Shandong Area Research Articles

Risk aversion, marketing outlets, and biological control practice adoption: insight from pear farmers in China.

Biological control (BC) is an important component of green control techniques, and its adoption in the production of fresh produce holds economic and ecological importance as an alternative to chemical pesticides, yet its current adoption rate is not high. To clarify the issue, this study analyzes the factors that influence growers' adoption of BC practices in China's orchard systems. We focus on how marketing outlets and risk attitudes affect farmers' adoption of BC practices. A field survey of 327 pear growers was conducted in three main pear-producing areas of Hebei, Shandong, and Hubei provinces of China between October and December 2020. Results show that farmers' risk aversion has a significant and negative impact on their adoption of BC practices. The market environment is another dramatic factor affecting farmers' adoption. Both green certification and cooperative marketing have a significant role in promoting farmers' adoption of BC practices. Our findings highlight the importance of risk reduction and market environment to BC adoption. Furthermore, it can provide critical information for policymakers in formulating strategies to promote the application and extension of BC practices among farmers in developing countries, such as China.

Elemental and Sr-Nd-Pb-Hf Isotope Signatures of Early Cretaceous Magmatic Rocks in the Wulian Area, Eastern Shandong: Implications for Crust-Mantle Interaction at the Edge of the Sulu Collisional Orogenic Belt

Abstract We present new whole-rock geochemical, Sr-Nd-Pb isotopic, and zircon U-Pb and Hf isotopic data for Early Cretaceous magmatic rocks (trachy-andesite, pyroxene diorite, diorite porphyrite, and dolerite) in the Wulian area of Shandong, eastern North China. These data are used to constrain the mechanism of crust-mantle interaction at the edge of the Sulu orogenic belt. The belt formed by the collision of the Yangtze Craton (YC) and the North China Craton (NCC) during the Mesozoic. New zircon U-Pb dating indicates that the magmatic rocks were formed during the Early Cretaceous (123-124 Ma). These rocks are characterized by moderate contents of SiO2 (50.0-60.0 wt.%), MgO (3.3-5.6 wt.%), Cr and Ni with low Nb/U ratios (0.8-11.8), and high La/Nb (5.2-24.5) and Ba/La ratios (12.3-38.1). They are enriched in large ion lithophile elements, depleted in high field strength elements, and are characterized by high initial 87Sr/86Sr values (0.7079-0.7088) and low εNdt (-20.6 to -14.6). The samples have relatively low initial 206Pb/204Pb (16.38-17.18), 207Pb/204Pb (15.38-15.48), and 208Pb/204Pb (37.24-37.83) values. The Sr-Nd-Pb-Hf isotopic characteristics of the samples are similar to those of mafic rocks in the Sulu orogenic belt, suggesting that they might have similar sources. It is clear that the magma source of the samples involves both crustal and mantle materials and so we propose a model for crust-mantle interaction at the edge of Sulu orogenic belt. In this model, the Yangtze plate subducted deep below the northwestern NCC during the Triassic and was trapped in the lithospheric mantle. In the early Cretaceous, lithospheric extension in combination with asthenospheric upwelling resulted in partial melting of the overlying lithospheric mantle. The magmatic rocks in the Wulian area were generated by mixing between melts of both the lithospheric mantle of the NCC and the residual lower crust of the YC. This study therefore provides significant information on crust-mantle interaction at a continental subduction zone.

Evidence of improvements in the water quality of coastal areas around China

Coastal areas are huge carbon stores and hotspots for marine carbon fixation. Changes in the water quality of coastal areas are closely linked to their carbon fixation function. In this study, monitoring data were analyzed to identify how the water quality in China's coastal areas changed from 2001 to 2020. The results showed that the water quality in the coastal areas had improved gradually since 2001. The proportion of water quality in Class II and above gradually increased from 41.4% in 2001 to 77.4% in 2020, meanwhile, the proportion of water quality less than Class II, decreased from 58.6% to 22.6%, respectively. Of the four sea areas, the water quality was best in the Yellow Sea, and was poor in the East China Sea. The water quality varied between the different coastal provinces and cities and was good in coastal areas of Hainan, Guangxi, Shandong, and other provinces and cities, but was poor in Shanghai, Zhejiang, and Tianjin. Terrestrial anthropogenic pollutants were the main influence on the water quality in the coastal areas. As a hotspot for fixing blue carbon, the continuous improvement of the water quality of coastal areas laid a foundation for the health of the blue carbon ecosystems.

