| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A design of experiment aided stochastic parameterization method for modeling aquifer NAPL contamination
|
Li, Zelin
|
|
2018
|
101 |
C |
p. 183-193
|
article
|
| 2 |
A framework for uncertainty and risk analysis in Total Maximum Daily Load applications
|
Camacho, Rene A.
|
|
2018
|
101 |
C |
p. 218-235
|
article
|
| 3 |
A GPGPU-accelerated implementation of groundwater flow model in unconfined aquifers for heterogeneous and anisotropic media
|
Carlotto, T.
|
|
2018
|
101 |
C |
p. 64-72
|
article
|
| 4 |
An integrated optimisation platform for sustainable resource and infrastructure planning
|
Triantafyllidis, Charalampos P.
|
|
2018
|
101 |
C |
p. 146-168
|
article
|
| 5 |
A novel search algorithm for quantifying news media coverage as a measure of environmental issue salience
|
Roby, Nicholas A.
|
|
2018
|
101 |
C |
p. 249-255
|
article
|
| 6 |
Automated data scanning for dense networks of low-cost air quality instruments: Detection and differentiation of instrumental error and local to regional scale environmental abnormalities
|
Alavi-Shoshtari, Maryam
|
|
2018
|
101 |
C |
p. 34-50
|
article
|
| 7 |
Cost-efficient climate policies for interdependent carbon pools
|
Elofsson, Katarina
|
|
2018
|
101 |
C |
p. 86-101
|
article
|
| 8 |
Design and assessment of an efficient and equitable dynamic urban water tariff. Application to the city of Valencia, Spain
|
Lopez-Nicolas, A.
|
|
2018
|
101 |
C |
p. 137-145
|
article
|
| 9 |
Determinants of the price response to residential water tariffs: Meta-analysis and beyond
|
Marzano, Riccardo
|
|
2018
|
101 |
C |
p. 236-248
|
article
|
| 10 |
Editorial Board
|
|
|
2018
|
101 |
C |
p. ii
|
article
|
| 11 |
Flood hazard reduction from automatically applied landscaping measures in RiverScape, a Python package coupled to a two-dimensional flow model
|
Straatsma, Menno W.
|
|
2018
|
101 |
C |
p. 102-116
|
article
|
| 12 |
Implementation of cell-to-cell routing scheme in a large scale conceptual hydrological model
|
Paul, Pranesh Kumar
|
|
2018
|
101 |
C |
p. 23-33
|
article
|
| 13 |
Improving in-lake water quality modeling using variable chlorophyll a/algal biomass ratios
|
Sadeghian, Amir
|
|
2018
|
101 |
C |
p. 73-85
|
article
|
| 14 |
Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation
|
Meyer, Hanna
|
|
2018
|
101 |
C |
p. 1-9
|
article
|
| 15 |
Improving predictions of hydrological low-flow indices in ungaged basins using machine learning
|
Worland, Scott C.
|
|
2018
|
101 |
C |
p. 169-182
|
article
|
| 16 |
Municipal water planning and management with an end-use based simulation model
|
Wang, Kai
|
|
2018
|
101 |
C |
p. 204-217
|
article
|
| 17 |
Parallelization of a distributed ecohydrological model
|
Liu, Ning
|
|
2018
|
101 |
C |
p. 51-63
|
article
|
| 18 |
Performance of partitioned water distribution networks under spatial-temporal variability of water demand
|
Di Nardo, A.
|
|
2018
|
101 |
C |
p. 128-136
|
article
|
| 19 |
Re-engineering traditional urban water management practices with smart metering and informatics
|
Nguyen, Khoi A.
|
|
2018
|
101 |
C |
p. 256-267
|
article
|
| 20 |
The effects of small water surfaces on turbulent flow in the atmospheric boundary layer: URANS approach implemented in OpenFOAM
|
Abbasi, Ali
|
|
2018
|
101 |
C |
p. 268-288
|
article
|
| 21 |
Uncertainty analyses for Ecological Network Analysis enable stronger inferences
|
Hines, David E.
|
|
2018
|
101 |
C |
p. 117-127
|
article
|
| 22 |
Uncertainty analysis of a semi-distributed hydrologic model based on a Gaussian Process emulator
|
Yang, Jing
|
|
2018
|
101 |
C |
p. 289-300
|
article
|
| 23 |
Uncertainty-aware demand management of water distribution networks in deregulated energy markets
|
Sopasakis, P.
|
|
2018
|
101 |
C |
p. 10-22
|
article
|
| 24 |
What can we learn from multi-data calibration of a process-based ecohydrological model?
|
Kuppel, Sylvain
|
|
2018
|
101 |
C |
p. 301-316
|
article
|
| 25 |
Wildfire susceptibility mapping: Deterministic vs. stochastic approaches
|
Leuenberger, Michael
|
|
2018
|
101 |
C |
p. 194-203
|
article
|
Journal description