Accounting Method of the Environmental Compensation Value in Mineral Resources Developing

2013 ◽  
Vol 807-809 ◽  
pp. 2421-2426 ◽  
Author(s):  
Ke Qing Li ◽  
Qiang Zhang ◽  
Feng Wu
Keyword(s):  
Mineral Resources ◽  
Noise Pollution ◽  
Natural Landscape ◽  
Mine Environment ◽  
Geological Disasters ◽  
Environment Problem ◽  
Green Gdp ◽  
Value Loss ◽  
Accounting Model ◽  
Resources Exploitation

Aiming at overcoming the disadvantage of ignoring environment resources value loss caused by mineral resources exploitation in traditional GDP accounting, a new accounting method was put forward. Through analyzing the forms of environment damage caused by mineral resources development, the mine environment problem was divided into seven forms: natural landscape damage, vegetation destruction, geological disasters, air pollution, water pollution, solid waste pollution and noise pollution. Based on this classification system and general principle of value estimate for environment resources, the value loss indexes of each form were identified, and the calculation method for every index was put forward. As a result of the research, an accounting model that can be used for green GDP accounting relative to mineral resources exploitation was obtained.

scholarly journals Noise pollution generated by motor vehicles at different times on Avenue Paulista, municipality of São Paulo / SP

2021 ◽  
Vol 9 (71) ◽  
Author(s):  
Antonio Celso de Souza Junior ◽  
João Alexandre Paschoalin Filho
Keyword(s):  
Urban Areas ◽  
Noise Pollution ◽  
Sao Paulo ◽  
Motor Vehicles ◽  
São Paulo ◽  
Technical Standards ◽  
Irreversible Damage ◽  
The Road ◽  
Resources Exploitation

Cities have shown high rates of population growth since the beginning of the twentieth century (at a greater intensity when compared to their development), which puts pressure on the environment intensifying the need of natural resources exploitation, as well as creating infrastructure problems. Among the impacts caused by the high densification of the population, noise pollution caused mainly by motor vehicles can be highlighted. This kind of urban impact, often ignored by the population and government, in addition to reducing people's quality of life and depreciating urban areas, can cause irreversible damage to public health. In this regard, this research brings, through measurements "in loco", the generation of noise by motor vehicles, in one of the main roads of the city of São Paulo. In addition to the data obtained, this research also analyzes them in the light of recommendations for technical standards and resolutions aimed at noise control. Through the analyzes conducted, it was found that the noise due to traffic, which is subject to the population that occupies (permanently or transiently) the surroundings of the road in studies, is above the recommended levels. In addition to momentary discomfort, the noise levels obtained have the potential to cause damage to the health of the population, such as hearing loss, attention deviations and even psychological problems. Therefore, it is hoped that this research will help to foster the debate about the impacts of noise pollution on the urban environment and the need for measures to be taken by municipal managers.

Changes in the Hinterland and Floodplain

2016 ◽  
Author(s):  
Thomas S. Bianchi
Keyword(s):  
Iron Age ◽  
Homo Sapiens ◽  
Mineral Resources ◽  
Large River ◽  
Homo Erectus ◽  
Human Populations ◽  
Strip Mining ◽  
Natural Landscape ◽  
Agricultural Communities ◽  
Geologic Time Scale

As human populations have increased on the planet, so have their effects on the natural landscape. When human-engineered changes in the movement of soils and rocks occur in the vast watersheds of major rivers, they can have dramatic consequences with respect to the amount of sediment needed to “feed” and support large river deltas at the coast. Many of the largest effects of human activity on the surface of the earth have occurred recently—in the past 200 or so years—and they have been so dramatic it has been argued it is time to create a new epoch in the Geologic Time Scale, one called the Anthropocene. That suggestion is being considered seriously. Nevertheless, the first alterations of the landscape began as early as the Paleolithic, approximately 400,000 to 500,000 years ago, when our human-like ancestors Homo erectus are believed to have begun altering the natural landscape with simple dwelling structures. As humans evolved, so did the tools they used, from sticks and animal antlers to wood and iron plows. Although modern humans (Homo sapiens sapiens) had developed in East Africa by about 200,000 years ago, their ability to extensively modify the landscape through agricultural activities did not likely happen for another 120,000 years. Incredibly, there was a rise in agricultural communities about five millennia ago that seems to have occurred simultaneously, yet independently, in six different regions of world (see Chapters 1 and 2 for linkages among human civilizations, deltas, and stabilization of climate in the Holocene). After the invention of the wheel in the middle Holocene, it became much easier to perform earth-moving activities. This was followed by the Iron Age, around 2,500 years ago, during which iron replaced earlier, less efficient copper and bronze tools for moving earth. Amazingly, the first man-made canal, connecting the Mediterranean and Red seas, was constructed before the Iron Age, around 3,600 years ago. Today, humans are the most effective animals on the planet with respect to altering Earth’s surface, and the use of machinery enables earth-moving activities, such as strip- mining, for extraction of valuable mineral resources like copper and silver.

