Filters








14,575 Hits in 4.7 sec

Monthly Rainfall Estimation Using Data-Mining Process

Özlem Terzi
2012 Applied Computational Intelligence and Soft Computing  
It was shown that the data mining process can be used in estimation of missing rainfall values.  ...  For this purpose, the models were developed to estimate rainfall in Isparta using the data-mining process.  ...  In this study, data-mining process was used to estimate monthly rainfall values of Isparta.  ... 
doi:10.1155/2012/698071 fatcat:3xxjywt2mzbr7kahfjcw6tg3li

Monthly Rainfall Estimation Using Data-Mining Process

Nikhil Sethi, Kanwal Garg
2012 Applied Computational Intelligence and Soft Computing   unpublished
Widely used techniques for prediction are Regression analysis, clustering, and Artificial Neural Network (ANN).  ...  Rainfall plays an important role in agriculture so early prediction of rainfall plays an important role in the economy of India.  ...  Ozlem Terzi [3] proposed a model to estimate rainfall in Esparto using data mining process. Author used monthly rainfall values of Senirkent, Uluborlu and E˘girdir stations.  ... 
fatcat:civskzdmtjhmrgax52pz4jtime

Monthly River Flow Forecasting by Data Mining Process [chapter]

zlem Terzi
2011 Knowledge-Oriented Applications in Data Mining  
This chapter indicates the ability of data mining (DM) process to forecast monthly flow data.  ...  while data mining (DM) process is not yet widely used in the hydrology area.  ...  Monthly River Flow Forecasting by Data Mining Process, Knowledge-Oriented Applications in Data Mining, Prof.  ... 
doi:10.5772/13566 fatcat:cm2nxu3obfdpzaf5kou37q7uaq

A Comprehensive Survey of Data Mining Techniques on Time Series Data for Rainfall Prediction

Neelam Mishra, Hemant Kumar Soni, Sanjiv Sharma, A.K. Upadhyay
2017 Journal of ICT Research and Applications  
In the present study, a comprehensive survey of data mining approaches and statistical techniques for rainfall prediction on time series data was conducted.  ...  Various techniques are available for prediction and forecasting on the basis of time series data. Presently, the use of data mining techniques for this purpose is increasing day by day.  ...  Mahsin, et al. [17] Box-Jenkins Technique + ARIMA Bangladesh Rainfall data 30 years Rainfall Monthly rain 4 Data Mining Techniques for Rainfall Forecasting Data mining is now used in various domains, including  ... 
doi:10.5614/itbj.ict.res.appl.2017.11.2.4 fatcat:nmqzd54wtfdihpwsgsgtz7oub4

STUDY OF DECADAL RAINFALL VARIATION OF RAMGARH DISTRICT USING TRMM DATA

Sumit Kumar Jha, Pratibha Warwade, Sandeep Kumar Mahto
2020 Journal of Water Engineering and Management  
The approved accuracy of TRMM data through NASA has been frequently used to study the rainfall data of those locations where the rain gauge stations are unavailable or the data are not relevant for the  ...  TRMM 3B43 data of 7 Raster location points of Ramgarh district has been processed and the precipitation maps were prepared accordingly under Arc GIS.  ...  The Tropical Rainfall Measuring Mission (TRMM) of rainfall product (3B43) and the rain gauge data having monthly gridded values obtained from the Australian Bureau of Meteorology (BoM) have been taken.  ... 
doi:10.47884/jweam.v1i1pp63-68 fatcat:qsohtbhyevajzmdfn6acassu4a

Vegetation Monitoring in Shendong Mining Area by Remote Sensing

Ying Liu, Hui Yue
2015 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Monthly average temperatures, rainfall, solar radiation, air pressure and maximize monthly SPOT/MODIS annual and seasonal changes of NDVI have similar characteristics ( Figure 5 ).  ...  The vegetation coverage overall showed an upward trend in using simple linear regression analysis, NDVI from MODIS and SPOT data was analyzed both inter-annual and intra-annual change.  ...  stations of Daliuta and Shenmu weather stations between 2000-2011 in Shendong mining area, and selected 7 commonly used meteorological factors: monthly average rainfall, monthly average relative humidity  ... 
doi:10.14257/ijsip.2015.8.6.15 fatcat:uasdfnqp5nepxavklzfzxsxqrq

A SURVEY ON CLASSIFICATION TECHNIQUES USED FOR RAINFALL FORECASTING

KolluruVenkata Nagendra
2017 International Journal of Advanced Research in Computer Science  
Data mining is one of the major areas of research. An extensive research is being done on classification, which is one of the functionalities of data mining.  ...  In this paper, we discuss different classification techniques used for rainfall forecasting.  ...  Instead of regression Classification technique is used to process large data. The most significant data mining techniques are follow the machine learning process.  ... 
doi:10.26483/ijarcs.v8i8.4645 fatcat:lzchp6qwsvbqpgmn7knkmix7pu

Different Data Mining Techniques for Rainfall Prediction - A Survey

Deeksha Tripathi
2019 International Journal for Research in Applied Science and Engineering Technology  
For the past thirty years, ANN has been used effectively by most scientists in this sector. In this study, different data mining techniques are investigated.  ...  The aim of data mining efforts is usually to produce a descriptive model or predictive model.  ...  It was better to predict rainfall estimates using long-term information sequence.  ... 
doi:10.22214/ijraset.2019.7080 fatcat:jszrsai53jajvjhlk7v6c7a2nm

