Your search found 9 records
1 Takeuchi, K.; Tianqi, A.; Ishidaira, H.. 2000. Hydrological simulation of the Mekong Basin by BTOPMC. In Al-Soufi, R. W. (Ed.), Proceedings of the Workshop on Hydrologic and Environmental Modelling in the Mekong Basin, 11-12 September 2000, Phnom Penh. Phnom Penh, Cambodia: Mekong River Commission. Technical Support Division. pp.1-12.
River basins ; Hydrology ; Simulation models ; Rainfall-runoff relationships ; Precipitation ; Stream flow / South East Asia / Mekong River Basin
(Location: IWMI-HQ Call no: 551.48 G800 ALS Record No: H027278)
2 Xu, Z. X.; Tekeuchi, K.’; Ishidaira, H.; Zhang, X. W. 2002. Sustainability analysis for Yellow River water resources using the system dynamics approach. Water Resources Management, 16(3):239-261.
River basins ; Water resources ; Sustainability ; Groundwater ; Surface water ; Wastewater ; Water reuse ; Water demand ; Estimation ; Water shortage ; Forecasting ; Domestic water ; Irrigation water ; Water supply / China / Yellow River Basin
(Location: IWMI-HQ Call no: PER Record No: H030547)
3 Xu, Z. X.; Takeuchi, K.; Ishidaira, H.; Hu, C. H.; Liu, C. M. 2003. Application of a distributed hydrologic model in Wei River Basin. In Yellow River Conservancy Commission. Proceedings, 1st International Yellow River Forum on River Basin Management – Volume I. Zhengzhou, China: The Yellow River Conservancy Publishing House. pp.273-280.
(Location: IWMI-HQ Call no: 333.91 G592 YEL Record No: H033797)
4 Guo, Q.; Hu, C.; Takeuchi, K.; Ishidaira, H.. 2004. Combination of runoff simulation with sediment modeling in rivers and its application in the Lower Yellow River. Water International, 29(4):439-446.
(Location: IWMI-HQ Call no: PER Record No: H036711)
5 Xu, Z.; Takeuchi, K.; Ishidaira, H.; Liu, C. 2005. An overview of water resources in the Yellow River Basin. Water International, 30(2):225-238.
Water resource management ; River basins ; Precipitation ; Surface water ; Groundwater ; Water use ; Domestic water ; Irrigation water ; Water demand / China / Yellow River Basin
(Location: IWMI-HQ Call no: PER Record No: H037853)
6 Kiem, A. S.; Ishidaira, H.; Hapuarachchi, H. P.; Zhou, M. C.; Hirabayashi, Y.; Takeuchi, K. 2008. Future hydroclimatology of the Mekong River Basin simulated using the high-resolution Japan Meteorological Agency (JMA) AGCM. Hydrological Processes, 22: 1382-1394.
River Basin management ; Climate change ; Hydrology ; Simulation models ; Precipitation ; Flooding ; Drought ; Water resource management / South East Asia / Mekong River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H041506)
7 Thapa, B. R.; Ishidaira, H.; Pandey, Vishnu Prasad; Shakya, N. M. 2017. A multi-model approach for analyzing water balance dynamics in Kathmandu Valley, Nepal. Journal of Hydrology: Regional Studies, 9:149-162. [doi: https://doi.org/10.1016/j.ejrh.2016.12.080]
Water balance ; Hydrological cycle ; Models ; Water resources ; Water security ; Water storage ; Watersheds ; Runoff ; Precipitation ; Rain ; Evapotranspiration ; Calibration ; Strategies ; Performance indexes ; Forecasting ; Meteorological stations ; Valleys / Nepal / Kathmandu Valley
(Location: IWMI HQ Call no: e-copy only Record No: H048050)
http://www.sciencedirect.com/science/article/pii/S2214581816303342/pdfft?md5=dfb49d8448e61d96f0bca2947f34951d&pid=1-s2.0-S2214581816303342-main.pdf
https://vlibrary.iwmi.org/pdf/H048050.pdf
https://vlibrary.iwmi.org/pdf/H048050.pdf
(1.35 MB) (1.35 MB)
Study region: Kathmandu Valley, Capital city of Nepal.
Study focus: This study applied three hydrological models (i.e., SWAT, HBV, and BTOPMC) to analyze the water balance components and their temporal and seasonal variations in the Kathmandu Valley, Nepal. The water balance components were investigated using the same precipitation, climatic data, and potential evapotranspiration (PET) as input variables for each model. The yearly and seasonal variations in each component and the interactions among them were analyzed. There was a close agreement between the monthly observed and calibrated runoff at the watershed scale, and all the three models captured well the flow patterns for most of the seasons.
New hydrological insights for the region: The average annual runoff in the study watershed calculated by the SWAT, HBV, and BTOPMC models was 887, 834, and 865 mm, corresponding to 59%, 55%, and 57% of the annual precipitation, respectively. The average annual evapotranspiration (ET) was 625, 623, and 718 mm, and the estimated yearly average total water storage (TWS) was 5, -35, and 29 mm, respectively. The long-term average TWS component was similar in all three models. ET had the lowest inter-annual variation and runoff had the greatest inter-annual variation in all models. Predictive analysis using the three models suggested a reasonable range for estimates of runoff, ET, and TWS. Although there was variation in the estimates among the different models, our results indicate a possible range of variation for those values, which is a useful finding for the short- and long-term planning of water resource development projects in the study area. The effects of historical water use, water stress, and climatic projections using multi-model water balance approaches offer a useful direction for future studies to enhance our understanding of anthropogenic effects in the Kathmandu Valley.
