Academic literature on the topic 'Hydrologic modelling'

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Journal articles on the topic "Hydrologic modelling"

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Guilpart, Etienne, Vahid Espanmanesh, Amaury Tilmant, and François Anctil. "Combining split-sample testing and hidden Markov modelling to assess the robustness of hydrological models." Hydrology and Earth System Sciences 25, no. 8 (August 30, 2021): 4611–29. http://dx.doi.org/10.5194/hess-25-4611-2021.

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Abstract. The impacts of climate and land-use changes make the stationary assumption in hydrology obsolete. Moreover, there is still considerable uncertainty regarding the future evolution of the Earth’s climate and the extent of the alteration of flow regimes. Climate change impact assessment in the water sector typically involves a modelling chain in which a hydrological model is needed to generate hydrologic projections from climate forcings. Considering the inherent uncertainty of the future climate, it is crucial to assess the performance of the hydrologic model over a wide range of climates and their corresponding hydrologic conditions. In this paper, numerous, contrasted, climate sequences identified by a hidden Markov model (HMM) are used in a differential split-sample testing framework to assess the robustness of a hydrologic model. The differential split-sample test based on a HMM classification is implemented on the time series of monthly river discharges in the upper Senegal River basin in West Africa, a region characterized by the presence of low-frequency climate signals. A comparison with the results obtained using classical rupture tests shows that the diversity of hydrologic sequences identified using the HMM can help with assessing the robustness of the hydrologic model.
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Cisty, Milan, and Lubomir Celar. "Using R in Water Resources Education." International Journal for Innovation Education and Research 3, no. 10 (October 31, 2015): 97–116. http://dx.doi.org/10.31686/ijier.vol3.iss10.451.

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This review paper will deal with the possibilities of applying the R programming language in water resources and hydrologic applications in education and research. The objective of this paper is to present some features and packages that make R a powerful environment for analysing data from the hydrology and water resources management fields, hydrological modelling, the post processing of the results of such modelling, and other task. R is maintained by statistical programmers with the support of an increasing community of users from many different backgrounds, including hydrologists, which allows access to both well established and experimental techniques in various areas.
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Stella, Juan M., and Glenn S. Warner. "Modelling a hydrologic Black-Box." Tecnología y ciencias del agua 09, no. 1 (2018): 101–12. http://dx.doi.org/10.24850/j-tyca-2018-01-07.

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Tiwari, K. N., P. Kumar, M. Sebastian, and D. K. Pal. "Hydrologic modelling for runoff determination." International Journal of Water Resources Development 7, no. 3 (September 1991): 178–84. http://dx.doi.org/10.1080/07900629108722510.

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Noor, Hamzeh, Mahdi Vafakhah, Masoud Taheriyoun, and Mahnoosh Moghadasi. "Hydrology modelling in Taleghan mountainous watershed using SWAT." Journal of Water and Land Development 20, no. 1 (March 1, 2014): 11–18. http://dx.doi.org/10.2478/jwld-2014-0003.

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Abstract Mountainous regions in Iran are important sources of surface water supply and groundwater recharge. Therefore, accurate simulation of hydrologic processes in mountains at large scales is important for water resource management and for watershed management planning. Snow hydrology is the more important hydrologic process in mountainous watersheds. Therefore, streamflow simulation in mountainous watersheds is often challenging because of irregular topography and complex hydrological processes. In this study, the Soil and Water Assessment Tool (SWAT) was used to model daily runoff in the Taleghan mountainous watershed (800.5 km2) in west of Tehran, Iran. Most of the precipitation in the study area takes place as snow, therefore, modeling daily streamflow in this river is very complex and with large uncertainty. Model calibration was performed with Particle Swarm Optimization. The main input data for simulation of SWAT including Digital Elevation Model (DEM), land use, soil type and soil properties, and hydro-climatological data, were appropriately collected. Model performance was evaluated both visually and statistically where a good relation between observed and simulated discharge was found. The results showed that the coefficient of determination R2 and the Nash- Sutcliffe coefficient NS values were 0.80 and 0.78, respectively. The calibrated model was most sensitive to snowmelt parameters and CN2 (Curve Number). Results indicated that SWAT can provide reasonable predictions daily streamflow from Taleghan watersheds.
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Cranmer, A. J., N. Kouwen, and S. F. Mousavi. "Proving WATFLOOD: modelling the nonlinearities of hydrologic response to storm intensities." Canadian Journal of Civil Engineering 28, no. 5 (October 1, 2001): 837–55. http://dx.doi.org/10.1139/l01-049.

