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2
1. TOPIC
2. Problem Statement
3. OBJECTIVES
4. METHDOLOGY
5. WORK PLAN
6. REFERENCES
3
Assessment of Mancher Lake Water Quality & change detection through
Physico- chemical & Remote Sensing Based Study.
Engr. Kishan Chand Mukwana Engr.Abdul Nasir Laghari
4
Present work will focus on the environmental
problem at Mancher Lake due to water quality,
depleting natural resources and unplanned changes
of land used
This scientific study will be focusing on the past
and present conditions of natural resource to
extent environmental related objects using
Remote sensing technology
Water Quality has a significant impact on the
anticipation of water transmissible diseases
5
Manchar Lake is the largest
freshwater lake in Pakistan and one of Asia's
largest.
It is located west of the Indus River, in jamshoro
District, Sindh. The area of the lake fluctuates
with the seasons from as little as 350 km² to as
much as 520 km²
The lake collects water from numerous small
streams in the Kirthar Mountains and empties
into the Indus River
Nowadays the environmental change has become
the hot issue throughout the world. Land
degradation, industrialization and urbanization
have been creating man-made disasters such as
water quality and global warming.
6
Remote sensing is a powerful technique for surveying,
mapping and monitoring earth resources
The physico chemicals are the indicator of water quality,
it is necessary to monitor quality with help of analytical
tools
The quality of surface water is largely affected by
anthropogenic inputs such as (municipal and industrial
wastewater discharge).
,
7
The study area of Mancher Lake
Topographic features of the lake
Boundary
North: agriculture land (Dadu)
South: hills, dry land
East: agriculture land Sehwan)
West: hills, dry land
9
1.To analyze Physico-chemical parameters such as
(pH), (COD), (B.O.D.), Hardness,(TDS),and (EC).
2. To asses Physical change in the area; Change detection
of land Use/ Cover such as water body, agriculture and dry
land
3. To asses environmental impact
on Water , human, agriculture and social economic
condition of area
4. To propose restoration plan of the lake.
10
4. The Lake will be divided into two classes main land use/cover, and water body, grass/
barren land
3. Geometrical correct images should be mosaic by image mosaicing method and color
matching scheme will apply on mosaic imagery
2.Geo-referencing correction will be to eliminate geometric distortion using the topographic maps and
field survey Ground control points (GCP) to development geometrical correct images
1. The study areas of Mancher Lake are covered into one satellite images
thematic mapper (TM)
11
Landsat MSS, TM digital data
Ground Control points data using
GPS
Geometrical correction
Image Enhancement /
Mosaiking
Maximum Likelihood scheme ROI
Supervised classifications
Auxiliary data e.g:
•Topographic Map
•Digital photography use map
•GCPs
Figure: 2. Methodology for image classification & Water Quality [7, 8, 9, 10]
Image sub setting
Image Masking
Collection of region of
interests (ROI)
Supervised classified Image
Change detection
Final Results
Chemical analysis
Sampling
pH
COD
BOD
EC
TDS
Hardness
Assessment of Water Quality and Change Detection
12
S NO. Activities Approximately 6 Months plan
1 2 3 4 5 6
1. Literature review Literature
review
2. Survey of Mancher
Lake
Survey of
Mancher
Lake
3. Results &
Comparison
Results,
Comparison,
seminars
4. Thesis write up &
Composition
Thesis write up,
Composition &
Final Seminar
13
[1] S. M. Enterprise Developed Authority, “Profile of District Dadu” Dec- 2002, PP. 24
[2]
H.U. Abbasi., “Impact Assessment on Mancher Lake of Water Scarcity through Remote Sensing and
Geographical Information System Based Study” M.Phil. Thesis, Centre for Environmental Sciences University
of Sindh, Jamshoro, July 2007, PP. 54-56.
[3]
Singh, A., Digital change detection techniques using remotely sensed data. International Journal of Remote
Sensing, Volume 10(6), 1989, PP. 989–1003
[4]
Mc Dermid, G.J. Franklin, S.E., and LeDrew, E.F. Remote sensing for large-area habitat mapping. Progress in
Physical Geography 29 (4), 2005 PP. 449 – 474. 72.
[5]
Richards J.A. and Jia Xiuping. “Remote Sensing Digital Image Analysis” Third edition, Springer Publishing,
1999 PP.189.
[6]
Abbasi, H., Baloch M.A., Memon. A.G., “deforestation analysis of riverine forest of Sindh using remote sensing
techniques” Mehran university research journal of engineering & technology, Mehran university research
journal of engineering & technology, volume 30, no. 3, July, 2011, PP. 477- 482 [ISSN 0254-7821].
