Karst Hydrological Processes and Grey System Model<sup>1</sup>

Hao, Yonghong; Zhao, Jian‐xin; Li, Huamin; Cao, Bibo; Li, Zhongtang; Yeh, Tian Chyi Jim

doi:10.1111/j.1752-1688.2012.00640.x

Cited by 18 publications

(3 citation statements)

References 26 publications

(25 reference statements)

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“…At present, the grey prediction model is being continuously improved. Grey prediction models have been widely used in the integrated circuit industry, environment [26], energy [27], transportation [28], industry [29,30], marine disasters [31], and other fields. Li et al (2019) comprehensively combined the grey theory and models, explained the validity and extensive application of the grey prediction models, and pointed out that the application of the grey model in the marine economy is an inevitable trend [32].…”

Section: Grey Forecasting Modelmentioning

confidence: 99%

Forecasting Guangdong’s Marine Science and Technology, Marine Economy, and Employed Persons by Coastal Regions—Based on Rolling Grey MGM(1,m) Model

Shan

Cao

2022

Water

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The development of marine scientific and technological innovation is an important force for realizing the high-quality development of the marine economy. The purpose of this paper is to predict the development trend of marine science and technology development, marine economy, and employed persons by coastal regions in Guangdong Province, and to give policy suggestions for the future direction of the development of marine technology in Guangdong. Considering the new information priority principle, this paper uses the data from 2011 to 2016 to predict the development trend of marine science and technology, marine economy, and employed persons by coastal regions in Guangdong Province from 2017 to 2022 with the rolling RMGM(1,m) model. It is found that the level of marine science and technology and marine economy in Guangdong maintains stable growth, but marine science and technology capabilities still need to be strengthened. On the one hand, the research reveals the development trend of Guangdong’s marine science and technology innovation and marine economy, and it provides a direction for the high-quality development of Guangdong’s marine economy. On the other hand, the research confirms the validity of the MGM(1,m) model and enriches the research field of grey forecasting models.

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Section: Grey Forecasting Modelmentioning

confidence: 99%

Forecasting Guangdong’s Marine Science and Technology, Marine Economy, and Employed Persons by Coastal Regions—Based on Rolling Grey MGM(1,m) Model

Shan

Cao

2022

Water

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“…Since the infiltration coefficient method used in the study of precipitation infiltration recharge of karst water is relatively simple and infiltrate rates are difficult to measure, this renders recharge estimates difficult to be verified, which would affect the accuracy of natural resource estimates. The methods used in the estimation of the time-lag of precipitation recharge were mainly based on gray theory (Wang 2007;Fan et al 2012;Hao et al 2012;) and statistical regression method (Zang et al 2013), which were used to determine the cross-correlation between precipitation time series and spring flow time series. Of course, the cross-correlation is indeed an effective method to be used to determine the time-lag between the two time series.…”

Section: Infiltration Recharge and Residence Time Estimatesmentioning

confidence: 99%

Review: karst springs in Shanxi, China

Zhang

et al. 2018

Carbonates Evaporites

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China is one of a few countries in the world where karst is intensively developed and karst water is heavily utilized as water supply sources. Shanxi is such a Province with the largest karst distribution in places in Northern China, where 19 large karst springs and their catchments are identified to provide important sources of the water supply and ecosystem functioning in Shanxi. Over the years, many problems associated with utilization of karst springs in Shanxi cropped out, including the decrease in spring flow, decline of groundwater level, groundwater contamination and pollution, etc., which severely restrict the sustainable utilization of karst water resources in Shanxi. Through the retrieval and analysis of some 200 local and international publications, this paper critically reviews the research results of karst springs in the region from the perspective of spring flow trend, precipitation recharge and time-lag, evaluation of karst water resources, water chemistry and environmental isotopes with purposing assession, and further evaluates the integrity of the aquifer system including vulnerability, impacts of coal mining and engineering activities on karst groundwater, delineation of spring catchment sub-systems, protection and management measures. It is concluded that human activities and climate change are the primary and secondary factors negatively affecting karst springs, respectively. The impacts of human activities on karst springs are mainly facilitated by intensive development of karst water, mining drainage, engineering construction and other activities. While karst water in parts of Shanxi spring catchments is polluted to various degrees, hence it is recommended to mainstream the protection of karst spring water in the areas of strategic importance. This paper will contribute towards the establishment of sustainable development and utilization of karst water in Shanxi and even in Northern China.

