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Featured researches published by Cao Xinchun.


Science of The Total Environment | 2017

Assessing water scarcity in agricultural production system based on the generalized water resources and water footprint framework

Cao Xinchun; Wu Mengyang; Guo Xiangping; Zheng Yalian; Gong Yan; Wu Nan; Wang Weiguang

An indicator, agricultural water stress index (AWSI), was established based blue-green water resources and water footprint framework for regional water scarcity in agricultural production industry evaluation. AWSI is defined as the ratio of the total agricultural water footprint (AWF) to water resources availability (AWR) in a single year. Then, the temporal and spatial patterns of AWSI in China during 1999-2014 were analyzed based on the provincial AWR and AWF quantification. The results show that the annual AWR in China has been maintained at approximately 2540Gm3, of which blue water accounted for >70%. The national annual AWF was approximately 1040Gm3 during the study period and comprised 65.6% green, 12.7% blue and 21.7% grey WFs The space difference in both the AWF for per unit arable land (AWFI) and its composition was significant. National AWSI was calculated as 0.413 and showed an increasing trend in the observed period. This index increased from 0.320 (mid-water stress level) in 2000 to 0.490 (high water stress level) in the present due to the expansion of the agricultural production scale. The Northern provinces, autonomous regions and municipalities (PAMs) have been facing high water stress, particularly the Huang-Huai-Hai Plain, which was at a very high water stress level (AWSI>0.800). Humid South China faces increasingly severe water scarcity, and most of the PAMs in the region have converted from low water stress level (AWSI=0.100-0.200) to mid water stress level (AWSI=0.200-0.400). The AWSI is more appropriate for reflecting the regional water scarcity than the existing water stress index (WSI) or the blue water scarcity (BWS) indicator, particularly for the arid agricultural production regions due to the revealed environmental impacts of agricultural production. China should guarantee the sustainable use of agricultural water resources by reducing its crop water footprint.


Science of The Total Environment | 2018

Water footprint assessment for crop production based on field measurements: A case study of irrigated paddy rice in East China

Cao Xinchun; Wu Mengyang; Shu Rui; Zhuo La; Chen Dan; Shao Guangcheng; Guo Xiangping; Wang Weiguang; Tang Shuhai

Water footprint (WF) is a comprehensive measure of water consumption by human activities and can be used to assess the impact on both water volume and quality. This study aims to explore the feasibility of evaluating green, blue and grey WFs of crop production based on field measurements. The irrigated paddy rice grown in three different experimental sites in different typical irrigation districts in Huaian, East China over 2011 to 2014 was taken as study case. With fixed irrigation and fertilization, on the basis of measuring field water and fertilizer balance at daily step, we calculated WF of crop production under different test treatments. Results show that crop water requirement of rice was measured as 667.1mm and 6.2% of the total nitrogen (T-N) was washed away from farmland accompany with drainage and percolation. Average annual WF of paddy rice during 2011-2014 in Huaian was 1.760m3/kg (33.3% green, 25.8% blue and 40.9% grey). The level of WF and blue water proportion in different locations (irrigation districts) and different years changed slightly, while the proportion of green and grey WF changed with the variance of precipitation. Green water proportion was 25.1%, 34.2 and 44.2%, while 48.0%, 40.2% and 31.0% for grey water proportion under precipitation levels of 400, 600 and 800mm, respectively. The reduced grey WF was due to increased drainage. This study not only proved the feasibility of assessing WF of crop production with field experiments, but also provided a new method for WF calculation based on field water and fertilizer migration processes.


Archive | 2017

System and method for automatically monitoring soil moisture based on drying method

Chen Sheng; Guo Xiangping; Wang Zhenchang; Cao Xinchun


Archive | 2017

Pressure type flow velocity measuring instrument

Chen Sheng; Guo Xiangping; Wang Zhenchang; Cao Xinchun


Archive | 2017

Warmhouse booth suitable for south dive area

Gao Shuang; Xie Yi; Guo Xiangping; Wu Mengyang; Chen Sheng; Cao Xinchun; Wang Zhenchang; Wang Jun; Nie Jie


Archive | 2017

Method for calculating crops production water footprint based on field water and fertilizer utilization process

Cao Xinchun; Guo Xiangping; Wu Nan; Zheng Yalian; Yang Chenyu; Wang Zhenchang


Archive | 2017

Automatically controlled irrigation system based on ultrasonic wave reflection principle

Chen Sheng; Guo Xiangping; Wang Zhenchang; Cao Xinchun


Archive | 2017

Pump station flow rate measurement method based on volumetric method

Guo Xiangping; Liu Minhao; Chen Sheng; Wang Zhenchang; Wang Jie; Cao Xinchun


Archive | 2017

System for realizing automatic-balancing sensing and control of water level of lysimeter

Chen Sheng; Guo Xiangping; Wang Zhenchang; Cao Xinchun


Nongye Jixie Xuebao | 2016

水稲の天然の窒素含有量、窒素同位体の組成と生産量と品質の関係【JST・京大機械翻訳】

Wang Zhenchang; Guo Xiangping; Huang Shuangshuang; Cao Xinchun; Qiu Rangjian; Liu Chunwei

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Wang Jun

Chinese Academy of Sciences

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