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This paper examines the effects of modelling the nonlinearities of hydrologic response to various storm intensities. Radar rainfall data, remotely sensed land use and land cover data, measured streamflows, and meteorological data were incorporated into the distributed flood forecasting model WATFLOOD to synthesize runoff hydrographs for three significant warm weather rainfall events occurring in 1995. The watershed selected for study was the 288 km2 Duffins Creek drainage basin in southern Ontario. The effects of scaling radar rainfall amounts to match regional storm intensities on the synthesized streamflow hydrographs were examined. Computations and analysis were performed in agreement with widely accepted hydrologic principles and assumptions. The observed and synthesized hydrographs were compared using the unit hydrograph method. The observed and composite unit hydrographs matched extremely well in terms of shape, timing, and peak flow magnitude. These results indicated that WATFLOOD is capable of accurately modelling the nonlinear rainfall–runoff processes for increasing rainfall intensities with respect to peak flow, basin lag, and time to peak flow. However, the arbitrariness of assessing the effective rainfall and base-flow separation for the unit hydrograph method can lead to uncertainties in computing peak flow magnitudes. The grid element size and number and the drainage areas above streamflow gauges are of critical importance to the accuracy of the model.Key words: hydrology, watershed model, flood forecasting, hydrological modelling, model validation, unit hydrograph, nonlinear response.
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Haberlandt, U. "From hydrological modelling to decision support." Advances in Geosciences 27 (August 23, 2010): 11–19. http://dx.doi.org/10.5194/adgeo-27-11-2010.

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Abstract. Decision support for planning and management of water resources needs to consider many target criteria simultaneously like water availability, water quality, flood protection, agriculture, ecology, etc. Hydrologic models provide information about the water balance components and are fundamental for the simulation of ecological processes. Objective of this contribution is to discuss the suitability of classical hydrologic models on one hand and of complex eco-hydrologic models on the other hand to be used as part of decision support systems. The discussion is based on results from two model comparison studies. It becomes clear that none of the hydrologic models tested fulfils all requirements in an optimal sense. Regarding the simulation of water quality parameters like nitrogen leaching a high uncertainty needs to be considered. Recommended for decision support is a hybrid metamodel approach, which comprises a hydrologic model, empirical relationships for the less dynamic processes and makes use of simulation results from complex eco-hydrologic models through second-order modelling at a generalized level.
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Banda, Vincent Dzulani, Rimuka Bloodless Dzwairo, Sudhir Kumar Singh, and Thokozani Kanyerere. "Hydrological Modelling and Climate Adaptation under Changing Climate: A Review with a Focus in Sub-Saharan Africa." Water 14, no. 24 (December 10, 2022): 4031. http://dx.doi.org/10.3390/w14244031.

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Empirical evidence continues to show that climate change remains a threat to the stability of the hydrologic system. As the climate system interacts with the hydrologic cycle, one significant repercussion of global warming includes changes in water availability at both regional and local scales. Climate change adaptation is intrinsically difficult to attain due to the dynamic earth system and lack of a comprehensive understanding of future climate and its associated uncertainties. Mostly in developing countries, climate adaptation is hampered by scarcity of good quality and adequate hydro-meteorological data. This article provides a synopsis of the modelling chain applied to investigate the response of the hydrologic system under changing climate, which includes choosing the appropriate global climate models, downscaling techniques, emission scenarios, and the approach to be used in hydrologic modelling. The conventional criteria for choosing a suitable hydrological model are discussed. The advancement of emission scenarios including the latest Shared Socioeconomic Pathways and their role in climate modelling, impact assessment, and adaptation, are also highlighted. This paper also discusses the uncertainties associated with modelling the hydrological impacts of climate change and the plausible approaches for reducing such uncertainties. Among the outcomes of this review include highlights of studies on the commonly used hydrological models for assessing the impact of climate change particularly in the sub-Saharan Africa region and some specific reviews in southern Africa. Further, the reviews show that as human systems keep on dominating within the earth system in several ways, effective modelling should involve coupling earth and human systems models as these may truly represent the bidirectional feedback experienced in the modern world. The paper concludes that adequate hydro-meteorological data is key to having a robust model and effective climate adaptation measures, hence in poorly gauged basins use of artificial neural networks and satellite datasets have shown to be successful tools, including for model calibration and validation.
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Gunathilake, Miyuru B., Chamaka Karunanayake, Anura S. Gunathilake, Niranga Marasingha, Jayanga T. Samarasinghe, Isuru M. Bandara, and Upaka Rathnayake. "Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka." Applied Computational Intelligence and Soft Computing 2021 (May 27, 2021): 1–9. http://dx.doi.org/10.1155/2021/6683389.

