CLIMATE CHANGE AND RIVER INDUS WATER QUANTITY ASSESSMENT USING GIS AND REMOTE SENSING TECHNIQUE.
DOI:
https://doi.org/10.53555/ephijse.v10i1.223Keywords:
Climate change, River Indus, Water quantity monitoring, Remote sensing, Satellite imagery, Geographic Information Systems (GIS), Water management, Chashma and Jinnah barrage MianwaliAbstract
The consumption of water assets is a significant issue that requires being knowledgeable about different areas worldwide,
for example, the Mianwali Region in Pakistan. This paper gives a broad examination of the remote detecting strategies
utilized for checking water amounts, with a particular accentuation on the Mianwali Region as a contextual investigation.
Remote detection gives critical devices to assessing and controlling water assets by offering quick and geologically exact
data on water sums. The goal of this study article is to analyze the usage of remote detecting innovation for observing
water sums, assess the current water conditions in Mianwali Area, and give supportable water the board arrangements.
The review uses a scope of remote detecting information sources, like satellite photography, and utilizes present-day
methods including Geographic Data Frameworks (GIS) and calculations for picture handling to break down worldly
varieties in water volume. The exploration discoveries improve appreciation of water asset elements in the Mianwali
Region and propose significant direction to policymakers, water asset administrators, and scientists in planning effective
techniques for water preservation and the executives
References
. Ashok, A., Rani, H. P., & Jayakumar, K. (2021). Monitoring of dynamic wetland changes using NDVI and NDWIbased Landsat imagery. Remote Sensing Applications: Society and Environment, 23, 100547.
. Bashir, B., Cao, C., Naeem, S., Zamani Joharestani, M., Bo, X., Afzal, H., . . . Mumtaz, F. (2020). Spatio-temporal
vegetation dynamic and persistence under climatic and anthropogenic factors. Remote Sensing, 12(16), 2612.
. Bastawesy, M. E. (2015). Hydrological scenarios of the Renaissance Dam in Ethiopia and its hydro-environmental
impact on the Nile downstream. Journal of Hydrologic Engineering, 20(7), 04014083.
. Carattini, S., Gosnell, G., & Tavoni, A. (2020). How developed countries can learn from developing countries to
tackle climate change. World Development, 127, 104829.12
. Chu, H., Venevsky, S., Wu, C., & Wang, M. (2019). NDVI-based vegetation dynamics and its response to climate
changes at Amur-Heilongjiang River Basin from 1982 to 2015. Science of the Total Environment, 650, 2051-2062.
. Eid, A. N. M., Olatubara, C., Ewemoje, T., El-Hennawy, M. T., & Farouk, H. (2020). Inland wetland time-series
digital change detection based on SAVI and NDWI indices: Wadi El-Rayan lakes, Egypt. Remote Sensing
Applications: Society and Environment, 19, 100347.
. El-Gamily, I., Selim, G., & Hermas, E. (2010). Wireless mobile field-based GIS science and technology for crisis
management process: A case study of a fire event, Cairo, Egypt. The Egyptian Journal of Remote Sensing and Space
Science, 13(1), 21-29.
. Fatima, N., Alamgir, A., Khan, M., & Mehmood, K. (2021). Conceptual Framework for Climate Vulnerability and
Conflicts in the Coastal Districts of Thatta and Sujawal, Sindh, Pakistan. International Journal of Biosciences, 18(4),
-76.
. Gao, B.-C. (1996). NDWI—A normalized difference water index for remote sensing of vegetation liquid water from
space. Remote sensing of environment, 58(3), 257-266.
. Ghazal, L., Kazmi, J., & Zubair, S. (2015). Monitoring and Mapping Spatio-Periodic Dynamics of Vegetation Cover
in Karachi Using Geoinformatics. International Journal of Biology and Biotechnology, 12(4), 621-627.
. Huang, F., & Xu, S. (2016). Spatio-temporal variations of rain-use efficiency in the west of Songliao Plain, China.
Sustainability, 8(4), 308.
. Hurlbert, A. H., & Haskell, J. P. (2003). The effect of energy and seasonality on avian species richness and
community composition. The American Naturalist, 161(1), 83-97.
. Liu, Y., & Lei, H. (2015). Responses of natural vegetation dynamics to climate drivers in China from 1982 to 2011.
Remote Sensing, 7(8), 10243-10268.
. Mahmoudi, P., Shirazi, S. A., Amir Jahanshahi, S. M., Firoozi, F., & Mazhar, N. (2021). DETECTION OF LONGTERM VEGETATION DEGRADATION IN BALUCHISTAN IN SOUTHWEST ASIA USING NDVI PRODUCTS
OF THE MODIS SENSOR OF TERRA SATELLITE. Environmental Engineering & Management Journal (EEMJ),
(2).
. McFeeters, S. K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water
features. International Journal of Remote Sensing, 17(7), 1425-1432.
. Nasir, S. M., & Akbar, G. (2012). Effect of River Indus flow on low riparian ecosystems of Sindh: a review paper.
Rec. Zool. Surv. Pakistan, 21, 86-89.
. Ouma, Y. O., & Tateishi, R. (2006). A water index for rapid mapping of shoreline changes of five East African Rift
Valley lakes: an empirical analysis using Landsat TM and ETM+ data. International Journal of Remote Sensing,
(15), 3153-3181.
. Özelkan, E. (2020). Water body detection analysis using NDWI indices derived from Landsat-8 OLI. Polish Journal
of Environmental Studies, 29(2), 1759-1769.
. Patil, P. P., Jagtap, M. P., Khatri, N., Madan, H., Vadduri, A. A., & Patodia, T. (2024). Exploration and advancement
of NDDI leveraging NDVI and NDWI in Indian semi-arid regions: A remote sensing-based study. Case Studies in
Chemical and Environmental Engineering, 9, 100573.
. Siyal, A., Siyal, A., & Mahar, R. (2017). Spatial and temporal dynamics of Pai forest vegetation in Pakistan assessed
by RS and GIS. Journal of Forestry Research, 28, 593-603.
. Thayer, A. W., Vargas, A., Castellanos, A. A., Lafon, C. W., McCarl, B. A., Roelke, D. L., . . . Lacher, T. E. (2020).
Integrating agriculture and ecosystems to find suitable adaptations to climate change. Climate, 8(1), 10.
. Wu, C., Venevsky, S., Sitch, S., Yang, Y., Wang, M., Wang, L., & Gao, Y. (2017). Present‐day and future contribution
of climate and fires to vegetation composition in the boreal forest of China. Ecosphere, 8(8), e01917.
. Xu, H. (2006). Modification of normalized difference water index (NDWI) to enhance open water features in
remotely sensed imagery. International Journal of Remote Sensing, 27(14), 3025-3033.
. Zheng, Y., Tang, L., & Wang, H. (2021). An improved approach for monitoring urban built-up areas by combining
NPP-VIIRS nighttime light, NDVI, NDWI, and NDBI. Journal of Cleaner Production, 328, 129488.
. Zheng, Y., Zhou, Q., He, Y., Wang, C., Wang, X., & Wang, H. (2021). An optimized approach for extracting urban
land based on log-transformed DMSP-OLS nighttime light, NDVI, and NDWI. Remote Sensing, 13(4), 766.
. Zoran, M. A., Zoran, L. F. V., & Dida, A. I. (2016). Forest vegetation dynamics and its response to climate changes.
Paper presented at the Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII