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11.
This study challenges the use of three nature‐inspired algorithms as learning frameworks of the adaptive‐neuro‐fuzzy inference system (ANFIS) machine learning model for short‐term modeling of dissolved oxygen (DO) concentrations. Particle swarm optimization (PSO), butterfly optimization algorithm (BOA), and biogeography‐based optimization (BBO) are employed for developing predictive ANFIS models using seasonal 15 min data collected from the Rock Creek River in Washington, DC. Four independent variables are used as model inputs including water temperature (T), river discharge (Q), specific conductance (SC), and pH. The Mallow's Cp and R2 parameters are used for choosing the best input parameters for the models. The models are assessed by several statistics such as the coefficient of determination (R2), root‐mean‐square error (RMSE), Nash–Sutcliffe efficiency, mean absolute error, and the percent bias. The results indicate that the performance of all‐nature‐inspired algorithms is close to each other. However, based on the calculated RMSE, they enhance the accuracy of standard ANFIS in the spring, summer, fall, and winter around 13.79%, 15.94%, 6.25%, and 12.74%, respectively. Overall, the ANFIS‐PSO and ANFIS‐BOA provide slightly better results than the other ANFIS models. 相似文献
12.
Multi-sensor approach to settlement analysis of earth dams 总被引：1，自引：0，他引：1
In this paper, a fusion method for the settlement study of the earth dams based on geodetic and geotechnical data is developed.
The developed method can be algorithmically explained as follows: (a) interpolation of the geotechnical data to the epoch
of geodetic observations by four degree polynomial fitting, which serves as a low-pass filter. (b) Conversion of the initial
observations into time series of the dam heights at the geodetic and geotechnical stations. (c) Fusion of the data from the
two sources at different fusion levels. (d) Final decision based on the deformation parameters derived from fused data. The
significant innovation of the proposed method centered upon its ability to incorporate geodetic and geotechnical observation
types into a one integrated solution through fusion. The method is numerically tested for the Karkhe earth dam by using geodetic
and geotechnical data from 1997 till 2009. The numerical evaluation at 229 check points indicates more than 70% improvement
in the settlementmodeling based on the fusion of the geodetic and geotechnical data, as compared to the settlement modeling
based on geotechnical data alone. 相似文献
13.
Marzieh Heidareh Farahnaz Motamedi Sedeh Mehdi Soltani Saeed Rajabifar Mohammad Afsharnasab Aghil Dashtiannasab 《中国海洋湖沼学报》2014,32(5):1024-1028
The present study was conducted to investigate the effect of gamma irradiation on white spot syndrome virus(WSSV). White spot syndrome virus is a pathogen of major economic importance in cultured penaeid shrimp industries. White spot disease can cause mortalities reaching 100% within 3–10 days of gross signs appearing. During the period of culture, immunostimulant agents and vaccines may provide potential methods to protect shrimps from opportunistic and pathogenic microrganisms. In this study, firstly, WSSV was isolated from infected shrimp and then multiplied in crayfish. WSSV was purified from the infected crayfish haemolymph by sucrose gradient and confirmed by transmission electron microscopy. In vivo virus titration was performed in shrimp, Penaeus semisulcatus. The LD50 of live virus stock was calculated 10 5.4 /mL. Shrimp post-larvae(1–2 g) were treated with gamma-irradiated(different doses) WSSV(10 0 to 10-4 dilutions) for a period of 10 days. The dose/survival curve for irradiated and un-irradiated WSSV was drawn; the optimum dose range for inactivation of WSSV and unaltered antigenicity was obtained 14–15 kGy. This preliminary information suggests that shrimp appear to benefit from treatment with gammairradiated WSSV especially at 14–15 KGy. 相似文献
14.
Parvin Eslami Marzieh Mottaghizadeh Hamid Reza Pakzad 《Astrophysics and Space Science》2012,338(2):271-278
The head-on collision between two electron-acoustic solitary waves (EASWs) in an unmagnetized plasma is investigated, including
a cold electrons fluid, hot electrons, obeying a nonextensive distribution and stationary ions. By using the extended Poincaré-Lighthill–Kuo
(PLK) perturbation method, the analytical phase shifts following the head-on collision are derived. The effects of the ratio
of the number density of hot electrons to the number density of cold electrons α, and the nonextensive parameter q on the phase shifts are studied. It is found that q and the hot-to-cold electron density ratio significantly modify the phase shifts. 相似文献
15.
