Your search found 7 records
1 Muthuwatta, Lal P.; Booij, M. J.; Rientjes, T. H. M.; Bos, M. G.; Gieske, A. S. M.; Ahmad, Mobin-ud-Din. 2009. Calibration of a semi-distributed hydrological model using discharge and remote sensing data. In Yilmaz, K. K.; Yucel, I.; Gupta, H. V.; Wagener, T.; Yang, D.; Savenije, H.; Neale, C.; Kunstmann, H.; Pomeroy, J. (Eds.). New approaches to hydrological prediction in data-sparse regions: proceedings of Symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6–12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS). pp.52-58. (IAHS Publication 333)
Hydrology ; Models ; Calibration ; Stream flow ; Evapotranspiration ; Simulation ; Discharges ; Remote sensing ; Rivers ; Catchment areas ; Time series analysis / Iran / Karkheh River Basin / Hoor-Al-Azim swamp
(Location: IWMI HQ Call no: 551.48 G000 YIL Record No: H042296)
https://vlibrary.iwmi.org/pdf/H042296.pdf
(0.12 MB)
The objective of this study is to present an approach to calibrate a semi-distributed hydrological model using observed streamflow data and actual evapotranspiration time series estimates based on remote sensing data. First, daily actual evapotranspiration is estimated using available MODIS satellite data, routinely collected meteorological data and applying the SEBS algorithm. Second, the semi-distributed hydrological model HBV is calibrated and validated using the estimated evapotranspiration and observed discharge. This is done for multiple sub-basins of the Karkheh River basin in Iran. The Nash-Sutcliffe coefficient (NS) is calculated for each sub-basin. Maximum and minimum NS values for the calibration using observed discharge are 0.81 and 0.23, respectively, and using estimated evapotranspiration 0.61 and 0.46, respectively. The comparison of model simulations with multiple observed variables increases the probability of selecting a parameter set that represents the actual hydrological situation of the basin. The new calibration approach can be useful for further applications especially in data sparse river basins.
2 Rientjes, T. H. M.; Perera, J. B. U.; Haile, A. T.; Gieske, A. S. M.; Booij, M. J.; Reggiani, P. 2011. Hydrological balance of Lake Tana, Upper Blue Nile Basin, Ethiopia. In Melesse, A. M. (Ed.). Nile River Basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. pp.69-89.
Hydrology ; Water balance ; Lakes ; River basins ; Models ; Calibration ; Regression analysis ; Runoff / Ethiopia / Lake Tana / Upper Blue Nile River Basin
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044023)
3 Rientjes, T. H. M.; Muthuwatta, Lal P.; Bos, M. G.; Booij, M. J.; Bhatti, H. A. 2013. Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration. Journal of Hydrology, 505:276-290. [doi: https://doi.org/10.1016/j.jhydrol.2013.10.006]
Hydrology ; Models ; Calibration ; Stream flow ; Data ; Evapotranspiration ; River basins ; Water balance ; Catchment areas / Iran / Karkheh River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H046218)
https://vlibrary.iwmi.org/pdf/H046218.pdf
(1.69 MB)
In this study, streamflow (Qs) and satellite-based actual evapotranspiration (ETa) are used in a multi-variable calibration framework to reproduce the catchment water balance. The application is for the HBV rainfall–runoff model at daily time-step for the Karkheh River Basin (51,000 km2) in Iran. Monte Carlo Simulation serves to estimate parameter values and to assess uncertainty for three calibration cases. In case one streamflow is used as the calibration target. In case two satellite-based ETa is used as calibration target. For both cases model performance is evaluated for the second variable that closes the water balance. In case three a preference-based multi-variable objective function is applied which is weighted for Qs and satellite-based ETa. For cloudy days a procedure is developed to complete the daily time series of satellite-based ETa that cover 4 years. Results on multi-variable calibration indicated satisfying results for both water balance terms. Results are compared against field observations and results of single-variable calibration. For cases one and two the second variable only is poorly simulated and resulted in poor reproduction of the water balance. The most important contribution of this work is that the catchment water balance is best reproduced when both Qs and satellite-based ETa serve as calibration target.
