Spatiotemporal Analysis of Maize Water Requirement in the Heilongjiang Province of China during 1960–2015

Wang, Tianyi; Du, Chunyu; Nie, Tangzhe; Sun, Zhongyi; Zhu, Shijiang; Feng, Chengxin; Chang-lei, Dai; Chu, Lili; Liu, Yong; Liang, Qizong

doi:10.3390/w12092472

Cited by 11 publications

(16 citation statements)

References 33 publications

(18 reference statements)

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“…A positive value shows an upward trend, while a negative value indicates a downward trend. Wang et al [20] analyzed variations in the temporal trends of ET 0 and precipitation in Heilongjiang Province using the climate tendency rate. Zuo et al [21] showed that the spatial distribution of annual ET 0 of the Wei River basin decreased from northeast to southwest, and the spatial variation in ET 0 was significant.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution Characteristics of Reference Evapotranspiration in Shandong Province from 1980 to 2019

Zhang

Liu

Zhangzhong

et al. 2020

Water

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Reference evapotranspiration (ET0) is an important part of the water cycle and energy cycle during crop growth. Understanding the influencing factors and spatiotemporal variations of ET0 can guide regional water-saving irrigation and regulate agricultural production. Data for daily meteorological observations of temperature, relative humidity, wind speed, and sunshine hours from 38 surface meteorological stations were used to analyze the spatiotemporal variations and trends in Shandong Province from 1980 to 2019. (1) The ET0 from 1980 to 2019 was 1070.5 mm, and there was a significant downward trend in the climate tendency rate of −7.92/10 a. The climate of Shandong Province became warmer and drier. The average annual temperature showed a significant upward trend, while the average annual relative humidity and average annual sunshine hours showed significant downward trends. (2) The annual ET0 ratio in spring, summer, autumn, and winter was 29%, 40%, 21%, and 10%, respectively. (3) A change in Shandong Province’s interannual ET0 occurred in 2002, with a decrease of 130.74 mm since then. (4) The ET0 was positively correlated with temperature, wind speed, and sunshine hours and negatively correlated with relative humidity. This study provides a scientific basis for the regulation and control of agricultural production in Shandong Province.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution Characteristics of Reference Evapotranspiration in Shandong Province from 1980 to 2019

Zhang

Liu

Zhangzhong

et al. 2020

Water

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“…This trend reduced the ET c and the potential I r for ET [57]. Moreover, research has shown that the water shortage in the west improved from 1960 to 2015 [34]. Based on this trend, the ET 0 will alleviate drought in the west, which will be beneficial for employing a rainfed schedule during normal and wet years in Heilongjiang Province.…”

Section: Discussionmentioning

confidence: 93%

“…Many previous studies indicated that high values of ET c are mainly distributed in the western regions [52,53], with an average of 401.64 mm, while low values are primarily distributed in the eastern regions [34]. In [34], the spatial distribution of ET c was the same as that in this study, but the value of ET c was greater than 401.64 mm, which may have been caused by the use of different models and methods. The previous study used a single crop coefficient to calculate ET c .…”

Section: Discussionmentioning

confidence: 99%

“…As of 2016, the planting area of maize was 7.72 × 10 6 hm 2 , accounting for 52.2% of the province's crop planting area, and its yield was 3.544 × 10 7 t, accounting for 56% of the province's grain [33]. The East Asian summer monsoon controls precipitation in Heilongjiang Province, where the ET c and irrigation are different over time and space [34]. Therefore, it is necessary to quantify the ET c and I r of maize, clarify the temporal and spatial changes and trends of ET c and I r , and determine the irrigation management methods necessary for different places and hydrological years.…”

Section: Introductionmentioning

confidence: 99%

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Study on the Water Supply and the Requirements, Yield, and Water Use Efficiency of Maize in Heilongjiang Province Based on the AquaCrop Model

