Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration
In many areas of the world, particularly in arid and semi-arid regions, groundwater is the primary source of fresh water, and it supplies around one-third of the world's fresh water. Agriculture is the primary economic sector on the coast in the southern district (Nowshera). More food pro...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10818750/ |
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| author | Wu Jiazhe Dai Xinrui Su Yancheng Zheng Xiangtian Bushra Ghaffar Rabiya Nasir Ahsan Jamil Zeeshan Zafar Mohammad Suhail Meer M. Abdullah-Al-Wadud Rahila Naseer Hesham El-Askary |
| author_facet | Wu Jiazhe Dai Xinrui Su Yancheng Zheng Xiangtian Bushra Ghaffar Rabiya Nasir Ahsan Jamil Zeeshan Zafar Mohammad Suhail Meer M. Abdullah-Al-Wadud Rahila Naseer Hesham El-Askary |
| author_sort | Wu Jiazhe |
| collection | DOAJ |
| description | In many areas of the world, particularly in arid and semi-arid regions, groundwater is the primary source of fresh water, and it supplies around one-third of the world's fresh water. Agriculture is the primary economic sector on the coast in the southern district (Nowshera). More food productivity is required due to the expanding population and diminishing agricultural lands, which increases the use of chemical pesticides and fertilizers in farming. The current study was conducted in northwestern parts of Pakistan to evaluate the impacts of the frequent use of pesticides and fertilizers in agricultural fields. Nine hydrogeological parameters were considered, and the GIS-based DRASTIC index was used to generate the final groundwater vulnerability map. The index map (ranging from 220 to 1980) was further classified into five classes based on index vulnerability: very low (220–345), low (346–670), moderate (671–730), high (731–1239), and very high (1240–1980). Nitrate and TDS, the two reliable and recognized scientific water quality measurements, have been used to validate the model. By regulating and controlling anthropogenic and agricultural pollution, the danger of contamination can be decreased. This research will aid in understanding the possible dangers and risks related to the usage of pesticides in agriculture and other industries. Furthermore, it will help identify the specific pesticides causing the contamination, assess the extent and severity of the contamination, and develop strategies to protect public health and the environment. |
| format | Article |
| id | doaj-art-7d2b6b21279c4d7c8871786bc7bebda8 |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-7d2b6b21279c4d7c8871786bc7bebda82025-01-24T00:00:53ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01183556356810.1109/JSTARS.2024.352437610818750Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall ConsiderationWu Jiazhe0Dai Xinrui1Su Yancheng2Zheng Xiangtian3https://orcid.org/0000-0001-5819-1215Bushra Ghaffar4Rabiya Nasir5Ahsan Jamil6https://orcid.org/0000-0001-6855-4147Zeeshan Zafar7Mohammad Suhail Meer8M. Abdullah-Al-Wadud9https://orcid.org/0000-0001-6767-3574Rahila Naseer10Hesham El-Askary11https://orcid.org/0000-0002-9876-3705School of Computer Engineering, Nanjing Institute of Technology, Nanjing, ChinaSchool of Computer Engineering, Nanjing Institute of Technology, Nanjing, ChinaSchool of Computer Engineering, Nanjing Institute of Technology, Nanjing, ChinaSchool of Computer Engineering, Nanjing Institute of Technology, Nanjing, ChinaDepartment of Environmental Science, Faculty of Sciences, International Islamic University, Islamabad, PakistanDepartment of Environmental Science, The University of Lahore, Lahore, PakistanDepartment of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, USAState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, ChinaCenter for Global Health Research, Saveetha Medical College and Hospital, SIMATS, Chennai, Tamil Nadu, IndiaDepartment of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Economics, Applied Statistics and International Business, College of Business, New Mexico State University, Las Cruces, NM, USAEarth Systems Science and Data Solutions Lab, Chapman University, Orange, CA, USAIn many areas of the world, particularly in arid and semi-arid regions, groundwater is the primary source of fresh water, and it supplies around one-third of the world's fresh water. Agriculture is the primary economic sector on the coast in the southern district (Nowshera). More food productivity is required due to the expanding population and diminishing agricultural lands, which increases the use of chemical pesticides and fertilizers in farming. The current study was conducted in northwestern parts of Pakistan to evaluate the impacts of the frequent use of pesticides and fertilizers in agricultural fields. Nine hydrogeological parameters were considered, and the GIS-based DRASTIC index was used to generate the final groundwater vulnerability map. The index map (ranging from 220 to 1980) was further classified into five classes based on index vulnerability: very low (220–345), low (346–670), moderate (671–730), high (731–1239), and very high (1240–1980). Nitrate and TDS, the two reliable and recognized scientific water quality measurements, have been used to validate the model. By regulating and controlling anthropogenic and agricultural pollution, the danger of contamination can be decreased. This research will aid in understanding the possible dangers and risks related to the usage of pesticides in agriculture and other industries. Furthermore, it will help identify the specific pesticides causing the contamination, assess the extent and severity of the contamination, and develop strategies to protect public health and the environment.https://ieeexplore.ieee.org/document/10818750/Agricultural managementgroundwater contaminationmultispectral datarainfallvulnerability |
| spellingShingle | Wu Jiazhe Dai Xinrui Su Yancheng Zheng Xiangtian Bushra Ghaffar Rabiya Nasir Ahsan Jamil Zeeshan Zafar Mohammad Suhail Meer M. Abdullah-Al-Wadud Rahila Naseer Hesham El-Askary Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Agricultural management groundwater contamination multispectral data rainfall vulnerability |
| title | Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration |
| title_full | Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration |
| title_fullStr | Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration |
| title_full_unstemmed | Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration |
| title_short | Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration |
| title_sort | multisensor data fusion and gis drastic integration for groundwater vulnerability assessment with rainfall consideration |
| topic | Agricultural management groundwater contamination multispectral data rainfall vulnerability |
| url | https://ieeexplore.ieee.org/document/10818750/ |
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