Study on High Quality Development Strategy of the Yellow River Basin-Take Rural Development in Zhengzhou, China as an Example

High-quality development of the Yellow River Basin is a development strategy that China has been vigorously promoting in recent years,and it is also an important point to realize the goal of balanced regional development and the Chinese dream in the long term.In the context of the implementation of the strategy,Zhengzhou,as a major city in the central region where the Yellow River flows through,has a strong driving effect on the surrounding counties and cities.At the same time,Zhengzhou’s rural modernization process is gradually accelerated,and the poverty alleviation has achieved remarkable results.Therefore,this paper introduces the development background of the Yellow River Basin region,explores the significance of this strategy for the basin region,and takes the rural construction of Zhengzhou as an example to look into the future development path.

Rural Domestic Sewage Treatment Model: Case Study Based on Dongying Section of the Yellow River Basin

The 20th National Congress of the Communist Party of China proposed to promote the improvement of urban and rural living environment and build livable and workable villages and beautiful villages. The development and challenges of rural domestic sewage treatment coexist. Based on the field investigation of 15 administrative villages in 3 districts and counties of Dongying City, there is a big gap between the development status of rural domestic sewage treatment and expectations. Investigate rural domestic sewage treatment cases in-depth, and condense four modes of primitive, developmental, mature and advanced in a variety of different rural domestic sewage treatment models for discussion, among which, the village sewage treatment work under the mature mode has achieved remarkable results, and is at the forefront of the current rural domestic sewage treatment. Through the multi-case analysis method, the practical dilemma of sewage treatment in different models of villages is summarized, and the feasible improvement path is explored, which contributes to the ecological protection and high-quality development of Dongying and the Yellow River Basin.

Spatiotemporal variations and driving factors of habitat quality in the loess hilly area of the Yellow River Basin:A case study of Lanzhou City,China

Rapid industrialization and urbanization have led to the most serious habitat degradation in China,especially in the loess hilly area of the Yellow River Basin,where the ecological environment is relatively fragile.The contradiction between economic development and ecological environment protection has aroused widespread concern.In this study,we used the habitat quality of Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST-HQ)model at different scales to evaluate the dynamic evolution characteristics of habitat quality in Lanzhou City,Gansu Province of China.The spatiotemporal variations of habitat quality were analyzed by spatial autocorrelation.A Geographical Detector(Geodetector)model was used to explore the driving factors that influencing the spatial differentiation of habitat quality,including natural factors,socio-economic factors,and ecological protection factors.The results showed that the habitat quality index of Lanzhou City decreased from 0.4638 to 0.4548 during 2000-2018.The areas with reduced the habitat quality index were mainly located in the Yellow River Basin and Qinwangchuan Basin,where are the main urban areas and the new economic development areas,respectively.The spatial distribution of habitat quality presented a trend of high in the surrounding areas and low in the middle,and showed a significant positive spatial autocorrelation.With the increase of study scale,the spatial distribution of habitat quality changed from concentrated to dispersed.The spatial differentiation of habitat quality in the study area was the result of multiple factors.Among them,topographic relief and slope were the key factors.The synergistic enhancement among these driving factors intensified the spatial differentiation of habitat quality.The findings of this study can provide a scientific basis for land resources utilization and ecosystem restoration in the arid and semi-arid land.

Analysis on the green development of urban agglomeration in the Yellow River basin

After the ecological protection and high quality development of the Yellow River basin became the national strategy,the new idea of river basin development with urban agglomeration as the main body was clarified.Promoting high-quality development of urban clusters in the Yellow River Basin is not only an important practice of the concept of harmonious coexistence between man and nature,but also conducive to exploring new paths of high-quality development that can be copied and popularized.In the process of promoting development,we should adhere to the principle of overall planning and differentiated development.On the basis of constantly improving cross-regional environmental administrative coordination,strengthening the radiation driving role of central cities,and establishing and improving the cross-regional ecological compensation mechanism,we should adopt different measures according to the requirements of ecological priority and green development,so as to form a new competitive advantage that is both unified and distinctive.

