Your search found 11 records
1 Maskey, S.; Jonoski, A.; Solomatine, D. P. 2002. Groundwater remediation strategy using global optimization algorithms. Journal of Water Resources Planning and Management, 128(6):431-440.
(Location: IWMI-HQ Call no: PER Record No: H030732)
2 Maskey, S.; Guinot, V.; Price, R. K. 2004. Treatment of precipitation uncertainty in rainfall-runoff modelling: A fuzzy set approach. Advances in Water Resources, 27(9):889-898.
(Location: IWMI-HQ Call no: PER Record No: H036650)
3 Masih, Ilyas; Uhlenbrook, S.; Ahmad, M. D.; Maskey, S.. 2008. Regionalization of a conceptual rainfall runoff model based on similarity of the flow duration curve: a case study from Karkheh River Basin, Iran. [Abstract only]. Geophysical Research Abstracts, 10. 2p.
(Location: IWMI HQ Call no: e-copy only Record No: H041238)
Streamflow data is a prerequisite for planning and management of water resources. However, in many cases, observed streamflow data are not available or the records are too short or of insufficient quality. This undermines the informed planning and management of water resources at a specific site and as well as at the river basin scale. The study examines the possibility of simulating time series of streamflows for ungauged catchments based on hydrological similarity, using the mountainous, semiarid Karkheh river basin (55,000 km2, Iran) as an example. The main research question examined in this paper is whether or not the parameters of a hydrological model applied to gauged catchments can be successfully transferred for simulating streamflows in hydrologically similar ungauged catchments. In this study, the HBV model is applied to simulate daily streamflow with parameters transferred from gauged basin counterparts. Different similarity measures were reviewed and finally the approach based on the shape of the flow duration curve (FDC) was used. FDCs are frequently used for comparing the response of gauged catchments and for estimating hydrological indices for ungauged catchments, but their potential use for the regionalization of conceptual rainfall runoff models to ungauged catchments needs to be explored and is a subject of this paper. FDCs for ungauged basins are defined using developed regional regression relationships between the parameters of a logarithmic FDC model and physiographic catchment characteristics of eleven gauged catchments. The results suggest that the proposed method could be successfully applied for the estimation of ungauged streamflows in the mountainous parts of the Karkheh river basin. Then the estimated ungauged streamflows were used as an input to conduct water balance analysis of main river reaches of Karkheh river system. The utility of this information is demonstrated in closing the water balance, scenario analysis for surface water allocation and identification of river reaches where further hydrological investigations are crucial.
4 Masih, Ilyas; Uhelnbrook, S.; Maskey, S.; Ahmad, Mobin-ud-Din; Islam, Aminul. 2008. Estimating ungauged stream flows based on model regionalization: examples from the mountainous, semi-arid Karkheh River Basin, Iran. In Brhuthans J.; Kovar, K.; Hrkal, Z. (Eds.). HydroPredict 2008 Conference on Predictions for Hydrology, Ecology, and Water Resources Management: Using Data and Models to Benefit Society, Prague, Czech Republic, 15-18 September 2008. pp 7-10.
River basins ; Stream flow ; Time series analysis ; Simulation models ; Calibration ; Runoff ; Catchment areas ; Water resource management / Iran / Karkheh River Basin
(Location: IWMI HQ Call no: IWMI 551.483 G690 MAS Record No: H041587)
The study examines the possibility of simulating time series of stream flows for ungauged catchments based on hydrological similarity. As an example the mountainous, semiarid Karkheh river basin (50,764 km2) of Iran is presented. The frequently applied HBV model was applied to simulate daily stream flow with parameters transferred from gauged catchment counterparts. Hydrological similarity is defined based on three similarity measures: geographical area, spatial proximity and shape of the flow duration curve (FDC). FDCs for the ungauged catchments were predicted using logarithmic relationship derived from physiographic characteristics of eleven gauged catchments. The study shows that transferring HBV model parameters based on the FDC similarity criterion produces better runoff simulation compared to the similarity criteria based on catchment area and geographical proximity. The validation of the catchment similarity analysis using the FDC on monthly and daily flow simulation resulted in mean Nash-Sutcliffe model efficiency, Reff, of 0.70 and 0.57, respectively. The study concludes that the methods of utilizing FDCs could be applied for estimating ungauged stream flows in the mountainous parts of the Karkheh river basin and source area of other major rivers in that region (e.g. Dez, Karun and Zayandeh Rud).
