Data sets on delineation of groundwater potential zones identified by geospatial tool in Gudur area, Nellore district, Andhra Pradesh, India

Veeraswamy Golla; Balaji Etikala; Ala Veeranjaneyulu; M. Subbarao; A. Surekha; K. Narasimhlu

Data in Brief (Oct 2018)

Data sets on delineation of groundwater potential zones identified by geospatial tool in Gudur area, Nellore district, Andhra Pradesh, India

Veeraswamy Golla,
Balaji Etikala,
Ala Veeranjaneyulu,
M. Subbarao,
A. Surekha,
K. Narasimhlu

Affiliations

Veeraswamy Golla: Dept. of Geology, Sri Venkateswara University, Tirupathi, Andhra Pradesh, India; Dept. of Geology, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India; Corresponding author at: Dept. of Geology, Sri Venkateswara University, Tirupathi, Andhra Pradesh, India
Balaji Etikala: Dept. of Geology, Sri Venkateswara University, Tirupathi, Andhra Pradesh, India; Dept. of Geology, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
Ala Veeranjaneyulu: Dept. of Geology, Sri Venkateswara University, Tirupathi, Andhra Pradesh, India; Dept. of Geology, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
M. Subbarao: Dept. of Geography, Sri Venkateswara University, Tirupathi, Andhra Pradesh, India; Dept. of Civil Engineering, AITS, Tirupathi, Andhra Pradesh, India
A. Surekha: Dept. of Geography, Sri Venkateswara University, Tirupathi, Andhra Pradesh, India; Dept. of Civil Engineering, AITS, Tirupathi, Andhra Pradesh, India
K. Narasimhlu: Dept. of Geography, Sri Venkateswara University, Tirupathi, Andhra Pradesh, India; Dept. of Civil Engineering, AITS, Tirupathi, Andhra Pradesh, India

Journal volume & issue: Vol. 20
pp. 1984 – 1991

Abstract

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The data deals with the preparation of the groundwater potential zone map of gudur area, with the help of data like geology and geomorphology, structure/lineament, slope and drainage and the thematic layer were prepared through the Survey of India toposheet Nos. N/12,N/15,N/16 and IRS-P6 LISS-III(RESOURCESAT-2) satellite data. The groundwater potential zones were obtained and classified into four categories, viz., very poor, poor, good, and very good zones. The data explains lateritic plain moderate basement with poor potential zones whereas secondarily occupies alluvial plain contains the good prospecting zone. Keywords: Geology, Geomorphology, Lineament, Drainage, Slope map and Hydro geomorphology map

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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