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10 March 2026, Volume 48 Issue 3
    

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  • AN Xindai, SHANG Wenxiu, LV Hong
    Yellow River. 2026, 48(3): 1-8.
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    Water scarcity constitutes a critical constraint on the sustainable development of the Yellow River Basin. To provide a reference for formulating water resources security strategies in the Yellow River basin, this study systematically analyzes the fundamental characteristics, administrative situation and the historical utilization of water resources in the basin, and projects future supply-demand trends. The results indicate that: 1) The Yellow River Basin suffers from a suboptimal natural endowment of water resources, primarily characterized by severe overall shortage, uneven spatiotemporal distribution, high inter-annual and intra-annual variability, prolonged periods of consecutive dry years, and a significant declining trend in natural runoff. 2) With the continuous improvement of water resource management systems, the total water use within the Yellow River water supply zone remained generally stable from 1989 to 2023, yet notable structural changes occurred, evidenced by a substantial decrease in the proportion of agricultural water use. 3) Water use in the basin is constrained by both resource availability and management policies. Although water use efficiency has reached a relatively advanced level domestically, a significant supply-demand gap persists. The intensity of water resources utilization has exceeded the basin's carrying capacity, leading to prominent issues such as insufficient environmental flow in the mainstream and tributaries, river channel sedimentation and shrinkage, and severe groundwater over-exploitation. 4) To support national strategic goals such as ecological conservation and high-quality development within the Yellow River Basin, long-term stability and security, as well as food and energy security, water demand in the basin is projected to continue growing. It is thus imperative to accelerate the construction of inter-basin water transfer projects to secure water security for the basin through external water sources.
  • CHEN Shuguang, WANG Bei, LIU Yuxuan
    Yellow River. 2026, 48(3): 9-16.
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    In order to promote the coordinated development of green finance and low-carbon economy in the Yellow River Basin, promote ecological civilization construction in the Yellow River Basin, this paper uses panel data from 35 cities in the Yellow River Basin from 2013 to 2022, measures their coupling coordination degree model, and combines spatial autocorrelation model and spatial Durbin model to explore their spatial agglomeration characteristics and influencing factors. The findings indicate that: a) The coupling coordination level between green finance and the low-carbon economy in the Yellow River Basin has shown a consistent upward trend, with values in the middle and lower reaches substantially exceeding those in the upper reach. b) The global Moran's index was significantly positive during the study period, showing an overall fluctuating downward trend; In local spatial agglomeration, H-H agglomeration is mainly distributed in the middle and downstream areas, while L-L agglomeration is mainly distributed in the upstream areas. c) The degree of government support, green technology innovation, economic development level, and degree of openness to the outside world have a significant positive and direct effect on the coupling and coordinated development of the two.Based on this, it is suggested that the Yellow River Basin should promote regional balanced development, strengthen support for upstream areas, optimize industrial structure, reduce dependence on high polluting industries, strengthen government support, and drive technological innovation, in order to achieve coordinated development of ecological benefits and economic growth.
  • ZHANG Rongbo, HAO Long, ZHONG Changbiao
    Yellow River. 2026, 48(3): 17-23.