Mathematical Statistics and Spatial Aggregation Characteristics Analysis of Culture, Sports, and Tourism Resources in the Yellow River Basin Based on POI Data

As a priority of China’s regional development strategy in recent years, promoting the ecological protection and high-quality development of the Yellow River Basin is one of the important tasks to boost the country’s economy and also the key to the development strategy in the central region at this stage. High-quality development of the Yellow River Basin based on the perspective of culture, sports, and tourism integration is significant for the regional ecological protection and economic revitalization. In order to measure the development of culture, sports, and tourism resources in the basin, the study applied the CRITIC model in Mathematical Statistics, the fuzzy comprehensive evaluation model, and the entropy weight TOPSIS analysis model. The results indicated that the development of the three resources in the basin varies from region to region, among which Shaanxi, Shandong, and Henan provinces have developed outstandingly while western provinces in China haven’t. In addition, this study identified the spatial geographic extent and analyzed the POI (points of interest) of culture, sports, tourism, and mixed resource based on the data analysis to explore the spatial distribution characteristics and trend of changes in the Yellow River Basin. The study also made suggestions for the development of culture, sports, and tourism resources in the basin from different perspectives based on the developed theoretical model, aiming to promote high-quality development of the area.

Assessment on eco-environmental quality of the Yellow River Basin by considering desertification index

Desertification has had a significant impact on the ecological environment of the Yellow River Basin(YRB)in China.However,previous studies on the evaluation of the ecological environment quality(EEQ)in the YRB have paid limited attention to the indicator of desertification.It is of great significance to incorporate the desertification index into the spatiotemporal assessment of the EEQ in the YRB in order to protect the ecological environment in the region.In this study,based on multi-source remote sensing data from 91 cities in the YRB,this article proposes a desertification remote sensing ecological index(DRSEI)model,which builds upon the traditional Remote Sensing Ecological Index(RSEI)model,to analyze the spatiotemporal changes in the EEQ in the YRB from 2001 to 2021.Furthermore,using the geographic detector(GD),and geographically and temporally weighted regression(GTWR)model,the study assesses the impact of human and natural factors on the EEQ in the YRB.The research findings indicate that:(1)Compared to the traditional RSEI,the improved DRSEI shows a decreasing trend in the evaluation results of the EEQ.Among the 24 cities,the change in DRSEI exceeds 0.05 compared to RSEI,accounting for 26.37%of the YRB.The remaining 67 cities have changes within a range of less than 0.05,accounting for 73.63%of the YRB.(2)The results of the GD for individual and interactive effects reveal that rainfall and elevation have significant individual and interactive effects on the EEQ.Furthermore,after the interaction with natural factors,the explanatory power of human factors gradually increases over time.The spatial heterogeneity results of GTWR demonstrate that rainfall has a strong direct positive impact on the EEQ,accounting for 98.90%of the influence,while temperature exhibits a more pronounced direct inhibitory effect,accounting for 76.92%of the influence.Human activities have a strong negative impact on the EEQ and a weak positive impact.

Characteristics and influencing factors of greenhouse gas emissions from reservoirs in the Yellow River Basin:A Meta-analysis

Reservoir construction and operation profoundly alter the hydrological,hydrodynamic,and carbon and nitrogen cycling processes of rivers.However,current research still lacks a systematic understanding of the characteristics of greenhouse gas(GHG)emissions from reservoirs in arid/semi-arid regions.This study integrates existing monitoring data to discuss the characteristics of GHG emissions from reservoirs in the Yellow River Basin and illustrate the controlling factors and underlying mechanism of these processes.The results indicate that while CO_(2) emission flux from reservoirs is lower than that from river channels,the emission fluxes of CH_(4) and N_(2)O are 1.9 times and 10 times those from rivers,respectively,indicating that the emission of GHG with stronger radiative effect is significantly enhanced in reservoirs.Compared to the reservoirs in humid climates(e.g.,the Three Gorges Reservoir),reservoirs in the Yellow River Basin exhibit relatively lower emissions of CO_(2) and CH_4 due to lower organic matter concentrations,but significantly higher N_(2)O emissions due to higher nitrogen loads.Monte Carlo simulations for 237 reservoirs in the Yellow River Basin showed that total emission of the three GHGs is 3.05 Tg CO_(2)-eq yr^(-1),accounting for 0.39% of the total emission from global reservoirs and lower than the area percentage of the basin(0.53%).This study has important implications on revealing the GHG emission characteristics and control mechanisms of reservoirs in arid/semi-arid regions.

