A Hydrological system is a very complex process that plays a great role in controlling the water balance in the world. The hydrological cycle is a major part of the hydrological system and its components are precipitation, evaporation, snow melt, infiltration, run off, ground water movement etc. The hydrological modeling is a system concept comprising the effects of all the components involving in the hydrological cycle.
In this study, a comparison of hydrological models for inflow computation in the Modi river, a tributary of Kali Gandaki river, has been carried out by using HBV a lumped and LANDPINE a distributed model although, at first both models were developed for Scandinavian catchments. The HBV model is a conceptual precipitation run off model which is used to simulate the run off process in a catchment based on observed data of precipitation, air temperature and potential evapotranspiration. LANDPINE is a distributed hydrological rainfall runoff model to study the effects of land use changes in runoff from catchment. It operates in integration with a geological information system, usually used for preparation of input data and analysis and presentation of simulation results.
The hydro meteorological data from stations Lumle, Ghandruk and Baglung with daily discharge data at Nayapool, have been used for the study of the catchment. The two stations, Lumle and Ghandruk lie within the catchment in its southern part and the Baglung lies about 12 km outside in south west direction from the boarder of the catchment.
Available precipitation data from stations within the region are examined to determine the trend of precipitation with respect to elevation. The long term average annual precipitations for all the stations from DHM have been used. The precipitation records show that the precipitation gradient is not only dependent on the elevation and seems to be difficult to define only as a single function of the elevation. It is observed that the precipitation increases up to certain elevation and decreases thereafter.
Because of the complex nature of precipitation distributions and limited number of gauging stations, the areal precipitation distribution for this study in the case of HBV model is calculated by the combination of different weightage for different precipitation stations according to the best result obtained among them. [...]
Table of Contents
1 INTRODUCTION
1.1 BACKGROUND
1.2 MOTIVATION
1.3 OBJECTIVE OF THE STUDY
1.4 RESEARCH METHODOLOGY
1.5 THESIS ORGANIZATION
2 DESCRIPTION OF PROJECT AREA
2.1 LOCATION AND COVERAGE
2.2 TOPOGRAPHY
2.3 GEOLOGY, SOIL, VEGETATION AND LAND USE
2.4 HYDROMETEOROLOGY
2.4.1 General Climatic Condition of Nepal
2.4.2 Meteorological Networks in Nepal
2.4.3 Precipitation
2.4.4 Temperature
2.4.5 Evaporation
3 LITERATURE REVIEW ON HYDROLOGICAL MODELLING
3.1 HYDROLOGICAL MODELS
3.2 THE MODELLING PROCESS
3.3 CLASSIFICATION OF HYDROLOGICAL MODELS
3.4 THE HBV MODEL
3.4.1 Background and Introduction
3.4.2 Properties and Applications of HBV model
3.4.3 HBV Model Structure
3.4.4 Catchment Description
3.4.5 The Snow Routine
3.4.6 The Soil Moisture Routine
3.4.7 The Runoff Response Routine
3.5 LANDPINE
3.5.1 Introduction
3.5.2 Model Description
3.5.3 Meteorological Input
3.5.4 High Vegetation
3.5.5 Interception Capacity
3.5.6 Potential Evaporation
3.5.7 Actual Interception and Evaporation
3.5.8 Snow
3.5.9 Low Vegetation and Land Surface
3.5.10 Lake
