{"data":{"id":"10.6084/m9.figshare.3506288.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3506288.v1","prefix":"10.6084","suffix":"m9.figshare.3506288.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"L.S, Arul","nameType":"Personal","givenName":"Arul","familyName":"L.S","affiliation":[],"nameIdentifiers":[]},{"name":"Dr. P. D. Dahe","affiliation":[],"nameIdentifiers":[]},{"name":"B. B. Deshmukh","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Estimation of Annual Runoff in Indravati Sub Basin of Godavari River using Statistical Approach"}],"publisher":"Figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"120501 Community Planning","subjectScheme":"FOR"},{"subject":"FOS: Social and economic geography","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Social and economic geography","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"120401 Engineering Design Empirical Studies","subjectScheme":"FOR"},{"subject":"FOS: Other engineering and technologies","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Other engineering and technologies","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"120505 Regional Analysis and Development","subjectScheme":"FOR"},{"subject":"120506 Transport Planning","subjectScheme":"FOR"},{"subject":"Hydrology"},{"subject":"90599 Civil Engineering not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Civil engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Civil engineering","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"90501 Civil Geotechnical Engineering","subjectScheme":"FOR"},{"subject":"90509 Water Resources Engineering","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2016-08-01","dateType":"Created"},{"date":"2016-08-01","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.3506288","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["657034 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"CC-BY","rightsUri":"http://creativecommons.org/licenses/by/3.0/us"}],"descriptions":[{"description":"\u003cb\u003e\u003ci\u003ePrediction\nof runoff from known rainfall is one of the major problems confronted by hydrologists.\nThere is lack of availability of long period runoff records in large number of\ncatchments in India. Investigators have proposed many empirical relationships\nfor runoff estimation in different catchments based on limited data of\nparameters affecting runoff. These regional relationships are useful in\nplanning of water resource projects. This study was carried out to obtain\nsimple yet effective relationship for estimation of annual runoff in Indravati\nsub basin of Godavari river. Regression analysis was carried out using annual\nrainfall, annual runoff and average annual temperature data to develop\nempirical models for annual runoff estimation. GIS software was used for\npreparing maps for the study area and to extract the precipitation and temperature\ndata available in grid format from IMD. The best suited empirical model is then\nselected as per statistical criteria with lower values of standard error,\nstandard deviation, mean absolute deviation (MAD), root mean square error\n(RMSE) and higher values of R square and correlation coefficient.  Statistical significance of selected empirical\nmodel was evaluated by paired t test, F test and P value at 95 % confidence\nlevel. The developed relationship is then compared with the existing Khosla and\nInglis and DeSouza relationships. Outcome of this comparison produces\nencouraging inferences to suggest an effective regional relationship for annual\nrunoff estimation in the Indravati sub basin of Godavari river in India.\u003c/i\u003e\u003c/b\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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