| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A fuzzy-based approach for clustering the meteorological drought over Iran
|
Khaghani, Zahra
|
|
|
39 |
2 |
p. 697-723
|
artikel
|
| 2 |
Assessing the stage-period-discharge framework for modeling highly unstable rating curves: a case study at the UHE Peti Carrapato streamflow Gauging Station, Brazil
|
Eleutério, Iago
|
|
|
39 |
2 |
p. 829-845
|
artikel
|
| 3 |
Assessment of AERMOD and ADMS for NOx dispersion modeling with a combination of line and point sources
|
Rezaali, Mostafa
|
|
|
39 |
2 |
p. 813-827
|
artikel
|
| 4 |
Assessment of groundwater contamination in Aurangabad, Bihar using WQI and geostatistical modeling
|
Prasun, Arun
|
|
|
39 |
2 |
p. 789-811
|
artikel
|
| 5 |
Changes in daily precipitation extremes over the Fiji Islands (1905–2021)
|
Fernández-Duque, B.
|
|
|
39 |
2 |
p. 581-598
|
artikel
|
| 6 |
Changing rainfall patterns: a perspective of inter-event time between rainfall events and annual numbers of rainfall events
|
Jiang, Albert
|
|
|
39 |
2 |
p. 445-464
|
artikel
|
| 7 |
Empirical mode decomposition for improved radar wind estimation during rainy conditions
|
Johny, Kavya
|
|
|
39 |
2 |
p. 531-545
|
artikel
|
| 8 |
EpiForecaster: a novel deep learning ensemble optimization approach to combining forecasts for emerging epidemic outbreaks
|
Soto-Ferrari, Milton
|
|
|
39 |
2 |
p. 675-695
|
artikel
|
| 9 |
Landslide susceptibility assessment based on remote sensing interpretation and DBN-MLP model: a case study of Yiyuan County, China
|
Li, Shufeng
|
|
|
39 |
2 |
p. 493-508
|
artikel
|
| 10 |
Landslide susceptibility assessment for the Darjeeling Toy Train route: a GIS and machine learning approach
|
Sarkar, Prasanya
|
|
|
39 |
2 |
p. 613-637
|
artikel
|
| 11 |
Nature-based metaheuristic optimisation techniques for band selection in drone-based hyperspectral images for plant-level crop classification
|
Sarma, Anagha S.
|
|
|
39 |
2 |
p. 599-611
|
artikel
|
| 12 |
New general classes of non-absolutely continuous bivariate distributions
|
Yoo, Na Young
|
|
|
39 |
2 |
p. 465-477
|
artikel
|
| 13 |
Oxygen-18 prediction using machine learning in the Baltic Artesian Basin groundwater
|
Samalavičius, Vytautas
|
|
|
39 |
2 |
p. 765-787
|
artikel
|
| 14 |
Predicting saturated hydraulic conductivity from particle size distributions using machine learning
|
de Rijk, Valerie
|
|
|
39 |
2 |
p. 423-435
|
artikel
|
| 15 |
Prediction of non-stationary daily streamflow series based on ensemble learning: a case study of the Wei River Basin, China
|
Ma, Wei
|
|
|
39 |
2 |
p. 509-529
|
artikel
|
| 16 |
Regionalization of the extremal dependence structure using spectral clustering
|
Maume-Deschamps, Véronique
|
|
|
39 |
2 |
p. 725-745
|
artikel
|
| 17 |
Spatial predictive analysis of drought duration in relation to climate change using interpolation techniques
|
Ahmad, Sufian
|
|
|
39 |
2 |
p. 639-656
|
artikel
|
| 18 |
Spatiotemporal evolution in water use structures of large-sized irrigation district, China
|
Fan, Yunfei
|
|
|
39 |
2 |
p. 479-491
|
artikel
|
| 19 |
Stochastic risk estimation due to non-stationary hazards using compound-NHPP
|
Bhadra, Rituraj
|
|
|
39 |
2 |
p. 437-443
|
artikel
|
| 20 |
Unveiling bioearth: statistical assessment of chemical properties, nutrients and heavy metals contamination from legacy dumpsites, Tamil Nadu, India
|
Kuppusamy, Saranya
|
|
|
39 |
2 |
p. 657-673
|
artikel
|
| 21 |
Using Sobol’ sensitivity analysis to identify important model layers of a prediction model for simulating soil nitrogen transport in surface runoff and subsurface water
|
Zhang, Shiwei
|
|
|
39 |
2 |
p. 747-763
|
artikel
|
| 22 |
Wind speed forecasting using univariate and multivariate time series models
|
Taoussi, Brahim
|
|
|
39 |
2 |
p. 547-579
|
artikel
|
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