Yangtze Research Articles

Spatiotemporal variations in potential evapotranspiration in the Yellow River and Yangtze River Basins under changing environments: impacts on runoff and their causes

Spatiotemporal variations in potential evapotranspiration in the Yellow River and Yangtze River Basins under changing environments: impacts on runoff and their causes

Optimizing the Allocation of CO2 Emission Rights in the Yangtze River Delta City Agglomeration Region of China Based on Equity, Efficiency and Sustainability

Optimizing the Allocation of CO2 Emission Rights in the Yangtze River Delta City Agglomeration Region of China Based on Equity, Efficiency and Sustainability

Exploring the Path of Balanced Development: The Decoupling Evaluation of Agricultural Production Efficiency and Land Carrying Capacity

ABSTRACTHigh‐quality development in agriculture is crucial for maintaining the harmonious balance between human society and the natural environment, and promoting this development model is one of the key measures to alleviate land degradation issues. This study, grounded in the PRED theory (Population, Resources, Environment, and Development theory) framework, establishes an evaluation system for high‐quality agricultural development by selecting 128 cities within the Yangtze River Economic Belt as its samples. It quantifies land carrying capacity, utilizes the Stochastic Frontier Analysis (SFA) model to assess agricultural production efficiency, and applies the Tapio decoupling model to analyze the interplay between these two factors. The results reveal that the land resource carrying index has risen from 1.245 to 1.70, indicating an escalating tension between population and food resources. Furthermore, agricultural production efficiency has seen a 16.56% increase, reflecting positive advancements in agricultural production across the region. Spatial distribution analysis shows that the standard deviation ellipse is concentrated in the mid and lower reaches, centered in Changde, Hunan, and expanding westward, with a broader coverage area and perimeter. Additionally, the decoupling relationship between land carrying capacity and agricultural production efficiency primarily manifests in three forms: strong negative decoupling, weak decoupling, and expansive negative decoupling. This research offers significant insights for effectively mitigating the strain between population growth and resource‐environmental carrying capacity.

The 'Zero consumption' phenomenon of elderly people's sports and leisure in the Yangtze River delta region

This study investigates the current status of the "zero consumption" phenomenon in sports and leisure activities among elderly individuals in the Yangtze River Delta region, analyzing its characteristics and underlying causes. Data related to the consumption of sports and leisure activities among the elderly in this region were obtained through methods such as questionnaires and interviews. The results indicate that "zero consumption" in elderly sports and leisure activities is a common social phenomenon in the Yangtze River Delta region of China. It is not only a result of economic income constraints but also a consumption trend formed under the influence of various factors such as aging and declining physical fitness. While "zero consumption" does not significantly affect the elderly' s participation in sports and leisure activities, it may to some extent impact the diversification of these activities. Given the current participation status of elderly individuals in sports and leisure activities in China, it is still unable to play a crucial leading role in the development of the leisure industry as seen in developed countries.

Enhancing employee performance appraisal through optimized association rule algorithms: a data mining approach.

The planning and development department of the China Yangtze river three gorges engineering development corporation aims to improve its intelligent performance management system in accordance with the company's vision. This paper presents a study on enhancing intelligent performance management in the Planning and Development Department of the China Yangtze River Three Gorges Engineering Development Corporation. By combining data mining techniques with association rule algorithms, a performance prediction model was established. The goal is to explore a performance management system aligned with the company's vision and the specific characteristics of construction enterprises. Experimental results show the effectiveness of the GABPNN model, achieving a prediction error of 5% or less in seven out of seventeen sample points, with a maximum relative error of 20.86%. The suggested performance management system presents a useful strategy for construction companies to improve their performance evaluation procedures, boosting overall management efficiency and aligning with their distinctive traits.

Analysis of Synergistic Changes in PM2.5 and O3 Concentrations Based on Structural Equation Model Study