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Accurate streamflow estimations are essential for planning and decision-making of many development activities related to water resources. Hydrological modelling is a frequently adopted and a matured technique to simulate streamflow compared to the data driven models such as artificial neural networks (ANNs). In addition, usage of ANNs is minimum to simulate streamflow in the context of Sri Lanka. Therefore, this study presents an intercomparison between streamflow estimations from conventional hydrological modelling and ANN analysis for Seethawaka River Basin located in the upstream part of the Kelani River Basin, Sri Lanka. The hydrological model was developed using the Hydrologic Engineering Centre-Hydrologic Modelling System (HEC-HMS), while the data-driven ANN model was developed in MATLAB. The rainfall and streamflows’ data for 2003–2010 period have been used. The simulations by HEC-HMS were performed by four types of input rainfall data configurations, including observed rainfall data sets and three satellite-based precipitation products (SbPPs), namely, PERSIANN, PERSIANN-CCS, and PERSIANN-CDR. The ANN model was trained using three well-known training algorithms, namely, Levenberg–Marquadt (LM), Bayesian regularization (BR), and scaled conjugate gradient (SCG). Results revealed that the simulated hydrological model based on observed rainfall outperformed those of based on remotely sensed SbPPs. BR algorithm-based ANN algorithm was found to be superior among the data-driven models in the context of ANN model simulations. However, none of the above developed models were able to capture several peak discharges recorded in the Seethawaka River. The results of this study indicate that ANN models can be used to simulate streamflow to an acceptable level, despite presence of intensive spatial and temporal data sets, which are often required for hydrologic software. Hence, the results of the current study provide valuable feedback for water resources’ planners in the developing region which lack multiple data sets for hydrologic software.
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Cecílio, Roberto Avelino, Wesley Augusto Campanharo, Sidney Sara Zanetti, Amanda Tan Lehr, and Alessandra Cunha Lopes. "Hydrological modelling of tropical watersheds under low data availability." Research, Society and Development 9, no. 5 (March 30, 2020): e100953262. http://dx.doi.org/10.33448/rsd-v9i5.3262.

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Hydrologic simulation is an important tool for the planning and management of water resources. However, the lack of input data, particularly soil and climate data, frequently complicates the application of hydrological models in Brazilian Atlantic Rainforest basins. The purpose of this study was to analyse the application of the VIC model, under the condition of low data availability, to predict the daily streamflow of two basins (Jucu and Santa Maria da Vitória). The results showed satisfactory statistical indexes only for the Santa Maria da Vitória basin. Due to data limitations and the simplified forms used to estimate these missing data, the model proved promising for understanding the hydrologic regime of these basins.
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Dissertations / Theses on the topic "Hydrologic modelling"

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Romero, David R. "Hydrologic modelling on the Saint Esprit watershed." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ64442.pdf.

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Schell, George Stewart. "The application of radar measured rainfall to hydrologic modelling /." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59250.

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The capability of radar measured rainfall to enhance the simulation of storm hydrographs was assessed. Six rainfall events which occurred in 1986 and 1987 over an 8.13 km$ sp2$ agricultural watershed in south-western Quebec were used in model simulations. Radar measured rainfall rates were calibrated using measurements from a single tipping-bucket raingauge located at the study site.
A deterministic, event-based model, HYMO, was used to simulate streamflow using radar and gauge measured rainfall. The model utilized two rainfall abstraction techniques, i.e. the SCS Curve Number method and the Green-Ampt infiltration equation. Simulated streamflow hydrographs were compared with observed storm flows.
For short duration, high intensity, simple rainfall events, there were minor improvements in hydrograph simulations when calibrated radar measured rainfalls were input to the model, compared to tipping-bucket raingauge measurements. Complex, low intensity storms were poorly simulated by the model using either rainfall data source. Neither rainfall abstraction method proved consistently superior.
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Brown, Laura J. "Hydrologic modelling of the Mfuli watershed in Zululand, South Africa." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ55658.pdf.