scholarly journals Resource-environment joint forecasting using big data mining and 3D/4D modeling in Luanchuan mining district, China

2021 ◽  
Vol 44 (3) ◽  
pp. 219-242
Author(s):  
Gongwen Wang ◽  
Shouting Zhang ◽  
Changhai Yan ◽  
Zhenshan Pang ◽  
Hongwei Wang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sustainable Development ◽  
Big Data ◽  
Mineral Resources ◽  
Geological Model ◽  
Geological Modeling ◽  
3D Geological Modeling ◽  
Multi Scale ◽  
Mine Environment ◽  
3D Geological Model

The Fourth generation industrial age and 5G + intelligent communication in the "Fourth Paradigm of Science" in the 21st century provide a new opportunity for research on the relationship between mining development and environmental protection. This paper is based on the theory of metallogenic geodynamics background, metallogenic process and quantitative evaluation and chooses the Luanchuan district as a case study, using deep-level artificial intelligence mining and three/four-dimensional (3D/4D) multi-disciplinary, multi-parameter and multi-scale modeling technology platform of geoscience big data (including multi-dimensional and multi-scale geological, geophysical, geochemical, hyperspectral and highresolution remote sensing (multi-temporal) and real-time mining data), carrying out the construction of 3D geological model, metallogenic process model and quantitative exploration model from district to deposit scales and the quantitative prediction and evaluation of the regional Mo polymetallic mineral resources, the aim is to realize the dynamic evaluation of highprecision 3D geological (rock, structure, hydrology, soil, etc.) environment protection and comprehensive development and utilization of mineral resources in digital and wisdom mines, it provides scientific information for the sustainable development of mineral resources and mine environment in the study area. The research results are summarized as follows: (1) The geoscience big data related to mineral resource prediction and evaluation of district include mining data such as 3D geological modeling, geophysics interpretation, geochemistry, and remote sensing modeling, which are combined with GeoCube3.0 software. The optimization of deep targets and comprehensive evaluation of mineral resources in Luanchuan district (500 km2, 2.5 km deep) have been realized, including 6.5 million tons of Mo, 1.5 million tons of W, and 5 million tons of Pb-Zn-Ag. (2) The 3D geological modeling of geology, mineral deposit, and exploration targeting is related to the mine environment. The data of exploration and mining in the pits of Nannihu – Sandaozhuang – Shangfang deposits and the deep channels of Luotuoshan and Xigou deposits show a poor spatial correlation between the NW-trending porphyryskarn deposits and the ore bodies. The NE-trending faults are usually tensional or tensional-torsional structures formed in the post-metallogenic period, which is the migration pathway of hydrothermal fluid of the related Pb-Zn deposit. There is a risk of groundwater pollution in the high-altitude Pb-Zn mining zones, such as the Lengshui and Bailugou deposits controlled by NE-trending faults are developed outside of porphyry-skarn types of Mo (W) deposits in the Luanchuan area. (3) Construction of mineral resources and environmental assessment and decision-making in intelligent digital mines: 3D geological model is established in large mines and associated with ancient mining caves, pit, and deep roadway engineering in the mining areas to realize reasonable orientation and sustainable development of mining industry. The hyperspectral database is used to construct three-dimensional useful and harmful element models to realize the association of exploration, mining, and mineral processing mineralogy for the recovery of harmful elements (As, Sb, Hg, etc.). 0.5 m resolution Worldview2 images are used to identify the distribution of Fe in the wastewater and slag slurry of important tailings reservoirs, so as to protect surface runoff and soil pollution.

Factor Analysis of Mining Waste Land Development Based on ISM

2010 ◽  
Vol 113-116 ◽  
pp. 27-32
Author(s):  
Chao Qiang Zhu ◽  
Lin Xiu Wang
Keyword(s):  
Structural Model ◽  
Land Development ◽  
Mineral Resources ◽  
Environmental Values ◽  
Mining Waste ◽  
Natural Landscape ◽  
The Waste Land ◽  
Waste Land ◽  
The Government

The long-term exploitation of mineral resources, not only destroyed the natural landscape such as topography, but also triggered a series of ecological and social problems. This paper analyzed influencing factors and process of mining waste land development based on Interpretative Structural Modeling (ISM), and found a structural model. The results told that the Government played an important role in mining waste land development. The government promotes the mining waste land development by influencing the environmental, economic and infrastructure, and makes the waste land fully reflects its economic, social and environmental values.

Sign in / Sign up

Export Citation Format

Share Document