PubAg

Main content area

You searched for: Subject "hydrologic models" Remove constraint Subject: "hydrologic models" Journal Water resources management Remove constraint Journal: Water resources management Publication Year 2018 Remove constraint Publication Year: 2018 Subject uncertainty Remove constraint Subject: uncertainty
Start Over

Search

7  Search Results

1 - 7 of 7
Number of results to display per page

Search Results

1. The Quest for Hydrological Signatures: Effects of Data Transformation on Bayesian Inference of Watershed Models

Author:
Sadegh, Mojtaba; Shakeri Majd, Morteza; Hernandez, Jairo; Haghighi, AliTorabi
Source:
Water resources management 2018 v.32 no.5 pp. 1867-1881
ISSN:
0920-4741
Subject:
hydrologic models,   etc   ; Bayesian theory; historical records; model validation; uncertainty; watersheds; wavelet;     Show all 7 Subjects
Abstract:
... Hydrological models contain parameters, values of which cannot be directly measured in the field, and hence need to be meaningfully inferred through calibration against historical records. Although much progress has been made in the model inference literature, relatively little is known about the effects of transforming calibration data (or error residual) on the identifiability of model parameter ...
DOI:
10.1007/s11269-018-1908-6

2. Transferability of Conceptual Hydrological Models Across Temporal Resolutions: Approach and Application

Author:
Jie, Meng-Xuan; Chen, Hua; Xu, Chong-Yu; Zeng, Qiang; Chen, Jie; Kim, Jong-Suk; Guo, Sheng-lian; Guo, Fu-Qiang
Source:
Water resources management 2018 v.32 no.4 pp. 1367-1381
ISSN:
0920-4741
Subject:
hydrologic models,   etc   ; Bayesian theory; algorithms; equations; model validation; prediction; runoff; simulation models; uncertainty;     Show all 9 Subjects
Abstract:
... The temporal resolution of observed data is a critical element in determining the parameters, prediction performance, and applicability of hydrological models. In this study, runoff simulations were performed at different temporal resolutions using the Xinanjiang model to evaluate the influence of temporal resolution on the model parameters and performance. Based on the sensitivity analysis of the ...
DOI:
10.1007/s11269-017-1874-4

3. An Empirical Model for River Ecological Management with Uncertainty Evaluation

Author:
Palomba, Francesca; Cesari, Giorgio; Pelillo, Remo; Petroselli, Andrea
Source:
Water resources management 2018 v.32 no.3 pp. 897-912
ISSN:
0920-4741
Subject:
hydrologic models,   etc   ; dissolved oxygen; empirical models; nutrients; professionals; river water; rivers; surface water; uncertainty; watersheds;     Show all 10 Subjects
Abstract:
... River Basin District Authorities make use of water quality models in order to assess the environmental status of water bodies. The current Italian procedure aiming to classify the ecological status of a watercourse employs the quality assessment of four biological elements with the support of some chemical and physical elements. Since many measures of the Directive 2000/60/CE affect the chemical a ...
DOI:
10.1007/s11269-017-1845-9

4. Impact of Changes in Groundwater Extractions and Climate Change on Groundwater-Dependent Ecosystems in a Complex Hydrogeological Setting

Author:
van Engelenburg, Jolijn; Hueting, Rosa; Rijpkema, Sjoerd; Teuling, AdriaanJ.; Uijlenhoet, Remko; Ludwig, Fulco
Source:
Water resources management 2018 v.32 no.1 pp. 259-272
ISSN:
0920-4741
Subject:
hydrologic models,   etc   ; aquifers; climate change; drinking water; ecosystems; groundwater; summer; uncertainty; water supply; water table; Netherlands;     Show all 11 Subjects
Abstract:
... Climate change and other future developments can influence the availability of groundwater resources for drinking water. The uncertainty of the projected impact is a challenge given the urgency to decide on adaptation measures to secure the drinking water supply. Improved understanding on how climate change affects the groundwater system is necessary to develop adaptation strategies. AZURE is used ...
DOI:
10.1007/s11269-017-1808-1

5. Decision Making Tool for Sustainable Water Sharing

Author:
Padikkal, Sudheer; Sumam, K. S.; Sajikumar, N.
Source:
Water resources management 2018 v.32 no.14 pp. 4707-4723
ISSN:
0920-4741
Subject:
hydrologic models,   etc   ; climate; decision making; decision support systems; issues and policy; prediction; rivers; runoff; subwatersheds; uncertainty; India;     Show all 11 Subjects
Abstract:
... This paper explores the possibility of using a calibrated rainfall-runoff model as a decision-making tool in sustainable water sharing. Designing institutional arrangements for runoff sharing process in the case of a sub-catchment spread across geopolitical boundary is challenging. For the water sharing arrangement to be sustainable, it must be founded on realistic runoff predictions. The climate ...
DOI:
10.1007/s11269-018-2079-1

6. Spatio-Temporal Variation of Water Availability in a River Basin under CORDEX Simulated Future Projections

Author:
Das, Jew; Umamahesh, N.V.
Source:
Water resources management 2018 v.32 no.4 pp. 1399-1419
ISSN:
0920-4741
Subject:
hydrologic models,   etc   ; basins; climate; climate change; data collection; drought; evapotranspiration; monsoon season; rain; runoff; spatial variation; stream flow; temporal variation; uncertainty; watersheds; India;     Show all 16 Subjects
Abstract:
... In the present study, spatio-temporal variability of hydrological components under climate change is analysed over Wainganga River basin, India. In order to address the climate change projection, hydrological modelling is carried out using a macro scale, semi-distributed three (3)-Layer Variable Infiltration Capacity (VIC-3 L) model. The high-resolution (0.5ᵒ × 0.5ᵒ) meteorological variables are d ...
DOI:
10.1007/s11269-017-1876-2

7. Influence of Rainfall, Model Parameters and Routing Methods on Stormwater Modelling

Author:
Gong, Yongwei; Li, Xiaoning; Zhai, Dandan; Yin, Dingkun; Song, Ruining; Li, Junqi; Fang, Xing; Yuan, Donghai
Source:
Water resources management 2018 v.32 no.2 pp. 735-750
ISSN:
0920-4741
Subject:
hydrologic models,   etc   ; Monte Carlo method; United States Environmental Protection Agency; decision making; drainage; hydrograph; prediction; rain; stormwater; stormwater management; uncertainty; watersheds; China;     Show all 13 Subjects
Abstract:
... Quantification of the uncertainty associated with stormwater models should be analyzed before using modelling results to make decisions on urban stormwater control and management programs. In this study, the InfoWorks Integrated Catchment Modelling (ICM) rainfall-runoff model was used to simulate hydrographs at the outfall of a catchment (drainage area 8.3 ha, with 95% pervious areas) in Shenzhen, ...
DOI:
10.1007/s11269-017-1836-x