Treatment of precipitation uncertainty in rainfall-runoff modelling: a fuzzy set approach
By Shreedhar Maskey, V. Guinot, R. Price. 2004
139 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/3d821016daab9f28bd14d26a1e36640cbe0f1972
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Avi Ostfeld
- Usman T. Khan
- Dimitri P. Solomatine
- Caterina Valeo
- Kwok-Wing Chau
- C. Wu
- A. Rahimikhoob
- C. Fan
In Global and Planetary Change
- Avi Ostfeld
- Usman T. Khan
- Dimitri P. Solomatine
- Caterina Valeo
- A. Rahimikhoob
- Kwok-Wing Chau
- C. Wu
- A. Petersen‐Øverleir
In Water Science and Technology
- Avi Ostfeld
- Usman T. Khan
- Dimitri P. Solomatine
- Caterina Valeo
- Kwok-Wing Chau
- C. Wu
- A. Rahimikhoob
- C. Fan
Citations in the corpus
- Data-driven modelling: some past experiences and new approaches (2008, methodology): “2000b) and rainfall– runoff modelling (Maskey et al. 2004).”
- A new fuzzy linear regression approach for dissolved oxygen prediction (2015, methodology): “In a different type of application, Maskey et al. (2004) used fuzzy numbers to describe a rainfall–runoff process, where the temporal uncertainty in precipitation was represented by fuzzy numbers.”