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1 Liu, Z.; Huang, Y.; Liu, T.; Li, J.; Xing, W.; Akmalov, S.; Peng, J.; Pan, X.; Guo, C.; Duan, Y. 2020. Water balance analysis based on a quantitative evapotranspiration inversion in the Nukus Irrigation area, Lower Amu River Basin. Remote Sensing, 12(14):2317. [doi: https://doi.org/10.3390/rs12142317]
Water balance ; Evapotranspiration ; River basins ; Irrigation water ; Water use ; Energy balance ; Groundwater table ; Groundwater recharge ; Remote sensing ; Precipitation ; Land cover ; Land use ; Cultivated land ; Vegetation ; Models / Uzbekistan / Aral Sea / Lower Amu Darya River Basin / Nukus Irrigation Area
(Location: IWMI HQ Call no: e-copy only Record No: H049918)
(6.45 MB) (6.45 MB)
Human activities are mainly responsible for the Aral Sea crisis, and excessive farmland expansion and unreasonable irrigation regimes are the main manifestations. The conflicting needs of agricultural water consumption and ecological water demand of the Aral Sea are increasingly prominent. However, the quantitative relationship among the water balance elements in the oasis located in the lower reaches of the Amu Darya River Basin and their impact on the retreat of the Aral Sea remain unclear. Therefore, this study focused on the water consumption of the Nukus irrigation area in the delta of the Amu Darya River and analyzed the water balance variations and their impacts on the Aral Sea. The surface energy balance algorithm for land (SEBAL) was employed to retrieve daily and seasonal evapotranspiration (ET) levels from 1992 to 2018, and a water balance equation was established based on the results of a remote sensing evapotranspiration inversion. The results indicated that the actual evapotranspiration (ETa) simulated by the SEBAL model matched the crop evapotranspiration (ETc) calculated by the Penman–Monteith method well, and the correlation coefficients between the two ETa sources were greater than 0.8. The total ETa levels in the growing seasons decreased from 1992 to 2005 and increased from 2005 to 2015, which is consistent with the changes in the cultivated land area and inflows from the Amu Darya River. In 2000, 2005 and 2010, the groundwater recharge volumes into the Aral Sea during the growing season were 6.74×109 m3, 1.56×109 m3 and 8.40×109 m3; respectively; in the dry year of 2012, regional ET exceeded the river inflow, and 2.36×109 m3 of groundwater was extracted to supplement the shortage of irrigation water. There is a significant two-year lag correlation between the groundwater level and the area of the southern Aral Sea. This study can provide useful information for water resources management in the Aral Sea region
2 Shi, H.; Luo, G.; Zheng, H.; Chen, C.; Hellwich, O.; Bai, J.; Liu, T.; Liu, S.; Xue, J.; Cai, P.; He, H.; Ochege, F. U.; Van de Voorde, T.; de Maeyer, P. 2021. A novel causal structure-based framework for comparing a basin-wide water-energy-food-ecology nexus applied to the data-limited Amu Darya and Syr Darya river basins. Hydrology and Earth System Sciences, 25(2):901-925. [doi: https://doi.org/10.5194/hess-25-901-2021]
Water resources ; Energy ; Food security ; Ecology ; Nexus ; River basins ; Downstream ; Upstream ; Reservoirs ; International waters ; Water use ; Conflicts ; Agricultural production ; Models / Central Asia / Aral Sea Basin / Amu Darya River Basin / Syr Darya River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050537)
https://hess.copernicus.org/articles/25/901/2021/hess-25-901-2021.pdf
https://vlibrary.iwmi.org/pdf/H050537.pdf
https://vlibrary.iwmi.org/pdf/H050537.pdf
(17.90 MB) (17.9 MB)
The previous comparative studies on watersheds were mostly based on the comparison of dispersive characteristics, which lacked systemicity and causality. We proposed a causal structure-based framework for basin comparison based on the Bayesian network (BN) and focus on the basin-scale water–energy–food–ecology (WEFE) nexus. We applied it to the Syr Darya River basin (SDB) and the Amu Darya River basin (ADB), of which poor water management caused the Aral Sea disaster. The causality of the nexus was effectively compared and universality of this framework was discussed. In terms of changes in the nexus, the sensitive factor for the water supplied to the Aral Sea changed from the agricultural development during the Soviet Union period to the disputes in the WEFE nexus after the disintegration. The water–energy contradiction of the SDB is more severe than that of the ADB, partly due to the higher upstream reservoir interception capacity. It further made management of the winter surplus water downstream of the SDB more controversial. Due to this, the water–food–ecology conflict between downstream countries may escalate and turn into a long-term chronic problem. Reducing water inflow to depressions and improving the planting structure prove beneficial to the Aral Sea ecology, and this effect of the SDB is more significant. The construction of reservoirs on the Panj River of the upstream ADB should be cautious to avoid an intense water–energy conflict such as the SDB's. It is also necessary to promote the water-saving drip irrigation and to strengthen the cooperation.
3 Umugwaneza, A.; Chen, X.; Liu, T.; Mind’je, R.; Uwineza, A.; Kayumba, P. M.; Uwamahoro, S.; Umuhoza, J.; Gasirabo, A.; Maniraho, A. P. 2022. Integrating a GIS-based approach and a SWAT model to identify potential suitable sites for rainwater harvesting in Rwanda. AQUA - Water Infrastructure, Ecosystems and Society, 71(3):415-432. [doi: https://doi.org/10.2166/aqua.2022.111]
Rainwater harvesting ; Geographical information systems ; Catchment areas ; Decision making ; Infrastructure ; Ponds ; Dams ; Runoff ; Sediment yield ; Soil erosion ; Soil loss ; Climate change ; Land cover ; Land use ; Models ; Calibration / Rwanda / Nyabugogo Catchment
(Location: IWMI HQ Call no: e-copy only Record No: H050951)
https://iwaponline.com/aqua/article-pdf/71/3/415/1026940/jws0710415.pdf
https://vlibrary.iwmi.org/pdf/H050951.pdf
https://vlibrary.iwmi.org/pdf/H050951.pdf
(1.13 MB) (1.13 MB)
The increasing demand of water results in the overexploitation of water resources. This situation calls for more effective water management alternatives including rainwater harvesting (RWH) systems. Due to the lack of biophysical data and infrastructure, the identification of suitable sites for various RWH systems is a challenging issue. However, integrating geospatial analysis and modeling approaches has become a promising tool to identify suitable sites for RWH. Thus, this study aimed at identifying suitable sites for RWH in the Nyabugogo catchment located in Rwanda by integrating a geo-information-based multi-criteria decision-making (MCDM) and SWAT (Soil and Water Assessment Tool) model. Moreover, the sediment yield was compared to the soil erosion evaluated using the Revised Universal Soil Loss Equation (RUSLE) owing to the lack of sediment concentration measured data. The results revealed that about 4.8 and 16.35% of the study area are classified as highly suitable and suitable areas for RWH, respectively. Around 6% of the study area (98.5 km2) was found to be suitable for farm ponds, whereas 1.6% (26.1 km2) suitable for check dams, and 25.9% (423 km2) suitable for bench terraces. Among 50 proposed sites for the RWH structures, 29 are located in the most suitable area for RWH. The results implicated that the surface runoff, sediment yield, and topography are essential factors in identifying the suitability of RWH areas. It is concluded that the integrated geospatial and MCDM techniques provide a useful and efficient method for planning RWH at a basin scale in the study area.
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