The application of a visual data mining framework to determine soil, climate and land use relationships

Y. Vagh
2012 Procedia Engineering  
In this pilot study, monthly rainfall profiles for a selected study area were used to identify areas of soil variability.  ...  In this research study, the methodology of action research dynamics and a case study was employed in constructing a visual data mining framework for the processing and analysis of geographic land-use data  ...  Phil Goulding from the DAFWA organisation for his invaluable assistance in providing the data as well as his advice and suggestions on sampling the data.  ... 
doi:10.1016/j.proeng.2012.01.1271 fatcat:5m6c2q3blbgwtkofb762ocyayu

Rainfall Prediction using Data Mining Techniques: A Systematic Literature Review

Shabib Aftab, Munir Ahmad, Noureen Hameed, Muhammad Salman, Iftikhar Ali, Zahid Nawaz
2018 International Journal of Advanced Computer Science and Applications  
This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction.  ...  Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data.  ...  IC3: Papers which have predicted the rainfall using data mining techniques. IC4: Papers which have performed comparison of data mining techniques on rainfall prediction.  ... 
doi:10.14569/ijacsa.2018.090518 fatcat:lqf2acdfb5gr3l5isirwycqegy

Impact of mining operations on the ecology of river Offin in Ghana

HR Dankwa, CA Biney, KAA DeGraft-Johnson
2009 West African Journal of Applied Ecology  
Methodologies involving computerised dispersion modelling was used to estimate near-field ambient pollutant impacts on neighbouring Tarkwa-Banso community, at 400 m from the Mine's nearest operational  ...  and mine machinery exhaust emissions, as well as crushing of blasted rocks.  ...  Air pollutants emissions data (dust and exhaust fumes) estimated from the proposed mining equipment specified in the Mine's Environmental Impact Statements (GMC-EIS, 2012) were also used to predict concentrations  ... 
doi:10.4314/wajae.v7i1.45638 fatcat:lmf2ut2lrzcl7g57f527qz5nba

Multiple Linear Regressions for Predicting Rainfall for Bangladesh

MAI Navid
2018 Communications  
Data mining might be used to make precise predictions for rainfalls. Most widely used techniques for rainfall is clustering, artificial neural networks, linear regression etc.  ...  In this article multiple linear regressions used for predicting rainfall in Bangladesh.  ...  Reviews and Previous Findings A model was proposed to estimate rainfall in Esparto using data mining process. Author used monthly rainfall values of Senirkent, Uluborlu and E˘girdir stations.  ... 
doi:10.11648/j.com.20180601.11 fatcat:ummlkfnacbhabdda76d6tp2yni

Spatial-Temporal Trend Analysis of Rainfall Erosivity and Erosivity Density of Tropical Area in Air Bengkulu Watershed, Indonesia

Supriyono Supriyono, Sugeng Utaya, Didik Taryana, Budi Handoyo
2021 Quaestiones Geographicae  
This study aimed to analyze spatial-temporal in rainfall erosivity and ED based on monthly rainfall data (mm).  ...  The data used consisted of 19 weather stations during the period 2006–2020 and which are sparsely distributed over the watershed. The analysis was done by using Arnold's equation.  ...  data free of cost which has been used in this study.  ... 
doi:10.2478/quageo-2021-0028 fatcat:c764gmdbbnhx7pqvmqdcutxwoi

Water Balance of Pit Lake Development in the Equatorial Region

Edy Jamal Tuheteru, Rudy Sayoga Gautama, Ginting Jalu Kusuma, Arno Adi Kuntoro, Kris Pranoto, Yosef Palinggi
2021 Water  
The overland zone is simulated using the Rainfall-Runoff NRECA Hydrological Model approach to determine the runoff and groundwater components, whereas the pit area is affected by direct rainfall and evaporation  ...  The model is validated with the observation data. The main source of water in the J-void pit lake is rainwater, both from the surrounding catchment area as well as direct rainfall.  ...  Three or four parameters were used in this model to generate discharge data on the basis of the monthly rainfall data.  ... 
doi:10.3390/w13213106 fatcat:hdhgcnvjzfhvrllbxfsvqrcnku

Hydrological characterization of Mahd Ad Dahab Gold Mine, Saudi Arabia

Faisal K Zaidi
2012 International Journal of Physical Sciences  
The runoff estimates for a maximum rainfall event of 104 mm/day is equal to 21.527 m 3 /s for Watershed A and 8.310 m 3 /s for Watershed B.  ...  The study aims at the integrated use of existing meteorological information with the drainage basin morphometry of the mine catchment for determining the preferential flow path for the mine contaminants  ...  Incorporating the information obtained from the meteorological data and drainage basin morphometry, the peak runoff estimate for the area was calculated using the Rational Method (US Soil Conservation  ... 
doi:10.5897/jciir12.206 fatcat:2pwhgkkkkneltai5vuuikrwwey
« Previous Showing results 1 — 15 out of 14,575 results