scholarly journals CATCHMENT STORAGE CAPACITY AND FINAL INFILTRATION CAPACITY ESTIMATED FROM LAND USE FOR DISTRIBUTED HYDROLOGICAL MODEL

2012 ◽  
Vol 68 (2) ◽  
pp. 103-108 ◽  
Author(s):  
Toru HIRAOKA ◽  
Hiromi YUKI ◽  
Minjiao LU
Keyword(s):  
Land Use ◽  
Hydrological Model ◽  
Storage Capacity ◽  
Distributed Hydrological Model ◽  
Infiltration Capacity

scholarly journals Comparative performance evaluation of self-adaptive differential evolution with GA, SCE and DE algorithms for the automatic calibration of a computationally intensive distributed hydrological model

2020 ◽  
Author(s):  
Saswata Nandi ◽  
M. Janga Reddy
Keyword(s):  
Differential Evolution ◽  
Hydrological Model ◽  
Automatic Calibration ◽  
Hydrological Models ◽  
Distributed Hydrological Model ◽  
Infiltration Capacity ◽  
Vic Model ◽  
Adaptive Differential Evolution ◽  
Computationally Intensive ◽  
Self Adaptive

Abstract Recently, physically-based hydrological models have been gaining much popularity in various activities of water resources planning and management, such as assessment of basin water availability, floods, droughts, and reservoir operation. Every hydrological model contains some parameters that must be tuned to the catchment being studied to obtain reliable estimates from the model. This study evaluated the performance of different evolutionary algorithms, namely genetic algorithm (GA), shuffled complex evolution (SCE), differential evolution (DE), and self-adaptive differential evolution (SaDE) algorithm for the parameter calibration of a computationally intensive distributed hydrological model, variable infiltration capacity (VIC) model. The methodology applied and tested for a case study of the upper Tungabhadra River basin in India, and the performance of the algorithms is evaluated in terms of reliability, variability, efficacy measures in a limited number of function evaluations, their ability for achieving global convergence, and also by their capability to produce a skillful simulation of streamflows. The results of the study indicated that SaDE facilitates an effective calibration of the VIC model with higher reliability and faster convergence to optimal solutions as compared to the other methods. Moreover, due to the simplicity of the SaDE, it provides easy implementation and flexibility for the automatic calibration of complex hydrological models.

scholarly journals Regional drought assessment using a distributed hydrological model coupled with Standardized Runoff Index

2015 ◽  
Vol 368 ◽  
pp. 397-402
Author(s):  
H. Shen ◽  
F. Yuan ◽  
L. Ren ◽  
M. Ma ◽  
H. Kong ◽  
...  
Keyword(s):  
Large Scale ◽  
Hydrological Model ◽  
Coupled Model ◽  
Temporal Variations ◽  
Distributed Hydrological Model ◽  
Drought Forecasting ◽  
Infiltration Capacity ◽  
Drought Assessment ◽  
Regional Drought ◽  
Standardized Runoff Index

Abstract. Drought assessment is essential for coping with frequent droughts nowadays. Owing to the large spatio-temporal variations in hydrometeorology in most regions in China, it is very necessary to use a physically-based hydrological model to produce rational spatial and temporal distributions of hydro-meteorological variables for drought assessment. In this study, the large-scale distributed hydrological model Variable Infiltration Capacity (VIC) was coupled with a modified standardized runoff index (SRI) for drought assessment in the Weihe River basin, northwest China. The result indicates that the coupled model is capable of reasonably reproducing the spatial distribution of drought occurrence. It reflected the spatial heterogeneity of regional drought and improved the physical mechanism of SRI. This model also has potential for drought forecasting, early warning and mitigation, given that accurate meteorological forcing data are available.

scholarly journals Quantifying the effect of land use and land cover change on green water and blue water in northern part of China

2008 ◽  
Vol 5 (4) ◽  
pp. 2425-2457 ◽  
Author(s):  
X. Liu ◽  
L. Ren ◽  
F. Yuan ◽  
V. P. Singh ◽  
X. Fang ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Hydrological Model ◽  
Soil Evaporation ◽  
Green Water ◽  
Blue Water ◽  
Distributed Hydrological Model ◽  
Runoff Generation ◽  
Land Cover Data ◽  
Saturation Excess

Abstract. In order to investigate the effect of land use and land cover changes on hydrological process in northern parts of China, a distributed hydrological model was developed and applied in the Laohahe catchment. The direct evaporation from the intercepted water, potential canopy transpiration and potential soil evaporation were computed using a physically-based two-source potential evapotranspiration model, which would be regarded as input to the distributed hydrological model for the computation of actual evaportranspiration. Runoff generation was based on mixed runoff mechanisms of infiltration excess runoff and saturation excess runoff and the Muskingum-Cunge method was adopted for flow routing. The land cover data were available for 1980, 1989, 1996 and 1999. Daily streamflow measurements were available from 1964 to 2005 and were divided into 4 periods: 1964–1979, 1980–1989, 1990–1999 and 2000–2005, based on the land cover scenarios. The distributed hydrological model was coupled with a two-source potential evaportranspiration model for simulating daily runoff. The result of runoff simulation showed that the saturation excess runoff generation was dominant in the catchment. Model parameters were calibrated using hydrometeorological and land cover data corresponding to the same period. Streamflow simulation was conducted for each period under these four land cover scenarios. The results showed that the change of land use and land cover had a significant influence on evapotranspiration and runoff. The land cover data showed that forest land and water body had decreased from 1980 through 1999 and farm land and grass land had increased. This change caused the vegetation interception evaporation and vegetation transpiration to decrease, whereas the soil evaporation tended to increase. Thus the green water decreased but the blue water increased over the Laohahe catchment. This result was inconsistent with the fact that runoff ratio had a tendency of decrease in the catchment in 2000. It is this reason that water use out of stream channel has been increasing in recent years.

