Prior Determination of Flash Floods: Artificial Intelligence Based Predictive Analysis Using Modified Cuckoo Search

2020 ◽  
Vol 17 (2) ◽  
pp. 990-995
Author(s):  
Talha Ahmed Khan ◽  
Muhammad Alam ◽  
Kushsairy Kadir ◽  
Zeeshan Shahid ◽  
M. S. Mazliham

Flash floods are considered as the most intense hazard therefore rapid identification is needed. Tsunami also causes flash floods as it is commonly generated around the Pacific Ocean. Flash floods are also caused by the severely blocked streams in heavy rainfall. Floods have ended up so many lives more than the other natural hazards and also devastated precious belongings and infrastructures. Cattles have also been affected by the floods event. Floods devastate the construction and infrastructure like roads, bridges and buildings that comes in the vicinity of effected area by flood. Breakdown and overflow of dams may produce the deadly flash floods to the populated area and environs. Many strategies and methods have been followed to determine the flash floods on early basis so that evacuation announcements may be propagated. Numerous researches have been studied and carried out to accomplish this task. Development of dams and reservoirs have been given more significance. Artificial Intelligence based competent decision-making algorithms like Bayesian classifier, PSO, ANN, NNARX, SVM and GA have been applied to achieve more accuracy in predictive analysis. Direct observations from the sensors and data from the meteorological department have also been used for the predictive analysis of flash floods. Many yardstick parameters have been proposed in past researches to identify the flash floods vigorously like environmental CO2 levels, precipitation velocity, wind speed, upstream level, height of the water, pressure, temperature and cloud to ground flashes. In this research papers a novel Artificial Intelligence based approach Modified Cuckoo Search (MCS) has been adopted to forecast the flash floods more rapidly and accurately. Obtained results in the MATLAB have proved that Modified cuckoo search with the combination of Artificial Neural Network worked better than the recent available methods. Results have also been validated by comparing the MLP-PSO.

1843 ◽  
Vol 133 ◽  
pp. 113-143 ◽  

In the present number of these Contributions, I resume the consideration of Captain Sir Edward Belcher’s magnetic observations, of which the first portion, viz. that of the stations on the north-west coast of America and adjacent islands, was discussed in No. II. The return to England of Her Majesty’s ship Sulphur by the route of the Pacific Ocean, and her detention for some months in the China Seas, have enabled Sir Edward Belcher to add magnetic determinations at thirty-two stations to those at the twenty-nine stations previously recorded. In the notice of the earlier observations, a provisional coefficient was employed in the formula for the temperature corrections of the results with the intensity needles, as no experiments had then been made for the determination of their individual co­efficients. As soon therefore as Sir Edward Belcher had completed the observation of the times of vibration of those needles at Woolwich, as the concluding station of the series made with them, Lieut. Riddell, R. A. undertook the determination of their several coefficients, which was performed in the manner and with the results described in the subjoined memorandum.


1830 ◽  
Vol 120 ◽  
pp. 59-68

In November 1827 I received a special commission from General Bolivar to make a survey of the Isthmus of Panamá and Darien, in order to ascertain the best and most eligible line for a communication (whether by road or canal) between the two seas. On my arrival in Panamá in March 1828 I was joined by a brother officer of Engineers, a Swede in the Colombian service, a good mathematician and of habits of great correctness in observation. Upon consulting together, we found that we could combine the particular object of the commission with a second object in which we both felt a deep interest, namely, the determination of the relative height of the ocean on either side of the Isthmus; and that we could best accomplish both, by taking a part of the present line of road between Porto Velo and Panamá, until we should fall in with the river Chagres about twenty miles above Cruces, which village is the usual landing-place for all articles of commerce in their transit from the North Sea to Panamá.


2015 ◽  
Vol 78 (2) ◽  
pp. 396-401 ◽  
Author(s):  
DENNIS P. CLADIS ◽  
RONGRONG ZHANG ◽  
XI TAN ◽  
BRUCE CRAIG ◽  
CHARLES R. SANTERRE

Total mercury was measured via thermal decomposition amalgamation atomic absorption spectroscopy in the muscle tissue of 82 swordfish originating in the Pacific Ocean and was found to range from 228 to 2,090 ppb. The relationships between total mercury concentration and the size of the fish (i.e., length and weight) were analyzed. It was found that dressed weight (DW) was a better predictor of mercury concentration than cleithrum-to-caudal keel length in a single variable model, and DW was the only significant predictor of mercury concentration in a multivariable model. Based on these relationships, swordfish with a DW greater than 96.4 kg (213 lb; 95% confidence interval, 88 to 107 kg [195 to 235 lb]) will exceed 1,000 ppb of mercury—the action level in the United States, Canada, and Europe—and should not be sold in commercial markets. Additionally, a logistic regression model was created to illustrate the probability of a swordfish at any DW being unsafe to consume (i.e., containing more than 1,000 ppb of mercury). In this model, the probability of a swordfish being unsafe exceeds the probability of being safe at 94.6 kg (209 lb). Taken together, the models presented in this report give regulators valuable postharvest tools to use for rapid determination of the safety of swordfish intended for sale in commercial markets.


2001 ◽  
Vol 28 (19) ◽  
pp. 3721-3724
Author(s):  
Cathy Stephens

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