5 Masih, Ilyas; Uhlenbrook, S.; Maskey, S.; Smakhtin, Vladimir. 2011. Streamflow trends and climate linkages in the Zagros Mountains, Iran. Climatic Change, 104(2):317-338. [doi: https://doi.org/10.1007/s10584-009-9793-x]
River basins ; Stream flow ; Analysis ; Precipitation ; Hydrology ; Climate / Iran / Zagros Mountains / Karkheh River / Ghore Baghestan / Pole Dokhtar
(Location: IWMI HQ Call no: e-copy only Record No: H042660)
(0.53 MB)
This paper examines trends in streamflow and their links with local climate in the Karkheh River and its major tributaries, which originate from the Zagros Mountains, Iran. Streamflow records from five mainstream stations for the period 1961–2001 were used to examine trends in a number of streamflow variables. The studied variables were mean annual and monthly flows, 1 and 7 days maximum and minimum flows, timing of the 1-day maxima and minima, and the number and duration of high and low flow pulses. Similarly, the precipitation and temperature data from seven climate stations for the period from 1950s to 2003 were used to examine trends in climatic variables and their correlation with the streamflow. The Spearman Rank test was used for the detection of trends and the correlation analysis was based on the Pearson method. The results reveal a number of significant trends in streamflow variables both increasing (e.g. December flows) and decreasing (e.g. May flows) for all stations. However, some trends were not spatially uniform. For example, decline in low flow characteristics were more significant in the upper parts of the basin, whereas increasing trends in floods and winter flows were noteworthy in themiddle parts of the basin.Most of these trends could be attributed to precipitation changes. The results show that the decline in April and May precipitation causes the decline in the low flows while the increase in winter (particularly March) precipitation coupled with temperature changes lead to increase in the flood regime. The observed trends at the Jelogir station on the Karkheh River reflect the combined effect of the upstream catchments. The significant trends observed in a number of streamflow variables at Jelogir, 1-day maximum, December flow and low pulse count and duration, point to the changes in hydrological regime of the entire Karkheh River system and are attributed to the changes in climatic variables.
6 Masih, Ilyas; Maskey, S.; Uhlenbrook, S.; Smakhtin, Vladimir. 2009. Assessing the benefits of improved precipitation inputs in SWAT model simulations. In Texas Water Resources Institute. 2009 International SWAT Conference Proceedings, University of Colorado at Boulder, Boulder, Colorado, USA, 5-7 August 2009. College Station, TX, USA: Texas A&M University System. pp.285-292. (Texas Water Resources Institute Technical Report 356)
Precipitation ; Hydrology ; Simulation models ; Water balance ; River basins / Iran / Karkheh River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H042755)
(0.12 MB)
The importance of better input data, model structure and parameterization for good process-based predictions are well recognized in the hydrological modeling. Although the physically based semi-distributed model Soil Water Assessment Tool (SWAT) offers a range of possibility for defining the model structure and input data, the input of climatic data is still very simple. SWAT uses the data of gauge located nearest to the centroid of the catchment, which may not always represent overall catchment climatic conditions. This eventually influences the model parameterization process and quality of the predicted results. This paper uses areal precipitation obtained through interpolation and compares the model performance (observed versus simulated hydrograph) using the normal SWAT precipitation input procedure (station precipitation). The model was applied to mountainous, semi arid catchments in the Karkheh basin, Iran. Daily time series data from October 1987 to September 2001 were used for the model calibration (1987-94) and validation (1994-01). The model performance was evaluated at daily, monthly and annual scales by using a number of performance indicators. The comparison suggests that the use of areal precipitation is likely to improve model performance at smaller spatial scales, i.e., sub-catchments representing tertiary level streams (having drainage area in the range of 600 to 2,300 km2). Whereas reasonably good simulations can be achieved for larger scales representing the Karkheh River and its major tributaries (drainage area of greater than 5,000 km2) under both precipitation scenarios.
7 Masih, Ilyas; Uhlenbrook, S.; Maskey, S.; Ahmad, M. D. 2010. Regionalization of a conceptual rainfall-runoff model based on similarity of the flow duration curve: a case study from the semi-arid Karkheh Basin, Iran. Journal of Hydrology, 391(1-2):188–201. [doi: https://doi.org/10.1016/j.jhydrol.2010.07.018]
River basins ; Rainfall-runoff relationships ; Hydrology ; Simulation models ; Stream flow ; Time series analysis ; Catchment areas ; Case studies / Iran / Karkheh River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H043079)
(1.14 MB)
The study examines the possibility of simulating time series of streamflows for poorly gauged catchments based on hydrological similarity. The data of 11 gauged catchments (475–2522 km2), located in the mountainous semi-arid Karkheh river basin of Iran, is used to develop the procedure. The well-known HBV model is applied to simulate daily streamflow with parameters transferred from gauged catchment counterparts. Hydrological similarity is defined based on four similarity measures: drainage area, spatial proximity, catchment characteristics and flow duration curve (FDC). The study shows that transferring HBV model parameters based on the FDC similarity criterion produces better runoff simulation compared to the other three methods. Furthermore, it is demonstrated that the FDC based regionalization of HBV model parameters works reasonably well for streamflow simulations in the data limited catchments in the mountainous parts of the Karkheh river basin. In addition, it could be demonstrated that the parameter uncertainty of the model has little impact on the FDC based regionalization approach. The methodology presented in this paper is easy to replicate in other river basins of the world, particularly those facing decline in streamflow monitoring networks and with a limited number of gauged catchments.