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    Counties serve as crucial regional units in China's economic development, contributing significantly to carbon emissions. To explore the pathways through which new quality productive forces at the county level drives carbon emission reduction in the Yellow River Basin and to provide a reference for related research, this study utilizes panel data from 904 counties across nine provinces (or autonomous regions) in the Yellow River Basin spanning 2014-2023. The level of new quality productive forces at the county level is measured using the spatiotemporal range entropy weight method. Kernel density estimation, the Dagum Gini coefficient, and the spatial Markov chain are employed to analyze the spatiotemporal evolution patterns of new quality productive forces in the region. Subsequently, an econometric model is constructed, with carbon emission intensity as the dependent variable and the level of new quality productive forces as the core explanatory variable, to empirically examine the driving effect of county-level new quality productive forces on carbon emission reduction. The research findings indicate that: a) The level of new quality productive forces at the county level in the Yellow River Basin exhibited an overall fluctuating upward trend over time, yet remained relatively low by the end of the study period; spatially, it generally displayed a gradient pattern with higher levels in the east and lower levels in the west. b) The enhancement of new quality productive forces at the county level in the Yellow River Basin exhibits strong path dependence, with revolutionary breakthroughs in science and technology being the key driver, while the difficulty of achieving leapfrog development across levels remains substantial. c) New quality productive forces at the county level in the Yellow River Basin exerts a consistently stable driving effect on carbon emission reduction; however, due to administrative boundaries and institutional barriers, it exhibits a negative spatial spillover effect. The driving mechanisms include three direct pathways-revolutionary breakthroughs in science and technology, innovative allocation of production factors, and deep transformation and upgrading of industrial structure-as well as indirect pathways operating through effectively promoting energy conservation, emission reduction, carbon sequestration, and carbon sink enhancement. d) The driving effect of county-level new quality productive forces on carbon emission reduction in the Yellow River Basin exhibits heterogeneity across space and industrial sectors. Therefore, the following recommendations are proposed: optimize the scientific and technological innovation mechanism to steadily enhance county-level new quality productive forces; implement targeted policies to narrow the inter-regional disparities in new quality productive forces; and further leverage the carbon-reduction potential of new quality productive forces to support low-carbon transformation in county-level socio-economic development.
  • BIAN Jing, ZHOU Hao
    Yellow River. 2026, 48(3): 24-29.
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    To provide a decision-making basis and reference for the green and low-carbon development of the Yellow River Basin and the implementation of the “dual carbon” strategy, this study adopted the super-efficiency SBM model to measure the carbon emission efficiency of 50 cities in the Yellow River Basin from 2013 to 2021. The Malmquist index model was used to conduct a static and dynamic comprehensive evaluation of carbon emission efficiency. The spatial autocorrelation of urban carbon emission efficiency was analyzed by calculating the Moran’s I and plotting the Moran scatter plot, and a spatial Durbin model was constructed to explore the influencing factors of urban carbon emission efficiency. The results show that: a) The urban carbon emission efficiency in the Yellow River Basin is generally low. Although it showed an overall upward trend during the study period, the long-formed development model relying on high-carbon energy is difficult to change completely in the short term, which restricts the substantial improvement of carbon emission efficiency. b) There are significant differences in carbon emission efficiency among cities in the Yellow River Basin. Approximately a quarter of the cities are in an effective state of carbon emission, while most cities are in an ineffective state, showing spatial characteristics of high-high agglomeration and low-low agglomeration. c) Economic development and technological innovation have a significant role in promoting and driving the improvement of urban carbon emission efficiency in the Yellow River Basin, foreign trade and government intervention have a certain promoting effect, urbanization and industrial structure have a certain negative impact on the improvement of urban carbon emission efficiency. Suggestions: Develop and utilize new energy sources, optimize the industrial structure, strengthen scientific and technological innovation and the transformation and application of its achievements, implement targeted policies in light of local conditions, and build new green and low-carbon cities.
  • XU Xiaolei, XIE Gui, XU Yueyue, ZHANG Mengmeng, FENG Lin
    Yellow River. 2026, 48(3): 30-36.
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    To provide decision-making references for ecological protection and high-quality development of the Yellow River Basin from an agricultural perspective, a carbon emission accounting list for agriculture in the Henan section of the Yellow River Basin was constructed based on carbon sources from crop planting and livestock breeding. The agricultural carbon emissions from 2012 to 2021 were calculated, and the spatio-temporal evolution characteristics of agricultural carbon emissions were analyzed using the statistical comprehensive analysis method and the natural break point method. The results show that: a) From 2012 to 2021, the total agricultural carbon emissions in the Henan section of the Yellow River Basin showed an overall downward trend. The period from 2012 to 2015 was a stage of “minor fluctuations and relative stability”, and the period from 2016 to 2021 was a stage of “obvious changes and fluctuating decline”. b) In the agricultural carbon emissions of the Henan section of the Yellow River Basin, the carbon emissions from agricultural materials accounted for a relatively large proportion, with an average annual proportion of 54.15%. Among them, fertilizers were the main source of carbon emissions from agricultural materials, with an average annual proportion of 50.17%. In the spatial dimension, Jiyuan, Hebi, Jiaozuo, and Sanmenxia had less cultivated land area and lower agricultural carbon emissions, Zhengzhou, Luoyang, and Puyang had significant achievements in agricultural carbon reduction, Kaifeng, Xinxiang, and Anyang still had relatively large agricultural carbon emissions.Based on this, the implementation path of agricultural carbon reduction was proposed, including compiling a carbon source list, establishing unified standards, conducting surveys and monitoring, strengthening surface source control, innovating circular utilization, and implementing unified management in Henan Section of the Yellow River Basin.
