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

[31]

Moravej M., Khalili K., Behmanesh J., Forecasting Lake Urmia water level using linear time series models, Journal of Water and Soil Conservation Researches, 22, 5, pp. 287-296, (2014)

[32]

Moravej M., Khalili K., Behmanesh J., Investigation of relationship between hydrologic processes of precipitation, evaporation and stream flow using linear time series (case study: Western Basins of Lake Urmia), Journal of Water and Soil, 29, 1, pp. 85-101, (2015)

[33]

Moravej M., Khalili K., Behmanesh J., Application of modified KPSS test with fourier analysis in stationarity test of hydrologic time series (case study: Lake Urmia Water Level), Water and Soil Science, 26, 3, pp. 223-234, (2016)

[34]

Novotny E.V., Stefan H.G., Stream flow in Minnesota: Indicator of climate change, Journal of Hydrology, 334, 3, pp. 319-333, (2007)

[35]

Onyutha C., Identification of sub-trends from hydro-meteorological series, Stochastic Environmental Research and Risk Assessment, 30, 1, pp. 189-205, (2016)

[36]

Patle G.T., Singh D.K., Sarangi A., Rai A., Khanna M., Sahoo R.N., Time series analysis of groundwater levels and projection of future trend, Journal of the Geological Society of India, 85, 2, pp. 232-242, (2015)

[37]

Ribeiro L., Kretschmer N., Nascimento J., Buxo A., Rotting T., Soto G., Oyarzun R., Evaluating piezometric trends using the Mann-Kendall test on the alluvial aquifers of the Elqui River basin, Chile, Hydrological Sciences Journal, 60, 10, pp. 1840-1852, (2015)

[38]

Said S.E., Dickey D., Testing for unit roots in autoregressive moving-average models with unknown order, Biometrika, 71, 3, pp. 599-607, (1984)

[39]

Sen Z., Innovative trend analysis methodology, Journal of Hydrologic Engineering, 17, 9, pp. 1042-1046, (2011)

[40]

Sen Z., Trend identification simulation and application, Journal of Hydrologic Engineering, 19, 3, pp. 635-642, (2013)

← 1 2 3 4 5 6 →