Zobrazeno 1 - 10
of 238
pro vyhledávání: '"S. D. Guikema"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 20, Iss 7, Pp 2611-2628 (2016)
In the past decade, machine learning methods for empirical rainfall–runoff modeling have seen extensive development and been proposed as a useful complement to physical hydrologic models, particularly in basins where data to support process-based m
Externí odkaz:
https://doaj.org/article/69bb7169ac974de1878c39a2e8fe965d
Autor:
Blackett, Paula1, Le Heron, Erena2, Awatere, Shaun, Le Heron, Richard3, Logie, June, Hyslop, Jade4, Ellis, Joanne5, Stephenson, Fabrice6, Hewitt, Judi7
Publikováno v:
Policy Quarterly. Aug2024, Vol. 20 Issue 3, p62-68. 7p.
Publikováno v:
All Days.
One of the petroleum industry's goals is to reduce the environmental impact of oil and gas operations in environmentally sensitive areas. To achieve this, a number of Environmentally Friendly Drilling (EFD) technologies have been developed to varying
Conceptual Water Main Failure Risk: Self-Excitation, Pipe Age, and Statistical Modeling Performance.
Autor:
Hammond, Charles, Zhuang, Jiancang, LeBlanc, Casey, Rahimi-Ardabily, Sarah, Zhang, Tao, Good, Robert, Loge, Frank
Publikováno v:
Journal of Water Resources Planning & Management; Oct2024, Vol. 150 Issue 10, p1-11, 11p
Autor:
Du, Ao
Publikováno v:
ASCE-ASME Journal of Risk & Uncertainty in Engineering Systems, Part A: Civil Engineering; Sep2024, Vol. 10 Issue 3, p1-16, 16p
Publikováno v:
Journal of Management in Engineering; Sep2024, Vol. 40 Issue 5, p1-13, 13p
Publikováno v:
Journal of Infrastructure Systems; Dec2024, Vol. 30 Issue 4, p1-17, 17p
Publikováno v:
Journal of Water Resources Planning & Management; Aug2024, Vol. 150 Issue 8, p1-15, 15p
Publikováno v:
Journal of Water Resources Planning & Management; Jul2024, Vol. 150 Issue 7, p1-23, 23p
Autor:
Gerst, Michael D., Coelho, Maria, Yazdi-Samadi, Mohammad Reza, Reilly, Allison, Kenney, Melissa A.
Publikováno v:
Journal of Management in Engineering; Jul2024, Vol. 40 Issue 4, p1-18, 18p