  • LI Fang, WU Fengping, ZHAO Yue, CHEN Xiangnan
    Yellow River. 2026, 48(3): 37-44.
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    Carbon compensation serves as an effective mechanism for sustaining ecological stability, fostering equitable and coordinated regional development, and facilitating the achievement of carbon emission reduction targets. Focusing on the nine provinces and autonomous regions within the Yellow River Basin as the research area, this study integrates the carbon quota allocation under emission reduction targets with interprovincial carbon compensation, identifies the carbon compensation subject and object based on the carbon quota amount, carbon absorption amount and actual carbon emissions, and the carbon compensation value of the Yellow River Basin from 2021 to 2030 is estimated. The results show that: the satisfaction rate of the inter-provincial carbon quota allocation scheme in the Yellow River Basin exceeding 94%, which is easy for each region to accept. The carbon compensation heterogeneity among the regions is large, and the overall spatial pattern is“compensation from the middle and lower reaches to the upper reaches”. From 2021 to 2030, the overall carbon offset value of the Yellow River Basin will decrease year by year, and the funds requiring subsidies from the central government will show a downward trend. Based on this, the study suggests that enhancing the supporting infrastructure for inter-provincial carbon compensation, instituting a comprehensive ‘vertical and horizontal’ coordination mechanism, and exploring the differentiated low-carbon development models for the regions.
  • HUANG Weidong
    Yellow River. 2026, 48(3): 45-51.
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    The upper reaches of the Yellow River contribute 58% of the water volume and 12% of the sediment to the entire basin. Due to climate change and human activities, there have been significant changes in the upstream water and sediment characteristics. Based on hydrological, meteorological and other observation data, and using methods such as hydrological statistics, double cumulative value correlation curves, and Kendall rank correlation, this article analyzes the evolution law of water and sediment in the upper reaches of the Yellow River and its influencing factors. The results show that, during the period of 1956-2022, due to the increase in precipitation and temperature, the natural runoff of the main stream above Tangnaihai and the Huangshui River Basin increased by 0.005-0.011 billion m3 per year, while the hydrological stations in the Lanzhou to Toudaoguai section of the main stream and the Daxia River and Tao River basins were affected by the decrease in precipitation and changes in underlying surfaces, resulting in a decrease of 0.003-0.047 billion m3per year in natural runoff. The sediment discharge of the main and tributary control stations has shown a decreasing trend over the years. The main stream above Tangnaihai has decreased by 20 000 tons per year, the hydrological station between Lanzhou and Toudaoguai has decreased by 1.58-2.15 million tons per year, and each tributary has decreased by 50 000-470 000 tons per year. The distribution of runoff and sediment in various rivers is uneven throughout the year. The runoff is mainly concentrated from May to October, accounting for 67.8% to 81.4% of the annual total. Sediments are mainly concentrated from June to September, accounting for 63.2% to 91.4% of the annual total. The impact of reservoir and hydropower stations on water and sediment changes is significant. Taking the Longyangxia and Liujiaxia hydropower station as an example, the joint operation of the two reservoirs after 1986 resulted in a 13.6% reduction in annual runoff and a 75.3% reduction in annual sediment discharge at Lanzhou station.
  • ZHANG Fengran, LI Shu, LI Ningbo, QI Qingsong, ZHANG Xiangyu, LI Qiangkun, BAI Le
    Yellow River. 2026, 48(3): 52-57.