Acute carbon monoxide poisoning in Shandong, China: an observational study.

Background:Carbon monoxide (CO) poisoning remains a major cause of accidental injuries and multiple studies have indicated that CO is also associated with significantly severe or long-term toxicity to the central nervous system. Given that CO poisoning causes serious morbidity and mortality, a better understanding of epidemiological features and clinical characteristics of acute CO poisoning in China is crucial.Methods:We collected the clinical data of acute CO poisoning in patients between November 2019 and April 2020 across Shandong province, China and analyzed its characteristics focusing on the weekly amount and the severity of the confirmed cases.Results:A total number of 21,088 acute CO poisoning cases were diagnosed. The overall incidence of acute CO poisoning was approximately 0.021%. On severity rankings, 63% of confirmed cases (n = 13,378) were mild, 27% (n = 5635) were moderate, and 10% (n = 2075) were severe. Interestingly, the coastal cities had more confirmed cases than the inland/suburban areas in Shandong. Meanwhile, the number of confirmed cases was negatively correlated with the local mean daily temperature (P = 0.0167).Conclusions:Mild acute CO poisoning cases accounted for the majority of all confirmed cases during the winter of 2019. In Shandong province, which is located in east China, residents of the coastal cities are more susceptible to CO poisoning than residents of inland cities.

Comparison and Analysis of PM2.5 Forecast in Key Areas Based on the Neural Network Model and Numerical Model

The PM2.5 forecast models of 95 cities in Beijing-Tianjin-Hebei and its surrounding cities (BTH); the Fenwei Plain (FWP); the border area of Jiangsu, Anhui, Shandong, and Henan (JASH); and the Yangtze River Delta (YRD) regions were established using BP neural network models, and the forecast was carried out for the next seven days in the autumn and winter in 2020. By comparing the forecast results of the BP neural network models, numerical model, and artificial correction, the PM2.5 forecast effects of the three methods were analyzed and evaluated. The results showed:① The performance of the short-term forecast based on the BP neural network was relatively good but was reduced in the medium and long term and systematically overestimated in four regions. The numerical model effects were lower than those of the BP neural network models. ② The accuracy rates of the PM2.5 forecast concentration by the three methods were generally low in the four regions, with an average of less than 50%, and the accuracy values in order from high to low were the BP neural network models, artificial correction, and the numerical model. The accuracy rates of IAQI levels of PM2.5 were significantly improved by the three methods, and the averages were above 65% in the first four days. The effects of the BP neural network models and artificial correction were similar, which were generally higher than those of the numerical model. ③ The numerical model had good effects in the BTH, JASH, and YRD regions, whereas it was the worst when forecasting moderately and above-polluted days in the FWP region. The BP neural network model had a good performance when forecasting short-term PM2.5 in the BTH, JASH, and FWP regions, whereas it was poor in the YRD region. In general, the performance of artificial correction was relatively good when forecasting moderate-level days and was close to the BP neural network model when forecasting heavily polluted days.

A comprehensive method to increase yield and narrow the yield gap of winter wheat for sustainable intensification.

