Your search found 3 records
1 Drechsel, Pay; Hanjra, Munir A. (Eds.) 2018. Wastewater for agriculture, forestry and aquaculture - Section iv. In Otoo, Miriam; Drechsel, Pay (Eds.). Resource recovery from waste: business models for energy, nutrient and water reuse in low- and middle-income countries. Oxon, UK: Routledge - Earthscan. pp.548-774.
Wastewater treatment ; Wastewater irrigation ; Agriculture ; Forestry ; Aquaculture ; Business models ; Resource recovery ; Cost recovery ; Supply chain ; Wood production ; Fruit products ; Water reuse ; Composting ; Industrial wastewater ; Market economies ; Sewage sludge ; Household wastes ; Solid wastes ; Sanitation ; State intervention ; Waste water treatment plants ; Socioeconomic environment ; Environmental impact assessment ; Suburban areas ; Household wastes ; Deserts ; Arid regions ; Semiarid zones ; Risk reduction ; Fish feeding ; Public-private cooperation ; Partnerships ; Municipal wastes ; Hydropower ; Greenhouse gases ; Emission reduction ; Carbon dioxide ; Health hazards ; Private sector ; Private investment ; Freshwater ; Farmers ; Domestic water ; Deltas ; Urban areas ; Downstream ; Aquifers ; Case studies / Egypt / Tunisia / Morocco / Bangladesh / Ghana / Jordan / Iran / Spain / Mexico / India / Cairo / Ouardanine / Monastir / Mirzapure / Kumasi / Amman / Mashhad / Barcelona / Bangalore / Llobregat Delta
(Location: IWMI HQ Call no: IWMI Record No: H048676)
(6.99 MB)
2 Hu, Z.; Zhang, Z.; Sang, Y.-F.; Qian, J.; Feng, W.; Chen, X.; Zhou, Q. 2021. Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models. Journal of Hydrology, 596:126013. [doi: https://doi.org/10.1016/j.jhydrol.2021.126013]
Water storage ; Datasets ; Satellite observation ; Hydrology ; Models ; Precipitation ; Temperature ; Evapotranspiration ; Soil moisture ; Arid regions ; Water resources ; Sustainable Development Goals ; River basins ; Lakes ; Spatial distribution ; Forecasting ; Uncertainty / Central Asia / Kazakhstan / Turkmenistan / Uzbekistan / Tajikistan / Kyrgyzstan / Aral Sea Basin / Balkhash Lake / Issyk-Kul Lake
(Location: IWMI HQ Call no: e-copy only Record No: H050341)
(7.60 MB)
Arid regions of Central Asia have sensitive ecosystems that rely heavily on terrestrial water storage which is composed of surface water storage, soil moisture storage and groundwater storage. Therefore, we employed three Gravity Recovery and Climate Experiment (GRACE) satellite datasets and five global hydrological models (GHMs) to explore the terrestrial water storage (TWS) changes over arid regions of Central Asia from 2003 to 2014. We observed significantly decreasing water storage trends in the GRACE data, which were underestimated by the GHMs. After averaging the three GRACE satellite datasets, we found that the water storage was decreasing at a rate of -4.74 mm/year. Contrary to the prevailing declining water storage trends, northeastern Kazakhstan (KAZ), and southern Xinjiang increased their water storage over the same period. The GRACE data showed that Turkmenistan (TKM), Uzbekistan (UZB) and KAZ experienced the most severe water depletions, while Tajikistan (TJK) and northwest China (NW) experienced the least significant depletions. With respect to the major river and lake basins, the Aral Sea Basin exhibited the most serious water loss (-0.60 mm/month to -0.38 mm/month). The water storage positively correlates with the precipitation; and negatively correlates, with a three-month lag, with temperature and potential evapotranspiration (PET). Partial least square regression (PLSR) had the high capability in simulating and predicting the TWS. These results provide scientific evidence and guidance for local policy makers working toward sustainable water resource management, and the resolution of international water resource disputes among Central Asian countries.
3 Kizhisseri, M. I.; Mohamed, M. M.; Hamouda, M. A. 2022. A mixed-integer optimization model for water sector planning and policy making in arid regions. Water Resources and Industry, 28:100193. [doi: https://doi.org/10.1016/j.wri.2022.100193]
Water supply ; Water resources ; Water management ; Models ; Sustainability ; Arid regions ; Infrastructure ; Water demand ; Waste water treatment plants ; Decision making ; Environmental impact ; Economic value ; Carbon footprint ; Drinking water ; Integrated water resources management ; Policy making ; Case studies / United Arab Emirates / Abu Dhabi
(Location: IWMI HQ Call no: e-copy only Record No: H051561)
https://www.sciencedirect.com/science/article/pii/S2212371722000269/pdfft?md5=4d05b66377e0e6c1e30182bb85952d03&pid=1-s2.0-S2212371722000269-main.pdf
https://vlibrary.iwmi.org/pdf/H051561.pdf
https://vlibrary.iwmi.org/pdf/H051561.pdf
(5.71 MB) (5.71 MB)
Water sector planning and policy making in arid and semi-arid regions are challenging because many drivers and decision criteria require consideration. In this study, a multi-period mixed-integer linear programming model was developed to integrate and economically evaluate water management options for water supply in arid regions. The applicability of the proposed approach was demonstrated through a case study in the Emirate of Abu Dhabi (EAD), United Arab Emirates. The model was programmed in general algebraic modeling system (GAMS) and solved using the Cplex solver. The model determined the optimal economic and environmental costs, capacity expansion of treatment plants and water transmission systems, and other environmental aspects including the carbon footprint and brine discharge. Results show that the capacity contribution of reverse osmosis for desalination is expected to increase from 5.1% in 2021 to 18.1% in 2050. Based on the model's results for the case study, it was concluded that even with moderate consideration of environmental aspects, desalination plants in the EAD need a major technology transformation from thermal desalination to reverse osmosis The proposed model is proved to be effective for integrated water resources management and infrastructure planning in the EAD, and has the potential for effective application in other arid or semi-arid countries.
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