8 Masih, Ilyas; Maskey, S.; Uhlenbrook, S.; Smakhtin, Vladimir. 2010. Assessing the impact of areal precipitation input on streamflow simulations using the SWAT model. Journal of the American Water Resources Association, 47(1):179-195. [doi: https://doi.org/10.1111/j.1752-1688.2010.00502.x]
Simulation models ; Hydrology ; Precipitation ; Stream flow ; River basins ; Water resource management ; Planning / Iran / Karkheh River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H043436)
(0.64 MB)
Reduction of input uncertainty is a challenge in hydrological modeling. The widely used model Soil Water Assessment Tool (SWAT) uses the data of a precipitation gauge nearest to the centroid of each subcatchment as an input for that subcatchment. This may not represent overall catchment precipitation conditions well. This paper suggests an alternative – using areal precipitation obtained through interpolation. The effectiveness of this alternative is evaluated by comparing its simulations with those based on the standard SWAT precipitation input procedure. The model is applied to mountainous semiarid catchments in the Karkheh River basin, Iran. The model performance is evaluated at daily, monthly, and annual scales by using a number of performance indicators at 15 streamflow gauging stations each draining an area in the range of 590-42,620 km2. The comparison suggests that the use of areal precipitation improves model performance particularly in small subcatchments in the range of 600-1,600 km2. The modified areal precipitation input results in increased reliability of simulated streamflows in the areas of low rain gauge density. Both precipitation input methods result in reasonably good simulations for larger catchments (over 5,000 km2). The use of areal precipitation input improves the accuracy of simulated streamflows with spatial resolution and density of rain gauges having significant impact on results.
9 Maskey, S.; Bhatt, D.; Uhlenbrook, S.; Prasad, K. C.; Babel, M. S. 2015. Adaptation to climate change impacts on agriculture and agricultural water management - a review. In Hoanh, Chu Thai; Johnston, Robyn; Smakhtin, Vladimir. Climate change and agricultural water management in developing countries. Wallingford, UK: CABI. pp.11-31. (CABI Climate Change Series 8)
Climate change adaptation ; Agriculture ; Water management ; Water requirements ; Irrigation water ; Impact assessment ; Crop yield ; Crop production ; Carbon dioxide ; Temperature ; Precipitation ; Socioeconomic development ; Farmers
(Location: IWMI HQ Call no: IWMI Record No: H047369)
(628 KB)
10 Djumaboev, Kakhramon; Anarbekov, Oyture; Holmatov, B.; Hamidov, A.; Gafurov, Zafar; Murzaeva, Makhliyo; Susnik, J.; Maskey, S.; Mehmood, H.; Smakhtin, V. 2020. Surface water resources. In Xenarios, S.; Schmidt-Vogt, D.; Qadir, M.; Janusz-Pawletta, B.; Abdullaev, I. (Eds.). The Aral Sea Basin: water for sustainable development in Central Asia. Oxon, UK: Routledge - Earthscan. pp.25-38. (Earthscan Series on Major River Basins of the World)
Water resources development ; Surface water ; Hydrometeorology ; Observation ; Climate change ; Anthropogenic factors ; Water use ; Irrigated farming ; Infrastructure ; Temperature ; Precipitation ; Rivers ; Flow discharge ; Riparian zones / Central Asia / Uzbekistan / Tajikistan / Kyrgyzstan / Kazakhstan / Turkmenistan / Aral Sea Basin / Amu Darya River / Syr Darya River
(Location: IWMI HQ Call no: e-copy only Record No: H049380)
(5.84 MB)
11 Sharma, S.; Talchabhadel, R.; Nepal, Santosh; Ghimire, G. R.; Rakhal, B.; Panthi, J.; Adhikari, B. R.; Pradhanang, S. M.; Maskey, S.; Kumar, S. 2023. Increasing risk of cascading hazards in the central Himalayas. Natural Hazards, 119(2):1117-1126. (Special issue: Multimodal Characterization of Built and Natural Environments for Multi-Risk Assessment) [doi: https://doi.org/10.1007/s11069-022-05462-0]
Weather hazards ; Disaster risk management ; Forecasting ; Climate change ; Mitigation ; Adaptation ; Strategies ; Natural disasters ; Landslides ; Flooding ; Avalanches ; Earthquakes ; Early warning systems ; Modelling ; Infrastructure ; Rivers / South Asia / Nepal / Central Himalayas
(Location: IWMI HQ Call no: e-copy only Record No: H051248)
(1.70 MB)
Cascading hazards are becoming more prevalent in the central Himalayas. Primary hazards (e.g., earthquakes, avalanches, and landslides) often trigger secondary hazards (e.g., landslide dam, debris flow, and flooding), compounding the risks to human settlements, infrastructures, and ecosystems. Risk management strategies are commonly tailored to a single hazard, leaving human and natural systems vulnerable to cascading hazards. In this commentary, we characterize diverse natural hazards in the central Himalayas, including their cascading mechanisms and potential impacts. A scientifically sound understanding of the cascading hazards, underlying mechanisms, and appropriate tools to account for the compounding risks are crucial to informing the design of risk management strategies. We also discuss the need for an integrated modeling framework, reliable prediction and early warning system, and sustainable disaster mitigation and adaptation strategies.
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