Spatiotemporal dynamics of water supply–demand patterns under large-scale paddy expansion: Implications for regional sustainable water resource management

Zhang, Qingsong; Sun, Jinsheng; Zhang, Guangxin; Liu, Xuemei; Wu, Yanfeng; Sun, Jingxuan; Hu, Boting

doi:10.1016/j.agwat.2023.108388

Cited by 15 publications

(6 citation statements)

References 50 publications

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“…Specifically, the expansion of maize and rice sowing amounted to 11.96 × 10 6 ha (111.15%) and 4.02 × 10 6 ha (148.34%), respectively, resulting in an increase in the total IWR by 55.15 × 10 9 m 3 and 32.83 × 10 9 m 3 , respectively, which led to a water shortage of 87.98 × 10 9 m 3 . This is similar to Zhang's finding [46] that the expansion of water-intensive crops increases the amount of water used for agricultural irrigation and exacerbates the problem of water scarcity. Farmers tend to cultivate and increase the area of highly waterintensive maize and rice in order to increase their returns, which mainly because of the two crops have higher yields and economic benefits than soybean [37].…”

Section: Reasons For the Spatiotemporal Heterogeneity Of Iwrsupporting

confidence: 86%

“…In addition, climate changes have an impact on the crop irrigation water requirement [40][41][42]. However, previous studies have mainly focused on the spatiotemporal changes in the crop water requirement for a specific crop type and analyzed the effects of climate changes or crop type changes on irrigation water requirement, rather than discussing these on a raster scale [43][44][45][46]. In addition, there are few research studies on long-term changes, annually analyzing spatiotemporal changes in the crop water requirement [47][48][49].…”

Section: Simulate Spatiotemporal Distribution Of Agricultural Water U...mentioning

confidence: 99%

“…The water supply-demand index reflects the relationship between the effective supply and demand of regional agricultural available water resources [46]. The formula for M was as follows:…”

Section: Calculation Of Water Supply-demand Indexmentioning

confidence: 99%

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Impacts of Crop Type and Climate Changes on Agricultural Water Dynamics in Northeast China from 2000 to 2020

Xiao,

Zhang,

Liu

2024

Remote Sensing

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Northeast China (NEC) is one of the most important national agricultural production bases, and its agricultural water dynamics are essential for food security and sustainable agricultural development. However, the dynamics of long-term annual crop-specific agricultural water and its crop type and climate impacts remain largely unknown, compromising water-saving practices and water-efficiency agricultural management in this vital area. Thus, this study used multi-source data of the crop type, climate factors, and the digital elevation model (DEM), and multiple digital agriculture technologies of remote sensing (RS), the geographic information system (GIS), the Soil Conservation Service of the United States Department of Agriculture (USDA-SCS) model, the Food and Agriculture Organization of the United Nations Penman–Monteith (FAO P-M) model, and the water supply–demand index (M) to map the annual spatiotemporal distribution of effective precipitation (Pe), crop water requirement (ETc), irrigation water requirement (IWR), and the supply–demand situation in the NEC from 2000 to 2020. The study further analyzed the impacts of the crop type and climate changes on agricultural water dynamics and revealed the reasons and policy implications for their spatiotemporal heterogeneity. The results indicated that the annual average Pe, ETc, IWR, and M increased by 1.56%/a, 0.74%/a, 0.42%/a, and 0.83%/a in the NEC, respectively. Crop-specifically, the annual average Pe increased by 1.15%/a, 2.04%/a, and 2.09%/a, ETc decreased by 0.46%/a, 0.79%/a, and 0.89%/a, IWR decreased by 1.03%/a, 1.32%/a, and 3.42%/a, and M increased by 1.48%/a, 2.67%/a, and 2.87%/a for maize, rice, and soybean, respectively. Although the ETc and IWR for all crops decreased, regional averages still increased due to the expansion of water-intensive maize and rice. The crop type and climate changes jointly influenced agricultural water dynamics. Crop type transfer contributed 39.28% and 41.25% of the total IWR increase, and the remaining 60.72% and 58.75% were caused by cropland expansion in the NEC from 2000 to 2010 and 2010 to 2020, respectively. ETc and IWR increased with increasing temperature and solar radiation, and increasing precipitation led to decreasing IWR in the NEC. The adjustment of crop planting structure and the implementation of water-saving practices need to comprehensively consider the spatiotemporally heterogeneous impacts of crop and climate changes on agricultural water dynamics. The findings of this study can aid RS-GIS-based agricultural water simulations and applications and support the scientific basis for agricultural water management and sustainable agricultural development.

