scholarly journals The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden

2020 ◽  
Vol 34 (26) ◽  
pp. 5489-5504
Author(s):  
Yanzi Yan ◽  
William Lidberg ◽  
David E. Tenenbaum ◽  
Petter Pilesjö
2021 ◽  
Author(s):  
Abdu Kamil

Abstract Background: Entrepreneurship is essential in creating, fulfilling and forming a healthy economy. This study is conducted to investigate Factor Affecting on Entrepreneurial Intention: The case study on Wollo University Students. Some studies have been done in this area but only a few were conducted in Ethiopia. This research aims to address the gap that exists due to the weakness of previous studies to verify the factors that affect entrepreneurial intention and provide more clarification on the topic. Methods: For the purpose of this study explanatory research design was employed. The researcher used stratified random sampling to classify all participants into seven colleges and one school of law. From each stratum proportionally by using purposive sampling to select 226 respondents with graduate students from college of business and economics for the desire of the study. Both primary and secondary data were collected. Primary data were collected through structured questionnaire from 210 students. Secondary data were collected from previous studies and used as reference. Results: The correlation and regression analysis has been applied to see the relationship and how independent variables influence entrepreneurial intention. From the analyses it is confirmed that demographic factors have statistically insignificant effect on entrepreneurial intention, while personal factors, environmental factors and family background have a statistically significant effect on entrepreneurial intention. Conclusions: Based on the findings it is concluded that demographic factor does not affect entrepreneurial intention while personal factors, environmental factors and family background affect entrepreneurial intention.


Author(s):  
Ana Jeleapov ◽  

The paper contains the results of classification of rivers and streams of the Republic of Moldova according to classic Strahler method. Mentioned method was applied to estimate the hierarchical rank of the stream segments situated in 50 pilot basins using modern GIS techniques and drainage network of the GIS for Water Resources of Moldova. It was estimated that the maximal order of segments is 7 specific for the Raut and Ialpug rivers. Overall, length of 1st order streams forms 50%, while that of 7th order streams - < 1%. Additionally, stream number and frequency as well as drainage density were calculated for pilot river basins.


2015 ◽  
Vol 3 (6) ◽  
pp. 538-548 ◽  
Author(s):  
Jianping Fan ◽  
Weizhen Yue ◽  
Meiqin Wu

AbstractThe conventional data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMUs) consuming multiple inputs to produce multiple outputs under the assumption that all the data are exact. In the real world, however, it is possible to obtain interval data rather than exact data because of various limitations, such as statistical errors and incomplete information, et al. To overcome those limitations, researchers have proposed kinds of approaches dealing with interval DEA, which either use traditional DEA models by transforming interval data into exact data or get an efficiency interval by using the bound of interval data. In contrast to the traditional approaches above, the paper deals with interval DEA by combining traditional DEA models with error propagation and entropy, uses idea of the modified cross efficiency to get the ultimate cross efficiency of DMUs in the form of error distribution and ranks DMUs using the calculated ultimate cross efficiency by directional distance index. At last we illustrate the feasibility and effectiveness of the proposed method by applying it to measure energy efficiency of regions in China considering environmental factors.


2012 ◽  
Vol 16 (8) ◽  
pp. 2739-2748 ◽  
Author(s):  
W. W. Zhao ◽  
B. J. Fu ◽  
L. D. Chen

Abstract. Land use and land cover are most important in quantifying soil erosion. Based on the C-factor of the popular soil erosion model, Revised Universal Soil Loss Equation (RUSLE) and a scale-pattern-process theory in landscape ecology, we proposed a multi-scale soil loss evaluation index (SL) to evaluate the effects of land use patterns on soil erosion. We examined the advantages and shortcomings of SL for small watershed (SLsw) by comparing to the C-factor used in RUSLE. We used the Yanhe watershed located on China's Loess Plateau as a case study to demonstrate the utilities of SLsw. The SLsw calculation involves the delineations of the drainage network and sub-watershed boundaries, the calculations of soil loss horizontal distance index, the soil loss vertical distance index, slope steepness, rainfall-runoff erosivity, soil erodibility, and cover and management practice. We used several extensions within the geographic information system (GIS), and AVSWAT2000 hydrological model to derive all the required GIS layers. We compared the SLsw with the C-factor to identify spatial patterns to understand the causes for the differences. The SLsw values for the Yanhe watershed are in the range of 0.15 to 0.45, and there are 593 sub-watersheds with SLsw values that are lower than the C-factor values (LOW) and 227 sub-watersheds with SLsw values higher than the C-factor values (HIGH). The HIGH area have greater rainfall-runoff erosivity than LOW area for all land use types. The cultivated land is located on the steeper slope or is closer to the drainage network in the horizontal direction in HIGH area in comparison to LOW area. The results imply that SLsw can be used to identify the effect of land use distribution on soil loss, whereas the C-factor has less power to do it. Both HIGH and LOW areas have similar soil erodibility values for all land use types. The average vertical distances of forest land and sparse forest land to the drainage network are shorter in LOW area than that in HIGH area. Other land use types have shorter average vertical distances in HIGH area than that LOW area. SLsw has advantages over C-factor in its ability to specify the subwatersheds that require the land use patterns optimization by adjusting the locations of land uses to minimize soil loss.


2015 ◽  
Vol 2015 ◽  
pp. 1-3 ◽  
Author(s):  
Tohru Ohnuma ◽  
Heii Arai

Shared psychotic disorder, characterized by shared delusion among two or more subjects (termed “Folie à deux,” “trois,” etc.), is often associated with strong religious beliefs or social isolation, factors creating strong psychological sympathy. Recently, we treated a rare familial case of “Folie à quatre” in central Tokyo without such influences. The proband was a schizophrenia patient and younger brother within monozygotic twins. Positive symptoms were “transmitted” to remaining family members, his elder brother, mother, and father father, in a relatively short period of three months. Although the pathophysiology of these positive symptoms (delusions and hallucinations) remains unclear, the transmission pattern suggests the primacy of social and environmental factors (and/or their interaction), while genetics appeared less influential in this “Folie à famille.” Although undiagnosed psychoses in the whole family cannot be excluded, they did not share the other negative schizophrenia symptoms of the proband. A strong familial connection appeared to be the most important factor for the common delusion and hallucination.


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