Spatio-temporal analysis of groundwater level in an arid area

被引：7

作者：

Alipour A. ^{[1
]}

Hashemi S. ^{[2
]}

Shokri S.B.S. ^{[3
]}

Moravej M. ^{[4
]}

机构：

[1] Political Geography Department, Imam Hossein University, Tehran

[2] Political Geography, Islamic Azad University, Science and Research Branch, Tehran

[3] School of Geology, University of Tehran, Tehran

[4] National Elite Foundation, No. 209, between Navab Str and Roudaki Str. Azadi Str., Tehran

来源：

International Journal of Water | 2018年 / 12卷 / 01期

关键词：

ADF test; Aquifer; Groundwater level; Sen innovative trend analysis method; Sistan and Balouchestan; Stationary tests; Sustainable development; Water efficiency; Water reuse;

D O I：

10.1504/IJW.2018.090185

中图分类号：

学科分类号：

摘要：

Sustainable management of precious groundwater resources is vital to growth, especially in arid areas which they heavily depend on. In this study, monthly groundwater level time series of 322 observation wells in Sistan and Balouchestan province of Iran in the period 2002 to 2012 were used as a measure of sustainable development. Results show that 95.6% of areas of the province aquifers are non-stationary. In addition, 5.5%, 13.7% and 80.8% of studied wells show no increasing and decreasing trend at 5% significance level. Spatial analysis reveals that the groundwater levels of 7.3%, 11.3% and 81.6% area of groundwater resources have increased, sustained or decreased, respectively. According to calculated slope of trends, the province has experienced -69.72 (MCM) decline in groundwater resources per year in past ten years. It means that sustainable development criteria were totally neglected. Increasing in water use efficiency in the agriculture sector by 6% and of water reuse by 78% will solve the issue. Copyright © 2018 Inderscience Enterprises Ltd.

引用

页码：66 / 81

页数：15

共 54 条

[21]

Kampata J.M., Parida B.P., Moalafhi D.B., Trend analysis of rainfall in the headstreams of the Zambezi River Basin in Zambia, Physics and Chemistry of the Earth, Parts A/B/C, 33, 8, pp. 621-625, (2008)

[22]

Karandish F., Salari S., Darzi-Naftchali A., Application of virtual water trade to evaluate cropping pattern in arid regions, Water Resources Management, 29, 11, pp. 4061-4074, (2015)

[23]

Kendall M.G., Rank Correlation Methods, (1948)

[24]

Ledvinka O., Lamacova A., Detection of field significant long-term monotonic trends in spring yields, Stochastic Environmental Research and Risk Assessment, 29, 5, pp. 1463-1484, (2015)

[25]

Machiwal D., Jha M.K., Hydrologic Time Series Analysis: Theory and Practice, (2012)

[26]

Mack T.J., Chornack M.P., Taher M.R., Groundwater-level trends and implications for sustainable water use in the Kabul Basin, Afghanistan, Environment Systems and Decisions, 33, 3, pp. 457-467, (2013)

[27]

Mann H.B., Nonparametric tests against trend, Econometrica, 13, 3, pp. 245-259, (1945)

[28]

Moghaddamnia A., Gousheh M.G., Piri J., Amin S., Han D., Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques, Advances in Water Resources, 32, 1, pp. 88-97, (2009)

[29]

Moravej M., Investigating climate change using AK stationarity test in the Lake Urmia basin, Int. J. Hydrology Science and Technology, 6, 4, pp. 382-407, (2016)

[30]

Moravej M., Khalili K., Hydrological time series analysis and modelling using statistical tests and linear time series models (case study: West Azerbaijan province of Iran), International Journal of Hydrology Science and Technology, 5, 4, pp. 349-371, (2015)

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