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Westerberg, Ida. "Utveckling och tillämpning av en GIS-baserad hydrologisk modell." Thesis, Uppsala University, Department of Earth Sciences, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-88880.

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A distributed hydrological rainfall-runoff model has been developed using a GIS integrated with a dynamic programming module (PCRaster). The model has been developed within the framework of the EU-project TWINBAS at IVL Swedish Environmental Research Institute, and is intended for use in WATSHMAN – a tool for watershed management developed at IVL. The model simulates runoff from a catchment based on daily mean values of temperature and precipitation. The GIS input data consist of maps with soil type, land-use, lakes, rivers and a digital elevation model. The model is a hybrid between a conceptual and a physical model. The snow routine uses the degree-day method, the evapotranspiration routine uses the Blainey-Criddle equation, the infiltration routine is based on Green-Ampt, groundwater is modelled assuming a linear reservoir and the flow routing is done with the kinematic wave equation combined with Manning’s equation.

The GIS and the hydrologic model are embedded in one another, allowing calculation of each parameter in each grid cell. The output from the model consists of raster maps for each time step for a pre-defined parameter, or a time series for a parameter at a specified grid cell. The flow network is generated from the digital elevation model and determines the water flow on the grid scale. The smallest possible grid size is thus obtained from the resolution of the digital elevation model. In this implementation the grid size was 50 m x 50 m. The raster structure of the model allows for easy use of data from climate models or remotely sensed data.

The model was evaluated using the River Kölstaån catchment, a part (110 km2) of the Lake Mälaren catchment, which has its outflow in central Stockholm, Sweden. The integration of the GIS and the hydrologic model worked well, giving significant advantages with respect to taking lakes and land-use into account. The evaluation data consisted of observed run-off for the period 1981 to 1991. The result from the calibration period shows a great variation in Reff (Nash & Sutcliffe) between the years, the three best years having Reff-values of 0.70 – 0.80. The Reff-value for the entire calibration period was 0.55 and 0.48 for the validation period, where again there was great variation between different years. The volume error was 0.1 % for the calibration period and -21 % for the validation period. The evapotranspiration was overestimated during the validation period, which is probably a result of excess rain during the calibration period. The results are promising and the model has many advantages – especially the integrated GIS-system – compared to the present WATSHMAN model. It could be further developed by introducing a second groundwater storage and refining the evapotranspiration and infiltration routine. Given the promising results, the model should be evaluated in other larger and hillier areas and preferably against more distributed data.


En helt distribuerad GIS-baserad hydrologisk modell för modellering i avrinningsområden på lokal/regional skala har byggts upp i PCRaster. Arbetet utfördes på IVL Svenska Miljöinstitutet AB inom ramen för EU-projektet TWINBAS, som har som mål att identifiera kunskapsluckor inför implementeringen av EU:s ramdirektiv för vatten. Modellen är tänkt att användas i WATSHMAN (Watershed Management System), IVLs verktyg för vattenplanering i avrinningsområden där bland annat källfördelningsberäkningar och åtgärdsanalyser ingår. Den uppbyggda modellen är en hybrid mellan en fysikalisk och en konceptuell hydrologisk modell och predikterar vattenföring på pixelnivå i avrinningsområden. Simuleringen drivs av dygnsmedelvärden för temperatur och nederbörd och modellen tar hänsyn till markanvändning, jordart, topografi och sjöar. De modellekvationer som används är grad-dagsmetoden för snö, Blainey-Criddle för evapotranspiration, Green-Ampt för infiltration, linjärt magasin för grundvatten och Mannings ekvation för flödesrouting.

Det geografiska informationssystemet och den hydrologiska modellen är helt integrerade, vilket gör att alla parametervärden beräknas för varje enskild pixel. Som utdata ger modellen en rasterkarta för varje tidssteg för en i förväg bestämd parameter, eller tidsserier över parametervärden i definierade punkter. Vattnet transporteras i ett utifrån höjdmodellen genererat flödesnätverk och vattnets flödesväg bestäms därmed på pixelnivå. Minsta möjliga pixelstorlek bestäms således utifrån höjdmodellens upplösning, och var vid denna tillämpning 50 m gånger 50 m. Modellens uppbyggnad med raster gör det enkelt att använda data från klimatmodeller eller fjärranalys.