scholarly journals The importance of ecosystem adaptation on hydrological model predictions in response to climate change

2021 ◽  
Author(s):  
Laurène J. E. Bouaziz ◽  
Emma E. Aalbers ◽  
Albrecht H. Weerts ◽  
Mark Hegnauer ◽  
Hendrik Buiteveld ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Global Warming ◽  
Hydrological Model ◽  
Storage Capacity ◽  
Root Zone ◽  
Stationary System ◽  
Model Parameters ◽  
Hydrological Response ◽  
Historical Land Use

Abstract. To predict future hydrological behavior in a changing world, often use is made of models calibrated on past observations, disregarding that hydrological systems, hence model parameters, will change as well. Yet, ecosystems likely adjust their root-zone storage capacity, which is the key parameter of any hydrological system, in response to climate change. In addition, other species might become dominant, both under natural and anthropogenic influence. In this study, we propose a top-down approach, which directly uses projected climate data to estimate how vegetation adapts its root-zone storage capacity at the catchment scale in response to changes in magnitude and seasonality of hydro-climatic variables. Additionally, the Budyko characteristics of different dominant ecosystems in sub-catchments are used to simulate the hydrological behavior of potential future land-use change, in a space-for-time exchange. We hypothesize that changes in the predicted hydrological response as a result of 2 K global warming are more pronounced when explicitly considering changes in the sub-surface system properties induced by vegetation adaptation to changing environmental conditions. We test our hypothesis in the Meuse basin in four scenarios designed to predict the hydrological response to 2 K global warming in comparison to current-day conditions using a process-based hydrological model with (a) a stationary system, i.e. no changes in the root-zone storage capacity of vegetation and historical land use, (b) an adapted root-zone storage capacity in response to a changing climate but with historical land use, and (c, d) an adapted root-zone storage capacity considering two hypothetical changes in land use from coniferous plantations/agriculture towards broadleaved forest and vice-versa. We found that the larger root-zone storage capacities (+34 %) in response to a more pronounced seasonality with drier summers under 2 K global warming strongly alter seasonal patterns of the hydrological response, with an overall increase in mean annual evaporation (+4 %), a decrease in recharge (−6 %) and a decrease in streamflow (−7 %), compared to predictions with a stationary system. By integrating a time-dynamic representation of changing vegetation properties in hydrological models, we make a potential step towards more reliable hydrological predictions under change.

Development of a distributed hydrological model based on urban databanks – production processes of URBS

2005 ◽  
Vol 52 (5) ◽  
pp. 241-248 ◽  
Author(s):  
F. Rodriguez ◽  
F. Morena ◽  
H. Andrieu
Keyword(s):  
Land Use ◽  
Transfer Function ◽  
Hydrological Model ◽  
Urban Runoff ◽  
Distributed Hydrological Model ◽  
Production Processes ◽  
Urban Modelling ◽  
Direct Infiltration ◽  
Urban Catchments ◽  
Hydrological Variables

The objective of this study is to present a distributed hydrological model especially dedicated to urban catchments, and able to represent hydrological processes usually neglected in urban modelling, such as evapotranspiration, infiltration in roads, or direct infiltration of soil water in sewers. This model, called URBS (as Urban Runoff Branching Structure) is distributed considering the spatial variability of land use which is well known thanks to urban databanks managed by GIS. The production function is detailed at each cadastral parcel scale, and the runoff produced is routed by a simple transfer function. The estimation of the input parameters of the model is mostly based on physical considerations, and the model is applied on a suburban catchment in Nantes (France) in order to evaluate the interest of the distribution of the hydrological variables.

The limitations of assessing impacts of land use changes on runoff with a distributed hydrological model: case study of the Hron River

Biologia ◽  
2009 ◽  
Vol 64 (3) ◽  
Author(s):  
Kamila Hlavčová ◽  
Ján Szolgay ◽  
Silvia Kohnová ◽  
Oliver Horvát
Keyword(s):  
Land Use ◽  
Hydrological Model ◽  
Land Use Changes ◽  
Annual Runoff ◽  
Distributed Hydrological Model ◽  
Climate Data ◽  
Model Case ◽  
Distributed Models ◽  
Physically Based ◽  
Runoff Regime

AbstractA distributed hydrological model was applied for estimating changes in a runoff regime due to land use changes. The upper Hron river basin, which has an area of 1766 km2 and is located in central Slovakia, was selected as the pilot basin. A physically-based rainfall-runoff model with distributed parameters was used for modelling runoff from rainfall and melting snow. The parameters of the model were estimated using climate data from 1981–2000 and from three digital map layers: a land-use map, soil map and digital elevation model. Several scenarios of changes in land use were prepared, and the runoff under the new land use conditions was simulated. Long-term mean annual runoff components and the design maximal mean daily discharges with a return period from 5 to 100 years under the previous and changed land uses were estimated and compared. The simulated runoff changes were confronted with expert judgments and estimates from the literature. Limitations of the use of distributed models for estimating land use changes are discussed.

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