The Influence of the Urban-Rural Income Disparity on the Industrial Structure—Taking the Yangtze River Delta Region as an Example

In this paper, the effect of the mediation effect is mainly used to test and analyze the regression model, and most scholars have studied the impact of the modernization of the industrial structure on the income gap. However, this paper is from another perspective, based on the social background of high-quality development, the main study is the impact mechanism of urban and rural income gap on the industrial structure, taking the Yangtze River Delta as the main research object, and specifically selecting 22 central cities in the Yangtze River Delta region, which is also one of the highlights of this study. The regression model is constructed by using the intermediary effect, and the four intermediary variables of fiscal expenditure (M1), fixed asset investment (M2), number of patent applications (M3), and total import and export (M4) are selected, which represent the role of the government, fixed asset investment, scientific and technological level and opening-up level, and study and analyze the inherent influence mechanism between each variable. Before doing specific research, I consulted the papers and literature of many other outstanding scholars, among which Cheng Yuhong and Cheng Chi’s “The Influence Mechanism of industrial structure of urban and rural income gap” [1] has great reference value for this paper. According to the research results, under the background of high-quality development in the Yangtze River Delta region, the expansion of the income gap between urban and rural areas will inhibit the upgrading of the industrial structure, so it is necessary to focus on building a new type of urbanization, accelerating the construction of an urban innovation system, optimizing the rural employment structure to narrow the income gap between urban and rural areas, and providing impetus for the continuous upgrading of the industrial structure.

Spatial-temporal variation and attribution of salinization in the Yellow River Basin from 2015 to 2020

Under the pressure of SDG15.3.1 compliance,it is imperative to solve the land salinization degradation problem in the Yellow River Basin as China’s granary.From the view of geographical scale,six zoning units were divided in the Yellow River Basin with‘climate-meteorology-geomorphology’as the main controlling factor,and a salinization inversion model was constructed for each zoning unit.Appropriate surface parameters were selected to construct a three-dimensional feature space according to the individual geographical zones.Based on the cloud data processing capability of the Google Earth Engine platform,a feature space inversion process was applied for automatic inversion of salinization.Salinization distribution maps of the Yellow River Basin in 2015 and 2020 were obtained at 30 m resolution by classifying the salinization inversion result.The distribution and spatiotemporal variation of salinization as well as the causes of salinization were analyzed.Reasonable prevention and control suggestions were subsequently proposed.This study could also be scaled up to larger and more complex geographical regions.

黄河流域煤炭开发区地下水污染成因分析及防治建议

[研究目的]黄河流域内由于煤炭资源开发导致地下水污染严重,从整体角度对流域内重点煤炭开发区地下水进行归纳总结,为其可持续健康发展和地下水资源改善提供防治建议。[研究方法]从黄河流域战略地位出发,对地下水污染成因和污染模式进行归纳总结。采用改进后的综合水质指数法对流域内九大煤炭基地的地下水进行水质评价。选用主成分分析法赋权指标,并引入改进的内梅罗污染指数法,按照WPI分级法进行评价。[研究结果]通过对黄河流域各重点断面水质评价,得到目前流域内煤炭基地水质结果中Ⅲ、Ⅳ类占比较多,水质较差。分析成因当前流域内存在高矿化度矿井水、酸性矿井水和含特殊组分矿井水污染,同时阐述污染地下水形成的浅层和深层两种污染模式。[结论]对3种矿井水采用相应防治方法,并提出膏体充填技术和微生物修复技术2种防治技术建议,通过应用实际矿山为例,印证污染防治技术能够改善由煤炭开采引发的流域内地下水污染严重的问题,以期研究结果能够对成功推动中国绿色矿山的快速发展具有参考意义。

黄河流域城市高质量发展空间关联及障碍因子分析

基于新发展理念,构建综合评价指标体系,运用熵值法计算黄河流域61个地级市2010年、2013年、2016年和2019年的高质量发展水平综合得分,并运用自然间断点法、空间自相关和障碍度模型,分析黄河流域城市高质量发展的时空演变规律、空间关联性和障碍因子。结果表明:(1)黄河流域整体高质量发展水平不断提升。根据高质量发展水平将城市分为四大类,其中高水平城市主要为省会和中心城市,较高水平城市分布在中心城市周围,较低水平城市由下游向中上游扩散,低水平城市集聚在中上游。(2)黄河流域总体空间关联性较弱,局部存在集聚效应,东部高值区被高值区包围的高高集聚较明显,西部低值区被低值区包围的低低集聚较明显。(3)黄河流域城市高质量发展障碍因子主要包括入境旅游人数、外资依存度、万人专利申请量、外贸依存度和万人在校生数。基于此,提出黄河流域高质量发展相关建议。