The agricultural production system is facing increasing demand pressure and environmental pressure. Green and efficient production methods are urgently needed in order to further enhance the yield of winter wheat and reduce the negative impact on the environment. Here, we analyzed the potential yield and yield gap of winter wheat in Shandong Province of China from 1981 to 2009. Meanwhile, we specified the effects of sowing time, irrigation and fertilization scheme, and variety characteristics on winter wheat. In the past 29 years, the yield gap in most areas of Shandong has become smaller, because the actual yield has increased and the potential yield has changed little under the background of climate change. In addition, it is found that delaying sowing date is beneficial to increase yield by helping winter wheat avoid adverse climate conditions. Also, an irrigation amount of 240 mm and nitrogen application amount of 180-210 kg ha-1 are best to maintain high yield, high resource utilization rate and low environmental pollution in this area. These suggested levels are lower than those currently used by many local farmers. Wheat varieties with longer grain-filling period and photoperiod response, higher grain-filling rate and grain weight were more adaptable to climate change. Improving agronomic management measures can significantly increase the yield of winter wheat and narrow the yield gap. This study can provide valuable information for improving the production potential of winter wheat, and for reducing the damage of agricultural activities to the environment. © 2022 Society of Chemical Industry.

Prevalence and characteristics of multidrug-resistant Proteus mirabilis from broiler farms in Shandong Province, China

Animal-derived Proteus mirabilis (P. mirabilis) is an important food-borne zoonotic bacillus and widely exists in the broiler-breeding industry. The present study was designed to explore the P. mirabilis prevalence and antimicrobial resistance characteristics in 6 conventional broiler-fattening farms in Shandong Province, China. The overall isolation rate of P. mirabilis was 7.07% (50/707). Antimicrobial resistance was very common in the P. mirabilis isolated from these farms and varied for different antibacterial drugs, with chloramphenicol, ciprofloxacin, and trimethoprim-sulfamethoxazole having the highest resistance rate (98%) and aztreonam the lowest (0%). Multidrug resistance was as high as 100%. The majority of the MDR isolates were resistant to between 9 and 12 of the antibiotics, with these accounting for 76% (38/50) of multidrug resistant strains. These P. mirabilis isolates carried 24 drug-resistance genes in 6 types, with stcM having the highest rate (96%) and cmlA, blaTEM, and qnrC the lowest (2%). Superdrug resistance gene blaNDM-1 was found in 10% (5/50) of isolates from poultry farms in Shandong. All the P. mirabilis isolates carried at least 6 virulence genes, with 100% detection rates of the ireA and hpmA genes. Our study revealed that the P. mirabilis strains isolated in the Shandong area all showed the MDR phenotype and the poultry-derived carbapenem-resistant MDR P. mirabilis strains may pose a potential risk to humans. Surveillance findings presented herein will be conducive to our understanding of the prevalence and characteristics of carbapenem-resistant P. mirabilis strains in Shandong, China.

Identifying the spatio-temporal variations of Ulva prolifera disasters in all life cycle

Abstract Since 2007, Ulva prolifera disasters have occurred every year in the South Yellow Sea of China, the largest green tide disaster in the world. The inter-annual differences make monitoring and early warning for such disasters difficult. This study used remote sensing data (2015–2019) to determine its spatio-temporal variations in all life cycles. The results showed a lay effect between the NDVI-mean and the coverage area of U. prolifera. The spatio-temporal distribution of U. prolifera showed stages and regional differences. From late April to early May, U. prolifera first emerged near the Subei Shoal. After development in the middle of the Yellow Sea, U. prolifera broke out in the eastern sea area of Shandong and Jiangsu, declined in the Shandong sea area, and disappeared near Qingdao. The cycle lasted for approximately 90 days. The sea surface temperature was the necessary condition for the disaster, and the sea wind field was the main driving force for its horizontal drift. This study overcomes the poor timing and continuity of remote sensing data in the monitoring of U. prolifera. It provides a theoretical reference for forecasting the outbreak period of U. prolifera and can aid policy-makers to avert such disasters in advance.