4 Hogeboom, R. H. J.; van Oel, P. R.; Krol, M. S.; Booij, M. J.. 2015. Modelling the influence of groundwater abstractions on the water level of Lake Naivasha, Kenya under data-scarce conditions. Water Resources Management, 29(12):4447-4463. [doi: https://doi.org/10.1007/s11269-015-1069-9]
Groundwater extraction ; Water levels ; Mathematical models ; Groundwater flow ; Water balance ; Irrigation water ; Water use ; Lakes ; Hydrological data ; Calibration / Kenya / Rift Valley / Lake Naivasha / Flower Business Park
(Location: IWMI HQ Call no: e-copy only Record No: H047906)
http://link.springer.com/content/pdf/10.1007%2Fs11269-015-1069-9.pdf
https://vlibrary.iwmi.org/pdf/H047906.pdf
(4.38 MB) (4.38 MB)
This study presents the state-of-the-art understanding of the data-scarce and hydrogeologically complex groundwater system of Lake Naivasha, Kenya, with the particular aim of exploring the influence groundwater abstractions have on Lake Naivasha’s water level. We developed multiple alternative but plausible parameterizations for a MODFLOW groundwater model, based on literature, existing models and available data, while trying not to over-complicate the model. In doing so, we illustrate a possible strategy of going about data-scarce regions in modelling in general. Processes encountered in the calibrated parameterizations show groundwater flows laterally from the escarpments to the valley floor and axially from the lake along the Rift, with a larger portion flowing out southward than northward. Extraction of groundwater interrupts the flow from the northwestern highlands to the lake, leading to a lake stage reduction of 0.7–7.5 cm due to abstractions at our target farm (Flower Business Park) or an implied 7–75 cm due to total groundwater abstractions in the area. Although this study demonstrates our understanding of Naivasha’s groundwater system remains fragile and the current model cannot be embedded in operational water management yet, it (i) reflects the contemporary understanding of the local groundwater system, (ii) illustrates how to go about modelling in data-scarce environments and (iii) provides a means to assess focal areas for future data collection and model improvements.
5 Albers, L. T.; Schyns, J. F.; Booij, M. J.; Zhuo, L. 2021. Blue water footprint caps per sub-catchment to mitigate water scarcity in a large river basin: the case of the Yellow River in China. Journal of Hydrology, 603(Part C):126992. [doi: https://doi.org/10.1016/j.jhydrol.2021.126992]
Water scarcity ; Water footprint ; River basins ; Catchment areas ; Water allocation ; Water availability ; Sustainability ; Freshwater ; Water demand ; Environmental flows ; Reservoirs ; Runoff ; Population ; Models / China / Yellow River Basin / Longyangxia Reservoir / Liujiaxia Reservoir / Wanjiazhai Reservoir / Sanmenxia Reservoir / Xiaolangdi Reservoir
(Location: IWMI HQ Call no: e-copy only Record No: H050712)
https://www.sciencedirect.com/science/article/pii/S0022169421010428/pdfft?md5=b80528ede4756f1597b02681a95635a4&pid=1-s2.0-S0022169421010428-main.pdf
https://vlibrary.iwmi.org/pdf/H050712.pdf
(3.66 MB) (3.66 MB)
The amount of groundwater and surface water consumed in a river basin constitutes the blue water footprint (BWF). To safeguard the environment, it has been suggested to set a cap to the BWF based on blue water availability (BWA). BWA depends on the precipitation that becomes runoff and the need to reserve environmental flow requirements. Previous studies determined BWF caps based on the use-what-is-there principle, which assumes that all BWA in a sub-catchment may be consumed locally, without the need to reserve water for downstream. However, BWA in an upstream