| Records |
| Author |
Sardo, M.S.; Jalalkamali, N. |
| Title |
A system dynamic approach for reservoir impact assessment on groundwater aquifer considering climate change scenario |
Type |
Journal Article |
| Year |
2022 |
Publication  |
Groundwater for Sustainable Development |
Abbreviated Journal |
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| Volume |
17 |
Issue |
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Pages |
100754 |
| Keywords |
System dynamics, Water resources management, Vensim, Management scenarios |
| Abstract |
With its arid and semi-arid climate, Iran claims about one-third of the world’s average annual precipitation. Accordingly, the present study investigated whether an effective water resources management (WRM) strategy (both groundwater and reservoir resources) could reduce groundwater drawdown while simultaneously providing secure enough water for preservation of agricultural activities and rural settlements. For this purpose, a comprehensive system dynamics (SD) model incorporating reservoir, surface-water, and groundwater resources was developed. Then, the model was implemented for the Nesa plain in Bam County, Iran, as an example. In this plain, the construction of a dam to supply drinking water to the cities of Bam and the Bam Industrial Zone had devastated the environment and human communities in the downstream areas, leading to the depopulation of as many as 104 villages in the Bam region. The results of the SD model revealed that the artificial recharge of the plain groundwater aquifer along with the management of the operation of the wells and increasing productivity would be very effective. In order to estimate future precipitation data, the SDSM statistical exponential microscale model was used to microscale the large CanESM2 scale model under two scenarios of RCP4.5 and RCP8.5. The continuation of the current trend of the groundwater resources in the plain during the next 20 years will also cause a drop in water level of 8.3 m compared with the existing situation and a reduction of 41 m compared with the long-term average of 1980. Based on this modeling effort, upon releasing 60% of river flow, surplus to downstream demand, for recharging aquifer through artificial recharge projects, the rate of water table fall will decline significantly over a 20-year period and the amount of negative aquifer water balance would most likely improve from 65.5 to 35.17 million cubic meters annually. |
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2352-801x |
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THL @ christoph.kuells @ Shahrokhisardo2022100754 |
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266 |
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Abadi, B.; Sadeghfam, S.; Ehsanitabar, A.; Nadiri, A.A. |
| Title |
Investigating socio-economic and hydrological sustainability of ancient Qanat water systems in arid regions of central Iran |
Type |
Journal Article |
| Year |
2023 |
Publication |
Groundwater for Sustainable Development |
Abbreviated Journal |
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23 |
Issue |
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Pages |
100988 |
| Keywords |
Ancient irrigation, QWSs, GIS, Indigenous knowledge, Maintenance, Distribution |
| Abstract |
The Qanat water systems (QWSs), the ancient water engineering systems in Iran belonging to the very distant past, have harvested groundwater from drainages to convey it toward the surface with no use of energy. The present article highlights the socio-economic aspects of the sustainability of the QWSs and gives a satisfactory explanation of why the QWSs should be restored. In doing so, we subscribe to the view that indigenous and scientific knowledge should be incorporated. The former serves to tackle the restoration of the QWSs, the latter contributes to the distribution of water into the farmlands as efficiently as possible. Measured by (a) resilience, (b) reliability, (c) vulnerability, and (d) sustainability, the GIS technique made clear the performance of the QWSs has, therefore, the worst condition observed in terms of resiliency; the best condition observed concerning the vulnerability. Moreover, the QWSs have intermediate performance in terms of reliability. Finally, the sustainability index (SI) classifies the QWSs into different bands, which provide explicit support to take priority of the selection of the QWSs for restoration. In conclusion, a theoretical framework has been drawn to keep the QWSs sustainable. |
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2352-801x |
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THL @ christoph.kuells @ Abadi2023100988 |
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268 |
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Klock, H.; Külls, C.; Udluft, P. |
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Estimating recharge values using hydrochemical and geological data: a case study from the |
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Conference Article |
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2001 |
Publication |
Impact of Human Activity on Groundwater Dynamics: Proceedings of an International Symposium (Symposium S3) Held During the Sixth Scientific Assembly of the International Association of Hydrological Sciences (IAHS) at Maastricht, The Netherlands, from 18 t |
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269 |
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25 |
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International Assn of Hydrological Sciences |
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THL @ christoph.kuells @ Klock2001estimating |
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60 |
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Demuth, S.; Külls, C. |
| Title |
Probability analysis and regional aspects of droughts in southern Germany |
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Journal Article |
| Year |
1997 |
Publication |
Sustainability of Water Resources under Increasing Uncertainty |
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240 |
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97 |
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Iahs |
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THL @ christoph.kuells @ Demuth1997probability |
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35 |
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Eliades, M.; Bruggeman, A.; Djuma, H.; Christofi, C.; Kuells, C. |
| Title |
Quantifying Evapotranspiration and Drainage Losses in a Semi-Arid Nectarine (Prunus persica var. nucipersica) Field with a Dynamic Crop Coefficient (Kc) Derived from Leaf Area Index Measurements |
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Journal Article |
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2022 |
Publication |
Water |
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14 |
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5 |
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Quantifying evapotranspiration and drainage losses is essential for improving irrigation efficiency. The FAO-56 is the most popular method for computing crop evapotranspiration. There is, however, a need for locally derived crop coefficients (Kc) with a high temporal resolution to reduce errors in the water balance. The aim of this paper is to introduce a dynamic Kc approach, based on Leaf Area Index (LAI) observations, for improving water balance computations. Soil moisture and meteorological data were collected in a terraced nectarine (Prunus persica var. nucipersica) orchard in Cyprus, from 22 March 2019 to 18 November 2021. The Kc was derived as a function of the canopy cover fraction (c), from biweekly in situ LAI measurements. The use of a dynamic Kc resulted in Kc estimates with a bias of 17 mm and a mean absolute error of 0.8 mm. Evapotranspiration (ET) ranged from 41% of the rainfall (P) and irrigation (I) in the wet year (2019) to 57% of P + I in the dry year (2021). Drainage losses from irrigation (DR_I) were 44% of the total irrigation. The irrigation efficiency in the nectarine field could be improved by reducing irrigation amounts and increasing the irrigation frequency. Future studies should focus on improving the dynamic Kc approach by linking LAI field observations with remote sensing observations and by adding ground cover observations. |
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2073-4441 |
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no |
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THL @ christoph.kuells @ Marinos2022 |
Serial |
82 |
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