Avrinningsområdet för Kölstaån, ett biflöde till Köpingsån i Mälardalen, har använts för att utvärdera modellen. Integreringen av GIS och hydrologisk modell fungerade mycket väl och gav stora fördelar t ex vad gäller att ta hänsyn till sjöar och markanvändning. Modellen kalibrerades med data från åren 1981 till 1986 och det erhållna volymfelet var då 0,1 % och Reff-värdet (Nash & Sutcliffe) 0,55. Stora variationer erhölls dock mellan åren; för de tre bästa åren låg Reff-värdet mellan 0,70 och 0,80. Ett mycket kraftigt nederbördstillfälle samt regleringar i huvudfåran av vattendraget ligger troligtvis bakom de mindre väl beskrivna åren. Även under valideringsperioden (1987 till 1991) fungerade modellen väl, så när som på att avdunstningen överskattades på vårarna (antagligen beroende av det stora regnet under kalibreringen), och Reff-värde och volymfel hamnade på 0,48 respektive -21 %, även här med stora variationer mellan åren. Resultaten är lovande och modellen har många fördelar jämfört med den nuvarande WATSHMAN-modellen. Den skulle kunna förbättras ytterligare genom att dela upp grundvattnet i två magasin samt förfina evapotranspirations- och infiltrationsrutinerna. Den höjdmodellsbaserade modellen bör utvärderas även i andra mer kuperade områden samt mot mer distibuerade data.

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Said, Md Azlin b. Md. "Water resources modelling using remotely sensed data." Thesis, Cardiff University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340765.

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Wyss, Jonathan David. "Hydrologic modelling of New England River basins using radar rainfall data." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/27961.

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Tian, Ying. "Macro-scale flow modelling of the Mekong River with spatial variance." View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38027781.

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Tarawneh, E. "Robust hydrologic modelling for land and water management in data-scarce environments." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3012299/.

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This study proposes a pre-calibration approach using the Soil and Water Assessment Tool (SWAT) to quantitatively assess variability in model performance derived from input data sources in data-scarce dryland environment (the Wala catchment, Jordan 1743 km2). Eighteen scenarios combining different local and global land-use, soil and weather datasets (1979 - 2002) are constructed. Model outputs are statistically assessed against observed discharge and empirically-derived sediment load using r2, Nash-Sutcliffe efficiency (NSE), root mean square error standard deviation ratio (RSR) and percent bias (PBIAS). Global reanalysis weather data considerably improve model performance over discontinuous local datasets, while detailed local soil data perform significantly better than global maps. The approach presented aids selection of the most robust input datasets in regions where availability and quality of data are questionable. Attempting to rationalise modelling in data-poor regions, the catchment delineation produced by the SWAT model is used to design field sampling in October 2013 of channel bed sediments and reservoir sediment cores to investigate potential relationships via geochemical analysis and provide measured sediment information that may interpret model prediction. XRF and particle size analyses were performed on all samples and the data analysed in respect of geochemical signatures. No strong evidence of discrete event-driven deposition is detected, likely due to alternating high-flood and drought periods. Variations in pollutants geochemistry are consistent with land-use pattern with relatively higher levels of Pb, Co, Cu and Cr associated with urbanised regions. Although these concentrations are mostly below thresholds for health concern, higher water and sediment loadings from these regions, as estimated by the model, may increase them. Hence, future management of water quality must be considered. The optimised and calibrated SWAT model is used to assess hypothetical and object-based integrated catchment management interventions and their implications for the useable lifetime of the Wala Dam within the context of the UN-funded BRP Project. The modelled catchment response to different scenarios varies spatially based on type and extent of application. Changes in annual loadings delivered to the Wala reservoir are linked to a simple model of dam functional lifetime to support decision-making.
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Brasington, James. "Monitoring and modelling hydrologic response and sediment yield in heterogeneous highland catchments." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624641.

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Kern, Jennifer M. "Modelling hydrologic system change in a paraglacial catchment in the Northern Rocky Mountains." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103778.

