Hamza, Valiya Mannathal; Eston, S M (1983): Component parts of the World Heat Flow Data Collection [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.809751
Always quote citation above when using data! You can download the citation in several formats below.
Published: 1983 (exact date unknown) • DOI registered: 2013-05-03
Related to:
Hamza, Valiya Mannathal; Eston, S M (1983): Assessment of geothermal resources of Brazil - 1981. Zbl. Geol. palaeont. Teil I, H 1/2, 128-155
Source:
International Heat Flow Commission, I H F C (2012): Global Heat Flow Database. The Global Heat Flow Database of the International Heat Flow Commission (IHFC), University of North Dakota, USA; (data copied, 2012-10), https://ihfc-iugg.org/products/global-heat-flow-database/data
Further details:
Jessop, Alan M; Hobart, Michael A; Sclater, John G (1976): The World Heat Flow Data Collection - 1975. Geological Survey of Canada, Earth Physics Branch, Geothermal Series, 5, 10 pp, hdl:10013/epic.40176.d002
Coverage:
Median Latitude: -21.404548 * Median Longitude: -49.502659 * South-bound Latitude: -27.950000 * West-bound Longitude: -52.866700 * North-bound Latitude: -9.783300 * East-bound Longitude: -36.133300
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Area/locality | Area | Hamza, Valiya Mannathal | |||
2 | Sample, optional label/labor no | Lab no | Hamza, Valiya Mannathal | |||
3 | LATITUDE | Latitude | Geocode | |||
4 | LONGITUDE | Longitude | Geocode | |||
5 | Depth, bottom/max | Depth bot | m | Hamza, Valiya Mannathal | ||
6 | Heat flow | HF | mW/m2 | Hamza, Valiya Mannathal | ||
7 | Number | No | Hamza, Valiya Mannathal | Number of individual sites | ||
8 | Method comment | Method comm | Hamza, Valiya Mannathal |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
198 data points
Data
1 Area | 2 Lab no | 3 Latitude | 4 Longitude | 5 Depth bot [m] | 6 HF [mW/m2] | 7 No | 8 Method comm |
---|---|---|---|---|---|---|---|
Brazil | Alagoas | -9.7833 | -36.1333 | 59 | 9 | BHT | |
Brazil | Amadeu Amarl | -22.3000 | -50.0000 | 1193 | 64 | BHT | |
Brazil | Amadeu Amarl | -22.3000 | -50.0000 | 2488 | 62 | BHT | |
Brazil | Amadeu Amarl | -22.3000 | -50.0000 | 2957 | 56 | BHT | |
Brazil | Bariri | -22.0667 | -48.7333 | 65 | 1 | ||
Brazil | Barretos | -20.5333 | -48.5667 | 49 | 1 | ||
Brazil | Batatais | -20.9000 | -47.5833 | 30 | 1 | ||
Brazil | Bauru | -22.3167 | -49.0667 | 104 | 1 | ||
Brazil | Cassia de Conqueiros | -21.2833 | -47.1667 | 43 | 1 | ||
Brazil | Catanduva | -21.1333 | -48.9667 | 58 | 1 | ||
Brazil | Dourados | -22.1167 | -48.1500 | 40 | 1 | ||
Brazil | Fernandopolis | -20.2833 | -50.2500 | 56 | 1 | ||
Brazil | Itapolis | -21.2667 | -48.8167 | 56 | 1 | ||
Brazil | Itapolis | -21.6000 | -48.8167 | 49 | 1 | ||
Brazil | Jau | -22.3000 | -48.5500 | 36 | 1 | ||
Brazil | Lins | -21.6667 | -49.7333 | 63 | 1 | ||
Brazil | Monte Alto | -21.2667 | -48.5000 | 64 | 1 | ||
Brazil | Novo Horizonte | -21.3167 | -49.2167 | 58 | 1 | ||
Brazil | Novo Horizonte | -21.4833 | -49.2167 | 43 | 1 | ||
Brazil | Olimpia | -20.7500 | -48.9167 | 46 | 1 | ||
Brazil | Paraguaco Paulista | -22.4167 | -50.5667 | 53 | 1 | ||
Brazil | Parana Rio Apore | -18.9000 | -52.4000 | 865 | 118 | BHT | |
Brazil | Parana Rio Apore | -18.9000 | -52.4000 | 2173 | 50 | BHT | |
Brazil | Parana Rio Apore | -18.9000 | -52.4000 | 3476 | 46 | BHT | |
Brazil | Paranapanema | -23.4000 | -48.8000 | 776 | 78 | BHT | |
Brazil | Paranapanema | -23.4000 | -48.8000 | 1679 | 64 | BHT | |
Brazil | Piratininga | -22.4000 | -49.2000 | 1494 | 71 | BHT | |
Brazil | Piratininga | -22.4000 | -49.2000 | 2104 | 64 | BHT | |
Brazil | Presidente Prudente | -22.1333 | -51.4000 | 147 | 1 | ||
Brazil | Presidente Prudente | -22.1333 | -51.4000 | 68 | 1 | ||
Brazil | Ronda Alta | -27.9500 | -52.8667 | 1504 | 56 | BHT | |
Brazil | Ronda Alta | -27.9500 | -52.8667 | 3418 | 45 | BHT | |
Brazil | Sao Jose do Rio Preto | -20.8167 | -49.3833 | 57 | 1 | ||
Brazil | Sergipe | -10.7500 | -37.1667 | 59 | 11 | ||
Brazil | Taciba | -22.4000 | -51.4000 | 1519 | 63 | BHT | |
Brazil | Taciba | -22.4000 | -51.4000 | 2998 | 57 | BHT | |
Brazil | Taciba | -22.4000 | -51.4000 | 1869 | 54 | BHT | |
Brazil | Taciba | -22.4000 | -51.4000 | 3514 | 52 | BHT | |
Brazil | Taciba | -22.4000 | -51.4000 | 4783 | 51 | BHT | |
Brazil | Taciba | -22.4000 | -51.4000 | 4600 | 49 | BHT | |
Brazil | Taciba | -22.4000 | -51.4000 | 4696 | 48 | BHT | |
Brazil | Taciba | -22.4000 | -51.4000 | 4951 | 44 | BHT | |
Brazil | Tres Lagoas | -20.7667 | -51.7167 | 56 | 1 | ||
Brazil | Votuporanga | -20.4167 | -49.9667 | 51 | 1 | BHT |