Given the increasing importance of effectively identifying synergistic changes between PM2.5 and O3 and comprehensively analyzing their impact on air quality management in China, we employ the Sen+Mann–Kendall (Sen+M-K) trend test in this study to examine the temporal and spatial variation trends of PM2.5 and O3 in the Yangtze River Delta (YRD), from 2003 to 2020. We identified the regions where these pollutants exhibited synergistic changes and established the pathways between the pollutants and their potential drivers, using geographically weighted random forest algorithms and structural equation modeling. The study results revealed as follows: (1) Overall, the PM2.5 concentrations show a decreasing trend, while the O3 concentrations exhibit an increasing trend, in the YRD. Analysis of the combined trends indicates that approximately 95% of the area displays opposing trends for PM2.5 and O3, with only about 4% in the southern region showing synergistic trends for both pollutants. (2) Drought and the average temperature are the main drivers of the changes in PM2.5 and O3 concentrations in areas experiencing synergistic changes. Their combined effects alleviate the aggregation of PM2.5 and reduce the formation of VOCs, indirectly reducing the generation of pollutants. The negative effect of the average temperature on the O3 concentration may indicate the existence of nonlinear effects and complex interaction effects between the drivers. NOx and VOCs play important dual roles in the generation and conversion of pollutants, although their overall impact is smaller than meteorological factors. They produce significant indirect effects through their interaction with meteorological and other human factors, further affecting the concentrations of PM2.5 and O3. In areas without coordinated changes, the main impact of meteorological factors remains unchanged, and the relationship between the two anthropogenic emission sources and their effects on PM2.5 and O3 are complex, with different directions and levels involved. This study provides detailed insights into the drivers of air quality changes in the YRD and offers a scientific basis for environmental management authorities to develop more comprehensive and targeted strategies for balancing the control of PM2.5 and O3 pollution.

Provenance of the Xiashu loess in the lower reaches of the Yangtze River, China: a review

Provenance of the Xiashu loess in the lower reaches of the Yangtze River, China: a review

Research on the efficiency and spatiotemporal evolution characteristics of agricultural green development in central cities of the Yangtze River Delta

IntroductionAgricultural green development (AGD) prioritizes sustainable growth by integrating economic, ecological, and social dimensions, aiming to harmonize agricultural economic development with environmental protection and social progress.MethodsThis study integrates the three-stage super-efficiency DEA-SBM model with the BP algorithm, creating an advanced DEA-SBM-BP model to overcome the shortcomings of traditional DEA in evaluation and management processes. The study further applies the Dagum Gini coefficient, kernel density estimation (KDE), and Moran’s index to assess and forecast the efficiency and spatiotemporal evolution patterns of green agricultural development in key cities within the Yangtze River Delta.ResultsThe analysis shows that AGD in the central city of the Yangtze River Delta is overall balanced; however, substantial variations exist among cities within individual provinces. Factors like macroeconomic conditions, workforce quality, and policy support play a crucial role in promoting the efficiency of AGD. Among these, macroeconomic development level has a negative impact, while labor quality and policy support exhibit bidirectional effects. Infrastructure construction, digitalization of agricultural economy, and rural security have become key factors in the green development of modern agriculture. The green advancement of agriculture in the central Yangtze River Delta region typically exhibits a marked clustering effect; however, the local clustering reveals a trend toward dispersed development.DiscussionDespite the emergence of new characteristics in agricultural production in China within the context of high-quality development, differences in resource endowments and economic structures among cities continue to be significant factors contributing to regional imbalances and changes in the agglomeration patterns of agricultural development.

Wetland restoration, household income, and livelihood structure of farmers

BackgroundWetland restoration is an important measure for restoring wetland ecosystems and their ecological benefits, with the goal of restoring their ecological functions and resources. However, wetland restoration affects farmers' incomes and livelihoods. Although existing research has contributed to a deeper understanding of the relationship between wetland restoration and farmers' household incomes, some issues require further consideration. Therefore, here, we aimed to analyse the impact of wetland restoration on farmers' incomes and provide empirical evidence for the coordination mechanism of protection and development in the Poyang Lake Wetland in Jiangxi Province.MethodsBased on 2 years of balanced panel data of 365 households around the Poyang Lake wetland, this study analysed the influence of policies related to wetland restoration and how variables such as the cultivated land area, labour force transfer, and location of nature reserves impact farmers' income. To this end, we used a two-way fixed-effect model to test the robustness by using propensity score matching, and the influence mechanisms of wetland protection policies, such as wetland restoration, wetland ecological compensation, and the Yangtze River fishing ban, on farmers' income interactions were explored.Results and discussionThe results showed that, due to the policy of wetland restoration was implemented a long time ago, the negative impact of the policy on reducing farmers' household income is not significant now. Further, farmers' family livelihood strategies have changed, and choosing other types of agricultural production and off farm employment are currently the main choices for farmers. Wetland restoration has changed their income structures. Additionally, the two wetland restoration policies and banning of fishing have had synergistic effects. The findings of this study are helpful in understanding how wetland restoration around nature reserves influences farmers' household incomes. Further, they can provide policy insights for promoting an increase in income and the optimization of the income structure of communities around lake wetland nature reserves.

