Estimating the reliability of a rainwater catchment system using the output data of general circulation models for the future period (case study: Birjand City, Iran)

Jafarzadeh, Ahmad; Pourreza‐Bilondi, Mohsen; Afshar, Amirhosein Aghakhani; Khashei-Siuki, Abbas; Yaghoobzadeh, Mostafa

doi:10.1007/s00704-018-2714-z

Cited by 7 publications

(3 citation statements)

References 42 publications

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“…Regardless of the reasons mentioned that led to the choice of monthly timesteps, it should be noted that these timesteps have been used commonly in prior research [22,27,[30][31][32][33] and that EN 16941-1 refers to the use of daily or annual time steps in the dimensioning of tanks, depending on the characteristics of the rainwater demand, the desired detail in the dimensioning of the tank, etc., while not also rejecting the use of monthly timesteps.…”

Section: Rainwater Availabilitymentioning

confidence: 99%

Rainwater Harvesting for Irrigation of Tennis Courts: A Case Study

Pimentel-Rodrigues

Silva-Afonso

2022

Water

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It has become evident that, during this century, climate change will continue, affecting all regions of the planet. The expected impacts over the next few decades may differ from region to region, with some areas becoming humid and others drier. In regions such as the Mediterranean basin, the main expected impacts of climate change will be prolonged droughts and an increase in the intensity and frequency of heavy rains. Measures of mitigation and adaptation are particularly important in urban environments, where more than half of the population lives, and rainwater harvesting systems (RWHS) are considered to be a very suitable solution to these problems. However, the published studies have mainly focussed on buildings, with very limited references to the interest of its application in large urban infrastructure. Based on consumption and precipitation data, this article presents a study on the implementation of an RWHS in a large-scale sports infrastructure located in the city of Cascais (Portugal) intended for the practice of tennis, with 12 brick dust fields, some of them covered. The average annual consumption of potable water for watering the tennis courts is 5500 m3, and the results show that the RWHS can reduce this consumption by >50%, in addition to other expected benefits, such as the known effect of these systems in reducing flood peaks in the area.

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Section: Rainwater Availabilitymentioning

confidence: 99%

Rainwater Harvesting for Irrigation of Tennis Courts: A Case Study

Pimentel-Rodrigues

Silva-Afonso

2022

Water

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“…Then, adjusted simulations are downscaled to a finer-resolution spatial scale utilizing a linear interpolation method. The downscaling method calculates the values among adjusted data points to match smaller-scale resolution using surrounding data point values and linear relationships on the distance among large-and smallscale historical data point locations (Jafarzadeh et al, 2018). The monthly precipitation value of GCMs were obtained for historical periods from 1960 to 2005 and future periods from 2020 to 2100 from the CMIP5 Climate and Hydrology Projections website downscaled by the BCSD approach (Schwalm et al, 2013).…”

Section: Downscalingmentioning

confidence: 99%

Selecting the best general circulation model and historical period to determine the effects of climate change on precipitation

Yaghoobzadeh¹

2022

Időjárás

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Assessing the effects of climate change is a key component of the sustainable management of water resources and food security. In this paper, general circulation models (GCM) were evaluated using historical information for Birjand synoptic station, Iran. Modeling was performed using 35 models of the Fifth Climate Change Report for 27 historical periods. The results showed that longer annual periods are the most suitable periods for hydrological simulation when data are available. Therefore, the periods of 1960-1990 may be the most appropriate periods due to the adaptation to the observation data. To estimate rainfall, periods with more years showed a more accurate forecast of the future. Moreover, the results showed more changes in the RCP 8.5 scenario than in the RCP 4.5 scenario. According to the comparison of models, the NorESM1-M model with a root mean square error (RMSE) of 0.091 and the GISS-E2-R model with a low percent bias (PBIAS) can be an appropriate model for estimating rainfall.

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“…The bias-corrected spatial disaggregation (BCSD) method was used to downscale the MIROC-ESM model data. Details of this method have been presented by Afshar et al (2018) and Jafarzadeh et al (2019). After downscaling the climate data and predicting the future land-use maps by LCM, appropriate climatic and land-use data were prepared for each time period.…”

Section: Description Of the Scenarios For Climate And Lulc Changesmentioning

confidence: 99%

Potential influence of climate and land-use changes on green water security in a semi-arid catchment

Abbasi

Amirabadizadeh

Afshar

et al. 2021

Journal of Water and Climate Change

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Temporal and spatial changes of green water (GW) security due to climate and land-use/land-cover (LULC) changes can be used to make the best decision for sustainable GW management. In this study, simultaneous effects of climate and LULC changes on water resources in Kashafrood Basin were evaluated by Soil and Water Assessment Tool (SWAT). Land change modeler was set up to monitor LULC, assess changes and make predictions. The MIROC-ESM model derived from Coupled Model Intercomparison Project Phase 5 under two representative concentration pathway (RCP) emission scenarios RCP2.6 and RCP8.5 was applied to evaluate the effects of climate change. Two indices of GW-Scarcity and GW-Vulnerability, representing GW-Security, were quantified using the GW-Footprint concept in Kashafrood Basin. The results show that the annual average of blue water was predicted to increase by 142–350%, and GW storage and the annual averages of GW flow were predicted to decrease by 12–65 and 8–20%, respectively, depending on emission scenarios and time. The GW-Security estimates in the entire basin suggest a better condition in the future by indicating 24–45 and 16–52% decreases in GW-Scarcity and GW-Vulnerability, respectively, depending on emission scenarios and time.

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Estimating the reliability of a rainwater catchment system using the output data of general circulation models for the future period (case study: Birjand City, Iran)

Cited by 7 publications

References 42 publications

Rainwater Harvesting for Irrigation of Tennis Courts: A Case Study

Rainwater Harvesting for Irrigation of Tennis Courts: A Case Study

Selecting the best general circulation model and historical period to determine the effects of climate change on precipitation

Potential influence of climate and land-use changes on green water security in a semi-arid catchment

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