Effects of Climate Change on the Potential of Water Harvesting from Air Humidity Under RCP4.5 and RCP8.5 Scenarios

Document Type : Original Article

Authors

1 Department of Water Engineering, Imam Khomeini International University, Qazvin, Iran

2 Water Engineering Dept./ Imam Khomeini International University, Qazvin, Iran

3 3. PhD student of Irrigation and Drainage, Department of Water Engineering, Faculty of Agriculture and Natural Resources, Imam Khomeini International University, Qazvin, Iran. E-mail: zahra73.partoviii@gmail.com, 09198483943.

10.30467/nivar.2023.417155.1264

Abstract

Extracting water from air humidity as one of the new and sustainable methods for providing water resources in areas with a lack of natural water resources and also in the conditions of drought is of great importance. Considering the influence of the amount of water that can be extracted from air humidity on changes in meteorological variables such as air temperature, wind speed and air humidity, therefore the potential of water extraction from air humidity can be strongly affected by climate changes. Therefore, the current research has been carried out with the aim of investigating the potential changes of water extraction from air humidity under RCP4.5 and RCP8.5 scenarios from the fifth climate change report. The results in the base period showed that the climate models have a suitable efficiency for investigating the potential of water extraction from air humidity, so that the average correlation index at the level of study stations is more than 0.67 and the value of the RMSE error index is 1.83 liters per square meter in The day is limited to In addition, the monitoring of water extraction conditions from air humidity under climate scenarios in the coming periods indicates the existence of an increasing trend at the 95% confidence level in the amount of water that can be extracted from air humidity, such as the value of Menkendall's non-parametric test under RCP4.5 and RCP8.5 scenarios. In the periods of 2026-2050 and 2076-2100, it is estimated to be more than 1.64. In general, based on the results, it was found that the northwest region of the study area has the greatest potential for the implementation of water extraction projects from air humidity. Therefore, due to the occurrence of global warming in recent years, the increase in water needs in different sectors and the consequent increase in pressure on the available water resources, the need to pay attention to this water source, planning and taking serious action for its use is felt more than ever. The results of the present research can be useful in planning for the sustainable management of water resources under the influence of global warming.
 