Study focus: This study applied three hydrological models (i.e., SWAT, HBV, and BTOPMC) to analyze the water balance components and their temporal and seasonal variations in the Kathmandu Valley, Nepal. The water balance components were investigated using the same precipitation, climatic data, and potential evapotranspiration (PET) as input variables for each model. The yearly and seasonal variations in each component and the interactions among them were analyzed. There was a close agreement between the monthly observed and calibrated runoff at the watershed scale, and all the three models captured well the flow patterns for most of the seasons.
New hydrological insights for the region: The average annual runoff in the study watershed calculated by the SWAT, HBV, and BTOPMC models was 887, 834, and 865 mm, corresponding to 59%, 55%, and 57% of the annual precipitation, respectively. The average annual evapotranspiration (ET) was 625, 623, and 718 mm, and the estimated yearly average total water storage (TWS) was 5, -35, and 29 mm, respectively. The long-term average TWS component was similar in all three models. ET had the lowest inter-annual variation and runoff had the greatest inter-annual variation in all models. Predictive analysis using the three models suggested a reasonable range for estimates of runoff, ET, and TWS. Although there was variation in the estimates among the different models, our results indicate a possible range of variation for those values, which is a useful finding for the short- and long-term planning of water resource development projects in the study area. The effects of historical water use, water stress, and climatic projections using multi-model water balance approaches offer a useful direction for future studies to enhance our understanding of anthropogenic effects in the Kathmandu Valley.
8 Thapa, Bhesh Raj; Ishidaira, H.; Pandey, Vishnu Prasad; Bhandari, T. M.; Shakya, N. M. 2018. Evaluation of water security in Kathmandu Valley before and after water transfer from another basin. Water, 10(2):1-12. [doi: https://doi.org/10.3390/w10020224]
Water security ; Evaluation ; Water supply ; Development projects ; Water transfer ; Drinking water ; Water demand ; Estimation ; Freshwater ; Reservoirs ; Water distribution ; Population growth ; Households ; Valleys ; River basins / Nepal / Kathmandu Valley / Melamchi Water Supply Project
(Location: IWMI HQ Call no: e-copy only Record No: H048978)
(2.98 MB) (2.98 MB)
Kathmandu Upatyaka Khanepani Limited (KUKL) has planned to harness water from outside the valley from Melamchi as an inter-basin project to supply water inside the ring road (core valley area) of the Kathmandu Valley (KV). The project, called the “Melamchi Water Supply Project (MWSP)”, is expected to have its first phase completed by the end of September 2018 and its second phase completed by the end of 2023 to supply 170 MLD (million liters a day) through the first phase and an additional 340 MLD through the second phase. The area has recently faced a severe water deficit and KUKL’s existing infrastructure has had a limited capability, supplying only 19% of the water that is demanded in its service areas during the dry season and 31% during the wet season. In this context, this study aims to assess the temporal trends and spatial distribution of household water security index (WSI), defined as a ratio of supply to demand for domestic water use for basic human water requirements (50 L per capita per day (lpcd)) and economic growth (135 lpcd) as demand in pre and post-MWSP scenarios. For this purpose, data on water demand and supply with infrastructure were used to map the spatial distribution of WSI and per capita water supply using ArcMap. Results show a severe water insecurity condition in the year 2017 in all KUKL service areas (SAs), which is likely to improve after completion of the MWSP. It is likely that recent distribution network and strategies may lead to inequality in water distribution within the SAs. This can possibly be addressed by expanding existing distribution networks and redistributing potable water, which can serve an additional 1.21 million people in the area. Service providers may have to develop strategies to strengthen a set of measures including improving water supply infrastructures, optimizing water loss, harnessing additional water from hills, and managing water within and outside the KUKL SAs in the long run to cover the entire KV.
9 Thapa, Bhesh Raj; Ishidaira, H.; Gusyev, M.; Pandey, Vishnu Prasad; Udmale, P.; Hayashi, M.; Shakya, N. M. 2019. Implications of the Melamchi water supply project for the Kathmandu Valley groundwater system. Water Policy, 21(S1):120-137. [doi: https://doi.org/10.2166/wp.2019.084]
Water supply ; Groundwater management ; Groundwater flow ; Models ; Groundwater extraction ; Pumping ; Wells ; Water resources ; Water deficit ; Water demand ; Watersheds ; Aquifers ; Valleys / Nepal / Kathmandu Valley / Melamchi Water Supply Project
(Location: IWMI HQ Call no: e-copy only Record No: H049465)
https://iwaponline.com/wp/article-pdf/21/S1/120/632511/021000120.pdf
https://vlibrary.iwmi.org/pdf/H049465.pdf
https://vlibrary.iwmi.org/pdf/H049465.pdf
(0.89 MB) (912 KB)
To meet the demand deficit in Kathmandu Valley, the Government of Nepal has planned to supply an additional 510 million liters per day (mld) of water by implementing the Melamchi Water Supply Project (MWSP) in the near future. In this study, we aim to assess the spatial distribution of groundwater availability and pumping under five scenarios for before and after the implementation of the MWSP using a numerical groundwater flow model. The data on water demand, supply infrastructure, changes in hydraulic head, groundwater pumping rates, and aquifer characteristics were analyzed. Results showed that groundwater pumping from individual wells ranges from 0.0018 to 2.8 mld and the average hydraulic head declined from 2.57 m below ground level (bgl) (0.23 m/year) to 21.58 m bgl (1.96 m/year). Model simulations showed that changes in average hydraulic head ranged from þ2.83 m to þ5.48 m at various stages of the MWSP implementation, and 2.97 m for increased pumping rates with no implementation of the MWSP. Regulation in pumping such as monetary instruments (groundwater pricing) on the use of groundwater along with appropriate metering and monitoring of pumping amounts depending on the availability of new and existing public water supply could be interventions in the near future.
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