Sustainability assessment of regional water resources under the DPSIR framework

Sun, Shikun; Wang, Yubao; Jing, Liu; Cai, Huanjie; Wu, Pute; Geng, Qingling; Xu, Lijun

doi:10.1016/j.jhydrol.2015.11.028

Cited by 192 publications

(90 citation statements)

References 35 publications

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“…The irrigation area currently covers 574 × 10 3 ha, and the annual amount of irrigation water is about 5 × 10 9 m 3 , mainly derived from the Yellow River. The major crops grown are spring wheat, maize, and sunflower [18,19]. …”

Section: Study Areamentioning

confidence: 99%

Impact of Future Climate Change on Regional Crop Water Requirement—A Case Study of Hetao Irrigation District, China

Zhou

Sun

et al. 2017

Water

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Water shortage is a limiting factor for agricultural production in China, and climate change will affect agricultural water use. Studying the effects of climate change on crop irrigation requirement (CIR) would help to tackle climate change, from both food security and sustainable water resource use perspectives. This paper applied SDSM (Statistical DownScaling Model) to simulate future meteorological parameters in the Hetao irrigation district (HID) in the time periods 2041-2070 and 2071-2099, and used the Penman-Monteith equation to calculate reference crop evapotranspiration (ET 0 ), which was further used to calculate crop evapotranspiration (ET c ) and crop water requirement (CWR). CWR and predicted future precipitation were used to calculate CIR. The results show that the climate in the HID will become warmer and wetter; ET 0 would would increase by 4% to 7%; ET c and CWR have the same trend as ET 0 , but different crops have different increase rates. CIR would increase because of the coefficient of the increase of CWR and the decrease of effective precipitation. Based on the current growing area, the CIR would increase by 198 × 10 6 to 242 × 10 6 m 3 by the year 2041-2070, and by 342 × 10 6 to 456 × 10 6 m 3 by the years 2071-2099 respectively. Future climate change will bring greater challenges to regional agricultural water use.

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Section: Study Areamentioning

confidence: 99%

Impact of Future Climate Change on Regional Crop Water Requirement—A Case Study of Hetao Irrigation District, China

Zhou

Sun

et al. 2017

Water

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“…In semiarid Uzbekistan, improving water use technologies has been identified as a way to increase agricultural production [23] and meet people's food demands. The introduction of low-cost water-saving technologies and the improvement of on-farm irrigation systems have been found to be the main ways to reduce agricultural water demand and improve the quality of this valuable natural resource [27,28].…”

Section: Uzbekistan's Irrigation Reformsmentioning

confidence: 99%

Impact of Institutional Change on Irrigation Management: A Case Study from Southern Uzbekistan

Djumaboev

Hamidov

Anarbekov

et al. 2017

Water

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Abstract:The rapidly growing population in Uzbekistan has put massive pressure on limited water resources, resulting in frequent water shortages. Irrigation is by far the major water use. Improving irrigation water use through the institutional change of establishing water consumer associations (WCAs) has been identified as a way to increase agricultural production and meet the food demand in the area. However, most WCAs are not fully able to organize collective action or generate sufficient funds to carry out their responsibilities. This study investigated the water-resource-related challenges faced by WCAs and local farmers in Kashkadarya Province in Uzbekistan, using semi-structured expert interviews and focus group discussions. The resulting data were analyzed using qualitative analysis software (Atlas.ti). The results indicated that outdated infrastructure, poor governance, and farmers' non-payment of irrigation service fees hamper sustainable water management. Greater trust and communication within the WCAs would make an important contribution to effective collective action and to the long-term sustainability of local associations.

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“…Schomoldt, Kangas, Mendoza, Pesonen, 2001) and forest-related criteria (e.g. Kangas, Kangas, 2005, Kangas, Kangas, Kurttila, 2008, Diaz-Balteiro, Romero, 2008and Feng, Wang, Yao, Ding, 2016, as well as in quality analysis (Badri, Al Qubaisi, Mohaidat, Al Dhaheri, Yang, Al Rashedi, Greer, 2016), assessment of different agricultural processes (Zhang, Su, Wu, Liang, 2015, Aydi, Abichou, Nasr, Louati, Zairi, 2016and Yalew, van Griensven, Mul, van der Zaag, 2016 and in water resource management (Sun, Wang, Liu, Cai, Wub, Gengd, Xu, 2016 andZhao, Jin, Zhu, Xu, Hang, Chen, Han, 2016).…”

Section: Introductionmentioning

confidence: 99%