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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.1
- 수록면
- 359 - 371 (13page)
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초록· 키워드
오류제보하기
Impacts on groundwater were carried out of an open pit coal mining area located in Phulbari under Dinajpur District in Bangladesh. The exploration of coal following the open pit method will influence the groundwater resources in and around the mine due to pumping of groundwater as well as precipitated water which will be accumulated in the floor of the open pit mine. Groundwater is the main source for agriculture and domestic use of that region. For qualitative analysis four water samples out of eight showed high contamination level (Cd > 3) ranging between 4.613–8.619 (6.6), two samples showed medium contamination level (Cd = 1–3) ranging between 2.171–2.785 and two samples showed the low contamination level (Cd < 1) ranging between 0.506–0.952 value before mining activities. After mining activities the predicted concentration index for groundwater samples will show the very high contamination level (Cd > 3) ranging between 155.868–1627.256. Before mining activities Cd ranged between 0.51–8.62 and HPI ranged between 2.04–4.42, but after mining activities Cd values are expected to be 155.86–1649.7 and HPI ranges between 22.53–204.58. The DRASTIC vulnerability index is computed for evaluation of three conditions (conventional DRASTIC, Modified DRASTICCdHPI for before and after mining activities). For conventional DRASTIC the vulnerability index is found ranging from 81–167 of which 31% area is high vulnerable. Before mining activities the vulnerability index was found ranging from 87–182 of which 30% area was high vulnerable but after mining activities the vulnerability index will be found ranging from 185–375 of which 24% area will be high vulnerable, 35% will be very high vulnerable and 41% will be extreme vulnerable. Selected eight heavy metals were analyzed using AAS. The prediction is done by following the data of Raniganj coal field, Maharashtra coal fired power plant in India and Poltegor coalmine, Poland. Two methods such as contamination index (Cd) and heavy metal pollution index (HPI) were used to evaluate the contamination levels. The software used for this study is Arcview 3.3 for the preparation of location map and DRASTIC vulnerability maps. The groundwater vulnerability assessment was done using DRASTIC model in GIS environment.
목차
등록된 정보가 없습니다.
참고문헌 (35)
참고문헌 신청
Abdullah, T.O. / 2015 / Groundwater vulnerability mapping using lineament density on standard DRASTIC model: Case study in Halabja Saidsadiq Basin, Kurdistan region, Iraq / Engineering 7:644~667
Aller, L. / 1987 / DRASTIC: A standardized system for evaluating groundwater pollution potential using hydrogeological settings :2~87
Al-Rawabdeh, A.M. / 2013 / A GIS-based DRASTIC model for assessing aquifer vulnerability in Amman-Zerqa groundwater Basin, Jordan / Engineering 5:490~504
Al-Zabet, T. / 2002 / Evaluation of aquifer vulnerability to contamination potential using the DRASTIC method / Environmental Geology 43:203~208
Assaf, H. / 2009 / Geostatistical assessment of groundwater nitrate contamination with reflection of DRASTIC vulnerability assessment: The case of the upper Litani Basin, Lebanon / Water Resource Management 23:775~796
Aller, L. / 1987 / DRASTIC: A standardized system for evaluating groundwater pollution potential using hydrogeological settings :2~87
Al-Rawabdeh, A.M. / 2013 / A GIS-based DRASTIC model for assessing aquifer vulnerability in Amman-Zerqa groundwater Basin, Jordan / Engineering 5:490~504
Al-Zabet, T. / 2002 / Evaluation of aquifer vulnerability to contamination potential using the DRASTIC method / Environmental Geology 43:203~208
Assaf, H. / 2009 / Geostatistical assessment of groundwater nitrate contamination with reflection of DRASTIC vulnerability assessment: The case of the upper Litani Basin, Lebanon / Water Resource Management 23:775~796
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