Dicionário de Dados

ID
id
Tipo
int4
Rótulo
index

ID
station_name
Tipo
text
Rótulo
Station Name

ID
station_code
Tipo
text
Rótulo
Station Code

ID
station_type
Tipo
text
Rótulo
Station Type

ID
station_status
Tipo
text
Rótulo
Station Status

ID
data_acquisition_mode
Tipo
text
Rótulo
Data Acquisition Type

ID
agency_name
Tipo
text
Rótulo
Agency Name

ID
agency_id
Tipo
text
Rótulo
Agency Id

ID
well_type
Tipo
text
Rótulo
Well Type

ID
well_aquifer_type
Tipo
text
Rótulo
Well Aquifer Type

ID
latitude
Tipo
numeric
Rótulo
Latitude

ID
longitude
Tipo
numeric
Rótulo
Longitude

ID
date_of_establishment
Tipo
date
Rótulo
Date of Establishment

ID
data_available_from
Tipo
date
Rótulo
Data Available From

ID
discharge_data_available
Tipo
text
Rótulo
Availability of Discharge Data

ID
discharge
Tipo
numeric
Rótulo
Discharge Volume

ID
well_depth
Tipo
numeric
Rótulo
Depth of Well

ID
date
Tipo
date
Rótulo
Data Date

ID
time
Tipo
text
Rótulo
Time of Data taken

ID
data_type_code
Tipo
text
Rótulo
Data Type Code

ID
data_type_description
Tipo
text
Rótulo
Data Type Description

ID
data_value
Tipo
numeric
Rótulo
Data Value

Informações Adicionais

Campo Valor
Dados atualizados pela última vez 17 de junho de 2025
Metadados atualizados pela última vez 17 de junho de 2025
Criado 13 de junho de 2025
Formato CSV
Licença Nenhuma Licença Fornecida
Additional infonan
Data extraction pagehttps://indiawris.gov.in/wris/#/timeseriesdata
Data insightsTelemetric groundwater data enable timely and high-resolution insights into water table fluctuations, recharge-discharge dynamics, and aquifer health. Researchers can utilize this dataset to detect early signs of groundwater stress, evaluate the effectiveness of water conservation policies, or model hydrological patterns over time. For policymakers, the dataset supports real-time decision-making, especially in areas experiencing groundwater depletion or agricultural water demand.
Data last updated19-05-2025
Data retreival date19-05-2025
Datastore activeTrue
District no0
FrequencyDaily
Gp no0
GranularityPoint
Has viewsTrue
Idf78f7b15-f325-4c39-a291-f44ad4e95334
Idp readyFalse
MethodologyThe data originates from the India Water Resources Information System (India-WRIS) and includes groundwater readings collected via both manual field techniques and automated telemetric sensors. Manual data is gathered periodically by trained personnel, while telemetric stations use real-time sensors to capture and transmit water level and discharge data. Each record is supplemented with metadata such as acquisition method, station details, and timestamp, enabling comprehensive and reliable groundwater monitoring.
Mimetypetext/csv
No indicators3
Package ide068e959-4d85-4287-809d-772bf2b2d83c
Position1
Size1,4 GiB
Skumojs-gwl_telemetric-dl-pl-abc
Stateactive
States uts no0
Tags['Groundwater Monitoring', 'Water Resources', 'Hydrology', 'Environmental Data', 'Manual Data Collection', 'Aquifer Management', 'India-WRIS', 'Station Metadata', 'Water Depth', 'Discharge Volume']
Tehsil no0
Url typeupload
Village no0
Years covered1987-2025
Methodology The data originates from the India Water Resources Information System (India-WRIS) and includes groundwater readings collected via both manual field techniques and automated telemetric sensors. Manual data is gathered periodically by trained personnel, while telemetric stations use real-time sensors to capture and transmit water level and discharge data. Each record is supplemented with metadata such as acquisition method, station details, and timestamp, enabling comprehensive and reliable groundwater monitoring.
Indicators
Similar Resources
Granularity Level Point
Data Extraction Page https://indiawris.gov.in/wris/#/timeseriesdata
Data Retreival Date 19-05-2025
Data Last Updated 19-05-2025
Sku mojs-gwl_telemetric-dl-pl-abc
Dataset Frequency Daily
Years Covered 1987-2025
No of States/UT(s) 0
No of Districts 0
No of Tehsils/blocks 0
No of Gram Panchayats 0
Informações Adicionais nan
Number of Indicators 3
Insights from the dataset Telemetric groundwater data enable timely and high-resolution insights into water table fluctuations, recharge-discharge dynamics, and aquifer health. Researchers can utilize this dataset to detect early signs of groundwater stress, evaluate the effectiveness of water conservation policies, or model hydrological patterns over time. For policymakers, the dataset supports real-time decision-making, especially in areas experiencing groundwater depletion or agricultural water demand.
IDP Ready No
LGD Mapping
Mapping Status %
Geo Columns