Biological soil crust (BSC) restoration could effectively contribute in reducing several adverse environmental impacts such as soil erodibility. The usefulness of the microorganism constituent of the arid land (e.g., desert land cyanobacteria Microcoleus) for the BSC restoration has already been introduced, not only by laboratory studies but also by many other field investigations. In order to isolate the soil cyanobacteria with a potential to support BSC succession, soil samples from the southwestern dry lands in Iran were taken, soils serial dilution was prepared and submerged, and streaking-plate methods were applied. The newly isolated native cyanobacterium was identified as the Microcoleus on the genus level following the standard references. The isolated cyanobacterium was cultured phototrophically using five different media consisting of BBM, BG-11, F/2, Jourdan, and artificial wastewater submerged batch. Microcoleus spp. was found in all sites soil samples. The maximum biomass was achieved in the Jourdan submerged culture medium with an amount of 0.88 g/L. The cell density in this culture medium was increased up to 20 times of the initial cell density during 7 days of the cultivation. The specific biomass growth rate was calculated to be in a range of 0.03–0.057 per day. The preliminary experiments and reported restoration activities of Microcoleus submerged cultures were shown to have the potential for providing the soil with the inoculant for the restoration of the degraded arid lands such as Middle East region. 相似文献
16.
Ali Mahaqi Moheghy Mohammad Anvar Moheghi Mohammad Mehdi Mehiqi Marzieh Zandvakili Zahra 《Water Resources》2020,47(2):325-335
Water Resources - Water in Central Asia is a precious resource in the semiarid and arid environments in which people live in the region. Understanding the groundwater quality is important as it is... 相似文献
17.
Water Resources - Reconnaissance and conceptualization of the system are the first steps to perform an integrated assessment study and step towards sustainability. This paper focuses on the... 相似文献
18.
Natural Hazards - In this study, Dempster–Shafer theory (DST) is integrated into a geographic information system to model vulnerability of the land surface to earthquake events in... 相似文献
19.
Hasanzadeh Saray Marzieh Eslamian Seyed Saeid Kl&#;ve Bj&#;rn Gohari Alireza 《Theoretical and Applied Climatology》2020,140(1):115-127
Theoretical and Applied Climatology - This study examined the effect of different attributes on regionalization of potential evapotranspiration (ETp) in Urmia Lake Basin (ULB), Iran, using the... 相似文献
20.
Marzieh Mortezapour Brian Menounos Peter L. Jackson Andre R. Erler Ben M. Pelto 《水文研究》2020,34(25):5085-5103
Glaciers are commonly located in mountainous terrain subject to highly variable meteorological conditions. High resolution meteorological (HRM) data simulated by atmospheric models can complement meteorological station observations in order to assess changes in glacier energy fluxes and mass balance. We examine the performance of two snow models, SnowModel and Alpine3D, forced by different meteorological data for winter mass balance simulations at four glaciers in the Canadian portion of the Columbia Basin. The Weather Research and Forecasting model (WRF) with resolution of 1 km and the North American Land Data Assimilation System with ~12 km resolution, provide HRM data for the two snow models. Evaluation is based on the ability of the snow models to simulate snow depth at both point locations (automated snow weather stations) and over the entire glacier surface (airborne LiDAR [Light Detection and Ranging] surveys) during the 2015/2016 winter accumulation. When forced with HRM data, both models can reproduce snow depth to within ±15% of observed values. Both models underestimate winter mass balance when forced by HRM data. When driven with WRF data, SnowModel underestimates winter mass balance integrated over the glacier area by 1 and 10%, whilst Alpine3D underestimates winter mass balance by 12 and 22% compared with LiDAR and stake measurements, respectively. The overall results show that SnowModel forced by WRF simulated winter mass balance the best. 相似文献