Hydrochemical evolution mechanism of groundwater in the People’s Victory Canal Irrigation District, China

Accurate and reliable prediction of groundwater depth is a critical component in water resources management. In this paper, a new method based on coupling wavelet decomposition method (WA), autoregressive moving average (ARMA) model, and BP neural network (BP) model for groundwater depth forecasting applications was proposed. The relative performance of the proposed coupled model (WA-ARMA-BP) was compared to the regular autoregressive integrated moving average (ARIMA) and BP models for annual average groundwater depth forecasting using leave-one-out cross-validation (LOO-CV). The variables used to develop and validate the models were average groundwater depth data recorded from 1981 to 2010 in Jinghui Canal Irrigation District in the northwest of China. It was found that the WA-ARMA-BP model provided more accurate annual average groundwater depth forecasts compared to the ARIMA and BP models. The results of the study indicate the potential of the WA-ARMA-BP model in forecasting nonstationary time series such as groundwater depth.

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Hydrogeochemistry and quality assessment of groundwater in Jinghui canal irrigation district of China

Human and Ecological Risk Assessment An International Journal ◽

10.1080/10807039.2020.1774737 ◽

2020 ◽

Vol 26 (9) ◽

pp. 2349-2366

Author(s):

Yan Zhang ◽

Yuqing Xiong ◽

Yang Chao ◽

Ruirui Fan ◽

Feier Ren ◽

...

Keyword(s):

Quality Assessment ◽

Irrigation District ◽

Canal Irrigation

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Impact of agricultural water reallocation on crop yield and revenue: a case study in China

Water Policy ◽

10.2166/wp.2016.040 ◽

2016 ◽

Vol 19 (3) ◽

pp. 513-531

Author(s):

Xiaoping Dai ◽

Xiaohong Zhang ◽

Yuping Han ◽

Huiping Huang ◽

Xu Geng

Keyword(s):

Crop Yield ◽

Irrigation Water ◽

Positive Impact ◽

Water Source ◽

Irrigation District ◽

Agricultural Water ◽

Irrigation Frequency ◽

Canal Irrigation ◽

Using Data ◽

The Impact

Our study area in the People's Victory Canal Irrigation District of Henan Province in China has been transferring agricultural water to the city for municipal use. This study starts with an examination of the impacts of irrigation frequency, irrigation water sources, and irrigation water supply performance on crop yield and net crop revenue, using data from a survey of 182 households in the study area. Thereafter, it analyzes the impact of agricultural water reallocation (AWR) on crop yield and revenue. The study ends with an estimation of the compensation for affected farmers and a discussion of the compensation methods. Regression results indicate that irrigation frequency shows a significantly positive impact on crop yield and net crop revenue. The change of irrigation water source from canal water to well water and local small river water decreases the integrated crop yield of wheat and rice by 9% and 12%, and decreases the net integrated crop revenue by 16% and 19%, respectively. AWR decreases the integrated crop yield of wheat and rice by at least 2%, and decreases the net integrated crop revenue by at least 3.5%. Estimated compensation for affected farmers is between 78.72 and 97.85 USD/ha.

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