14
[7]
Mengxi Xu., “Assessment meth of lake water quality based on Remote sensed image and support vector
machine” Second IEEE Conference on Industrial Electronics and Applications, 2007, PP. 2565-2570. UNESCO- IHE
[8]
Lee, K.S., Joung, M.R, “determination of Land Use Change Categories Using Classification of Multitemporal
Satellite Image Data”, GIS development, poster section 3, PP. 1-2, 1998 Korea,
[9]
Xiwang Zhang, Fen Qin, Jianfeng Liu “Method of monitoring surface water quality based on remote sensing in
Miyun reservoir” IEEE, PP 1-4, Jul 14, 2009
[10]
Arain. M. B, Kazi. T. G, Jamali. M. K, Afridi. H. I, Baig. J. A, Jalbani. N, Shah. A. Q., “Evaluation of Physico-chemical
Parameters of Manchar Lake Water and Their Comparison with Other Global Published Values” Pak. J. Anal.
Environ. Chem. Vol. 9, No. 2 (2008) PP. 101 – 109, [ISSN-1996-918X]
[11]
T. Wang., 2007. Monitoring of water quality for inland waters by remote
sensing data. Xi’an University of Science and Technology.
[12]
S.J. Li., Q. Wu., X.J. Wang., X.Y. Piao., Y.N. Dai., 2002. Correlations
Between Reflectance Spectra and Contents of Chlorophyll-a in Chaohu
Lake. Journal of lake science. 14(3): 228-234.
15
[13]
B. Zhang., B., Zhang., M. Hong., H.T. Duan., K.S. Song., Z.M. Wang.,2007. Advance in remote sensing of lake
water quality. Advances in water science. 18(2),PP301-310.
[14]
Y.P. Wang., Y.S. Min., J.M. Fu., G.Y. Sheng., 2001. Remote sensing Method of Water Pollution and Application on
Water Pollution Monitoring in Guangzhou Section of Pearl River. Journal of remote sensing. 5(6):460-465.
[15]
X.Q. Wang., Q.M. Wang., G.H. Liu., H.G. Li., 2002. Water pollution monitoring using remote sensing. Remote
sensing technology and application. 17(2):74-78.
[16]
S. Tassan., 1993. An improved in-water algorithm for the determination of chlorophyll and suspended sediment
concentration from thematic mapper data in coastal waters. In J Remote Sensing. 14(6):1221-1229.
[17]
C.Q. Chen., P. Shi., 2001. Study on modeling chlorophyll concentration of surface coastal water using TM data.
Remote sensing of environment China. 11(3):168-176.
16

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Assesment_of_Mancher_Lake.ppt

  • 1.
  • 2. 2 1. TOPIC 2. Problem Statement 3. OBJECTIVES 4. METHDOLOGY 5. WORK PLAN 6. REFERENCES
  • 3. 3 Assessment of Mancher Lake Water Quality & change detection through Physico- chemical & Remote Sensing Based Study. Engr. Kishan Chand Mukwana Engr.Abdul Nasir Laghari
  • 4. 4 Present work will focus on the environmental problem at Mancher Lake due to water quality, depleting natural resources and unplanned changes of land used This scientific study will be focusing on the past and present conditions of natural resource to extent environmental related objects using Remote sensing technology Water Quality has a significant impact on the anticipation of water transmissible diseases
  • 5. 5 Manchar Lake is the largest freshwater lake in Pakistan and one of Asia's largest. It is located west of the Indus River, in jamshoro District, Sindh. The area of the lake fluctuates with the seasons from as little as 350 km² to as much as 520 km² The lake collects water from numerous small streams in the Kirthar Mountains and empties into the Indus River Nowadays the environmental change has become the hot issue throughout the world. Land degradation, industrialization and urbanization have been creating man-made disasters such as water quality and global warming.
  • 6. 6 Remote sensing is a powerful technique for surveying, mapping and monitoring earth resources The physico chemicals are the indicator of water quality, it is necessary to monitor quality with help of analytical tools The quality of surface water is largely affected by anthropogenic inputs such as (municipal and industrial wastewater discharge).
  • 7. , 7 The study area of Mancher Lake
  • 8. Topographic features of the lake Boundary North: agriculture land (Dadu) South: hills, dry land East: agriculture land Sehwan) West: hills, dry land
  • 9. 9 1.To analyze Physico-chemical parameters such as (pH), (COD), (B.O.D.), Hardness,(TDS),and (EC). 2. To asses Physical change in the area; Change detection of land Use/ Cover such as water body, agriculture and dry land 3. To asses environmental impact on Water , human, agriculture and social economic condition of area 4. To propose restoration plan of the lake.
