The Influence of Jidong Iron Ore Exploitation on Regional Groundwater Environment

2014 ◽  
Vol 522-524 ◽  
pp. 916-920
Author(s):  
Xin She Liu ◽  
Li Li Zhang ◽  
Shu Qun She ◽  
Bin Zhao ◽  
Da Jin Liu ◽  
...  

Jidong Iron Ore lies in the Baimiaozi Series of Dantazi Group, Archaeozoic erathem. With a resource of 2,501.16 million tons and an average grade of over 30%, it is an important iron base of China. The mining area is located at the middle-upper part of alluvial-proluvial fan of the Luanhe River. The ore body is covered with Quaternary gravels and pebbles, in which the aquifer has a large water capacity and is rich in water; therefore it is a water ore deposit and there is great difficulty in sewer drainage of the ore deposit. Besides, sewer drainage may damage underground water environment and incur some environmental problems including land subsidence. In this article, based on the analysis of hydrogeologic condition of the mining area, put forward a hydrogeological concept model of the multilayer aquifer system in which the hydraulic affiliation is quite strong, establish a numerical simulation model describing multilayer aquifer system to predict the evolvement of groundwater flow field due to the mining, then evaluate the influence of mining on the regional groundwater environment, and finally, propose some environmental protection measures. All of the above is of great significance in the method of assessing the influence on the groundwater environment, exploitation of the groundwater resources and environmental protection management during the mine exploitation.

Author(s):  
Amirhossein Najafabadipour ◽  
Gholamreza Kamali ◽  
Hossein Nezamabadi-pour

The Forecasting of Groundwater Fluctuations is a useful tool for managing groundwater resources in the mining area. Water resources management requires identifying potential periods for groundwater drainage to prevent groundwater from entering the mine pit and imposing high costs. In this research, Auto-Regressive Integrated Moving Average (ARIMA) and Holt-Winters Exponential Smoothing (HWES) data-driven models were used for short-term modeling of the groundwater fluctuations in a piezometer around the Gohar Zamin Iron Ore Mine. For this purpose, 250 non-seasonal groundwater fluctuations data in the period 22-Nov-2018 to 29-Jul-2019, 200 data for modeling, and 50 data for prediction were used. To take advantage of all the features of the two developed models, the predictions are combined with different methods and specific weights. The results show better accuracy for the ARIMA method between the two short-term forecasts, while the HWES method requires less time for modeling. Also, among all the predictions made, the highest accuracy for the combined least-squares method is for forecasting the groundwater fluctuations in the short-term. All the forecasts show a decrease in the groundwater fluctuations, indicating pumping wells around the Gohar Zamin Iron Ore Mine area.


2012 ◽  
Vol 518-523 ◽  
pp. 164-167
Author(s):  
Bao Yuan Pan ◽  
Guo Ting Yang ◽  
Yun Ma ◽  
Yi Bin Ren

China is a country with a large lakes, with the development of social economy, the water pollution of lakes is more serious, lake’s eutrophication has become the major environmental problems of the China's lakes and reservoirs. This document explains through the investigation and evaluation environment to analyze the current situation and the pollution of Jingbo Lake, and puts forward countermeasures and pollution control environmental protection measures for management of Jingbo Lake, develop and provide technical reference of Jingbo Lake.


Author(s):  
Kui Sun ◽  
Limin Fan ◽  
Yucheng Xia ◽  
Cheng Li ◽  
Jianping Chen ◽  
...  

Abstract Groundwater of Luohe Formation is the main water source for industrial and agricultural and residential use in Binchang mining area, which is one of the key elements to water conservation coal mining. However, few studies are available to document the enrichment characteristics and influence of underground coal mining on groundwater for the Luohe Formation. This study evaluates the changes of groundwater levels and spring flow caused by mining activities to explore the influence mechanism of coal mining on groundwater by comparatively analysing existing mining data and survey data combined with a series of mapping methods. The results show that the aquifer of Luohe Formation are gradually thinning south-eastwards, disappeared at the mining boundary. In the vertical direction, the lithological structure is distinct, due to alternative sedimentation of meandering river facies and braided river facies. According to the yielding property, the aquifer is divided into three sections, namely, strong water-rich section, medium water-rich section, and weak water-rich section, which are located in northwest and central part, southwest, and the rest part of the mining area, respectively. Mining of Tingnan Coal Mine since 2004 has caused a 3.16 to 194.87 meters drop in groundwater level of Luohe Formation. Until 2015, 70.10% of the mining area undergoes a groundwater level drop larger than 10.00 meters. Another influence of underground mining is that the total flow from 34 springs in 8 southern coal mines of the area has decreased by 286.48 L/s with a rate of decrease at 46.95% from 2007 to 2017. The areas that groundwater level falls or spring flow declines are manly located in the mine gob areas. Results also indicate that the ratio of the height of water conducted fracture zone to the mining height in Binchang mining area is between 16.85 and 27.92. This may increase ground water flow in vertical direction, causing a water level in the aquifer system to drop and ultimately decreasing the flow from the springs. The research results will provide data and theoretical support for the protection of groundwater resources and water conservation coal mining of Luohe Formation in Binchang mining area.