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The Northern Rocky Mountains, home to the highest concentration of glaciers in the American West, are undergoing increased rates of climate warming, resulting in previously unseen ecological and hydrological outcomes. Globally, many glacier basins have experienced glacial recession to the threshold point of surpassing peak basin runoff, resulting in substantial decreases in local hydrological yield. Such findings call for models that do not alone examine glacial runoff but a complete examination of changes in the water budget. Alpine catchments are increasingly vulnerable to evapotranspirative losses due to climatic warming, and the rates of vegetation succession are often unable to keep up with the rate of warming. Basin scale analyses of glacial recession on streamflow are then confounded by ecohydrologic dynamics created by primary succession and the associated increase in evapotranspiration. In this study, I present a conceptual framework for modelling basin runoff in landscapes responding to paraglacial adjustment. The study goal was achieved by calibrating and running the Hydrologiska Byråns Vattenbalansavdelning (HBV) model in Swiftcurrent basin and investigating change across the basin water balance through baseflow analysis. The research findings indicate catchment scale changes in the timing and magnitude of the flow regime in the deglaciating Swiftcurrent basin, by employing HBV and empirical baseflow analysis. While most components of the water balance appear consistent across the study period, late summer baseflow values suggest the basin hydrology is undergoing changes, possibly a result of melt occurring earlier in the season. Ultimately, I advocate for an adaptable and accessible approach to understanding paraglacial basins by constructing an estimation of basin-scale water budgets.
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Large scale trends in climate change are impacting a variety of ecosystems, especially alpine environments. Glacial recession has been well documented and studied in mountain chains across the globe, including the Rocky Mountains. Recession of these massive bodies of ice, which can be viewed as reservoirs of water in droughts or low flow months, has severe implications for society, the economy, and sensitive mountain environments. Furthermore, the new terrain exposed from beneath the melting glacier is dynamic and will undergo many adjustments geomorphically, in soil development, and ecologically as plants move up the glacier foreland. Ecological systems experiencing warming, deglaciation, and vegetation succession are not well understood and are complex environments due to the multiple inputs, interactions, and feedbacks. As such, this research examines how hydrologic conditions across a forty year period are changing in response to the complex feedbacks between glaciers, newly exposed terrain, and associated runoff. Through modeling and analysis, this study offers a method for understanding the water balance of Swiftcurrent basin in Glacier National Park, which can be used in other catchments experiencing similar changes.
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Books on the topic "Hydrologic modelling"

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Timbadiya, P. V., P. L. Patel, Vijay P. Singh, and Priyank J. Sharma, eds. Hydrology and Hydrologic Modelling. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9147-9.

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D, Kalma Jetse, and Sivapalan Murugesu, eds. Scale issues in hydrological modelling. Chichester: Wiley, 1995.

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Rousseau, Alain, Stéphane Savary, Renaud Quilbé, and Sébastien Tremblay. Development of an integrated modelling framework for evaluating beneficial management practices: Hydrologic modelling in Bras d'Henri watershed, BH, Quebec, and development of the GIBSI Integrated, Economic-Hydrologic, Modelling System. Québec (QC): Centre Eau, terre et environnement, Institut national de la recherche scientifique, 2007.

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Ladislav, Kašpárek, ed. Water resources of the Intra-Sudeten Basin: Results of the Czech-Polish co-operation in monitoring and modelling (1975-2004). Prague: Ministry of the Environment of the Czech Republic, 2006.

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Soil hydrology, land use and agriculture: Measurement and modelling. Cambridge, MA: CABI, 2011.

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Boer, M. Assessment of dryland degradation: Linking theory and practice through site water balance modelling. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap/Faculteit Ruimtelijke Wetenschappen Universiteit Utrecht, 1999.

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Howard, Wheater, Sorooshian Soroosh, and Sharma K. D. 1950-, eds. Hydrological modelling in arid and semi-arid areas. Cambridge: Cambridge University Press, 2008.

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Howard, Wheater, Sorooshian Soroosh, and Sharma K. D. 1950-, eds. Hydrological modelling in arid and semi-arid areas. Cambridge: Cambridge University Press, 2008.

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Xu, Wei-Lin, Tian-Qi Ao, and Xin-Hua Zhang. Hydrological modelling and integrated water resources management in ungauged mountainous watersheds. Wallingford: IAHS, 2009.

