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Mohammad L, Bandyopadhyay J, Sk R, Mondal I, Nguyen TT, Lama GFC, Anh DT. Estimation of agricultural burned affected area using NDVI and dNBR satellite-based empirical models. J Environ Manage 2023; 343:118226. [PMID: 37245309 DOI: 10.1016/j.jenvman.2023.118226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 04/24/2023] [Accepted: 05/19/2023] [Indexed: 05/30/2023]
Abstract
One of the major crucial issues that need worldwide attention is open stubble burning, which imposes a variety of adverse impacts on nature and human society, destroying the world's biodiversity. Many earth observation satellites render information to monitor and assess agricultural burning activities. In this study, different remotely sensed data (Sentinel-2A, VIIRS) has been employed to estimate the quantitative measurements of agricultural burned areas of the Purba Bardhaman district from October-December 2018. The multi-temporal image differencing techniques and indices (NDVI, NBR, and dNBR) and VIIRS active fires data (VNP14IMGT) have been utilized to spot agricultural burned areas. In the case of the NDVI technique, a prominent area, 184.82 km2 of agricultural burned area (7.85% of the total agriculture), was observed. The highest (23.04 km2) burned area was observed in the Bhatar block, located in the middle part of the district, and the lowest (0.11 km2) burned area was observed in the Purbasthali-II block, which is located in the eastern part of the district. On the other hand, the dNBR technique revealed that the agricultural burned areas enwrap 8.18% of the total agricultural area, which is 192.45 km2. As per the earlier NDVI technique, the highest agricultural burned areas (24.82 km2) were observed in the Bhatar block, and the lowest (0.13 km2) burn area occurred in the Purbashthali-II block. In both cases, it is observed that agricultural residue burning is high in the western part of the Satgachia block and the adjacent areas of the Bhatar block, which is in the middle part of Purba Bardhaman. The agricultural burned area was extracted using different spectral separability analyses, and the performance of dNBR was the most effective in spectral discrimination of burned and unburned surfaces. This study manifested that agricultural residue burning started in the central part of Purba Bardhaman. Later it spread all over the district due to the trend of early harvesting rice crops in this region. The performance of different indices for mapping the burned areas was evaluated and compared, revealing a strong correlation (R2) = 0.98. To estimate the campaign's effectiveness against the dangerous practice and plan the control of the menace, regular monitoring of crop stubble burning using satellite data is required.
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Affiliation(s)
- Lal Mohammad
- Centre for Environmental Studies, Vidyasagar University, West Bengal, India; Department of Remote Sensing & GIS, Vidyasagar University, West Bengal, India
| | - Jatisankar Bandyopadhyay
- Centre for Environmental Studies, Vidyasagar University, West Bengal, India; Department of Remote Sensing & GIS, Vidyasagar University, West Bengal, India
| | - Rubel Sk
- Department of Remote Sensing & GIS, Vidyasagar University, West Bengal, India
| | - Ismail Mondal
- Department of Marine Science, University of Calcutta, Kolkata, 700019, India
| | - Trinh Trong Nguyen
- HUTECH University, 475A, Dien Bien Phu, Ward 25, Binh Thanh District, Ho Chi Minh City, Vietnam.
| | | | - Duong Tran Anh
- Laboratory of Environmental Sciences and Climate Change, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam; Faculty of Environment, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam.
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Pham LH, Tran DD, Le TDH, Dinh QT, Khoi DN, Hue NTT, Au NH, Anh DT, Quan NH. Dynamic multivariate analysis for pollution assessment and river habitat conservation in the Vietnamese La Buong watershed. Environ Monit Assess 2022; 194:774. [PMID: 36255503 DOI: 10.1007/s10661-022-10184-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 02/25/2022] [Indexed: 06/16/2023]
Abstract
Analysis of temporal patterns of high-dimensional time-series water quality data is essential for pollution management worldwide. This study has applied dynamic factor analysis (DFA) and cluster analysis (CA) to analyze time-series water quality data monitored at the five stations installed along the La Buong river in Southern Vietnam. Application of the DFA identified two types of temporal patterns, one of the run-off driven parameters (total suspended solid (TSS), turbidity, and iron) and the other of diffuse source pollution. The association of the variables like BOD5 and COD at most stations to the run-off-driven parameters revealed their sharing of drivers. On the contrary, separating variables like phosphate (PO43) at the three upstream stations from the run-off patterns suggested their local point-source origin. The DFA-derived factors were later used in the time-point CA to explore the seasonality of water quality parameters and their pollution intensities compared to regulatory levels. The result suggested intensification in wet season of Fe, TSS, BOD5, and COD concentrations at most sites, which are unobservable in run-off detached parameters like reactive nitrogen, phosphate (PO43-), and E. coli. These findings generated robust insights to support water quality management for river habitat conservation.
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Affiliation(s)
- Luan Hong Pham
- Center of Water Management and Climate Change, Institute of Environment and Resources, Vietnam National University - Ho Chi Minh City, 01 Marie Curie, Linh Trung ward, Thu Duc district, Ho Chi Minh City, Vietnam
- Vietnam National University, Ho Chi Minh City, Vietnam
| | - Dung Duc Tran
- Center of Water Management and Climate Change, Institute of Environment and Resources, Vietnam National University - Ho Chi Minh City, 01 Marie Curie, Linh Trung ward, Thu Duc district, Ho Chi Minh City, Vietnam.
