Evaluating the resilience of water resources management scenarios using the evidential reasoning approach: The Zarrinehrud river basin experience

Behboudian, Massoud; Kerachian, Reza

doi:10.1016/j.jenvman.2021.112025

Cited by 33 publications

(8 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Inflow records from 1980 to 2020 for five sub-basins were obtained from the SWAT modeling results. SWAT, which has been used as the MODSIM-DSS input data in many studies [14][15][16]30,31], is a long-term rainfall runoff watershed model developed by the Agricultural Research Service of the USDA-ARS to estimate the long-term runoff [32][33][34][35][36][37].…”

Section: Swat Modelingmentioning

confidence: 99%

Evaluation of Agricultural Water Supply and Selection of Deficient Districts in Yeongsan River Basin of South Korea Considering Supply Priority

Kim

et al. 2022

Water

View full text Add to dashboard Cite

Considering the priority of water supply, agricultural water supply capacity downstream of the Yeongsan River Basin was evaluated in this study. The water balance was analyzed using the Please check all author names carefullyMODSIM-decision support system (MODSIM-DSS) to evaluate the agricultural water supply capacity. MODSIM-DSS can also be used to analyze the watershed demand status and agricultural water supply facilities. In this study, the watershed inflow and agricultural reservoir inflow (supply) data for each watershed were obtained using the SWAT outflow data. SWAT was calibrated and validated using 16-years (2005–2020) of daily streamflow data from one water level station and two weirs, by considering water withdrawal and return flows from agricultural, domestic, and industrial water use. The coefficient of determination (R2) was analyzed as 0.50 to 0.80 at three stations. Then, water balance analyses were performed for 41 years (1980–2020) by applying the SWAT outflow results to MODSIM-DSS. The results showed that agricultural water shortages of 517.8 × 106 m3, 520.0 × 106 m3, 579.8 × 106 m3, and 517.5 × 106 m3, occurred in 1992, 1994, 1995, and 2015, respectively. The efficiencies of agricultural water supply for these years were 58.2%, 58.0%, 53.2%, and 58.2%, respectively, which were lower than the 40-year average of 84.5%.

show abstract

Section: Swat Modelingmentioning

confidence: 99%

Evaluation of Agricultural Water Supply and Selection of Deficient Districts in Yeongsan River Basin of South Korea Considering Supply Priority

Kim

et al. 2022

Water

View full text Add to dashboard Cite

show abstract

“…Previous studies were widely practiced around the world and gained great achievements. However, the applicability and efficiency of these methodologies were limited to different water quality standards and the heterogeneity of basin ecosystems (Behboudian and Kerachian 2021). Besides, the concept of resilience highlights how complex dynamical systems maintain their functions well with their surrounding conditions changing (Sterk et al 2013).…”

Section: Introductionmentioning

confidence: 99%

A framework to identify critical dynamics of water quality for diagnosing river basin ecosystem resilience and management

Wang²,

Lun³

et al. 2023

Environ. Res. Lett.

View full text Add to dashboard Cite

This study proposed a novel framework to identify critical water quality dynamics as early warning signals for diagnosing changes in the resilience of river basin ecosystems. We established empirical linkages between the theoretical background of three resilience capacities (robustness, adaptability and transformability) and water quality dynamics. Then, the processes of resilience degradation and their risk transfer or accumulation have been identified based on the shifts among different states. The methods of time-domain analysis and frequency-domain analysis were integrated into this framework, aiming to identify gradual and transient responses of water quality and its periodic fluctuation characteristics at multiple temporal scales. The time-domain analysis methods obtained the trend, cumulative periodic fluctuation of water quality by extracting the key characteristic parameters from the time-series data. The wavelet transform methods were introduced into the frequency-domain analysis to reveal the water quality fluctuation patterns at specific temporal scales. We tested the proposed framework in a typical agriculture-intensive watershed in eastern China. The results showed that this framework can be effectively used to identify three resilience states of river basin ecosystems. The degraded resilience regions were mainly distributed in the downstream area, which was influenced by their specific land use/cover and different agricultural soil health conditions. Particularly, urban sewage discharge was the main cause of periodic fluctuation in water quality time series at multiple high-frequency scales. The theoretical background of resilience capacities was elaborated in non-equilibrium dynamics before resilience degradation. Thus, this novel framework could reveal the pollution processes and driving mechanisms in different river reaches, and it also can provide adaptive management suggestions according to resilience dynamics traits.

show abstract

“…By combining the experimental design and Monte Carlo simulation, the prediction uncertainty of the water quality was evaluated [12]. A quantitative method considering water resource distribution was proposed to study the relationship between climate change and water demand [13]. A new demand forecasting method combining machine learning and statistical methods was proposed to give short-term forecasts for the water demand of British households [14].…”

Section: Introductionmentioning

confidence: 99%

Forecasting Water Consumption in the Yangtze River Delta Based on Deformable Cumulative Multivariable Grey Model

Qiao

Yang

2023

Axioms

View full text Add to dashboard Cite

The intensified contradiction between water resources and social development has restricted the development of the Yangtze River Delta. Due to the importance of water consumption in relieving this contradiction, this paper proposes a novel cumulative multivariable grey model with a high performance to predict the water consumption. Firstly, the grey correlation analysis is applied to study the influencing factors, and then the DGM(1,N) with deformable accumulation (DDGM(1,N) model) is constructed and used to predict the water consumption. The results show that the resident population has a significant impact on the water consumption, and the performance of the DDGM(1,N) model is better than the other two grey models. Secondly, the proposed novel grey model is applied to predict the water consumption in 17 cities in the Yangtze River Delta, and the predicted water consumption in Zhejiang and Shanghai indicates a downward trend, while the predicated water consumption in some cities of the Anhui Province presents an upward trend, such as Chizhou, Chuzhou, Wuhu and Tongling. Finally, some policy implications are provided that correspond to the population growth and three major industries in different situations. This paper enriches the research method and prediction analysis used for the water consumption, and the findings can provide some decision-making references for water resources management.

show abstract

Evaluating the resilience of water resources management scenarios using the evidential reasoning approach: The Zarrinehrud river basin experience

Cited by 33 publications

References 42 publications

Evaluation of Agricultural Water Supply and Selection of Deficient Districts in Yeongsan River Basin of South Korea Considering Supply Priority

Evaluation of Agricultural Water Supply and Selection of Deficient Districts in Yeongsan River Basin of South Korea Considering Supply Priority

A framework to identify critical dynamics of water quality for diagnosing river basin ecosystem resilience and management

Forecasting Water Consumption in the Yangtze River Delta Based on Deformable Cumulative Multivariable Grey Model

Contact Info

Product

Resources

About