黄河流域绿色高质量发展与绿色技术创新的动态关联分析

以黄河流域各省份2011—2020年的数据为研究样本,构建绿色高质量发展的评价指标体系,运用全局主成分—熵权法对绿色高质量发展综合指标进行测度,并采用聚类分析和面板向量自回归模型(PVAR)系统考察黄河流域绿色技术创新与绿色高质量发展水平的动态关联效应。研究结果表明:(1)2011—2020年,黄河流域各省份的绿色高质量发展水平整体呈上升趋势,不同地区的绿色高质量发展水平差异显著。(2)黄河流域的绿色技术创新与绿色高质量发展之间相互影响,各个省份绿色技术创新和绿色高质量发展水平一一对应。(3)黄河流域的绿色技术创新和绿色高质量发展之间存在明显的双向促进关系,且影响效果显著,即绿色高质量发展有助于绿色技术创新的提升,绿色技术创新能推动绿色高质量发展。

新时代黄河流域水土保持标准体系建设框架研究

为了贯彻落实《黄河保护法》,推动黄河流域水土保持各项工作规范化、标准化,满足黄河流域水土保持事业高质量发展的现实需要,根据《黄河保护法》有关规定,结合新时代黄河流域水土保持工作目标和特点,在全面分析水土保持标准体系建立的背景、意义及必要性的基础上,全面梳理现行的水土保持国家标准体系,广泛征集有关省(区)业务人员和专家的意见、建议,组织专家开展专题研究,提出了包括基础类、规划设计类、治理类、淤地坝类、监测类、监管类、信息化类、试验示范类等8类73项标准(其中沿用原有标准48项、建议新增标准25项)的黄河流域水土保持标准体系建设框架。

长三角地区数字经济对高端装备制造业高质量发展的影响研究——基于有调节的中介效应分析

借助数字经济实现高端装备制造业高质量发展是中国式现代化建设的重要议题。本文基于长三角地区面板数据,利用有调节的中介效应模型检验了数字经济对高端装备制造业高质量发展的影响。结果发现:数字经济可以显著促进高端装备制造业高质量发展,稳健性检验后仍然成立;数字经济通过技术创新正向促进高端装备制造业高质量发展,且技术创新发挥部分中介效应;政府支持对技术创新的中介效应发挥正向调节作用;进一步异质性检验发现,数字经济对不同地区、不同细分行业高质量发展的影响存在显著差异。最后,从三个方面提出相关建议:构建全方位的区域协调发展机制,提升融合效能;聚焦重点领域,推动核心技术突破创新;聚焦制度创新,释放政策红利。

沿黄城市生态保护与高质量发展耦合协调时空演变分析

为丰富黄河流域生态保护和高质量发展研究,并为沿黄城市经济发展提供对策建议,分别构建生态保护和高质量发展评价指标体系,以60个沿黄地级市为样本单元,采用熵值法对指标赋权并计算2010—2020年沿黄各市生态保护指数、高质量发展指数,采用耦合协调度模型计算生态保护与高质量发展耦合度、协调度并划分协调等级,计算相对发展度以判断生态保护与高质量发展耦合协调类型,分析沿黄城市生态保护与高质量发展耦合协调动态演变情况,结果表明:2010—2020年沿黄城市生态保护与高质量发展协调度大都稳中有升、少数城市呈下降趋势,2020年协调等级整体上还较低,尚有37个城市处于失调状态,生态保护与高质量发展的耦合协调任重道远;从空间上看,沿黄城市生态保护和高质量发展协调度总体上呈现下游>中游>上游的格局,研究时段生态保护与高质量发展协调度平均值大小排序前十位的城市多为沿海城市或省会城市、后十位的城市多为各省(区)的边缘城市,地理位置、资源禀赋、政策扶持程度和经济发展模式等对耦合协调度有重要影响;2020年沿黄城市生态保护与高质量发展耦合协调类型为生态保护滞后型的城市有31个、为均衡型的城市有5个、为生态保护领先型的城市有24个,表明沿黄城市生态保护整体上滞后于高质量发展。

