashtaki ◽  
Hossein-Ali Bahrami ◽  
Mehdi Naderi ◽  
Jose Alexandre M. Dematte ◽  
...  
Keyword(s):  
Calcareous Soils ◽  
Soil Erodibility ◽  
K Factor
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