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    To elucidate the impacts of human activities on the hydrological regime of the Yemu River, this paper employs annual and daily runoff data from the Yemuguang Hydrologic Station between 1981 and 2020. Utilizing statistical methods such as the Mann-Kendall test, Pettitt’s test, Indicators of Hydrologic Alteration, and Dynamic Time Warping, the study examines the alterations and similarities in the river’s hydrological patterns during a baseline period and a subsequent period influenced by ecological protection and high-quality development initiatives. Additionally, the research explores the correlation and transition points between terrestrial water storage derived from the Global Land Data Assimilation System (GLDAS) and the runoff in the Yemu River. The analysis reveals that 1) The Yemu River experienced a shift in runoff and terrestrial water storage in 2018; 2) The runoff during the impact period is 29.79% higher than that of the reference period; 3) The similarity coefficients for five sets of hydrological data between the two periods are 0.025, 0.025, 0.25, 0.1, and 0, respectively, indicating that the frequency of runoff extremes has risen, while the duration of low flows has diminished; 4) The water conservation measures implemented during the impact period have depleted the baseflow, leading to a noticeable reduction in baseflow; 5) The correlation between terrestrial water storage and runoff in the Yemu River basin is relatively weak.
  • YU Yang, YAO Yi, LI Chentao, LI Dayang, XIE Fei
    Yellow River. 2026, 48(3): 58-65.
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    The long-term changes in sediment concentration in the five rivers of the Poyang Lake Basin significantly affect water quality, the stability of lake ecosystems, and downstream water resource utilization. This study employd a Long Short-Term Memory (LSTM) model to analyze the evolution characteristics and driving mechanisms of sediment concentration based on data from 1966 to 2018. The model demonstrated high fitting accuracy during both the training and validation periods, with Nash-Sutcliffe efficiency (NSE) ranging from 0.89 to 0.94 and 0.82 to 0.93, respectively, and root mean square error (RMSE) values between 0.01 and 0.02 g/L, indicating good robustness and applicability. Scenario analysis revealed a significant decline in sediment concentration in the five rivers after 1990, with human activities having a greater impact than climate change. The reduction in sediment concentration in the Ganjiang and Xinjiang Rivers was primarily driven by human activities, with a contribution rate exceeding 80%. While in the Raohe River (represented Changjiang and Le’an Rivers), climate change dominated, with a contribution rate of approximately 40%. Seasonal analysis showed that sediment concentration changes during the flood season were mainly controlled by human activities, while those during the dry season were largely influenced by climate change. 
  • HOU Jiaojian, DAI Zhiyu, HOU Zhijun
    Yellow River. 2026, 48(3): 66-72.
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    In order to study the influence of bridge on dike engineering, a series of tests on the influence of pier layout on dike engineering were carried out by using 1∶150 normal model flume under different discharge and different distance between pier and dike.The test results show that the arrangement of bridge piers near the embankment will have a certain impact on the safety of the embankment project, mainly manifested in the increase of the flow velocity at the foot of the embankment and the increase of the erosion depth, etc. The degree of influence increases with the decrease of the distance between the bridge piers and the foot of the embankment and the increase of the incoming flow. The influence range is from 315 m upstream of the bridge location to 360 m downstream of the bridge location. Under the design plane conditions, the maximum increase in the flow velocity at the foot of the embankment is 3.01 m/s, the maximum increase in the depth of the embankment at the foot is 0.85 m, and the depth of the bridge piers is 12.7 m. There is a low-speed zone behind the bridge piers. The reduction value of the flow velocity is 0.5-1.8 m/s, and the affected distance is 900-1 500 m.
  • YU Huanghao, LI Binquan, ZHAO Maihuan, LI Kuang, CHEN Cheng
    Yellow River. 2026, 48(3): 73-79.
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    There are many complex relationships among water resources, water environment, water ecology and water disaster “four-water” system in a basin. Analyzing the level of internal co-evolution of the four-water system can provide theoretical basis for optimal allocation of water resources, protection of water ecological environment and water disaster prevention. Eight prefecture-level cities in the Shaanxi section of the Yellow River Basin from 2013 to 2022 were selected as research areas, and frequency statistics, expert consultation, principal component analysis and other methods were used to optimize the four-water system indicators, and the corresponding index system was constructed. The entropy weight method is used to calculate the weights of each index of the four-water system, and the Haken model is established to analyze the order parameters and coordination level of the cooperative system. The results show that: a) The comprehensive value of the water environment subsystem is higher than that of the other three subsystems, and the development of the water environment subsystem is better than that of the other three subsystems; b) The water environment subsystem is the order parameter of the four-water system, and the synergy scores of all prefecture-level cities show an upward trend, among which Yulin, Weinan, Xianyang and Xi ’an grow faster than the other four prefecture-level cities, but are much lower than the other four prefecture-level cities in 2022 (Weinan is the exception, the synergy score increases to more than 0.95 in 2022); c) In Guanzhong and northern Shaanxi, industrial layout and energy revolution can be optimized respectively to improve the level of four-water system co-evolution in Shaanxi section of the Yellow River Basin.
