A Nationwide Analysis of Water Scarcity and Cloud Seeding Demand Levels From Analyzing Water Utilization Data, Agricultural Drought Maps, and Local Conditions in China Mainland

Kong, Mengyuan; Wang, Gaoxu; Wu, Yongxiang; Liu, Guodong; Gu, Yu; Wu, Wei

doi:10.1029/2020ea001477

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…45 in spring and summer, and a few regions facing limitations in autumn and winter. 48 While the number of research programmes is small, 49 most weather modification activities are conducted on an operational basis, using cloud seeding techniques for precipitation enhancement and hail suppression. 50 Both cloud seeding applications involve the dispersal of silver iodide, although dry ice and liquid nitrogen can also be used to enhance precipitation.…”

Section: '   mentioning

confidence: 99%

Transboundary Implications of China's Weather Modification Programme

Simon,

McDonald,

Brent

2023

TEL

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In recent years, China has expanded its national weather modification programme to exploit climatic resources and adapt to climate change. The unprecedented scale of China's weather modification programmes has raised concerns over potential environmental impacts, including transboundary impacts. This article analyzes the domestic governance of weather modification in China and the extent to which this legal framework satisfies China's obligations under customary international law to minimize risks of significant transboundary harm. We find that existing arrangements do not satisfy procedural obligations under customary international law; nor do they adequately address the risks of environmental impacts associated with the increased use of weather modification. Procedures for transboundary environmental impact assessment (EIA) and engagement with regional neighbours are needed for China to comply with international law and promote stability in the region.

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Section: '   mentioning

confidence: 99%

Transboundary Implications of China's Weather Modification Programme

Simon,

McDonald,

Brent

2023

TEL

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Spatiotemporal variations in the eco-health condition of China's long-term stable cultivated land using Google Earth Engine from 2001 to 2019

Zhang

et al. 2022

Applied Geography

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When to perform cloud seeding for maximum agricultural crop yields? A modeling study

Misra,

Agrawal,

Yadav

2024

HFF

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Purpose Agricultural crops play a crucial role in food security and require commensurating environmental conditions, including adequate rainfall to ensure optimum growth. However, in the recent past, a reduction in the agriculture crop yield has been observed due to the deteriorating rainfall pattern. This paper aims to present a novel mathematical model to analyze the impact of rainfall on the growth of agriculture crops, as well as the impact of cloud seeding for promoting the rainfall, in case of less rainfall to ensure the optimum growth of agriculture crops. Design/methodology/approach The authors formulate a mathematical model assuming that the growth of agriculture crops wholly depends on rainfall. Also, agricultural crops can sustain and give optimal yields at a threshold of rainfall, after which rainfall negatively affects the growth rate of agriculture crops. Further, if the agriculture crops get insufficient rain to grow, the authors assume that cloud seeding agents are introduced in the regional atmosphere in proportion to the density of cloud droplets to increase rainfall. Findings This research shows that while cloud seeding agents boost crop yield, excessive rainfall poses significant risks on the yield. For any given value of π1 (conversion of cloud droplets into raindrops because of introduced cloud seeding agents), we have identified the threshold value of ϕ (introduction rate of cloud seeding agents into clouds) where crop yield can be maximized. Research limitations/implications This model highlights the delicate balance between rainfall and cloud seeding, offering policymakers valuable insights for maximizing agricultural crop yields. Originality/value This research provides strategies to mitigate crop loss due to unpredictable rainfall patterns.

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A Nationwide Analysis of Water Scarcity and Cloud Seeding Demand Levels From Analyzing Water Utilization Data, Agricultural Drought Maps, and Local Conditions in China Mainland

Cited by 5 publications

References 16 publications

Transboundary Implications of China's Weather Modification Programme

Transboundary Implications of China's Weather Modification Programme

Spatiotemporal variations in the eco-health condition of China's long-term stable cultivated land using Google Earth Engine from 2001 to 2019

When to perform cloud seeding for maximum agricultural crop yields? A modeling study

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