Analysis of Spatio-Temporal Heterogeneity and Socioeconomic driving Factors of PM2.5 in Beijing–Tianjin–Hebei and Its Surrounding Areas

Due to rapid urbanization and socio-economic development, fine particulate matter (PM2.5) pollution has drawn very wide concern, especially in the Beijing–Tianjin–Hebei region, as well as in its surrounding areas. Different socio-economic developments shape the unique characteristics of each city, which may contribute to the spatial heterogeneity of pollution levels. Based on ground fine particulate matter (PM2.5) monitoring data and socioeconomic panel data from 2015 to 2019, the Beijing–Tianjin–Hebei region, and its surrounding provinces, were selected as a case study area to explore the spatio-temporal heterogeneity of PM2.5 pollution, and the driving effect of socioeconomic factors on local air pollution. The spatio-temporal heterogeneity analysis showed that PM2.5 concentration in the study area expressed a downward trend from 2015 to 2019. Specifically, the concentration in Beijing–Tianjin–Hebei and Henan Province had decreased, but in Shanxi Province and Shandong Province, the concentration showed an inverted U-shaped and U-shaped variation trend, respectively. From the perspective of spatial distribution, PM2.5 concentrations in the study area had an obvious spatial positive correlation, with agglomeration characteristics of “high–high” and “low–low”. The high-value area was mainly distributed in the junction area of Henan, Shandong, and Hebei Provinces, which had been gradually moving to the southwest. The low values were mainly concentrated in the northern parts of Shanxi and Hebei Provinces, and the eastern part of Shandong Province. The results of the spatial lag model showed that Total Population (POP), Proportion of Urban Population (UP), Output of Second Industry (SI), and Roads Density (RD) had positive driving effects on PM2.5 concentration, which were opposite of the Gross Domestic Product (GDP). In addition, the spatial spillover effect of the PM2.5 concentrations in surrounding areas has a positive driving effect on local pollution levels. Although the PM2.5 levels in the study area have been decreasing, air pollution is still a serious problem. In the future, studies on the spatial and temporal heterogeneity of PM2.5 caused by unbalanced social development will help to better understand the interaction between urban development and environmental stress. These findings can contribute to the development of effective policies to mitigate and reduce PM2.5 pollutions from a socio-economic perspective.

The complete mitochondrial genome and phylogenetic analysis of Neorhodomela munita

Neorhodomela munita (Perestenko) Masuda 1982 is distributed in the coastal areas of Shandong and Liaoning in China, and also in Japan. In this study, the complete nucleotide sequence of the circular mitochondrial DNA of the red alga Neorhodomela munita has been determined. The complete mitochondrial DNA sequence of Neorhodomela munita was 25,318 bp in length with an overall GC content of 25.1% and encoded 23 protein-coding genes, two ribosomal RNAs and 24 transfer RNAs. Phylogenetic tree showed that Neorhodomela munita clustered together with Choreocolax polysiphoniae. The phylogenetic analysis may provide a better understanding of the evolution of the Rhodophyta species.

Development of a PCR assay for the effective detection of Enterocytozoon hepatopenaei (EHP) and investigation of EHP prevalence in Shandong Province, China

Enterocytozoon hepatopenaei (EHP), a recently reported pathogen in the penaeid shrimp, is spreading widely and seriously threatening Penaeus (Litopenaeus) vannamei aquaculture. This study aimed to develop a new and more sensitive polymerase chain reaction (PCR) method for the effective detection of EHP. An EHP PCR assay with a pair of primers specifically amplifying a 358 bp EHP DNA fragment was developed, which was demonstrated to be capable of detecting as low as 2 × 101 copies of EHP and is specific for EHP without cross reaction with DNA samples prepared from five common shrimp pathogens, including white spot syndrome virus (WSSV), infectious hypodermal and haematopoietic virus (IHHNV), hepatopancreatic parvovirus (HPV), infectious myonecrosis virus (IMNV), and yellow head virus (YHV). This new assay is more specific and more sensitive than the previously published EHP PCR methods. With the PCR assay developed in this study, we investigated the prevalence of EHP in four areas of Shandong, China by testing a total of 639 shrimp samples collected from Yantai, Binzhou, Dongying, and Weifang. The results showed that the EHP positive rate reached 51.2%, indicating that EHP is prevalent in shrimp culture in China.