  • WANG Chao, YU Yuanlong, YANG Yang, LEI Xiaohui
    Yellow River. 2026, 48(3): 80-85.
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    Water vulnerability is an important measure of the carrying capacity of a region's water resources under the influence of environmental, social and governance (ESG) concepts. Conducting water resources vulnerability evaluation under the ESG concept allows for a more comprehensive identification and response to risks and challenges in the water resources system and promotes the sustainable development of water resources. Based on the above, this paper establishes the water resources vulnerability evaluation index system under the ESG concept, and proposes the water resources vulnerability classification criteria based on the ESG concept. In addition, in order to better portray the uncertainty existing in the water resources vulnerability evaluation under the ESG concept, a water resources vulnerability evaluation method based on the IFS-TOPSIS coupling method was constructed and applied to the water resources vulnerability evaluation in Hebei Province. The results show that: the northern part of Hebei Province performs lower than the southern part of the province in terms of water resources vulnerability rating as a whole; in terms of environmental systems, Zhangjiakou and Handan perform better; in terms of social systems, the differences between the prefecture-level cities are not obvious; and in terms of governance systems, most of the prefecture-level cities perform better. In addition, the comparison results of multiple evaluation methods show that the IFS-TOPSIS coupling method is more suitable for the evaluation of water resources vulnerability in Hebei Province under the ESG concept. 
  • WEI Xile, LI Hongmei
    Yellow River. 2026, 48(3): 86-93.
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    In order to explore the intrinsic relationship between the digital economy and agricultural water use efficiency, this study employed panel data from 31 Chinese provinces spanning 2011–2023. The super-efficiency SBM model and Malmquist index method were applied to measure agricultural water use efficiency, while the entropy weight method was employed to quantify digital economic development levels through a comprehensive indicator system. The system GMM model was then applied to empirically analyze the impact of digital economy development on agricultural water use efficiency and examine the synergistic effects of water rights reform. The results indicate that: a) Digital economy development significantly promotes agricultural water use efficiency. b) Digital economy development enhances agricultural water use efficiency primarily through driving technological progress and rationalizing industrial structures, while generating significant positive synergies with water rights reform. c) The synergy between digital economy development and water rights reform exhibits notable regional heterogeneity and resource endowment heterogeneity. The synergistic effect is particularly pronounced southeast of the Hu Huanyong Line, among high-income farmer groups, and in water-scarce regions. Based on these findings, targeted recommendations are proposed, including coordinated advancement of technology empowerment, institutional innovation, and region-specific policies to foster digital economy development and enhance agricultural water-saving efficiency.
  • ZHAO Yali, MU Jinting, ZHU Xinyu, LI Nengneng
    Yellow River. 2026, 48(3): 94-101.
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    In order to scientifically identify the conduction relationship between agricultural water use efficiency in different regions, explore the causes of its spatial correlation network, and crack the pain points and blocking points of the collaborative improvement path of regional water use efficiency, this study based on 79 urban units in the Yellow River Basin from 2000 to 2021, used the stochastic frontier production function to measure the agricultural water use efficiency in the Yellow River Basin, then used the social network analysis method to reveal its spatial correlation network structure characteristics. Finally, it used the Quadratic Assignment Problem (QAP) to identify the influencing factors of the spatial correlation network. The results show that: a)The overall level of agricultural water use efficiency in the Yellow River Basin is relatively low but shows a steady growth trend, and the overall spatial differentiation phenomenon is downstream > midstream > upstream. b)During the study period, the spatial correlation intensity of agricultural water resources utilization efficiency in the Yellow River Basin gradually increases, but the network density is low and the network structure is loose. c)The differences in geographical proximity, economic development level and water resources abundance promote the formation of the spatial network structure of agricultural water use efficiency, while the differences of irrigation and water conservancy facilities level, planting structure and industrial structure play a reverse role.