3.5.11 Root Zone/ Soil Moisture Zone
3.5.12 Surface Flow and Ground Water
4 DATA COLLECTION AND PROCESSING
4.1 GENERAL
4.2 CATCHMENT CHARACTERISTICS
4.2.1 CLIMATIC AND HYDROLOGICAL DATA
4.3 PRINCIPLES OF DATA ANALYSIS
4.3.1 Corrections to Point Measurements
4.3.2 Estimation of Missing Data
4.3.3 Checking the Consistency of Point Measurements
4.4 QUALITY CHECK OF AVAILABLE DATA FOR THE STUDY
4.4.1 Precipitation
4.4.2 Temperature
4.4.3 River Flow
4.4.4 Evaporation
5 METEOROLOGICAL PARAMETERS
5.1 PRECIPITATION GRADIENT ANALYSIS OVER MODI CATCHMENT
5.2 TEMPERATURE GRADIENT
5.3 AREAL PRECIPITATION DISTRIBUTION
6 HBV MODEL CALIBRATION AND VALIDATION
6.1 INPUT DATA PREPARATION
6.1.1 Confine Parameters
6.1.2 Air Temperature and Lapse Rate
6.1.3 Precipitation and Lapse Rate
6.1.4 Potential Evapotranspiration
6.1.5 Runoff
6.2 CALIBRATION OF THE HBV MODEL
6.3 MODEL VERIFICATION/ SPLIT SAMPLE TEST
6.4 RESULTS AND DISCUSSION
7 CALIBRATION AND VALIDATION OF LANDPINE MODEL
7.1 INPUT DATA PREPARATION
7.1.1 Digital Elevation Model (DEM) and Land Use Data Sets
7.1.2 Vegetation Type
7.1.3 Vegetation Cover and Height
7.1.4 Leaf Area Indices
7.1.5 Infiltration Capacity
7.1.6 Field Capacity
7.1.7 Surface Storage
7.1.8 Initial Soil Saturation
7.1.9 Snow Parameters
7.2 CALIBRATION OF LAND PINE MODEL
7.2.1 Model Calibration
7.2.2 The Calibration Process
7.2.3 Hydro-Metrological Input Data Processing
7.2.4 Simulation With Different Parameters
7.3 MODEL VERIFICATION
7.4 DISCUSSION AND EVALUATION OF RESULTS
8 COMPARISON OF COMPUTED RESULTS FROM HBV AND LANDPINE MODEL APPROACHES
8.1 RUNOFF
8.2 AREAL PRECIPITATION DISTRIBUTION
8.3 AVERAGE TEMPERATURE OVER THE CATCHMENT
8.4 SNOW STORAGE
8.5 EVAPORATION
9 COMPARISON OF MODEL RESULTS BETWEEN MODI AND UPPER TRISHULI 3A CATCHMENT
10 CONCLUSION AND RECOMMENDATION
10.1 CONCLUSION
10.2 RECOMMENDATION FOR FURTHER STUDIES
Research Objective and Scope
This study aims to calibrate and compare two hydrological models, the HBV (lumped) and LANDPINE (distributed), for inflow computation in the Modi River basin in Nepal. The primary goal is to evaluate the applicability of these models—originally developed for Scandinavian catchments—in a tropical mountainous environment, providing a reliable tool for hydropower planning, operation, and hydrological analysis.
- Calibration of lumped (HBV) and distributed (LANDPINE) hydrological models for the Modi catchment.
- Evaluation of precipitation patterns and distribution relative to elevation gradients.
- Comparative analysis of simulation results regarding runoff, snow storage, and evapotranspiration.
- Assessment of model performance against observed flow data using split-sample testing.
- Validation of model transferability between different geographical catchments (Modi vs. Upper Trishuli 3A).
Excerpt from the Book
3.4.1 Background and Introduction
The HBV model was originally developed by SMHI in the early 70´s to assist hydropower operations. The aim was to create a conceptual hydrological model with reasonable demands on computer facilities and calibration data. The HBV approach has proven flexible and robust in solving water resource problems and applications now span a broad range. The HBV model is named after the abbreviation of Hydrologiska Byråns Vattenbalansavdelning (Hydrological Bureau Water balance section). This was the former section at SMHI, the Swedish Meteorological and Hydrological Institute, where the model was originally developed.