sub-catchment does not have to be consumed locally but could be consumed downstream instead, thereby mitigating blue water scarcity in downstream areas. Therefore, this study aims to investigate the effect of alternative allocation principles – that account for downstream demands – to set monthly BWF caps per sub-catchment on BWS levels across a large river basin. We take the Yellow River basin for the period 2010 to 2014 as a case study to evaluate four scenarios of BWF cap-setting. We compare the ‘natural’ and ‘reservoir’ scenario that both apply the use-what-is-there principle to determine the effects of reservoirs on BWF caps. We then apply two alternative allocation principles that take relative population size (‘population-based’ scenario) and historic blue water demand (‘demand-based’ scenario) as a basis to determine BWF caps per sub-catchment and compare the effects against the ‘reservoir’ scenario. Our results confirm previous findings on the effects of reservoirs on caps. We further find that blue water scarcity increases from upstream to downstream under the use-what-is-there principle. Both the population- and demand-based scenarios reduce upstream-downstream differences in the degree of blue water scarcity. The demand-based scenario is most effective in this respect. On the other hand, the population-based scenario leads to the smallest upstream-downstream differences in BWA per capita. The results feed into a discussion on alternative approaches to set BWF caps in a large river basin which needs to take place for BWF caps to become effective and practical concepts in policy making.
6 Rustanto, A.; Booij, M. J.. 2022. Evaluation of MODIS-Landsat and AVHRR-Landsat NDVI data fusion using a single pair base reference image: a case study in a tropical upstream catchment on Java, Indonesia. International Journal of Digital Earth, 15(1):164-197. [doi: https://doi.org/10.1080/17538947.2021.2018057]
Satellite imagery ; Moderate resolution imaging spectroradiometer ; Landsat ; Catchment areas ; Normalized difference vegetation index ; AVHRR ; Remote sensing ; Datasets ; Land use ; Land cover ; Models ; Case studies / Indonesia / Java / Bengawan Solo Catchment
(Location: IWMI HQ Call no: e-copy only Record No: H050917)
https://www.tandfonline.com/doi/pdf/10.1080/17538947.2021.2018057
https://vlibrary.iwmi.org/pdf/H050917.pdf
(8.62 MB) (8.62 MB)
Image blending is one of the alternative methods to fill temporal gaps in the monitoring of historical vegetation properties using continuous NDVI derived from Landsat 5 TM / 7 ETM+ and 8 OLI images. Frequent cloud occurrence in the tropical upstream catchment limits the use of image blending methods that allow to employment of a single pair base reference. This study aims to evaluate two image blending methods with nine input data configurations to select the most applicable one. Scatter plots and statistical indices such as ME, RMSE, model efficiency and structure similarity showed FSDAF outperforms STARFM in generating both synthetic Landsat 8 OLI NDVI and Landsat 5 TM / 7 ETM+ NDVI when employing unsupervised and supervised classification images, respectively, where both were applied along with MODIS NDVI 250 m v.005. When generating synthetic Landsat 5 TM / 7 ETM+ NDVI using AVHRR NDVI, both algorithms performed similarly. However, when considering the temporal over spatial variance ratio between base reference and predictor images, both algorithms performed almost similar when the value close to minimum. This study shows that selection of image blending algorithm with use single pair base reference image should consider input data configuration and temporal over spatial variance ratio.
