Magnetic resonance sounding measurements as posterior information to condition hydrological model parameters: Application to a hard-rock headwater catchment

Objective To explore the correlations of radiomic features of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with microvessel density (MVD) in patients with hepatocellular carcinoma (HCC), based on single-input and dual-input two-compartment extended Tofts (SITET and DITET) models. Methods We compared the quantitative parameters of SITET and DITET models for DCE-MRI in 30 patients with HCC using paired sample t-tests. The correlations of SITET and DITET model parameters with CD31-MVD and CD34-MVD were analyzed using Pearson’s correlation analysis. A diagnostic model of CD34-MVD was established and the diagnostic abilities of models for MVD were analyzed using receiver operating characteristic curve (ROC) analysis. Results There were significant differences between the quantitative parameters in the two kinds of models. Compared with SITET, DITET parameters showed better correlations with CD31-MVD and CD34-MVD. The Ktrans and Ve radiomics features of the DITET model showed high efficiency for predicting the level of CD34-MVD according to ROC analysis, with areas under curves of 0.83 and 0.94, respectively. Conclusion Compared with SITET, the DITET model provides a better indication of the microcirculation of HCC and is thus more suitable for examining patients with HCC.

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Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France)

Hydrology and Earth System Sciences ◽

10.5194/hess-18-2393-2014 ◽

2014 ◽

Vol 18 (6) ◽

pp. 2393-2413 ◽

Cited By ~ 34

Author(s):

H. Sellami ◽

I. La Jeunesse ◽

S. Benabdallah ◽

N. Baghdadi ◽

M. Vanclooster

Keyword(s):

Model Prediction ◽

Hydrological Model ◽

Swat Model ◽

Behavioral Model ◽

Model Parameters ◽

Ungauged Catchments ◽

Southern France ◽

Model Parameter ◽

Ungauged Catchment ◽

Prediction Uncertainty

Abstract. In this study a method for propagating the hydrological model uncertainty in discharge predictions of ungauged Mediterranean catchments using a model parameter regionalization approach is presented. The method is developed and tested for the Thau catchment located in Southern France using the SWAT hydrological model. Regionalization of model parameters, based on physical similarity measured between gauged and ungauged catchment attributes, is a popular methodology for discharge prediction in ungauged basins, but it is often confronted with an arbitrary criterion for selecting the "behavioral" model parameter sets (Mps) at the gauged catchment. A more objective method is provided in this paper where the transferrable Mps are selected based on the similarity between the donor and the receptor catchments. In addition, the method allows propagating the modeling uncertainty while transferring the Mps to the ungauged catchments. Results indicate that physically similar catchments located within the same geographic and climatic region may exhibit similar hydrological behavior and can also be affected by similar model prediction uncertainty. Furthermore, the results suggest that model prediction uncertainty at the ungauged catchment increases as the dissimilarity between the donor and the receptor catchments increases. The methodology presented in this paper can be replicated and used in regionalization of any hydrological model parameters for estimating streamflow at ungauged catchment.

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Application of magnetic resonance sounding to tunnels for advanced detection of water-related disasters: A case study in the Dadushan Tunnel, Guizhou, China

Tunnelling and Underground Space Technology ◽

10.1016/j.tust.2018.11.032 ◽

2019 ◽

Vol 84 ◽

pp. 364-372 ◽

Cited By ~ 5

Author(s):

Shengwu Qin ◽

Zhongjun Ma ◽

Chuandong Jiang ◽

Jun Lin ◽

Mingzhou Bai ◽

...

Keyword(s):

Magnetic Resonance ◽

Magnetic Resonance Sounding

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Dynamic duty cycle control strategy for surface nuclear magnetic resonance sounding system

Review of Scientific Instruments ◽

10.1063/1.5078764 ◽

2019 ◽

Vol 90 (3) ◽

pp. 035109 ◽

Cited By ~ 2

Author(s):

Jinbao Zhu ◽

Yujing Yang ◽

Fei Teng ◽

Tingting Lin

Keyword(s):

Nuclear Magnetic Resonance ◽

Magnetic Resonance ◽

Duty Cycle ◽

Control Strategy ◽

Magnetic Resonance Sounding ◽

Nuclear Magnetic

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Diagnostic calibration of a hydrological model in an alpine area

Hydrology and Earth System Sciences Discussions ◽

10.5194/hessd-11-1253-2014 ◽

2014 ◽

Vol 11 (1) ◽

pp. 1253-1300 ◽

Cited By ~ 4

Author(s):

Z. He ◽

F. Tian ◽

H. C. Hu ◽

H. V. Gupta ◽

H. P. Hu

Keyword(s):

Hydrological Modeling ◽

Hydrological Model ◽

Generation Mechanism ◽

Spatiotemporal Variability ◽

Model Parameters ◽

Distributed Hydrological Model ◽

Runoff Generation ◽

Alpine Area ◽

Long Time ◽

Tailan River Basin

Abstract. Hydrological modeling depends on single- or multiple-objective strategies for parameter calibration using long time sequences of observed streamflow. Here, we demonstrate a diagnostic approach to the calibration of a hydrological model of an alpine area in which we partition the hydrograph based on the dominant runoff generation mechanism (groundwater baseflow, glacier melt, snowmelt, and direct runoff). The partitioning reflects the spatiotemporal variability in snowpack, glaciers, and temperature. Model parameters are grouped by runoff generation mechanism, and each group is calibrated separately via a stepwise approach. This strategy helps to reduce the problem of equifinality and, hence, model uncertainty. We demonstrate the method for the Tailan River basin (1324 km2) in the Tianshan Mountains of China with the help of a semi-distributed hydrological model (THREW).

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Estimation of the HEC-HMS model parameters in data-scarce regions. Application to the Ouergha watershed (Sebou, Morocco)

E3S Web of Conferences ◽

10.1051/e3sconf/202131405002 ◽

2021 ◽

Vol 314 ◽

pp. 05002

Author(s):

Hasna Moumni ◽

Karima Sebari ◽

Laila Stour ◽

Abdellatif Ahbari

Keyword(s):

Remote Sensing ◽

Hydrological Model ◽

Model Parameters ◽

Flow Data ◽

Random Parameters ◽

Quality Of Data ◽

Initial Values ◽

Digital Elevation ◽

Elevation Model

The availability, accessibility and quality of data are significant obstacles to hydrological modelling. Estimating the initial values of the hydrological model´’ ’s parameters is a laborious and determining task requiring much attention. Geographic information systems (GIS) and spatial remote sensing are prometting tools for processing and collecting data. In this work, we use an innovative approach to estimate the HEC-HMS hydrological model parameters from the soil map of Africa (250m), the land use map GLC30, the depth to bedrock map, the digital elevation model and observed flow data. The estimation approach is applied to the Ouergha basin (Sebou, Morocco). The proposed approach’s interest is to feed the HEC-HMS hydrological model with initial values of parameters close to the study area reality instead of using random parameters.

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