混合式抽水蓄能电站群容量计算研究Ⅰ:短期调峰特征与梯级开发增益

依托常规梯级水电站修建混合式抽水蓄能电站(简称混蓄电站)成为提升电力系统调峰能力的重要途径。混蓄电站即可抽水又可发电的典型运行方式增加了水电基地的灵活性调节能力,为此亟需研究其运行方式以及与原有梯级水电站运行方式间的互馈关系。研究以黄河上游待开发龙羊峡-拉西瓦、拉西瓦-尼那混蓄电站为对象,建立含混蓄电站的梯级水电站短期联合调峰优化模型,分析混蓄电站对原有梯级水电站运行方式的影响,基于理论推导与数值计算两种方法揭示混蓄电站调峰效果的变化特征。主要结论如下:(1)混蓄电站抽水水量经由原有梯级水电站机组下泄,使得非填谷时段原有水电站出力增加,水电站上旋备容量降低;(2)龙羊峡水电站满发流量相对较小、拉西瓦水库调节库容较小以及日综合利用供水流量过大是制约混蓄电站调峰效果的主要因素,发现了综合利用流量影响混蓄电站调峰效果的临界特性,并提出了临界综合利用流量的计算公式;(3)发现并量化了混蓄电站梯级开发模式较单一开发模式所带来的梯级抽水调峰增益现象,并揭示了梯级抽水调峰增益背后所蕴含的“河流梯级反向再造”内在机理。

黄河流域“水资源-生态保护-高质量发展”空间均衡性诊断

为促进黄河流域空间均衡发展,在测算黄河流域9个省区水资源可承载水平、经济社会发展水平以及生态保护水平的基础上,分析了各省区内部水资源、生态环境和经济社会3个子系统间的耦合协调发展水平,并分别以水与经济均衡、水与生态均衡、经济与生态均衡为子目标,构建了空间均衡性诊断模型,对黄河流域相邻“省区对”进行了空间均衡性诊断,反向追踪各“省区对”空间不均衡的原因。结果显示:除宁夏、甘肃外,黄河流域其他省区内部3个子系统间均已达到初级或中级协调发展阶段;黄河流域上游和下游的相邻“省区对”分别通过了均衡性判别;宁夏、甘肃、山西和内蒙古4个省区严重影响了省区间的均衡性,抑制了黄河流域整体的空间均衡发展。

数字经济赋能长三角制造业高质量发展——空间溢出与机制识别

基于2011—2021年长三角地区41个城市的面板数据,采用主成分分析法和空间杜宾模型等方法实证检验数字经济对长三角制造业高质量发展的赋能效应及多重路径的综合作用效果。结果表明:长三角地区数字经济不仅能显著赋能本地制造业高质量发展,还对邻近地区制造业高质量发展有显著的促进作用,空间溢出效应占比为79.4%;数字经济赋能制造业高质量发展主要依赖于人力资本和物质资本积累,且人力资本与物质资本呈协同效应,消费能力路径与人力资本、物质资本均呈背离效应。

“双碳”目标下黄河流域绿色技术创新效率评价及影响因素

基于“双碳”目标视角,采用超效率动态网络SBM模型测算黄河流域82市(盟)2011—2021年绿色技术创新的综合效率、科技研发效率及成果转化效率,并利用面板Tobit回归模型检验外部环境因素对三种效率的影响。结果表明:将CO_(2)排放量纳入指标体系后,中下游地区绿色技术创新综合效率得以提升,上游地区效率反而下降;黄河流域绿色技术创新综合效率呈波动上升趋势,科技研发效率起引擎作用;黄河流域绿色技术创新综合效率区域差异明显,成果转化效率差异是综合效率差异的主要来源;经济发展水平、产业结构高级化、人力资本禀赋、对外开放水平、政府支持力度和环境规制强度对三种效率的影响具有区域异质性。建议黄河流域提高绿色技术创新能力,完善创新成果转化平台,推动能源和产业结构升级。

黄河流域生态保护与高质量发展耦合协调性及障碍度研究

为给黄河流域生态保护和高质量发展的政策研究提供参考,以2006—2020年黄河流域九省(区)为研究对象,分别构建生态保护与高质量发展评价指标体系,采用熵值法进行测度,并借助耦合协调模型和障碍度模型,探究生态保护与高质量发展2个系统之间的耦合协调关系及其障碍因子。结果表明:1)黄河流域九省(区)生态保护与高质量发展时序上发展态势良好,但各省(区)异质性明显;2)黄河流域生态保护与高质量发展耦合协调度整体处于上升阶段,但水平仍较低,在时序上经历了濒临失调—勉强协调—基本协调的演变历程,在空间上呈现下游>中游>上游的分布格局;3)黄河流域生态保护与高质量发展耦合协调关系主要受污染治理、生态建设和创新发展三重制约,且各省(区)的主要障碍因子存在差异。