7 Arheimer, B.; Cudennec, C.; Castellarin, A.; Grimaldi, S.; Heal, K. V.; Lupton, C.; Sarkar, A.; Tian, F.; Onema, J.-M. K.; Archfield, S.; Blöschl, G.; Chaffe, P. L. B.; Croke, B. F. W.; Dembélé, Moctar; Leong, C.; Mijic, A.; Mosquera, G. M.; Nlend, B.; Olusola, A. O.; Polo, M. J.; Sandells, M.; Sheffield, J.; van Hateren, T. C.; Shafiei, M.; Adla, S.; Agarwal, A.; Aguilar, C.; Andersson, J. C. M.; Andraos, C.; Andreu, A.; Avanzi, F.; Bart, R. R.; Bartosova, A.; Batelaan, O.; Bennett, J. C.; Bertola, M.; Bezak, N.; Boekee, J.; Bogaard, T.; Booij, M. J.; Brigode, P.; Buytaert, W.; Bziava, K.; Castelli, G.; Castro, C. V.; Ceperley, N. C.; Chidepudi, S. K. R.; Chiew, F. H. S.; Chun, K. P.; Dagnew, A. G.; Dekongmen, B. W.; del Jesus, M.; Dezetter, A.; do Nascimento Batista, J. A.; Doble, R. C.; Dogulu, N.; Eekhout, J. P. C.; Elçi, A.; Elenius, M.; Finger, D. C.; Fiori, A.; Fischer, S.; Förster, K.; Ganora, D.; Ellouze, E. G.; Ghoreishi, M.; Harvey, N.; Hrachowitz, M.; Jampani, Mahesh; Jaramillo, F.; Jongen, H. J.; Kareem, K. Y.; Khan, U. T.; Khatami, S.; Kingston, D. G.; Koren, G.; Krause, S.; Kreibich, H.; Lerat, J.; Liu, J.; de Brito, M. M.; Mahé, G.; Makurira, H.; Mazzoglio, P.; Merheb, M.; Mishra, A.; Mohammad, H.; Montanari, A.; Mujere, N.; Nabavi, E.; Nkwasa, A.; Alegria, M. E. O.; Orieschnig, C.; Ovcharuk, V.; Palmate, S. S.; Pande, S.; Pandey, S.; Papacharalampous, G.; Pechlivanidis, I.; Penny, G.; Pimentel, R.; Post, D. A.; Prieto, C.; Razavi, S.; Salazar-Galán, S.; Namboothiri, A. S.; Santos, P. P.; Savenije, H.; Shanono, N. J.; Sharma, A.; Sivapalan, M.; Smagulov, Z.; Szolgay, J.; Teng, J.; Teuling, A. J.; Teutschbein, C.; Tyralis, H.; van Griensven, A.; van Schalkwyk, A. J.; van Tiel, M.; Viglione, A.; Volpi, E.; Wagener, T.; Wang-Erlandsson, L.; Wens, M.; Xia, J. 2024. The IAHS science for solutions decade, with Hydrology Engaging Local People IN a Global world (HELPING). Hydrological Sciences Journal, 50p. (Online first) [doi: https://doi.org/10.1080/02626667.2024.2355202]
Hydrology ; Water scarcity ; Transdisciplinary research ; Local knowledge ; Water security ; Prediction ; Anthropocene ; Stakeholders ; Sustainable Development Goals
(Location: IWMI HQ Call no: e-copy only Record No: H052865)
https://www.tandfonline.com/doi/epdf/10.1080/02626667.2024.2355202?needAccess=true
https://vlibrary.iwmi.org/pdf/H052865.pdf
(4.65 MB) (4.65 MB)
The new scientific decade (2023-2032) of the International Association of Hydrological Sciences (IAHS) aims at searching for sustainable solutions to undesired water conditions - may it be too little, too much or too polluted. Many of the current issues originate from global change, while solutions to problems must embrace local understanding and context. The decade will explore the current water crises by searching for actionable knowledge within three themes: global and local interactions, sustainable solutions and innovative cross-cutting methods. We capitalise on previous IAHS Scientific Decades shaping a trilogy; from Hydrological Predictions (PUB) to Change and Interdisciplinarity (Panta Rhei) to Solutions (HELPING). The vision is to solve fundamental water-related environmental and societal problems by engaging with other disciplines and local stakeholders. The decade endorses mutual learning and co-creation to progress towards UN sustainable development goals. Hence, HELPING is a vehicle for putting science in action, driven by scientists working on local hydrology in coordination with local, regional, and global processes.
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