Author(s):  
B. Ma ◽  
Y. Chen ◽  
X. Li ◽  
L. Wu

With the development of economy, global demand for steel has accelerated since 2000, and thus mining activities of iron ore have become intensive accordingly. An ultra-low-grade iron has been extracted by open-pit mining and processed massively since 2001 in Kuancheng County, Hebei Province. There are large-scale stopes and tailings ponds in this area. It is important to extract their spatial distribution information for environmental protection and disaster prevention. A remote sensing method of extracting stopes and tailings ponds is studied based on spectral characteristics by use of Landsat 8 OLI imagery and ground spectral data. The overall accuracy of extraction is 95.06 %. In addition, tailings ponds are distinguished from stopes based on thermal characteristics by use of temperature image. The results could provide decision support for environmental protection, disaster prevention, and ecological restoration in the ultra-low-grade iron ore mining area.


2014 ◽  
Vol 1010-1012 ◽  
pp. 645-649
Author(s):  
Ting Yue ◽  
She Rong Hu ◽  
Yu Zhang ◽  
Ming Da Yu ◽  
Xue Qing Zhang ◽  
...  

Oilfield development has brought important energy to people. However, it inevitably produces a variety of pollutants at the same time, which have a great effect on the ecological environment. This article analyzed the pollution sources and the pollutant influence situation on ecological environment (atmospheric environment, water environment, soil environment, natural vegetation and animal, etc.) in every stage of oilfield development, and then put forward the environment prevention and control measures. The author thinks that we should establish comprehensive environmental protection monitoring mechanism, improve environment protection technology and effective protection measures such as environmental protection law and regulation system, and implement clearer production. Furthermore, we must advocate people to protect the ecological environment and reduce environmental pollution.


2019 ◽  
Vol 1 (2) ◽  
pp. 37-41
Author(s):  
Su Kangjie ◽  
Yuan Ya

2019 ◽  
Author(s):  
Bolorchimeg Nanzad ◽  
◽  
Marek Locmelis ◽  
Brandon James Sullivan ◽  
Ryan Mathur

2020 ◽  
Vol 28 (8) ◽  
pp. 2635-2656
Author(s):  
Samson Oiro ◽  
Jean-Christophe Comte ◽  
Chris Soulsby ◽  
Alan MacDonald ◽  
Canute Mwakamba

AbstractThe Nairobi volcano-sedimentary regional aquifer system (NAS) of Kenya hosts >6 M people, including 4.7 M people in the city of Nairobi. This work combines analysis of multi-decadal in-situ water-level data with numerical groundwater modelling to provide an assessment of the past and likely future evolution of Nairobi’s groundwater resources. Since the mid-1970s, groundwater abstraction has increased 10-fold at a rate similar to urban population growth, groundwater levels have declined at a median rate of 6 m/decade underneath Nairobi since 1950, whilst built-up areas have increased by 70% since 2000. Despite the absence of significant trends in climatic data since the 1970s, more recently, drought conditions have resulted in increased applications for borehole licences. Based on a new conceptual understanding of the NAS (including insights from geophysics and stable isotopes), numerical simulations provide further quantitative estimates of the accelerating negative impact of abstraction and capture the historical groundwater levels quite well. Analysis suggests a groundwater-level decline of 4 m on average over the entire aquifer area and up to 46 m below Nairobi, net groundwater storage loss of 1.5 billion m3 and 9% river baseflow reduction since 1950. Given current practices and trajectories, these figures are predicted to increase six-fold by 2120. Modelled future management scenarios suggest that future groundwater abstraction required to meet Nairobi projected water demand is unsustainable and that the regional anthropogenically-driven depletion trend can be partially mitigated through conjunctive water use. The presented approach can inform groundwater assessment for other major African cities undergoing similar rapid groundwater development.


Author(s):  
Soo-Hyoung Lee ◽  
Jae Min Lee ◽  
Sang-Ho Moon ◽  
Kyoochul Ha ◽  
Yongcheol Kim ◽  
...  

AbstractHydrogeological responses to earthquakes such as changes in groundwater level, temperature, and chemistry, have been observed for several decades. This study examines behavior associated with ML 5.8 and ML 5.1 earthquakes that occurred on 12 September 2016 near Gyeongju, a city located on the southeast coast of the Korean peninsula. The ML 5.8 event stands as the largest recorded earthquake in South Korea since the advent of modern recording systems. There was considerable damage associated with the earthquakes and many aftershocks. Records from monitoring wells located about 135 km west of the epicenter displayed various patterns of change in both water level and temperature. There were transient-type, step-like-type (up and down), and persistent-type (rise and fall) changes in water levels. The water temperature changes were of transient, shift-change, and tendency-change types. Transient changes in the groundwater level and temperature were particularly well developed in monitoring wells installed along a major boundary fault that bisected the study area. These changes were interpreted as representing an aquifer system deformed by seismic waves. The various patterns in groundwater level and temperature, therefore, suggested that seismic waves impacted the fractured units through the reactivation of fractures, joints, and microcracks, which resulted from a pulse in fluid pressure. This study points to the value of long-term monitoring efforts, which in this case were able to provide detailed information needed to manage the groundwater resources in areas potentially affected by further earthquakes.


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