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Uncertainty analysis of runoff and sedimentation in a forested watershed using sequential uncertainty fitting method

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Research in Cold and Arid Regions 2016年第4期8卷 297-310页

作者： Tanveer Abbas Ghulam Nabi muhammad w.boota Fiaz Hussain muhammad I.Azam HuiJun Jin muhammad Faisal Centre of Excellence in water Resources Engineering University of Engineering and Technology Lahore State Key Laboratory of Frozen Soils Engineering Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences

The Soil and water Assessment Tool （SwAT） was implemented in a small forested watershed of the Soan River Basin innorthern Pakistan through application of the sequential uncertainty fitting （SUFI-2） method to investigate the associateduncertainty in runoff and sediment load estimation. The model was calibrated for a 10-year period （1991–2000） with aninitial 4-year warm-up period （1987–1990）, and was validated for the subsequent 10-year period （2001–2010）. Themodel evaluation indices R2 （the coefficient of determination）, NS （the Nash-Sutcliffe efficiency）, and PBIAS （percentbias） for stream flows simulation indicated that there was a good agreement between the measured and simulated *** assess the uncertainty in the model outputs, p-factor （a 95% prediction uncertainty, 95PPU） and r-factors （averagewideness width of the 95PPU band divided by the standard deviation of the observed values） were taken into *** 95PPU band bracketed 72% of the observed data during the calibration and 67% during the validation. The r-factorwas 0.81 during the calibration and 0.68 during the validation. For monthly sediment yield, the model evaluation coefficients（R2 and NS） for the calibration were computed as 0.81 and 0.79, respectively; for validation, they were 0.78and 0.74, respectively. Meanwhile, the 95PPU covered more than 60% of the observed sediment data during calibrationand validation. Moreover, improved model prediction and parameter estimation were observed with the increasednumber of iterations. However, the model performance became worse after the fourth iterations due to an unreasonableparameter estimation. Overall results indicated the applicability of the SwAT model with moderate levels of uncertaintyduring the calibration and high levels during the validation. Thus, this calibrated SwAT model can be used for assessmentof water balance components, climate change studies, and land use management practices.

关键词： hydrological modeling uncertainty analysis SwAT model the Soan River Basin SUFI-2 method

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Comparative study of probable maximum precipitation and isohyetal maps for mountainous regions, Pakistan

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Research in Cold and Arid Regions 2018年第1期10卷 55-68页

作者： muhammad waseem boota Ghulam Nabi Tanveer Abbas Hui Jun Jin Ayesha Yousaf muhammad Azeem boota Department of Technology (Civil) The University of Lahore Centre of Excellence in water Resources Engineering University of Engineering and Technology Lahore State Key Laboratory of Frozen Soils Engineering Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Department of Mechanical Engineering University of Engineering & Technology Lahore Department of Agricultural Engineering The University of Agriculture Faisalabad

Probable maximum precipitation(PMP) is widely used by hydrologists for appraisal of probable maximum flood(PMF)used for soil and water conservation structures, and design of dam spillways. A number of methods such as empirical, statistical and dynamic are used to estimate PMP, the most favored being statistical and hydro-meteorological. In this paper,PMP estimation in mountainous regions of Pakistan is studied using statistical as well as physically based hydro-meteorological approaches. Daily precipitation, dew point, wind speed and temperature data is processed to estimate PMP for a one-day duration. Maximum precipitation for different return periods is estimated by using statistical approaches such as Gumble and Log-Pearson type-III(LP-III) distribution. Goodness of fit(GOF) test, chi-square test, correlation coefficient and coefficient of determination were applied to Gumble and LP-III distributions. Results reveal that among statistical approaches, Gumble distribution performed the best result compared to LP-III distribution. Isohyetal maps of the study area at different return periods are produced by using the GIS tool, and PMP in mountainous regions varies from 150 to 320 mm at an average value of 230.83 mm. The ratio of PMP for one-day duration to highest observed rainfall(HOR) varied from 1.08 to 1.29 with an average value of 1.18. An appropriate frequency factor(K_m) is very important which is a function of mean for observed precipitation and PMP for 1-day duration, and K_m values varies from 2.54 to 4.68. The coefficient of variability(C_v) varies from minimum value of 28% to maximum value of 43.35%. It was concluded that the statistical approach gives higher results compared to moisture maximization(MM) approach. In the hydro-meteorological approach, moisture maximization(MM) and wind moisture maximization(wMM) techniques were applied and it was concluded that wind moisture maximization approach gives higher results of PMP as compared to moisture maximiz

关键词： PMP Hershfield method Gumble and LP-III method Hydro-meteorological approaches Goodness of fit(GOF) tests

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Comparative Analysis of Operating System of Different Smart Phones

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Journal of Software Engineering and Applications 2015年第3期8卷 114-126页

作者： Naseer Ahmad muhammad waqas boota Abdul Hye Masoom Department of Computer Science Virtual University of Pakistan Lahore Pakistan

Nowadays rapidly increasing technology is mobile phone technology in telecommunication sector. This mobile device technology has great effect on everyone’s life. This technology has reduced the burden of people in their daily life. To manage the rising demand for such mobile devices, numerous operating systems came in the market as a platform upon which modern application can be produced. As a result, numbers of platforms and essential depository describe these platforms;customers may or may not be aware of these platforms that are appropriate for their needs. In order to solve this issue, we examine the most famous mobile phone operating systems to decide which operating system is most suitable for developers, business applications as well as casual use. In this paper we make assessment on the popular operating systems of mobile devices available in the business market, and on behalf of such assessment we distinguish that operating system OS is much useful of its particular characteristics compared with other systems.

关键词： Operating System Mobile Phone Communication Architecture OS

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Smart Phone Application Evaluation with Usability Testing Approach

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Journal of Software Engineering and Applications 2014年第12期7卷 1045-1054页

作者： Naseer Ahmad muhammad waqas boota Abdul Hye Masoom Department of Computer Science Virtual University of Pakistan Lahore Pakistan

In this paper, we present a narrative role methodology based on different people’s opinions,?which is now implemented in our research environment for the purpose of testing novel techniques, the usability testing of most common used smart phones such as Android and Apple smart phone application. This research analysis is carried out for various corresponding features to compare or evaluate different features on the basis of modern smart phones’ operating system, framework for hardware and software, battery life and many more features. Usability testing of smart phones’ software application is a promising research context that nowadays faces a number of challenges because of sole features of mobile phones, narrow bandwidth, varying environmental factors and unreliability of wireless connection or networks. A number of questionings are applied to accumulate user’s opinion about ongoing features. Users of Android and Apple smart phones reply by answering based on their routine life usage experience. In this paper, we will also elaborate and provide a new proposed model for mobile devices.

关键词： Usability Smart Phone Laboratory Field Android iPhone

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