The HBV model is a conceptual precipitation run off model which is used to simulate the run off process in a catchment based on observed data for precipitation, air temperature and potential evapotranspiration. The HBV model is based on water balance equation which can be described as: P - E - Q = d/dt [SP + SM + UZ + LZ + lakes]
Summary of Chapters
1 INTRODUCTION: Presents the geographical and water resource context of Nepal and defines the objectives and methodology for comparing HBV and LANDPINE models.
2 DESCRIPTION OF PROJECT AREA: Provides details on the location, topography, geology, and hydrometeorological conditions of the Modi catchment.
3 LITERATURE REVIEW ON HYDROLOGICAL MODELLING: Reviews hydrological modeling concepts, classification systems, and the specific theoretical foundations of the HBV and LANDPINE models.
4 DATA COLLECTION AND PROCESSING: Covers the acquisition, quality check, and preprocessing of meteorological and stream flow data required for model simulation.
5 METEOROLOGICAL PARAMETERS: Analyzes precipitation and temperature gradients across the catchment to define input parameters for the models.
6 HBV MODEL CALIBRATION AND VALIDATION: Details the input preparation, calibration process, and performance verification of the HBV model using historical data.
7 CALIBRATION AND VALIDATION OF LANDPINE MODEL: Describes the setup, parameter optimization, and verification process specific to the distributed LANDPINE model.
8 COMPARISON OF COMPUTED RESULTS FROM HBV AND LANDPINE MODEL APPROACHES: Compares the outputs of both models regarding runoff, precipitation distribution, and snow storage.
9 COMPARISON OF MODEL RESULTS BETWEEN MODI AND UPPER TRISHULI 3A CATCHMENT: Extends the study by comparing performance results against another catchment (Upper Trishuli 3A).
10 CONCLUSION AND RECOMMENDATION: Summarizes key findings on model performance and suggests future improvements for hydrological analysis in the region.
Keywords
Hydrological Modeling, HBV Model, LANDPINE Model, Modi River, Nepal, Inflow Computation, Runoff Simulation, Precipitation Gradient, Snow Melt, Calibration, Validation, Hydropower Development, Catchment Analysis, Water Balance, Climate Change
Frequently Asked Questions
What is the core focus of this master thesis?
The thesis focuses on comparing two specific hydrological models, the HBV model and the LANDPINE model, to accurately compute water inflow for the Modi River in Nepal, particularly for hydropower development purposes.
What are the primary modeling approaches compared in this study?
The study compares a "lumped" approach (represented by the HBV model) with a "distributed" approach (represented by the LANDPINE model).
What is the main goal or research question?
The main objective is to calibrate both models in the Modi catchment and evaluate which approach better captures the hydrological characteristics of the region, despite the models having been originally developed for temperate Scandinavian conditions.
Which scientific methods are employed for validation?
The author uses both subjective methods, such as visual hydrograph inspection and water balance computation, and objective statistical methods, specifically Nash efficiency (R²) and accumulated water volume difference (AccDiff).
What does the main body of the work cover?
The main body covers data collection, preprocessing of meteorological and flow data, the calibration and validation processes for both models, and a comparative analysis of the resulting runoff, snow storage, and temperature distributions.
Which keywords best describe this research?
Key terms include Hydrological Modeling, HBV, LANDPINE, Modi River, runoff, precipitation, snow melt, model calibration, and hydropower potential.
Why are the models being tested in Nepal when they are from Scandinavia?
The study aims to determine the applicability of these robust conceptual models in tropical, high-altitude catchments like the Modi River to help address local data constraints and improve water resource management for hydropower.
What was the outcome regarding the models' ability to capture monsoon peaks?
The study found that while both models perform satisfactorily during normal flow conditions, they generally struggle to fully capture peak flows during the intense monsoon periods in the Modi catchment.
- Citation du texte
- Binod Bhandari (Auteur), 2009, Comparison of Hydrological Models (HBV and LANDPINE) for Inflow Computation in the Modi River, Nepal, Munich, GRIN Verlag, https://www.grin.com/document/377543