  • 10. 10 4. The Lake will be divided into two classes main land use/cover, and water body, grass/ barren land 3. Geometrical correct images should be mosaic by image mosaicing method and color matching scheme will apply on mosaic imagery 2.Geo-referencing correction will be to eliminate geometric distortion using the topographic maps and field survey Ground control points (GCP) to development geometrical correct images 1. The study areas of Mancher Lake are covered into one satellite images thematic mapper (TM)
  • 11. 11 Landsat MSS, TM digital data Ground Control points data using GPS Geometrical correction Image Enhancement / Mosaiking Maximum Likelihood scheme ROI Supervised classifications Auxiliary data e.g: •Topographic Map •Digital photography use map •GCPs Figure: 2. Methodology for image classification & Water Quality [7, 8, 9, 10] Image sub setting Image Masking Collection of region of interests (ROI) Supervised classified Image Change detection Final Results Chemical analysis Sampling pH COD BOD EC TDS Hardness Assessment of Water Quality and Change Detection
  • 12. 12 S NO. Activities Approximately 6 Months plan 1 2 3 4 5 6 1. Literature review Literature review 2. Survey of Mancher Lake Survey of Mancher Lake 3. Results & Comparison Results, Comparison, seminars 4. Thesis write up & Composition Thesis write up, Composition & Final Seminar
  • 13. 13 [1] S. M. Enterprise Developed Authority, “Profile of District Dadu” Dec- 2002, PP. 24 [2] H.U. Abbasi., “Impact Assessment on Mancher Lake of Water Scarcity through Remote Sensing and Geographical Information System Based Study” M.Phil. Thesis, Centre for Environmental Sciences University of Sindh, Jamshoro, July 2007, PP. 54-56. [3] Singh, A., Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, Volume 10(6), 1989, PP. 989–1003 [4] Mc Dermid, G.J. Franklin, S.E., and LeDrew, E.F. Remote sensing for large-area habitat mapping. Progress in Physical Geography 29 (4), 2005 PP. 449 – 474. 72. [5] Richards J.A. and Jia Xiuping. “Remote Sensing Digital Image Analysis” Third edition, Springer Publishing, 1999 PP.189. [6] Abbasi, H., Baloch M.A., Memon. A.G., “deforestation analysis of riverine forest of Sindh using remote sensing techniques” Mehran university research journal of engineering & technology, Mehran university research journal of engineering & technology, volume 30, no. 3, July, 2011, PP. 477- 482 [ISSN 0254-7821].
  • 14. 14 [7] Mengxi Xu., “Assessment meth of lake water quality based on Remote sensed image and support vector machine” Second IEEE Conference on Industrial Electronics and Applications, 2007, PP. 2565-2570. UNESCO- IHE [8] Lee, K.S., Joung, M.R, “determination of Land Use Change Categories Using Classification of Multitemporal Satellite Image Data”, GIS development, poster section 3, PP. 1-2, 1998 Korea, [9] Xiwang Zhang, Fen Qin, Jianfeng Liu “Method of monitoring surface water quality based on remote sensing in Miyun reservoir” IEEE, PP 1-4, Jul 14, 2009 [10] Arain. M. B, Kazi. T. G, Jamali. M. K, Afridi. H. I, Baig. J. A, Jalbani. N, Shah. A. Q., “Evaluation of Physico-chemical Parameters of Manchar Lake Water and Their Comparison with Other Global Published Values” Pak. J. Anal. Environ. Chem. Vol. 9, No. 2 (2008) PP. 101 – 109, [ISSN-1996-918X] [11] T. Wang., 2007. Monitoring of water quality for inland waters by remote sensing data. Xi’an University of Science and Technology. [12] S.J. Li., Q. Wu., X.J. Wang., X.Y. Piao., Y.N. Dai., 2002. Correlations Between Reflectance Spectra and Contents of Chlorophyll-a in Chaohu Lake. Journal of lake science. 14(3): 228-234.
  • 15. 15 [13] B. Zhang., B., Zhang., M. Hong., H.T. Duan., K.S. Song., Z.M. Wang.,2007. Advance in remote sensing of lake water quality. Advances in water science. 18(2),PP301-310. [14] Y.P. Wang., Y.S. Min., J.M. Fu., G.Y. Sheng., 2001. Remote sensing Method of Water Pollution and Application on Water Pollution Monitoring in Guangzhou Section of Pearl River. Journal of remote sensing. 5(6):460-465. [15] X.Q. Wang., Q.M. Wang., G.H. Liu., H.G. Li., 2002. Water pollution monitoring using remote sensing. Remote sensing technology and application. 17(2):74-78. [16] S. Tassan., 1993. An improved in-water algorithm for the determination of chlorophyll and suspended sediment concentration from thematic mapper data in coastal waters. In J Remote Sensing. 14(6):1221-1229. [17] C.Q. Chen., P. Shi., 2001. Study on modeling chlorophyll concentration of surface coastal water using TM data. Remote sensing of environment China. 11(3):168-176.
  • 16. 16

Notes de l'éditeur

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