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Workshop, on Hydrologic and Environmental Modelling in the Mekong Basin (2000 Phnom Penh Cambodia). Proceedings of the Workshop on Hydrologic and Environmental Modelling in the Mekong Basin. Phnom Penh, Cambodia: Technical Support Division, Mekong River Commission, 2000.

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Book chapters on the topic "Hydrologic modelling"

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Fuchs, L. "Hydrologic Modelling of Urban Catchments." In Hydroinformatics Tools for Planning, Design, Operation and Rehabilitation of Sewer Systems, 189–208. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1818-9_10.

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Howard, Charles D. D., and Brian Bradley. "Data Needs for Modelling Flood Frequency." In Precipitation Analysis for Hydrologic Modeling, 279–88. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/sp004p0279.

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Patra, Jagadish Prasad, Rakesh Kumar, and Pankaj Mani. "Hydrologic and Hydraulic Modelling of a Bridge." In Hydrological Modeling, 317–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81358-1_24.

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Machiwal, Deepesh, and Madan Kumar Jha. "Stochastic Modelling of Time Series." In Hydrologic Time Series Analysis: Theory and Practice, 85–95. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1861-6_5.

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Rudra, R. P., W. T. Dickinson, and R. K. Gupta. "Hydrologic Modelling Acknowledging Spatial Variations of Hydraulic Conductivity." In Water Science and Technology Library, 17–32. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-011-0391-6_2.

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Paul, An Rose, and Subrahmanya Kundapura. "Hydrologic Modelling of Flash Floods and Their Effects." In Lecture Notes in Civil Engineering, 679–93. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6828-2_51.

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de Roo, Ad, Victor Jetten, Cees Wesseling, and Coen Ritsema. "LISEM: A Physically-Based Hydrologic and Soil Erosion Catchment Model." In Modelling Soil Erosion by Water, 429–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_32.

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Mandal, Sujit, and Subrata Mondal. "Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Susceptibility." In Geoinformatics and Modelling of Landslide Susceptibility and Risk, 29–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10495-5_2.

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DeBarry, Paul A., Gerald W. Longenecker, and Ryan Burrows. "Implementation of GIS and Hydrologic/Hydraulic Modelling for Integrated Floodplain/Stormwater Management." In New Trends in Urban Drainage Modelling, 464–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_79.

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Tzoraki, O., V. Papadoulakis, A. Christodoulou, E. Vozinaki, N. Karalemas, C. Gamvroudis, and N. P. Nikolaidis. "Hydrologic modelling of a complex hydrogeologic basin: Evrotas River Basin." In Advances in the Research of Aquatic Environment, 179–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19902-8_20.

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Conference papers on the topic "Hydrologic modelling"

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"Hydrologic model parameter optimisation." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.c2.cohen.

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Hohaia, Nick, Elizabeth Fassman, William F. Hunt, and Kelly A. Collins. "Hydraulic and Hydrologic Modelling of Permeable Pavement." In World Environmental and Water Resources Congress 2011. Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41173(414)61.

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Murray, Titus, and William L. Power. "Conceptual Framework for Hydrologic Modelling of Faults." In PESA Symposium Qld 2022. PESA, 2022. http://dx.doi.org/10.36404/lmyz2214.

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Unconventional oil and gas developments may require considering the potential hydrological impacts of faults on near-surface groundwater assets. It is vital that faults are represented appropriately. There are several examples where faults have been invoked as part of “Straw Man” arguments to oppose development (Currell et. al. 2017 and Iverach et. al. 2020). The processes of dewatering and hydraulic fracture stimulation may generate preferential pathways for flow that impact aquifers and groundwater dependant ecosystems. As part of this, a clear framework for the assessment of the impact of faults has been provided in Murray and Power 2021. This study presents three distinct end-member geological scenarios and outlines methods for characterising faultrelated groundwater flow within a risk assessment context. 1) Regional aquitard isolates aquifer from development. Low risk of leakage across the aquitard because there are no faults, or the faults have displacements less than the thickness of the aquitard. 2) Region-wide aquitard is not present, the development and the groundwater assets are within the same groundwater system. CSG development may cause pressure to propagate parallel to the strike and dip of the fault in the fault damage zones. 3) Regional aquitard(s) are present, but larger displacement faults breach the aquitards, allowing for possible combinations of across-fault connections between the different aquifers, and between aquifers and the coal seams. In this scenario, potential flow pathways between the groundwater and the development need to be characterised using Allan Maps (fault plane profiles).
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Sidek, Lariyah, Ibrahim Al-Ani, Laith Jabbar, Hidayah Basri, and Nadhir Al-Ansari. "Rainfall-Runoff Modelling for Kenyir Watershed using HEC-HMS Hydrologic Model." In 4th International Conference on Architectural & Civil Engineering Sciences. Cihan University-Erbil, 2023. http://dx.doi.org/10.24086/icace2022/paper.888.