Genetic characteristics of hantavirus from rodents in port area of Ningde , Fujian province in the summer of 2020

Objective: To explore the genetic characteristics and evolution of hantavirus carried by rodents in port area of Ningde in Fujian province in the summer of 2020. Methods: Rodents were captured in the port area of Ningde, the RNA was extracted from rodent lung tissues and detected by using specific kit. The positive samples were used for whole-genome sequencing of the virus. Bioinformatics software was used for the analysis on the similarity and genetic variation of the sequences. Results: A total of 112 rodents were captured, including 5 Rattus norvegicus and 2 Rattus flavipectus, the positive rate of hantavirus was 6.25% (7/112). By virus gene sequencing, two hantavirus complete genome sequences were obtained (named as FJ35 and FJ36, GenBank accession numbers: MW449188-MW449193). The genetic analysis results showed that the hantavirus detected in positive samples were SEOV and shared 99% nucleotide similarity with hantavirus strains LZSF21 and JX20140581 isolated from Shandong province. Phylogenetic analysis using the maximum likelihood method showed that the hantavirus detected in positive samples belonged to S3 subtype, sharing the same subtype with hantavirus strains Z37 from Zhejiang province, LZSF21 from Shandong province, and zy27 and Gongzhuling 415 from northeastern China. Compared with FJ372, the amino acid variation of N259S was observed at sites 251-264 of nucleoprotein, which might be related to antigenicity. Another variation of Q81R was observed in glycoprotein compared with SEOV 80-39 segment of coded amino acid of international reference strain, which might also cause the change in antigenicity. Conclusion: The high positive rate of hantavirus in rodents in the port area of Ningde- would increase the risk of natural human infection and epidemic in local area. The hantavirus positive rodents in this focus might be from an endemic area in Shandong. It is necessary to strengthen the imported rodent control in the port area of Ningde. The virus detected in 2 positive samples belonged to SEOV subtype Ⅲ and shared high homologies of nucleotides and amino acid sequences with the hantavirus strains in surrounding area. However, some slight variations occurred in glycoprotein and nucleoprotein amino acid sequences, which might cause changes in its antigeniity.

Deep learning of DEM image texture for landform classification in the Shandong area, China

Deep learning of DEM image texture for landform classification in the Shandong area, China

Anthropogenic emission inventory of multiple air pollutants and their spatiotemporal variations in 2017 for the Shandong Province, China

Shandong is the most populous and highly industrialized province in eastern China, and the resultant poor air quality is a cause for widespread concern. This study combines bottom–up and top–down approaches to develop a high-resolution anthropogenic emission inventory of air pollutants for 2017. The inventory was developed based on updated emission factors and detailed activity data. The emissions of sulfur dioxide (SO2), nitrogen oxides (NOx), particulate matter with aerodynamic diameters smaller than 2.5 and 10 μm (PM2.5 and PM10, respectively), carbon monoxide (CO), volatile organic compounds (VOCs), and ammonia (NH3) were estimated to be 1387.8, 2488.6, 5281.7, 3193.0, 9250.7, 2254.7, and 1210.6 kt, respectively. Power plants were the largest contributors of SO2 and NOx emissions accounting for 43.7% and 41.9% of the total emissions, respectively. CO emissions mainly originated from industrial processes (40.1%), mobile sources (24.8%), and fossil fuel burning (21.2%). The major sources of PM10 and PM2.5 emissions were industrial processes and fugitive dust, contributing 83.0% and 86.9% of their total emissions, respectively. Industrial processes (60.0%) contributed the largest VOC emissions, followed by mobile sources (16.8%) and solvent use (14.5%). Livestock and N-fertilizers were major emitters of NH3, accounting for 69.9% and 21.2% of the total emissions, respectively. Emissions were spatially allocated to grid cells with a resolution of 0.05 ° × 0.05 ° based on spatial surrogates, using Geographic Information System (GIS). Heavy pollutant emissions were mainly concentrated in the central and eastern areas of Shandong, while high NH3–emissions occurred in the western region. Most pollutant emissions from industrial sectors occurred in June and July, while low emissions were recorded between January and February. Range uncertainties in emission inventory were quantified using Monte Carlo simulations. Our inventory provides effective information to understand local pollutant emission characteristics, perform air quality simulations, and formulate pollution control measures.

