Meteorological drought prediction using heuristic approaches based on effective drought index: a case study in Uttarakhand
By Anurag Malik, Anil Kumar. Arabian Journal of Geosciences, 2020
50 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/d8bf7ae632c750d496efdc453a84295e450f7ee2
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
- Anurag Malik
- Ozgur Kisi
- Quoc Bao Pham
- D. Souag-Gamane
- Y. Tikhamarine
- Jan Adamowski
- Kwok-Wing Chau
- Masoud Karbasi
In Global and Planetary Change
- Ozgur Kisi
- Anurag Malik
- D. Souag-Gamane
- Y. Tikhamarine
- Quoc Bao Pham
- Masoud Karbasi
- Hossein Bonakdari
- Babak Mohammadi
Citations in the corpus
- Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction (2020, background): “The statistical performance indicators are root mean square error (RMSE), scatter index (SI), coefficient of correlation (COC), and Willmott index (WI) (Willmott 1981; Malik and Kumar 2015, 2020; Tao et al. 2018; Malik et al. 2019a, c, 2020b; Tikhamarine et al. 2019a).”