  • SUN Lijuan, WU Yinhu, CHEN Zhuo, NIE Chunlei, LI Xiaoping, YANG Chunli, HU Hongying
    Yellow River. 2026, 48(3): 102-106.
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    In water-scarce regions, implementing regional recycling of reclaimed water can achieve integrated management of water resources, water environment, and water ecology. In this article, by analyzing geographic location、water resources sitution and reclaimed water reusing status of these pilot cities, combined with research in some cities, we summerized problems and challenges in regional recycling of reclaimed water, also proposed targeted suggestions. Our analysis shows: most of these pilot cities are located in northern areas and the Yellow River basin, indicated that they are in urgent need of reclaimed water; 31 cities are belonging to moderately severe or sever water shortage area and this situation seriously constrained development of the urban construction; most pilot city’s utilization rate of reclaimed water is under 25%, some even less than 10%, and reclaimed water is mainly used for scenic environment, the regional development of reclaimed water reusing is uneven. Therefore, we proposed the following suggestions: strengthen policy and regulation, improve the standard system; clarify the reclaimed water ownership、establish a reasonable pricing mechanism and develop a sound long-term operational mechanism; clarify the role of reclaimed water in water resource allocation and strengthen regional coordination ; improve the check up mechanism and incentive policies of the utilization of reclaimed water; establish a sound regulatory system and safety measures for the use of reclaimed water; strengthen the construction of reclaimed water utilization facilities and improve the level of reclaimed water utilization.
  • ZHANG Lu, YANG Jiawei, CAO Changjing, HAN Jiaqi, XU Jiayi
    Yellow River. 2026, 48(3): 107-112.
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    Land-use change leads to variations in terrestrial ecosystem carbon storage. Simulating land-use patterns and carbon storage under different scenarios in the Yellow River Basin (Henan section) is of great significance for promoting the high-quality development strategy of the Yellow River Basin and advancing the dual-carbon goals. Based on the FLUS and InVEST models, land-use patterns and carbon storage in the Yellow River Basin (Henan section) in 2030 were simulated under the natural development scenario and the high-quality development scenario. Furthermore, the standard deviation ellipse was employed to investigate the spatiotemporal evolution of carbon storage and the migration trajectory of its center of gravity.The results indicate that the dominant land-use types in the Yellow River Basin (Henan section) are cultivated land, forest land. The carbon storage 1980, 1990, 2000, 2010 and 2020 were 1.255 billion tons, 1.254 billion tons, 1.253 billion tons, 1.214 billion tons, and 1.193 billion tons respectively. By 2030, carbon storage under the natural development scenario and the high-quality development scenario is projected to be 1.180 and 1.184 billion tons, respectively. Over the past 40 years and under both 2030 scenarios, the center of gravity of carbon storage has generally migrated from the northeast toward the southwest, while remaining consistently located within Luoyang city.
  • YANG Wenjie, ZHANG Lu, HAN Jiaqi, XU Jiayi, CAO Changjing
    Yellow River. 2026, 48(3): 113-118.
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    Water and land resources form the foundation of socio-economic development, and economic growth actively shapes their sustainable utilization and management.This study focuses on the Henan section of the Yellow River Basin, establishing a comprehensive evaluation system for the economy-water-land nexus. By utilizing the coupling coordination model and the standard deviational ellipse method, it analyzes the spatiotemporal evolution of the system’s coupling coordination between 2000 and 2020. The results show that: a) The coupling coordination degree of the economy-water-land system in the study area continued to improve, and by 2020, all cities except Jiyuan had reached at least a borderline uncoordinated level; b) The disparity in coupling coordination levels among cities widened over time, with Luoyang and Zhengzhou reaching intermediate coordination and primary coordination, respectively, significantly higher than other cities; c) The internal binary coordination structure of the system shifted: the water-land system exhibited the highest coordination in 2000, whereas by 2020, the economy-water system showed the highest coordination, reflecting a strengthened synergistic interaction between economic development and water resource utilization; d) The standard deviational ellipse of the coupling coordination degree displayed a shortened long axis and an extended short axis, indicating that the influence of eastern and western peripheral cities on regional coordination weakened, while the impact of cities in the northern and southern directions increased. 