Completed Suicide With Violent and Non-violent Methods by the Elderly in Rural China: A Psychological Autopsy Study.

Background: Late-life suicide is a severe public health problem in rural China; however, knowledge regarding the specific characteristics and risk factors for completed suicide via violent and non-violent methods among elderly individuals in rural China is limited.Methods: Subjects aged 60 years or older were selected from rural areas in Shandong, Hunan, and Guangxi provinces in China. This study was a 1:1 matched case-control design conducted by using the psychological autopsy method.Results: According to the univariate analyses, the presence of mental disorder, higher degree of depression, loneliness, lack of social support, hopelessness, impulsivity, and increased quantity of life events were associated with suicide in both violent and non-violent methods. For violent suicide, another risk factor was the lack of pesticides at home. For non-violent suicide, other risk factors were not currently married, family suicide history, and alcohol use disorder (P < 0.05). Variables that remained in the logistic regression model were the severity of depressive symptoms for both violent and non-violent suicide. For non-violent suicide, the degree of hopelessness was another independent risk factor. In addition, violent suicides were more likely to lack pesticides at home, choose the spring season and have an increased quantity of life events than those who died by suicide via non-violent methods.Conclusion: The major risk factor for both violent and non-violent suicide was the severity of depressive symptoms. Suicide prevention measures that focus on depression among this vulnerable population are urgently needed. Moreover, the characteristics of suicides via violent methods differed from those via non-violent methods among elderly individuals. Suicide prevention efforts should be tailored to the specific characteristics of the different suicide methods utilized by older adults in rural areas.

An Empirical Case on the Measurement of China’s regional Low-carbon Development Level

The ecological problems brought by the rapid development of the economy and society have threatened humanity’s sustainable development. As the world’s largest carbon emitter, China is still at a critical stage of industrialization, and it is urgent to solve the problem of how to realize the low-carbon circular development of the economy. This paper constructed the evaluation index system of regional low carbon development from the three dimensions of development, low carbon, and ecology. Based on the entropy weight-TOPSIS model, the index was quantitatively analyzed with the data of 30 provinces in China in 2018. According to the measurement results, 30 provinces, were clustered into low-carbon development zones, relatively low-carbon development zones, relatively high-carbon development zones, and high-carbon development zones according to the low-carbon ecological development level. The results show that China’s overall low-carbon economic development level is not high in 2018, with the south being superior to the north, and the eastern coastal areas of Guangdong, Jiangsu, Shandong, and Zhejiang being significantly prime to other regions. Finally, suggestions are given for different types of low-carbon development areas.

Human settlement distribution patterns during the Longshan and Xinzhai-Erlitou periods and their hydrogeomorphic contexts in the Central Plains, China