Nie

Yang

Tang

et al. 2021

Water

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Agricultural irrigation depends heavily on freshwater resources. Under the context of increasingly severe water shortages, studying the relationship among crop water requirements (ETc), actual crop evapotranspiration (ETa), irrigation water requirements (Ir), yield, and water use efficiency (WUE) would be beneficial to improve the agricultural application of irrigation water. Based on the daily data of 26 meteorological stations in Heilongjiang Province from 1960 to 2015, this study used the calibrated AquaCrop model to calculate the ETc, ETa, Ir, and yield of maize (Zea mays L.) in different hydrological years (extremely dry years, dry years, normal years, and wet years) along with WUE to evaluate the mass of yield produced per unit mass of crop evapotranspiration (ET) under rainfed and irrigated scenarios. The results showed that ETc and ETa decreased first and then increased from the west to the east during the four types of hydrological years. Irexhibited a decreasing trend from the west to the east. Compared with the irrigation scenario, the rainfed scenario’s average yield only decreased by 2.18, 0.55, 0.03, and 0.05 ton/ha, while the WUE increased by 0.32, 0.4, 0.33, and 0.21 kg/m3 in the extremely dry years, dry years, normal years, and wet years, respectively. The results indicated that in the normal and wet years, the WUE was high in the central regions, and irrigation did not significantly increase yield; further, we determined that irrigation should not be considered in these two hydrological years in Heilongjiang Province. In the extremely dry and dry years, irrigation was necessary because it increased the yield, even though the WUE decreased. This study provides a theoretical basis for studying the regional irrigation schedule in Heilongjiang Province.

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“…Due to global warming, temperature increases rapidly and hence, demand of freshwater increases as well. Due to the rise in temperature and variation in climatic factors, crop production and crop water requirements are significantly affected [1]. As the effective precipitation is the key factor for the crop water requirement estimation, it is important to analyse the effects of climate change on precipitation.…”

Section: Introductionmentioning

confidence: 99%

Estimation of crop water requirements within Wainganga sub-basin for Kharif and Rabi season using spatial analysis

Londhe

Kapgate

Katpatal

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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In India, largest user of the water is agriculture sector is the, so it is important to do the proper management of available water. Aim of this study to estimate crop water requirements (CWR) for Kharif and Rabi seasons within Wainganga sub-basin by using remote sensing and GIS technique. For this, reference evapotranspiration (ET0) is estimated by using the Food and Agricultural Organization (FAO) Penman-Monteith method. Weather data from 8 weather stations has been collected to estimate ET0. The crop coefficient (KC) is estimated by using linear relationship with Normalized Difference Vegetation Index (NDVI). The MODIS NDVI dataset is used for calculation of crop coefficient. The effective precipitation (Pe) has been calculated to estimate CWR by using FAO recommended empirical method. The spatial variation maps for ET0, KC, actual evapotranspiration (ETa) and CWR are generated using Inverse Distance Weightage (IDW) interpolation technique in ArcGIS software. The results show that ET0 and ETa are higher in Kharif season than the Rabi season. The KC is also found higher in kharif than in rabi. Since the Pe is negligible in Rabi season, CWR in Rabi season is found to be higher than kharif season. The CWR in Rabi varies between 320 mm to 378 mm and in kharif season it varies between 94 mm to 263 mm. It is concluded that the seasonal estimation of CWR helps in understanding the peak water demand in that season in better way. It is required to provide sufficient irrigation to the crops in Rabi season especially as the agricultural production completely depends on the irrigation facilities in the study area because there is no rainfall in this season.

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Spatiotemporal Analysis of Maize Water Requirement in the Heilongjiang Province of China during 1960–2015

Cited by 11 publications

References 33 publications

Spatiotemporal Distribution Characteristics of Reference Evapotranspiration in Shandong Province from 1980 to 2019

Spatiotemporal Distribution Characteristics of Reference Evapotranspiration in Shandong Province from 1980 to 2019

Study on the Water Supply and the Requirements, Yield, and Water Use Efficiency of Maize in Heilongjiang Province Based on the AquaCrop Model

Estimation of crop water requirements within Wainganga sub-basin for Kharif and Rabi season using spatial analysis

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