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Section: Reasons For the Spatiotemporal Heterogeneity Of Iwrsupporting

confidence: 86%

Section: Simulate Spatiotemporal Distribution Of Agricultural Water U...mentioning

confidence: 99%

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Impacts of Crop Type and Climate Changes on Agricultural Water Dynamics in Northeast China from 2000 to 2020

Xiao,

Zhang,

Liu

2024

Remote Sensing

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“…China, the most populated country globally and exhibiting rapid economic growth, is confronted with an escalating need for water resources to sustain its industrial sector, agricultural activities, and urban areas [4]. Differences between supply and demand, unequal dispersion of water resources, continuing flooding and waterlogged soil incidents, agricultural expansion [5], and water conservation issues remain significant challenges in China's water management landscape. Concurrently, there has been a growing emphasis on national objectives regarding water scarcity, pollution, and the degradation of rivers and lakes.…”

Section: Introductionmentioning

confidence: 99%

The Synergy of Water Resource Agglomeration and Innovative Conservation Technologies on Provincial and Regional Water Usage Efficiency in China: A Super SBM-DEA Approach

Yasmeen,

Hao,

et al. 2023

Water

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China is currently facing the significant task of effectively managing its water resources to satisfy the rising needs while grappling with the growing worries of water shortage. In this context, it becomes crucial to comprehend the importance of resource agglomeration and technological adoption. Thus, this research examines the relationship between water resource agglomeration and the adoption of innovative conservation technologies in enhancing water usage efficiency at provincial and regional levels in China (2006–2020). In the first stage, the study utilizes a super SBM-Data Envelopment Analysis (DEA) methodology to evaluate the water usage efficiency of China’s provinces and regions. In the second stage, we find the dynamic nexuses between water resources, water technologies (recycling, sprinkler irrigation) and water usage efficiency by applying a systematic econometric approach. SBM-DEA analysis revealed that Beijing (1.08), Shaanxi (1.01), Shanghai (1.23) and Tianjin (1.01) remained the higher efficient over the years. Six provinces (Guangdong, Shandong, Jiangsu, Inner Mongolia, Hebei, and Zhejiang) are in the middle ranges (0.55–0.83). In contrast, nineteen provinces have the lowest water usage efficiency (0.21–049). Qinghai and Ningxia are on the lowest rank (0.21) and (0.22), respectively. The findings recommended that the water resources impact is negative. In comparison, the impact of water-saving mechanisms on the efficiency of water usage seems to be positive, as recycling technology significantly enhances the water usage efficiency in China’s province. The study found that GDP growth has a negative impact on water usage efficiency in the early stages of economic development. Still, as economies mature, this negative impact diminishes, indicating a tendency to allocate more resources to water conservation and efficiency. Water recycling technology, the modernization of irrigation methods, and water resource management can enhance water efficiency.

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“…As an important region for China's economic development, the water resource status and ecological environmental issues in the core area of the Central Plains Urban Agglomeration have attracted significant attention (Zhao M. et al, 2022). By comprehensively considering indicators and data related to the natural environment, socio-economic development, water resource utilization, and ecosystem conservation, we will explore the current status of water resource ecological optimization in the core area and conduct a detailed analysis of the obstacles hindering its progress (Zhang et al, 2023). A comprehensive evaluation system, based on the Water Resources -Socio-Economic -Ecological Environment model framework, was constructed, incorporating 22 evaluation indicators in the indicator layer.…”

Section: Introductionmentioning

confidence: 99%

Analysis of water resource ecological optimization and obstacles based on the water resources – socio – economic – ecological environment model framework – a case study of the core area of the Central Plains urban agglomeration

Li,

Zhao,

Han

et al. 2023

Front. Ecol. Evol.

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The ecological health level of water resources plays a crucial role in achieving sustainable development in society. This study focuses on the core area of the Central Plains urban agglomeration. A comprehensive evaluation system, based on the Water Resources - Socio-Economic - Ecological Environment model framework, was constructed, incorporating 22 evaluation indicators in the indicator layer. Using an improved entropy weighting method combined with the ITOPSIS model, the water ecological health level in the study area from 2013 to 2022 was evaluated, and corresponding measures were proposed based on the evaluation results. Furthermore, the Barrier Degree model was applied to identify the eight major hindering factors influencing the water resource ecological environment in the research area. The results show that: The overall water resource ecological health level in the core area of the Central Plains urban agglomeration from 2013 to 2022 showed a generally improving trend. The eight major hindering factors indicate that cities should focus on green urban development while promoting the construction of smart water management systems and sponge cities.

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Spatiotemporal dynamics of water supply–demand patterns under large-scale paddy expansion: Implications for regional sustainable water resource management

Cited by 15 publications

References 50 publications

Impacts of Crop Type and Climate Changes on Agricultural Water Dynamics in Northeast China from 2000 to 2020

Impacts of Crop Type and Climate Changes on Agricultural Water Dynamics in Northeast China from 2000 to 2020

The Synergy of Water Resource Agglomeration and Innovative Conservation Technologies on Provincial and Regional Water Usage Efficiency in China: A Super SBM-DEA Approach

Analysis of water resource ecological optimization and obstacles based on the water resources – socio – economic – ecological environment model framework – a case study of the core area of the Central Plains urban agglomeration

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