Hydrological assessment and management implications for the ancient Nabataean flood control system in Petra, Jordan

Abdelal, Qasem; Al‐Rawabdeh, Abdulla; Qudah, Khaldoon Al; Hamarneh, Catreena; Abu-Jaber, Nizar

doi:10.1016/j.jhydrol.2021.126583

Cited by 9 publications

(8 citation statements)

References 19 publications

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“…The SCS curve number (SC) approach, which estimates excess precipitation as a function of soil cover, cumulative precipitation, antecedent moisture condition, and land use [41], is another straightforward and well-liked loss method. Curve numbers (C.N) and starting abstraction are the only two factors for this approach that need to be estimated [40]. The area's various land use classifications were considered while calculating the curve number as a weighted value [38].…”

Section: Scs Curve Number (Sc) Loss Methodsmentioning

confidence: 99%

“…Peak discharges for the thunderstorm on 25 October 2018 were 102.94, 126.66, and 146.7 m 3 /s for sub-basin 1, 2, and 3, respectively. Abdelal et al [40] studied hydrological evaluation and flood control system management implications. A paucity of runoff measurements and low-resolution rainfall and topography data in Petra, Jordan, hampered the study.…”

Section: Literature Review Related To Flooding In Jordanmentioning

confidence: 99%

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Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan

2023

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The consistency of hydrological process modeling depends on reliable parameters and available long-term gauge data, which are frequently restricted within the Dead Sea/Jordan regions. This paper proposes a novel method of utilizing six satellite-based and reanalysis precipitation datasets, which are assessed, evaluated, and corrected, particularly for the cases of ungauged basins and poorly monitored regions, for the first time. Due to natural processes, catchments fluctuate dramatically annually and seasonally, making this a challenge. This variability, which is significantly impacted by topo-geomorphological and climatic variables within the basins themselves, leads to increased uncertainty in models and significant restrictions in terms of runoff forecasting. However, quality evaluations and bias corrections should be conducted before the application of satellite data. Moreover, the hydrological HEC-HMS model was utilized to predict the runoff under different loss methods. Furthermore, this loss method was used with an integrated model that might be efficiently employed when designing hydraulic structures requiring high reliability in predicting peak flows. The models’ performance was evaluated using R-squared (R2), the root mean square error (RMSE), the mean absolute error (MAE), and Nash–Sutcliffe efficiency (NSE). In addition, these statistical metrics were implemented to quantitatively evaluate the data quality based on the observed data collected between 2015 and 2020. The results show that AgERA5 exhibited better agreement with the gauge precipitation data than other reanalysis precipitation and satellite-based datasets. The results demonstrate that the data quality of these products could be affected by observational bias, the spatial scale, and the retrieval method. Moreover, the SC loss method demonstrated satisfactory values for the R2, RMSE, NSE, and bias compared to the IC and GA loss, indicating its effectiveness in predicting peak flows and designing hydraulic structures that require high reliability. Overall, the study suggests that AgERA5 can provide better precipitation estimates for hydrological modeling in the Dead Sea region in Jordan. Moreover, integrating the SC, IC, and GA loss methods in hydraulic structure design can enhance prediction accuracy and reliability.

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Section: Scs Curve Number (Sc) Loss Methodsmentioning

confidence: 99%

Section: Literature Review Related To Flooding In Jordanmentioning

confidence: 99%

Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan

2023

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“…Weathering of organic matter from various domestic activities, agriculture, animal husbandry, and land use around the lake contribute to changes in BOD and COD parameter values [26,27]. An increase in non-point sources originating from urbanization caused by population growth and changes in urban land cover around the lake also contributed to the rise in BOD and COD [28,29]. In general, it can be said that this parameter is related to anthropogenic activity because it is close to residential areas with lakes [3].…”

Section: Sulfate Phosphate Biological Oxygen Demand and Chemical Oxyg...mentioning

confidence: 99%

Study of Water Quality Status of <i>Dendam Tak Sudah</i> Lake in Bengkulu City, Indonesia: Using CCME Index

Khalik¹,

Sapei²,

Hariyadi³

et al. 2023

Pol. J. Environ. Stud.

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Dendam Tak Sudah Lake (DDTS), located in Bengkulu City, is the largest lake that has a vital role in the hydrological system of the area. Along with economic and regional development, this lake faces threats, especially the decline in water quality. This study aimed to determine lake water parameter characteristics and its quality status. The study used the lake water dataset monitoring obtained from the Environmental Service of Bengkulu City, which measured four observation points from May 2017 to March 2019. There were 17 parameters observed in this study and compared with Class I of lake water quality standards based on Government of Indonesia Regulation Number 22 Year 2021. The lake water quality status was analyzed using the water quality index of CCME. The analysis results show that the lake water quality index ranges between 44.64-56.72, so the status of lake water is included in the poor and marginal categories. Furthermore, the parameters that still meet the lake water quality standards are: temperature, TDS, TSS, pH, Fe, Sulfate, Mn, Cu, DO, Oil and greases, and detergent. In contrast, the remaining 6 parameters were detected to exceed the lake water quality standard: Zn, BOD, COD, Phosphate, total coliform, and fecal coliform.

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“…Avesani D [7] presented a comparative assessment of revenues provided by short-term optimizations driven by two econometric models, which may be beneficial for hydropower companies to enhance the expected revenues from storage hydropower systems, especially those characterized by large storage capacity. Regarding flood control scheduling [8][9][10], reservoir flood control scheduling has the characteristics of being multiconstraint, high-dimension, nonlinearity, and difficult to solve [11]. The overall approach has evolved from one or a few reservoirs securing a single flood protection object to multi-objective refined and comprehensive scheduling of a large group of reservoirs for multiple flood protection objects across a whole basin, including optimal scheduling modeling and solving, regular scheduling rule extraction, and flood risk assessments.…”

Section: Introductionmentioning

confidence: 99%

Joint Optimal Use of Sluices of a Group of Cascade Hydropower Stations under High-Intensity Peak Shaving and Frequency Regulation

Mou,

Qu,

et al. 2024

Water

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With the large-scale development and grid connection of renewable energy, hydropower faces more intense and frequent peak shaving and frequency regulation, giving rise to water level fluctuations and frequently forced sluice adjustments at hydropower stations. This paper proposes a model that combines “offline calculation” and “online search”. First, feasible sluice opening combinations for different water levels at each hydropower station are calculated offline, and a sluice operation strategy table is constructed. Subsequently, an optimal sluice operation strategy is searched online according to the real-time water level and various regulatory requirements. As an example, we select three hydropower stations in the middle reach of the Dadu River in China, namely, Pubugou, Shenxigou, and Zhentouba. The results show that the total number of adjustments of the sluices of the cascade hydropower stations was reduced from 1195 to 675, a reduction of 43.5%, and the leading hydropower station, Pubugou, met water level control requirements, whereas the fluctuations in the water level of the two downstream daily regulating hydropower stations, Shenxigou and Zhentouba, were reduced by 1.38 m and 0.55 m, respectively. The results indicate that the sluices of hydropower stations were optimally used under high-intensity peak shaving and frequency regulation.

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Hydrological assessment and management implications for the ancient Nabataean flood control system in Petra, Jordan

Cited by 9 publications

References 19 publications

Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan

Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan

Study of Water Quality Status of <i>Dendam Tak Sudah</i> Lake in Bengkulu City, Indonesia: Using CCME Index

Joint Optimal Use of Sluices of a Group of Cascade Hydropower Stations under High-Intensity Peak Shaving and Frequency Regulation

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