  • LEI Lei, YAO Jixuan, HAI Han, CHEN Qingyun, CHANG Yuxuan, HU Sile, TIAN Kanliang
    Yellow River. 2026, 48(3): 119-123.
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    Microbially induced calcium carbonate precipitation (MICP) technology has attracted wide attention as an economical, environmentally friendly, and durable method for wind prevention and sand control. To provide new technical support for applying MICP in desertification control, two curing methods (PVC board and baffle) were designed, and urease-producing bacteria together with cementation solutions at two concentrations (1.5 mol/L and 2.0 mol/L) were introduced to prepare microbially consolidated sand barriers. The optimal curing method was explored by comparing the dry density and calcium carbonate content of the barriers under different curing conditions. The results showed that: a) MICP consolidation generated a large amount of calcium carbonate crystals between sand particles, cementing them together and forming microbially consolidated sand barriers; b) the baffle curing method achieved good consolidation in the shallow layer (0-10 cm) but was less effective and uniform in deeper layers (>10 cm), whereas the PVC board curing method maintained effective and uniform consolidation across different depths; c) increasing the cementation solution concentration enhanced both dry density and calcium carbonate content, but no significant difference was observed between 1.5 mol/L and 2.0 mol/L, indicating that solution concentration had no notable effect on the consolidation performance.
  • LI Huimin, YANG Ke, HE Yihan
    Yellow River. 2026, 48(3): 124-131.
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    To address the imbalance between water, energy, and food (WEF) resource supply and demand in major grain-producing regions, this study developed a system dynamics model of the Water-Energy-Food-Socio-Economic-Environment nexus for Henan Province. The model was used to simulate the dynamic responses of the resource system under various policy scenarios from 2012 to 2030. We designed multiple individual policies and policy combinations, including improvements in irrigation efficiency, adjustments in crop structure, optimization of energy supply, and population policies. The results demonstrated that  increase in irrigation efficiency reduced agricultural water use and raised the Water Security Index (WSI) from 1.046 to 1.109. Increasing the maize planting proportion to 50% elevated the province's share of national grain output from 10.38% to 10.45%. While expanding the planting area enhanced the Food Security Index (FSI), it also increased energy consumption. Renewable energy policies improved long-term energy security but raised short-term emissions. Population policies alleviated labor aging but intensified resource pressure. Policy combination analysis revealed that integrated measures could significantly enhance the comprehensive WEF security index.
  • LUO Keyi, MA Fuheng, YE Wei
    Yellow River. 2026, 48(3): 132-138.
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    The inverted siphon project is a key node in the water diversion project. In order to ensure its safe operation, the risk factors are identified from four aspects: natural, engineering, human and management, and the inverted siphon risk evaluation index system is established. Considering the difference of risk factors, risk factors are divided into dynamic and static categories. Dynamic risk indicators appear as random variables with probabilities following a normal distribution. Based on measured data, the risk value is standardized and quantified to calculate the risk magnitude. The results show that the risk assessment results based on static-dynamic risk factors can reflect the importance of risk factors in the inverted siphon project. From the risk assessment results, it can be concluded that the impact of natural and engineering type risks on the inverted siphon project is relatively high. The rainstorm flood risk value in the dynamic risk factors is relatively high, the geological problems in the static risk factors have a relatively large impact on the inverted siphon project, and the risk value of adverse geology and filling quality is relatively high. Later, targeted risk management and control measures can be proposed for the disposal of static factors and the prevention and control of dynamic factors.
  • JIANG Boyi, HUANG Rui, LI Wei
    Yellow River. 2026, 48(3): 139-145.
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    In this study, a bibliometric analysis was conducted to identify the distribution of research hotspots and evolutionary trends across 2 203 research papers. The findings reveal that current research on hydropower adaptation to climate change primarily focuses on the effects of climate change on hydropower generation capacity, the climate risk exposure of hydropower projects, the anticipated effectiveness of adaptation measures, and the socio-economic implications of altered energy output. However, gaps remain in the integration of climate, ecological, and energy factors, the technological methods for adaptive measurement, and strategies for adaptive management. A comprehensive technical model was proposed for climate change adaptation assessment for hydropower projects, outlining a methodological framework encompassing “baseline calibration-risk identification-capacity assessment-adaptation measures.” Based on a classical case study, the objectives and key focuses of assessment are clarified, the applicable scope and processes are detailed, and a 60-year data review identifies risk-inducing factors and exposed entities. Additionally, stress-response chains and risk outcomes are identified, leading to the proposal of targeted adaptive management strategies.