Propagation Diversity of 20–40‐Day Oscillation of Summer Precipitation in the Middle and Lower Reaches of the Yangtze River

AbstractThe summer precipitation in the middle and lower reaches of the Yangtze River (MLYR) is characterized by obvious intra‐seasonal oscillations. This study investigates the propagation diversity of the 20–40‐day summer precipitation oscillation in MLYR and its underlying mechanism. The 20–40‐day oscillation events manifest as three types: northward propagation, southward propagation, and local oscillation. For northward and southward events, the propagation of precipitation is accompanied by the movement of 20–40‐day low‐frequency cyclonic vortices in the lower troposphere. Further investigation into the mechanism of anomalous vorticity propagation accompanying low‐frequency vortices reveals that positive relative vorticity advection in the north of the vortex facilitates its northward propagation. Moreover, the positive advection is primarily reliant on the background southerly winds to transport the low‐frequency vorticity. Diabatic heating dominates the southward propagation of low‐frequency precipitation. The center of the latent heating is located in the south of the low‐frequency vortex, which steers its southward migration. Furthermore, the uneven spatial distribution of latent heating across the vortex may be attributed to the non‐uniform distribution of mean humidity. Based on the above results, sensitivity experiments are conducted using a regional climate model (RegCM4.6). The results demonstrate that when the southerly winds are increased (decreased) or the specific humidity gradient is decreased (increased), the southward (northward) events weaken and disappear, or transitioned into local oscillations or northward (southward) events. This further validates the physical processes through which the basic flow and humidity inhomogeneities affect the meridional propagation of the 20–40‐day oscillations of precipitation.

Comparative Analysis of Transit-Oriented Development (TOD) Types in the Metropolitan Region Along the Middle Reaches of the Yangtze River

Currently, with the acceleration of urbanization, traditional transportation modes are increasingly causing congestion, pollution, and resource waste, drawing widespread attention to Transit-Oriented Development (TOD). TOD is an urban development concept that advocates the implementation of high-density, mixed-use land utilization around transit stations to encourage the use of public transportation, reduce reliance on private vehicles, and achieve more sustainable urban growth. The ‘node–place’ model is a classic analytical framework in TOD typology, forming the foundation for assessing TOD effectiveness. However, this model requires expansion due to its limited adaptability. This study aims to bridge this gap by proposing an innovative, network-based ‘node–place–convenience (NPC)’ model to enhance insights on the overall assessment of metro networks. Using a combination of CRITIC weighting and K-means++ clustering, this study evaluates TOD in cities with metros in the middle reaches of the Yangtze River. By assessing node, place, and convenience values of metro stations, this study compares how different urban structures, population distributions, and metro network configurations impact travel behavior, economic vitality, and regional sustainability. The results show that TOD degree in Wuhan decreases from urban to suburban areas, presenting ‘center to sub-center’ pattern in Changsha, and presenting ‘ring-radial’ distribution across the city center in Nanchang. The clustering results divide TOD benefits into six groups, with Changsha performing the best, followed by Wuhan, while Nanchang still has room for improvement. The average TOD benefits for Wuhan, Changsha, and Nanchang are 0.28, 0.35, and 0.28.

Evaluation the ecological service value of the Yangtze River water systems

Evaluation the ecological service value of the Yangtze River water systems

Sediment Dynamics Subject to Sea Level Rise in the Yangtze River Estuary

Sediment Dynamics Subject to Sea Level Rise in the Yangtze River Estuary

Occurrence, spatiotemporal distribution, and health risk of antibiotics in the Wuhan section of the Yangtze River, China.

