Your search found 6 records
1 Tingsanchali, T.; Singh, P. R. 1996. Optimum water resources allocation for Mekong-Chi-Mun Transbasin Irrigation Project, Northeast Thailand. Water International, 21(1):20-29.
Water resources ; Water allocation ; Irrigation programs ; River basin development ; Linear programming ; Models ; Optimization / Thailand / Mekong River Basin / Chi River Basin / Mun River Basin
(Location: IWMI-HQ Call no: PER Record No: H018345)
2 Hungspreug, S.; Waroonchotikul, P.; Lekuthai, A. 1996. Water resources management techniques for integrated planning of the Mun Basin, Thailand: Water allocation planning. In Regional Seminar on Integrated River Basin Management, 2-5 September, 1996, Malacca, Malaysia: Proceedings vol.2 - Special lectures and country experiences/case studies. Malacca, Malaysia: Malaysian National Committee on Irrigation and Drainage. pp.3/3/1-27.
River basin development ; Water resource management ; Simulation models ; Water allocation / Thailand / Mun River Basin
(Location: IWMI-HQ Call no: 333.91 G000 REG Record No: H019207)
3 1996. Regional Seminar on Integrated River Basin Management, 2-5 September, 1996, Malacca, Malaysia: Proceedings vol.2 - Special lectures and country experiences/case studies. Malacca, Malaysia: Malaysian National Committee on Irrigation and Drainage. v.p.
River basin development ; Rivers ; Legal aspects ; Water law ; Water resource management ; Simulation models ; Drainage ; Design ; Flood control / Egypt / Taiwan / Thailand / Singapore / Malaysia / Iran / India / Bangladesh / Sri Lanka / Mekong Basin / Nile River / Muda River Basin / Tanshui River Basin / Mun River Basin / Melaka River / Karkheh River / Ganges River Basin / Brahmaputra River Basin / Meghna River Basin
(Location: IWMI-HQ Call no: 333.91 G000 REG Record No: H019203)
4 Vongvisessomjai, S.; Huu-Thoi, N. 2000. Runoff modelling and generation for large river basins. 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.136-148.
River basins ; Rainfall-runoff relationships ; Hydrology ; Models ; Calibrations ; Precipitation ; Soil moisture ; Catchment areas / South East Asia / Thailand / Mekong River Basin / Mun River Basin / Nam Songkhram River Basin
(Location: IWMI-HQ Call no: 551.48 G800 ALS Record No: H027284)
5 Binnie, D. J.; Thanophanuwat, S.; Boonlue, C.; Chupisanyaroj, V.; Wongwan, T. 1996. Water resources management techniques for integrated planning of the Mun Basin, Thailand: water allocation planning. In Indonesia. Ministry of Public Works. Directorate General of Water Resources Development; Japan International Cooperation Agency (JICA); Indonesian National Committee of ICID (INACID). Proceedings of Joint Seminar on Optimization of Water Allocation for Sustainable Development, Jakarta, Indonesia, 16-17 January 1996. Jakarta, Indonesia: Ministry of Public Works. Directorate General of Water Resources Development. pp.I:259-284.
River basin development ; Planning ; Water allocation ; Climate ; Flood control ; Simulation models ; Irrigation efficiency / Thailand / Mun River Basin
(Location: IWMI HQ Call no: 333.91 G662 IND Record No: H029071)
6 Penny, J.; Khadka, D.; Alves, P. B. R.; Chen, A. S.; Djordjevic, S. 2023. Using multi criteria decision analysis in a geographical information system framework to assess drought risk. Water Research X, 20:100190. [doi: https://doi.org/10.1016/j.wroa.2023.100190]
Drought ; Risk ; Land use change ; Reforestation ; Rainfall ; Evapotranspiration ; Precipitation ; Soil moisture ; Vulnerability ; Water quality ; Climate models / Thailand / Mun River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H052619)
https://www.sciencedirect.com/science/article/pii/S2589914723000269/pdfft?md5=e416b830cb733e7e430528d1075ab171&pid=1-s2.0-S2589914723000269-main.pdf
https://vlibrary.iwmi.org/pdf/H052619.pdf
https://vlibrary.iwmi.org/pdf/H052619.pdf
(15.30 MB) (15.3 MB)
In this study we use the Mun river basin to demonstrate how a Multi Criteria Decision Analysis – Geographical Information Systems (MCDA-GIS) methodology can be used to assess drought risk. This paper not only provides a step forward in considering other elements such as land use change, climate within drought risk but also splits annual risk across three seasons (wet, cool and hot), previously not done. We also investigate how land use change, in the form of a/reforestation and changing crop varieties could potentially mitigate future risk.
MCDA rankings from experts found that climatic factors such as rainfall, evapotranspiration and maximum temperature were the most significant. By splitting up the seasons we have been able to observe the temporal and spatial changes in drought risk at an increased detail, an important step in mitigating water security issue in the future. Results for cool months found an increased risk in the north and east (Surin, Si Sa Ket and Rio Et). With hot months finding increased risk in the east (Surin and Si Sa Ket especially) and west in Nakon Ratchasima. Whereas the wet season risk was greatest in the West (Nakon Ratchima, Khon Kean and Mara Sarakham). Differences in future land use scenarios compared to 2017 found that if current trends continued (BAU), the areas at risk from drought will increase. However, by changing land use in the form of a/reforestation (COB) or changing crop types (PRO), drought risk will decrease. Thus, the MCDA-GIS methodology serves as a great starting point, providing a high flexibility in data, meaning the methodology can readily applied to other case studies across the world.
MCDA rankings from experts found that climatic factors such as rainfall, evapotranspiration and maximum temperature were the most significant. By splitting up the seasons we have been able to observe the temporal and spatial changes in drought risk at an increased detail, an important step in mitigating water security issue in the future. Results for cool months found an increased risk in the north and east (Surin, Si Sa Ket and Rio Et). With hot months finding increased risk in the east (Surin and Si Sa Ket especially) and west in Nakon Ratchasima. Whereas the wet season risk was greatest in the West (Nakon Ratchima, Khon Kean and Mara Sarakham). Differences in future land use scenarios compared to 2017 found that if current trends continued (BAU), the areas at risk from drought will increase. However, by changing land use in the form of a/reforestation (COB) or changing crop types (PRO), drought risk will decrease. Thus, the MCDA-GIS methodology serves as a great starting point, providing a high flexibility in data, meaning the methodology can readily applied to other case studies across the world.
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