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Evaluation of the agricultural water resource carrying capacity and optimization of a planting-raising structure

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  • He, Li
  • Du, Yu
  • Wu, Shuang
  • Zhang, Zhaolong

Abstract

The serious shortage of water resources and the progressive deterioration of downstream water environments restrict development of the agricultural economy. It is necessary to study the optimization method of water allocation from the perspective of sustainable development, considering the real situation of agricultural production and water quality. First, an improved principal component analysis that considers the importance of indicators to the principal components is performed to select evaluation indicators, and the entropy weight method is modified to stably and sensitively determine the weight of the evaluation indicators. Moreover, Dempster–Shafer evidence theory is proposed to obtain the comprehensive weight of the evaluation indicators, taking into account both subjective and objective factors. Second, the model to optimize the planting-raising structure and regulate water quantity and quality is established by combining the evaluation of agricultural water resource carrying capacity (AWRCC). A method of water allocation based on the characteristics of water requirement of crops and livestock is put forward, which can not only avoid imbalanced water supply, but also reduce the dimensions of the model. Finally, our proposed method of optimal allocation of agricultural water resources is applied to the Yang River Basin. The evaluation results show that the AWRCC of the subareas fall between the saturated and the transition state during the years included in this study. The optimization results show that the monthly concentration of ammonia nitrogen and chemical oxygen demand can meet the requirement of water quality of less than 1 mg/L and 20 mg/L, respectively. Meanwhile, economic benefits are increased, and the AWRCC is improved. In conclusion, the proposed method and model can provide a valuable tool to evaluate and promote the coordination between the agricultural economy, water quality safety, and sustainable development of local agricultural water resources.

Suggested Citation

  • He, Li & Du, Yu & Wu, Shuang & Zhang, Zhaolong, 2021. "Evaluation of the agricultural water resource carrying capacity and optimization of a planting-raising structure," Agricultural Water Management, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377420309203
    DOI: 10.1016/j.agwat.2020.106456
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    References listed on IDEAS

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    1. Xiao-meng Song & Fan-zhe Kong & Che-sheng Zhan, 2011. "Assessment of Water Resources Carrying Capacity in Tianjin City of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(3), pages 857-873, February.
    2. Yonghua Zhu & Sam Drake & Haishen Lü & Jun Xia, 2010. "Analysis of Temporal and Spatial Differences in Eco-environmental Carrying Capacity Related to Water in the Haihe River Basins, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1089-1105, April.
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    6. Chen, Yingshan & Fu, Qiang & Singh, Vijay P. & Ji, Yi & Li, Mo & Wang, Yijia, 2023. "Optimization of agricultural soil and water resources under fuzzy and random uncertainties: Synergy and trade-off between equity-based economic benefits, nonpoint pollution and water use efficiency," Agricultural Water Management, Elsevier, vol. 281(C).
    7. Han, Yu & Qi, Zhijuan & Chen, Peng & Zhang, Zhongxue & Zhou, Xin & Li, Tiecheng & Du, Sicheng & Xue, Li, 2024. "Water-saving irrigation mitigates methane emissions from paddy fields: The role of iron," Agricultural Water Management, Elsevier, vol. 298(C).
    8. Yizhen Jia & Han Wang, 2023. "Study on Water Resource Carrying Capacity of Zhengzhou City Based on DPSIR Model," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    9. He, Li & Du, Yu & Yu, Menglong & Wen, Hao & Ma, Haochen & Xu, Ying, 2024. "A stochastic simulation-based method for predicting the carrying capacity of agricultural water resources," Agricultural Water Management, Elsevier, vol. 291(C).
    10. Yi Lou & Guanyi Yin & Yue Xin & Shuai Xie & Guanghao Li & Shuang Liu & Xiaoming Wang, 2021. "Recessive Transition Mechanism of Arable Land Use Based on the Perspective of Coupling Coordination of Input–Output: A Case Study of 31 Provinces in China," Land, MDPI, vol. 10(1), pages 1-27, January.
    11. Yansong Zhang & Yujie Wei & Yu Mao, 2023. "Sustainability Assessment of Regional Water Resources in China Based on DPSIR Model," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    12. Wang, Yayu & Puig-Bargués, Jaume & Ma, Changjian & Xiao, Yang & Maitusong, Memetmin & Li, Yunkai, 2024. "Influence and selection of nitrogen and phosphorus compound fertilizers on emitter clogging using brackish water in drip irrigation systems," Agricultural Water Management, Elsevier, vol. 291(C).
    13. Hossein Karami & Romina Sayahnia & Hossein Mahmoudi & Hossein Azadi & Sadegh Salehi, 2023. "Spatial analysis of resources and environmental carrying capacity in Iran," Natural Resources Forum, Blackwell Publishing, vol. 47(1), pages 60-86, February.

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