The Central Plains of China witnessed a crucial cultural transformation towards the end of the Longshan period from a chiefdom-like society to a state-level society that has been speculated to be associated with regionally favorable environmental conditions. However, this speculation has not yet been substantiated. We first compiled the information on human migrations and extreme floods during the late Longshan period and then compared the relationships of human settlements with hydrogeomorphic settings in the Central Plains between the Longshan and Xinzhai-Erlitou periods. Our comparison shows that the course of the Yellow River was relatively stable during the Longshan period in the eastern Central Plains, where abundant highlands might have existed for human dwellings. However, geologically and archaeologically documented extreme floods that occurred at ~ 4000 cal. yr BP changed hydrogeomorphic settings in key locations along the Yellow River. The northern Henan area and the bordering area of Henan, Shandong and Anhui Provinces were subjected to frequent crevasses from flooding of the Yellow River at ~ 4000 cal. yr BP, which might have forced human migrations. Consequently, the northern Henan area and the bordering area of the three provinces lacked human settlements, whereas the western Central Plains contained concentrated human settlements during the Xinzhai-Erlitou period. We propose that the success of the above-mentioned cultural transformation was likely causally associated with hydrogeomorphic setting changes in the lower Yellow River Basin. Specifically, the frequent crevasses from flooding of the Yellow River at ~ 4000 cal. yr BP in the eastern alluvial plain regions made the western hilly and mountainous regions of present-day Henan Province the “refuge” for eastern immigrants during the late Longshan period. After the floods, human reoccupation and subsequent population increase beyond the local optimum carrying capacity within the Luoyang Basin during the Erlitou period might be a key driver of local social complexity.

Urbanization in the eastern seaboard (Haidai) area of northern China: Perspectives from the late Neolithic site of Liangchengzhen

Limited comparative data from different regions has hampered understanding of variation in the development of urbanism during the late Neolithic period of China. This paper evaluates excavation remains from large, Longshan period sites regarded as cities in the Haidai or eastern seaboard area of northern China, highlighting the site of Liangchengzhen (LCZ). We identify differences in construction features, internal settlement organization, and patterns of expansion. At LCZ, moats were especially important for the organization of space. The Liangchengzhen excavations reveal residential patterns not recognized at other Longshan sites, including shared prepared surfaces between structures and construction features likely designed to enhance privacy. We describe the abundant evidence for production of ground stone tools, including assessment of the wide variety of raw materials (local, extra-local, non-local) represented among the lithic production debris and finished tools. We conclude that there was diversification and intensification of lithic production over time. We infer that a large area at Liangchengzhen was devoted to lithic production, with other economic activities focused elsewhere as the settlement expanded in size. Future research should compare the nature of lithic production and consumption at large and small sites on a regional basis to evaluate our hypothesis that incipient market exchange was a factor in the urbanization process in the LCZ area of southeastern Shandong.

Analysis of exploitation control in typical groundwater over-exploited area in North China Plain

ABSTRACT Groundwater is exploited extensively, continuously and in a disorderly way in the North China Plain (NCP), which leads to severe problems of groundwater over-exploitation, making it the largest groundwater funnel zone in the world. Based on a comprehensive treatment of over-exploited groundwater in Shandong province, this paper analyses and forecasts the water demand, supply and savings in over-exploited areas, and puts forward a method to analyse the potential for groundwater exploitation control, which provides technical support for the comprehensive analysis of exploitation control in over-exploited areas. As a result, under a 50% guaranteed rate of water supply, the potential for groundwater exploitation control in Shandong province over-exploited areas in 2020 and 2030 is 408 × 106 and 638 × 106 m3, respectively. This study can serve as a useful reference for the comprehensive management of groundwater over-exploitation in NCP and other over-exploited areas around the world.

Detection method of dissolved oxygen saturation in ecological water in coastal cities

In order to monitor the dissolved oxygen saturation in the ecological water environment of coastal cities in real time, it provides a basis for the control of ecological water pollution in coastal cities. Therefore, the detection method of ecological water pollution saturation in coastal cities is studied. First, the process and principle of dissolved oxygen in the water body are solved, and the equilibrium equation of dissolved oxygen is obtained. The Mutual Information-Particle Swarm Optimization-Radial Basis Function (MI-PSO-RBF) saturation detection method is used to detect the dissolved oxygen saturation in the ecological water of coastal cities. This method preprocesses the sampling data of ecological water in coastal cities, uses mutual information theory and dissolved oxygen balance equation, and detects the saturation of ecological water pollution through particle swarm optimization RBF neural network. Experimental results show that this method can effectively detect the saturation of ecological water pollution in coastal cities. The detection accuracy of dissolved oxygen saturation in a research area in Shandong is as high as 99%, and the detection time is less than 40 ms.