The occurrence, spatiotemporal changes, and health hazard of antibiotics in source water and finished water in the Wuhan section of the Yangtze River are not well understood. In this study, 43 source water and finished water samples were collected from 11 water plants in Wuhan in August 2021 and May 2022. Fifty-one antibiotics from eight categories were measured. A total of 41 antibiotics were detected in the source water samples, and 24 in the finished water samples. The total antibiotic concentration in source water ranged from 1.68 to 437.18 ng/L, which is significantly higher than that in finished water (2.04-87.25 ng/L). Sulfonamides and lincosamides were predominant, accounting for nearly 80% of the total antibiotic concentration. Lincomycin constituted nearly 30% of the total antibiotic concentration in the source water. In August 2021, the average total antibiotic concentration in source water was 107.12 ng/L, higher than in May 2022 (63.13 ng/L). Spatially, the total antibiotic concentrations in samples collected from the Han River, a tributary of the Yangtze River, were higher than those in the main stream of the Yangtze River. Ecological risk assessment indicated that the hazard posed by most antibiotics were negligible. Lincomycin potentially posed a high health hazard, and clarithromycin and roxithromycin posed a moderate hazard to infants.

El Niño southern oscillation, weather patterns, and bacillary dysentery in the Yangtze River Basin, China.

Increasingly intense weather anomalies associated with interannual climate variability patterns, like El Niño-southern oscillation (ENSO), could exacerbate the occurrence and transmission of infectious diseases. However,research in China remains limited in understanding the impacts and intermediate weather changes of ENSO on bacillary dysentery (BD). This study aimed to reveal the relationship between ENSO, weather conditions, and theincidence of BD, and to identify the potential meteorological pathways moderated by ENSO inthe ENSO-BD connections. BD disease data and meteorological data, as well as ENSO index, from 2005 to 2020 were obtained for 95 cities in the Yangtze River Basin. We first established the associations between ENSO events and BD, ENSO and weather, as well as weather and BDs using two-stage statistical models. Then, we applied a causal mediation analysis to identify the specific meteorological changes in the ENSO-BD relationship. In the Yangtze River Basin, both El Niño (IRR: 1.06, 95%CI: 1.04 ~ 1.08) and La Niña (IRR: 1.03, 95%CI: 1.02 ~ 1.05) events were found to increase the risk of BD. Variations of ENSO index were associated with changes in local weather conditions. Both the increases in regional temperatures and rainfall were associated with a higher risk of BD. In the casual mediation analyses, we identified that higher temperatures and excessive rainfall associated with La Niña and El Niño events mediatedthe ENSO's effect on BD, with mediation proportions of 38.58% and 34.97%, respectively. Long-term climate variability, like ENSO, can affect regional weather conditions and lead to an increased risk of BD. We identified the mediating weather patterns in the relationship between ENSO and BD, which could improve targeted health interventions and establish an advanced early warning system in response to the BD epidemic.

Location Preferences and Changes in Pollution-Intensive Firms from the Yangtze River Economic Belt, China

This study examined the location preferences and changes in pollution-intensive firms by analyzing the spatiotemporal distribution and drivers in the Yangtze River Economic Belt, a transitional manufacturing region in China. To analyze the distribution of firms under natural growth conditions prior to the implementation of the national “Great Protection of the Yangtze River” policy in 2016, this study utilized data on newly expanded industrial land use from 2007 to 2016. The results indicated that new pollution-intensive firms predominantly focused on water pollution, occupying over 40% of the total area annually. The new pollution-intensive firms preferred the geographic agglomeration siting strategy, mostly along the Yangtze River or in urban agglomerations, while gradually moving westward. The total area and number of new pollution-intensive firms in the Yangtze River Economic Belt showed an overall trend of “inverted U-shaped” variation during the study period, and the average size of the pollution-intensive firms gradually decreased. GeoDetector analysis revealed that geographical factors have always been significant. Local economic factors attracted new pollution-intensive firms, but later in the study period, these factors showed some inhibitory effect on the increase in pollution-intensive firms in the lower reaches. Government intervention worked less effectively but was significantly enhanced after interaction with other factors. Finally, the results suggested that local governments should build a stronger synergy between industrial land policies and environmental regulations to ensure sustainable growth and rational allocation of pollution-intensive firms.

Collaborative governance in action: driving ecological sustainability in the Yangtze River basin

Implementing a collaborative governance framework across administrative boundaries is crucial for preserving the Basin’s ecological integrity and mitigating institutional fragmentation. Based on 19 cases of inter-provincial collaborative governance of ecological environment in the Yangtze River Basin of China, this study uses the fuzzy set qualitative comparative analysis method to explore the influencing factors and complex causal mechanism of the effect of inter-provincial collaborative governance. The results show that technology empowers relationship driving, institutions reinforce interactive driving, and internal and external interaction driving modes promote collaborative governance. Perceived factors are essential in motivating provinces to participate in collaborative governance. External factors play a hygienic role in collaborative governance, and internal factors play a motivated role. The roles of the two types of factors are separate but complementary. In view of this, government should attention to regional environmental concerns, ensuring consistent alignment of internal and external factors and fostering synergies to improve governance effectiveness.