Keywords

Main Subjects


1.    Alizadeh, A., 2010. Principle of applied hydrology. Emam Reza University Press. (In Persian).
2.    Bani Habib, M. E., Asadi, M., and Ezzati Amini, M., 2017. Water extraction for agriculture in dry areas. University of Tehran. (In Persian).
3.    Brown, C. E., 1998. Coefficient of variation. In Applied Multivariate Statistics in Geohydrology and Related Sciences. Heidelberg: Springer.
4.    Gandhidasan, P., Abualhamayel, H. I., and Patel, F., 2018. Simplified Modeling and Analysis of the Fog Water Harvesting System in the Asir Region of the Kingdom of Saudi Arabia. Aerosol and Air Quality Research, 18, pp.200-213.
5.    Ghiasi, B., Kazeroni, H., and Hasanloo, H., 2022. Conventional technologies of harvesting from surface water resources. (In Persian).
6.    Giorgi, F., and Gutowski, W. J., 2016. Coordinated experiments for projections of regional climate change. Current Climate Change Reports, 2, pp.202–210.
7.    Hamed, A. M., Aly, A. A., and Zeidan, E.-S. B., 2011. Application of solar energy for recovery of water from atmospheric air in climatic zones of saudi arabia. Natural Resources, 2, pp.8–17. 
8.    Hyndman, R. J., and Koehler, A. B., 2006. Another look at measures of forecast accuracy. International Journal of Forecasting, 22(4), pp.679–688.
9.    IPCC. 2013. Climate change 2013: The physical science basis IPCC working group I contribution to AR5. Retrieved October 18.
10.    Jiang, R., Liang, J., Zhao, Y., Wang, H., Xie, J., Lu, X., and Li, F., 2021. Assessment of vegetation growth and drought conditions using satellite-based vegetation health indices in Jing-Jin-Ji region of China. Scientific Reports, 11(1), pp.1–18.
11.    KarimpourReihan, M., Alizadeh, M., and Kamalian, S., 2016. Selection of suitable sites for water harvesting from air humidity in Bushehr province using GIS. Quarterly of Geography & Regional Planning, 6(25), pp.43–51. (In Persian).
12.    Kendall, M. G., 1975. Rank Correlation Methods (4th Editio). London : Griffin. https://www.worldcat.org/title/rank-correlation-methods/oclc/3827024.
13.    Koohi, S., and Ramezani Etedali, H., 2022. Future meteorological drought conditions of southwestern Iran based on the NEX-GDDP climate dataset. Journal of Arid Land.
14.    Kumar, M., and Yadav, A., 2015. Experimental investigation of solar powered water production from atmospheric air by using composite desiccant material “CaCl2/saw wood.” Desalination, 367, pp.216–222. 
15.    Li, H.-J., Cheng, L., Sun, P., Li, F.-F., and Qiu, J., 2023. Potential analysis of atmospheric water harvesting technologies from the perspective of “Trading-in Energy for Water.” Water, 15.(878) 
16.    Mahmodi, P., Khaje Amiri Khaledi, C., and Salari Fanodi, M. R., 2016. Examining the feasibility of water harvesting from air humidity in the southern province of Sistan and Baluchistan. Journal of Soil and Water 
17.    Conservation, 23(2), pp.253–263. (In Persian).
18.    Mahmoudi, P., KhajehAmiriKhaledi, C., and SalariFanodi, M. R., 2016. Examining the feasibility of water harvesting from air humidity in the southern province of Sistan and Baluchestan. Journal of Water and Soil Conservation, 23(2). (In Persian).
19.    Maleki, H., SolaimaniMotlagh, M., Jaedaei, A., and Shater, S., 2013. Analysis of the precipitation and drought trend variations using Mann-Kendall and Sen Tests in Tehran province. Journal of meteorological Organization. 37(80-81), pp.43-54. (In Persian).
20.    Mann, H. B., 1945. Nonparametric tests against trend. Econometrica, 13(3), pp.245–259. 
21.    Mekonnen, M. M., and Hoekstra, A. Y., 2016. Four billion people facing severe water scarcity. Science Advances, 2(2). 
22.    Morichi, G., Calixto, L. B., and Zanelli, A., 2018. Novel applications for fog water harvesting. Journal of Geoscience and Environment Protection, 6(03).
23.    Mostafazadeh, R., and Mehri, S., 2018. Determination of the precipitation regime and the seasonality index variations in the central part of the Ardabil province. Watershed Management Research, 31(3), pp.28-39. (In Persian).
24.    Mousavi-Baygi, M., 2008. The implementation of fog water collection systems in northeast of Iran. International Journal of Pure and Applied Physics, 4(1), pp.13–21. (In Persian).
25.    Murray, F. W., 1967. On the computation of saturation vapour pressure. Journal of Applied Meteorology and Climatology, 6, pp.203–204. 
26.    Nascimento Prada, S., and Oliveira da Silva, M., 2001. Fog Precipitation on the Island of Madeira (Portugal). Environmental Geology, 41, pp.384–389.
27.    Nikandish, N., and Akbari Qamsari, H., 2019. Analysis of geomorphoclimatic factors in the creation of Manjil local   wind. Natural Geography Quarterly, 11(42), pp.125-140. (In Persian).
28.    Pearson, K., 1894. On the dissection of asymmetrical frequency curves. Philosophical Transactions of the Royal Society A, 185, pp.71–100. 
29.    Pearson, K., 1896. Mathematical contributions to the theory of evolution.–on a form of spurious correlation which may arise when indices are used in the measurement of organs. Proceedings of the Royal Society of London, 60, pp.489–498.
30.    Shi, W., Anderson, M. J., Tulkoff, J. B., Kennedy, B. S., and Boreyko, J. B., 2018. Fog harvesting with harps. ACS Applied Materials & Interfaces, 10(14), pp.11979–11986. 
31.    Solaimani, K., and Shokrian, F., 2020. Suitable site selection of fog water harvesting based-on RS data in upstream of vazrud watershed in Iran. Sari Agricultural Scineces and Natural Resources University, 11(21), pp.249–258. (In Persian).
32.    Song, Y. H., Chung, E. S., and Shiru, M. S., 2020. Uncertainty analysis of monthly precipitation in GCMs using multiple bias correction methods under different RCPs. Sustainability (Switzerland), 12(18). 
33.    Stanski, H. R., Wilson, L. J., and Burrows, W. R., 1989. Survey of common verification methods in meteorology (2nd ed.). World Meteorological Organization.
34.    UN-Water, T. I., 2006. Coping with water scarcity: a strategic issue and priority for system-wide action. In Water and Wastewater International (Vol. 22).
35.    Wang, Y., Danook, S. H., AL-bonsrulah, H. A. Z., and Veeman, D. F. W., 2022. A recent and systematic review on water extraction from the atmosphere for arid zones. Energies, 15.(2). 
36.    Xia, H., Zhuang, J., and Yu, D., 2013. Combining crowding estimation in objective and decision space with multiple selection and search strategies for multi-objective evolutionary .
37.    optimization. IEEE Transactions on Cybernetics, 44.(3)
38.    Yang, F. g., Cao, S.y., Liu, X.n. and Yang, K.j., 2008. Design of groundwater level monitoring network with ordinary kriging. Journal of Hydrodynamic Ser. B, 20(3), pp.339-346.
39.    Yousefi, B., and BoroomandNasab, S., 2015. Desalination using the condensation irrigation system, a case study of the research farm of Shahid Chamran University of Ahvaz. Water and Wastewater Consulting Engineers, 26(3), pp.127–133.
Volume 47, 122-123 - Serial Number 122
September 2023
Pages 63-81
  • Receive Date: 19 September 2023
  • Revise Date: 07 October 2023
  • Accept Date: 11 October 2023
  • First Publish Date: 11 October 2023