Your search found 9 records
1 Khan, M. A. H.; Khan, A. A.. 1985. Surface water strategy, policies and laws in Bangladesh. Paper presented at the Regional Symposium on Water Resources Policy in Agro-Socio Economic Development, Dhaka, Bangladesh, 4-8 August 1985. 23p.
(Location: IWMI-HQ Call no: P 800 Record No: H03862)
2 Khan, A. A.. 1985. Economic consideration and alternative in water policy formulation in Bangladesh. Paper presented at the Regional Symposium on Water Policy in Agro-Socio Economic Development, Dhaka, Bangladesh, 4-8 August 1985. 38p.
Economic aspects ; Economic policy ; Water resources development ; Irrigation systems ; Irrigation efficiency / Bangladesh
(Location: IWMI-HQ Call no: P 514 Record No: H03907)
3 Yitayew, M.; Khan, A. A.. 1995. Field evaluation of water and solute movement from a point source. In Lamm, F. R. (Ed.), Microirrigation for a changing world: Conserving resources/preserving the environment: Proceedings of the Fifth International Microirrigation Congress, Hyatt Regency Orlando, Orlando, Florida, April 2-6, 1995. St. Joseph, MI, USA: ASAE. pp.609-614.
(Location: IWMI-HQ Call no: 631.7 G000 LAM Record No: H018913)
4 Ishaq, A. M.; Khan, A. A.. 1997. Recharge of aquifers with reclaimed wastewater: A case for Saudi Arabia. The Arabian Journal for Science and Engineering, 22(1C):133-141.
Groundwater management ; Aquifers ; Recharge ; Wastewater ; Water quality ; Economic aspects / Arab countries / Middle East / Saudi Arabia
(Location: IWMI-HQ Call no: P 4652 Record No: H021628)
5 Bhat, G. N.; Khan, A. A.. 1998. Sustainable water management: A necessity for sustainable agriculture. In Khan, A. F. (Ed.), Water resource management: Thrust and challenges. New Delhi, India: Anmol Publications Pvt. Ltd. pp.135-149.
Water management ; Sustainable agriculture ; Water resources ; Groundwater ; Irrigation efficiency ; Crop production ; Water requirements ; Surface irrigation ; Sprinkler irrigation ; Rain ; Forecasting ; Rain-fed farming ; Evaporation ; Farming systems / India
(Location: IWMI-HQ Call no: 333.91 G635 KHA Record No: H022555)
6 Shah, S. M. S.; Baig, M. A.; Khan, A. A.; Gabriel, H. F. 2001. Water conservation through community institutions in Pakistan: Mosques and religious schools. In Faruqui, N. I.; Biswas, A. K.; Bino, M. J. (Eds.), Water management in Islam. Tokyo, Japan: UNU. pp.61-67.
(Location: IWMI-HQ Call no: 333.91 GG30 FAR Record No: H028203)
7 Khan, A. A.; Shah, S. M. S.; Gabriel, H. F. 2002. The influence of conceptual flow simulation model parameters on model solution. Water Resources Management, 16(1):51-69.
Simulation models ; Calibrations ; Groundwater ; Surface water ; Runoff ; Water storage ; Watersheds / Pakistan
(Location: IWMI-HQ Call no: PER Record No: H030345)
8 Simmons, Robert W.; Blümmel, M.; Reddy, R. C.; Khan, A. A.. 2007. Impact of wastewater irrigation on Cd and Pb concentrations in rice straw and paragrass: implications for food safety. Paper presented at the First International Conference on Food Safety of Animal Products, Amman, Jordan, 12-14 November 2007. 4p.
Wastewater irrigation ; Fodder ; Feed grasses ; Rice straw ; Cadmium ; Lead ; Health hazards ; Risks ; Food safety / India / Hyderabad / Musi River
(Location: IWMI HQ Call no: IWMI 631.7.5 G635 SIM Record No: H040570)
https://food-safety.uni-hohenheim.de/fileadmin/einrichtungen/food-safety/Conferece_Contributions/Impact_of_wastewater_irrigation_on_Cd_and_Pb_concentrations_in_rice_straw_and_paragrass__Implications_for_food_safety..pdf
https://vlibrary.iwmi.org/pdf/H040570.pdf
https://vlibrary.iwmi.org/pdf/H040570.pdf
(0.11 MB) (50.50KB)
9 Mukhtar, M. A.; Shangguan, D.; Ding, Y.; Anjum, M. N.; Banerjee, A.; Butt, A. Q.; yadav, N.; Li, D.; Yang, Q.; Khan, A. A.; Muhammad, A.; He, B. B. 2024. Integrated flood risk assessment in Hunza-Nagar, Pakistan: unifying big climate data analytics and multi-criteria decision-making with GIS. Frontiers in Environmental Science, 12:1337081. [doi: https://doi.org/10.3389/fenvs.2024.1337081]
Flooding ; Risk assessment ; Climatic data ; Decision making ; Geographical information systems ; Vulnerability ; Rainfall ; Vegetation ; Land use ; Land cover ; Soil types ; Models ; Remote sensing ; Precipitation / Pakistan / Hunza-Nagar Valley / Hunza River
(Location: IWMI HQ Call no: e-copy only Record No: H052634)
https://www.frontiersin.org/articles/10.3389/fenvs.2024.1337081/pdf?isPublishedV2=False
https://vlibrary.iwmi.org/pdf/H052634.pdf
https://vlibrary.iwmi.org/pdf/H052634.pdf
(7.01 MB) (7.01 MB)
Floods are a widespread natural disaster with substantial economic implications and far-reaching consequences. In Northern Pakistan, the Hunza-Nagar valley faces vulnerability to floods, posing significant challenges to its sustainable development. This study aimed to evaluate flood risk in the region by employing a GIS-based Multi-Criteria Decision Analysis (MCDA) approach and big climate data records. By using a comprehensive flood risk assessment model, a flood hazard map was developed by considering nine influential factors: rainfall, regional temperature variation, distance to the river, elevation, slope, Normalized difference vegetation index (NDVI), Topographic wetness index (TWI), land use/land cover (LULC), curvature, and soil type. The analytical hierarchy process (AHP) analysis assigned weights to each factor and integrated with geospatial data using a GIS to generate flood risk maps, classifying hazard levels into five categories. The study assigned higher importance to rainfall, distance to the river, elevation, and slope compared to NDVI, TWI, LULC, curvature, and soil type. The weighted overlay flood risk map obtained from the reclassified maps of nine influencing factors identified 6% of the total area as very high, 36% as high, 41% as moderate, 16% as low, and 1% as very low flood risk. The accuracy of the flood risk model was demonstrated through the Receiver Operating Characteristics-Area Under the Curve (ROC-AUC) analysis, yielding a commendable prediction accuracy of 0.773. This MCDA approach offers an efficient and direct means of flood risk modeling, utilizing fundamental GIS data. The model serves as a valuable tool for decision-makers, enhancing flood risk awareness and providing vital insights for disaster management authorities in the Hunza-Nagar Valley. As future developments unfold, this study remains an indispensable resource for disaster preparedness and management in the Hunza-Nagar Valley region.
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