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“…Hsu and Yeh (2000) developed a new methodology for lossy image compression based on GM. Hao et al (2012) analyzed and predicted hydrological process in Karst River Basin using the grey prediction model and gained the higher precision. Then they studied human activities effect on hydrological process in Karst River Basin using sectioned GM (Hao et al, 2013).…”

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confidence: 99%

New progress of Grey System Theory in the new millennium

Liu

Yang

Xie

et al. 2016

Grey Systems: Theory and Application

175

152

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Purpose – The purpose of this paper is to summarize the progress in grey system research during 2000-2015, so as to present some important new concepts, models, methods and a new framework of grey system theory. Design/methodology/approach – The new thinking, new models and new methods of grey system theory and their applications are presented in this paper. It includes algorithm rules of grey numbers based on the “kernel” and the degree of greyness of grey numbers, the concept of general grey numbers, the synthesis axiom of degree of greyness of grey numbers and their operations; the general form of buffer operators of grey sequence operators; the four basic models of grey model GM(1,1), such as even GM, original difference GM, even difference GM, discrete GM and the suitable sequence type of each basic model, and suitable range of most used grey forecasting models; the similarity degree of grey incidences, the closeness degree of grey incidences and the three-dimensional absolute degree of grey incidence of grey incidence analysis models; the grey cluster model based on center-point and end-point mixed triangular whitenization functions; the multi-attribute intelligent grey target decision model, the two stages decision model with grey synthetic measure of grey decision models; grey game models, grey input-output models of grey combined models; and the problems of robust stability for grey stochastic time-delay systems of neutral type, distributed-delay type and neutral distributed-delay type of grey control, etc. And the new framework of grey system theory is given as well. Findings – The problems which remain for further studying are discussed at the end of each section. The reader could know the general picture of research and developing trend of grey system theory from this paper. Practical implications – A lot of successful practical applications of the new models to solve various problems have been found in many different areas of natural science, social science and engineering, including spaceflight, civil aviation, information, metallurgy, machinery, petroleum, chemical industry, electrical power, electronics, light industries, energy resources, transportation, medicine, health, agriculture, forestry, geography, hydrology, seismology, meteorology, environment protection, architecture, behavioral science, management science, law, education, military science, etc. These practical applications have brought forward definite and noticeable social and economic benefits. It demonstrates a wide range of applicability of grey system theory, especially in the situation where the available information is incomplete and the collected data are inaccurate. Originality/value – The reader is given a general picture of grey systems theory as a new model system and a new framework for studying problems where partial information is known; especially for uncertain systems with few data points and poor information. The problems remaining for further studying are identified at the end of each section.

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Karst Hydrological Processes and Grey System Model¹

Cited by 18 publications

References 26 publications

Forecasting Guangdong’s Marine Science and Technology, Marine Economy, and Employed Persons by Coastal Regions—Based on Rolling Grey MGM(1,m) Model

Forecasting Guangdong’s Marine Science and Technology, Marine Economy, and Employed Persons by Coastal Regions—Based on Rolling Grey MGM(1,m) Model

Review: karst springs in Shanxi, China

New progress of Grey System Theory in the new millennium

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Karst Hydrological Processes and Grey System Model1

Cited by 18 publications

References 26 publications

Forecasting Guangdong’s Marine Science and Technology, Marine Economy, and Employed Persons by Coastal Regions—Based on Rolling Grey MGM(1,m) Model

Forecasting Guangdong’s Marine Science and Technology, Marine Economy, and Employed Persons by Coastal Regions—Based on Rolling Grey MGM(1,m) Model

Review: karst springs in Shanxi, China

New progress of Grey System Theory in the new millennium

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Karst Hydrological Processes and Grey System Model¹