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Dam failure due to extreme runoff events can cause major impact to human lives and property. In order to protect the life and property downstream of Kenyir catchment in Malaysia, this research aimed to estimate Probable Maximum Flood (PMF) using the Hydrological Model HEC-HMS version 4.8 accompanied with the Geographic Information System (ArcGIS). The methods adopted herein includes the collection of historical meteorological data and process it using Hershfield’s statistics for generating the Probable Maximum Precipitation (PMP). Results indicate that there are very good and good matching for both of calibration and validation respectively between the predicted and observed values. whereby for calibration, NSE and PBIAS of 0.873 and -1.76% are obtained while NSE and PBIAS of 0.679 and -8.78% are obtained for validation. Moreover, the simulated reservoir pool elevations are closely correlated to the observed pool elevations during both storm events. Although slight differences are observed from the comparison, it can be concluded that the differences are considered acceptable as the general trend is similar for those simulations. Furthermore, the developed hydrologic model is reliable and applicable for the Kenyir Hydrological Watershed.
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Ramachandra, T. V., Nupur Nagar, S. Vinay, and Bharath H. Aithal. "Modelling hydrologic regime of Lakshmanatirtha watershed, Cauvery river." In 2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS). IEEE, 2014. http://dx.doi.org/10.1109/ghtc-sas.2014.6967560.

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"Building an agro-hydrologic model of Europe: model calibration issues." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.l2.abbaspour.

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"Does where you plant trees make a difference in hydrologic response?" In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.e12.cook.

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"Seasonal Streamflow Forecasting with a workflow-based dynamic hydrologic modelling approach." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.e12.laugesen.

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"Integrated modelling of forest growth and hydrologic processes for forest management." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.yang393.

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"Analysis of South Korean basin hydrologic cycle using structural equation model." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.song333.

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Reports on the topic "Hydrologic modelling"

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Frey, S., G. Stonebridge, S. Berg, D. Steinmoeller, D. Lapen, O. Khader, A. Erler, and E. Sudicky. Applications of a regional-scale integrated modelling platform towards watershed-level hydrologic insights. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/313583.

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Cole, C. R. Evaluation and status report on HYDROCOIN at midway (HYDROCOIN: An international project for studying groundwater hydrology modelling strategies). Office of Scientific and Technical Information (OSTI), December 1986. http://dx.doi.org/10.2172/6926527.

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331871.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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de Vries, Sander C. WFLOW_LINTUL: raster-based simulation of rice growth in the WFLOW/OpenStreams hydrological modelling platform : user manual and description of core model code. Wageningen: Wageningen Research (WR) business unit Agrosystems Research, 2018. http://dx.doi.org/10.18174/461276.

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Shrestha, A. B., A. K. Gosain, and S. Rao. Modelling Climate Change Impact on the Hydrology of the Eastern Himalayas; Climate Change Impact and Vulnerability in the Eastern Himalayas - Technical Report 4. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2010. http://dx.doi.org/10.53055/icimod.534.

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Shrestha, A. B., A. K. Gosain, and S. Rao. Modelling Climate Change Impact on the Hydrology of the Eastern Himalayas; Climate Change Impact and Vulnerability in the Eastern Himalayas - Technical Report 4. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2010. http://dx.doi.org/10.53055/icimod.534.

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Annual Mekong Hydrology, Flood and Drought Report 2018. Vientiane, Lao PDR: Mekong River Commission Secretariat, July 2020. http://dx.doi.org/10.52107/mrc.ajg3u4.

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The report will replaces the Annual Mekong Flood Report to provide an annual summary on different hydrological subjects, ranging from flood, hydrology, and drought recognition to monitoring and early warning, remote sensing, modelling, and water management.
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The Modelling the Flow of the Mekong. Vientiane, Lao PDR: Mekong River Commission Secretariat, November 2009. http://dx.doi.org/10.52107/mrc.ajhz5z.

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