  • SUN Boyang, ZHANG Yusheng, SU Peilan, WU Jianhua, PEI Yilin
    Yellow River. 2026, 48(3): 146-151.
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    To explore the influence of variable speed adjustment and valve regulation on the energy consumption of pump stations under different water demand flows, this paper took the first-level pump station in Shitie Irrigation District, Yuci District, Jinzhong City, as the basis, introduced the variable speed ratio and pipeline head loss coefficient, and constructed a two-stage optimization mathematical model for the energy-saving operation of the pump station with the goal of minimum annual waste water and minimum power. The hydraulic parameters, such as annual waste water, pump station power, pump head, and pump station efficiency, were simulated under different operation modes. The results show that under different water demand flow rates, the optimized operation mode of the pump station reduce the average annual waste water volume by 4 267 872 m3 and the pump station average power by 24.1%. In the optimal operating mode, the efficiency of the pump station shows an overall trend of first increasing, then decreasing, and then increasing again with the increase of water demand flow rate, and the pump head increases with the increase of water demand flow rate. The use of the same gear ratio for variable speed regulation in parallel operation of multiple water pumps is not optimal, and it is necessary to determine the gear ratios of different water pumps to avoid causing an increase in pump station power.
  • WANG Chaoliang, GUO Rongxing, ZHAO Xuezhuan, WANG Jun, ZHAO Niyuan, CHEN Jimin
    Yellow River. 2026, 48(3): 152-156.
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    Faced with the problem of insufficient accuracy in traditional water quality parameters prediction methods when dealing with complex nonlinear water quality parameters change, a CNN-Transformer-based parallel prediction model for water quality parameters in the Yellow River was proposed, based on the periodic and nonlinear characteristics of water quality parameters change. This model predicted dissolved oxygen, permanganate index, ammonia nitrogen, and total phosphorus at the Qilipu monitoring section of the Yellow River from 2020 to 2025. The model inputed monitoring data in parallel into the CNN (Convolutional Neural Network) module and the Transformer module, respectively extracting local detail features and global dynamic features, and used a fully connected layer to map the fused features to the prediction results. Comparing the prediction performance of the CNN-Transformer model with RNN (Recurrent Neural Network), CNN, LSTM (Long Short-Term Memory), and Transformer models, the results show that, compared with the other four models, the CNN-Transformer model reduces MSE by 3.93%~10.96%, RMSE by 5.82%~9.33%, MAE by 12.44%~14.48%, and improves R2 by 6.56%~26.65%, demonstrating the most outstanding performance.
  • LIU Kang, LIU Xingning, SUN Yong, LIU Liang, JIA He, ZENG Tao, ZHANG Yaofei
    Yellow River. 2026, 48(3): 157-162.
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    The flow field information of axial flow pumps serves as the basis for operational stability analysis and structural optimization design. Due to the limitations of measurement technology, it is challenging to obtain complete flow field information during operation. Therefore, an improved Physics-Informed Neural Network (PINN) model was proposed for reconstructing the flow field under sparse data conditions. Firstly, the flow field problem was described by analyzing physical constraints, boundary conditions, and flow field constraints. Then, a 3D Convolutional Neural Network (3D CNN) was introduced to solve the flow field problem. Lastly, the Finite Volume Method (FVM) was used for numerical simulation to obtain steady-state velocity and pressure distribution information. After meshing preprocessing, 1% of the flow field data was sampled for model training. To validate the proposed method, a simplified axial flow pump pipeline was used as a test case. The results indicate that the reconstructed flow field using the improved PINN model closely matches the FVM-simulated flow field, with pressure being largely consistent and velocity trends being similar, exhibiting only minor deviations in the flow field regions near the impeller and guide vanes. This demonstrates that the proposed method can accurately predict the three-dimensional flow field under sparse data and complex boundary conditions.