Effects of the excavation of deep foundation pits on adjacent approach bridges: a case study of Nanjing Yangtze River Bridge

Effects of the excavation of deep foundation pits on adjacent approach bridges: a case study of Nanjing Yangtze River Bridge

Inference of Genetic Diversity, Population Structure, and Selection Signatures in Xiangxi White Buffalo of China Through Whole-Genome Resequencing

(1) Background: Buffaloes are crucial livestock species for food and service in tropical and subtropical regions. Buffalo genetics, particularly in indigenous Chinese breeds such as the Xiangxi white buffalo (XWB), remains an intriguing area of study due to its unique traits and regional significance. (2) Methods: This investigation utilized the whole-genome sequences of twenty XWBs (newly sequenced), along with eighty published whole-genome sequences of other buffalo breeds (including Guizhou white buffalo, river buffalo, and Chinese buffalo in the Yangtze River). Using whole-genome sequencing analysis technology, the population structure, genomic diversity, and selection signatures of XWB were determined. (3) Results: This study revealed that the XWB, being phylogenetically positioned in the middle and lower reaches of the Yangtze River, exhibited substantial genomic diversity. Employing four selection sweep detection methods (CLR, iHS, π-ratio, and FST), several genes were positively identified for adaptive traits in the XWB, including coat color phenotypes (ASIP, KIT), the nervous system (GRIK2), reproduction (KCNIP4), growth and development (IFNAR1, BMP6, HDAC9, MGAT4C, and SLC30A9), the body (LINGO2, LYN, and FLI1), immunity (IRAK3 and MZB1), and lactation (TP63, LPIN1, SAE1). (4) Conclusions: In conclusion, this study enhances our understanding of the genetic distinctiveness and adaptive traits of XWB, highlighting selection signatures crucial for future breeding and conservation and ensuring sustainable use of this vital livestock resource.

Modeling the Effect of Milk Vetch–Rice Rotation on N Runoff Loss in the Middle and Lower Reaches of the Yangtze River

The winter planting of green manure (GM) is widely used in South China to reduce chemical nitrogen (N) fertilizer use, improve soil fertility, and maintain rice yields, but its effect on N runoff loss in paddy fields remains unclear. This study combines multi-site field experiments with a process model (WHCNS-Rice) to assess how GM with reduced N fertilizer impacts N runoff loss and its forms in the Yangtze River’s middle and lower reaches, considering different rainfall years. The network field experiments included four treatments: conventional fertilization (FR), conventional fertilization plus straw return (FRS), GM with a 40% N reduction (MR), and GM-straw combined return with a 40% N reduction (MRS). Monitoring the results showed that compared to the winter fallow treatment, the GM treatments reduced the peak and average total N (TN) concentrations by 11.1–57.9% (average 26.9%) and 17.1–27.3% (average 22.3%), respectively. The TN runoff loss under the GM treatment decreased by 3.50–10.61 kg N ha−1 (22.5–42.1%). GM primarily reduced the runoff loss of dissolved inorganic N (DIN), with reductions at different sites ranging from 0.22 to 9.66 kg N ha−1 (8.4–43.4%), indicating GM effectively decreases N runoff by reducing DIN. Model simulations of ponding water depth, runoff, TN concentration in surface water, and TN loss in paddy fields produced the consistency indices and simulation efficiencies of 0.738–0.985, 0.737–0.986, 0.912–0.986, and 0.674–0.972, respectively, indicating that the model can be used to evaluate water consumption and N runoff loss in the GM-paddy system. The simulations showed that GM with a 40% N fertilizer significantly reduced N runoff loss under all rainfall conditions, with the greatest reductions in wet years. Under wet, normal, and dry conditions, the GM treatments significantly reduced average TN loss by 0.37–5.53 kg N ha−1 (12.77–29.17%), 0.21–5.32 kg N ha−1 (9.95–24.51%), and 0.02–3.2 kg N ha−1 (1.78–23.19%), respectively, compared to the winter fallow treatment. These results indicate that the combination of GM and a 40% reduction in N fertilizer can significantly reduce N runoff loss from paddy fields, demonstrating good effectiveness under various rainfall conditions, making it a green production model worth promoting.