- Vietnam National University, Ho Chi Minh City, Vietnam.
| | - Trong Dieu Hien Le
- Faculty of Resources and Environment, University of Thu Dau Mot, 06 Tran Van On street, Thu Dau Mot City, Binh Duong, 820000, Vietnam
| | - Quang Toan Dinh
- Department of Science and Technology of Thanh Hoa, Thanh Hoa, Vietnam
| | - Dao Nguyen Khoi
- Faculty of Environment, University of Science, 227 Nguyen Van Cu Str., Dist. 5, Ho Chi Minh City, Vietnam
- Vietnam National University, Ho Chi Minh City, Vietnam
| | - Nguyen Thi Thanh Hue
- Center of Water Management and Climate Change, Institute of Environment and Resources, Vietnam National University - Ho Chi Minh City, 01 Marie Curie, Linh Trung ward, Thu Duc district, Ho Chi Minh City, Vietnam
- Vietnam National University, Ho Chi Minh City, Vietnam
| | - Nguyen Hai Au
- Institute of Environment and Resources, National University of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Duong Tran Anh
- HUTECH University, 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City, Vietnam
| | - Nguyen Hong Quan
- Center of Water Management and Climate Change, Institute of Environment and Resources, Vietnam National University - Ho Chi Minh City, 01 Marie Curie, Linh Trung ward, Thu Duc district, Ho Chi Minh City, Vietnam
- Institute for Circular Economy Development (ICED), Vietnam National University - Ho Chi Minh City, 01 Marie Curie, Linh Trung ward, Thu Duc district, Ho Chi Minh City, Vietnam
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Van HD, Thi XAT, Le Thi VL, Van TT, Pham NT, Phong NT, Gagnon AS, Pham QB, Anh DT. Zoning the suitability of the western Mekong Delta for paddy rice cultivation and aquaculture under current and future environmental conditions. Environ Monit Assess 2022; 194:767. [PMID: 36255502 DOI: 10.1007/s10661-022-10180-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 12/06/2021] [Indexed: 06/16/2023]
Abstract
Ca Mau and Kien Giang, the two provinces of the Mekong Delta bordering the Gulf of Thailand, are facing major environmental challenges affecting the agriculture and aquaculture sectors upon which many livelihoods in this region depend on. This study maps the suitability of these two provinces for paddy rice cultivation and shrimp farming according to soil characteristics and current and future environmental conditions for variables found to significantly influence the yield of those two sectors, i.e., the level of saltwater intrusion, water availability for rainfed agriculture, and the length of the growing period. Future environmental conditions were simulated using the MIKE 11 hydrodynamic model forced by four hydrodynamic scenarios, each one representing different extents of saltwater intrusion during both the dry and rainy seasons, while also considering the availability of water resources for rainfed agriculture. The suitability zoning was performed using a GIS-based analytic hierarchy process (AHP) approach, resulting in the categorisation of the land according to four suitability levels for each sector. The analysis reveals that paddy rice cultivation will become more suitable to Kien Giang province while shrimp farming will be more suitable to Ca Mau province if the simulated future environmental conditions materialise. A suitability analysis is essential for optimal utilisation of the land. The approach presented in this study will inform the regional economic development master plan and provide guidance to other delta regions experiencing severe environmental changes and wishing to consider potential future climatic and sea level changes, and their associated impacts, in their land use planning.
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Affiliation(s)
- Hue Doan Van
- Southern Institute of Water Resources Research, Ho Chi Minh City, Vietnam
| | - Xuan Ai Tien Thi
- Southern Institute of Water Resources Research, Ho Chi Minh City, Vietnam
| | - Van Linh Le Thi
- Southern Institute of Water Resources Research, Ho Chi Minh City, Vietnam
| | - Thanh To Van
- Dau Tieng-Phuoc Hoa Irrigation Exploitation Company, Tay Ninh, Tay Ninh Province, Vietnam
| | - Nhat Truong Pham
- Division of Computational Mechatronics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam
- Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
| | - Nguyen Tan Phong
- College of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia
| | - Alexandre S Gagnon
- School of Biological and Environmental Science, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Quoc Bao Pham
- Faculty of Natural Sciences, Institute of Earth Sciences, University of Silesia in Katowice, Będzińska street 60, 41-200, Sosnowiec, Poland
| | - Duong Tran Anh
- HUTECH University, 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City, Vietnam.
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Nguyen NM, San DC, Nguyen KD, Pham QB, Gagnon AS, Mai ST, Anh DT. Region of freshwater influence (ROFI) and its impact on sediment transport in the lower Mekong Delta coastal zone of Vietnam. Environ Monit Assess 2022; 194:463. [PMID: 35635623 DOI: 10.1007/s10661-022-10113-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 05/15/2022] [Indexed: 06/15/2023]
Abstract
The delta of the Mekong River is one of the largest in the world, with the Mekong River carrying a large amount of sediments in its Region of Freshwater Influence (ROFI). This study investigates the flow structure and movement of both suspended and bedload sediments in the ROFI of the Lower Mekong Delta (LMD) in order to identify areas prone to sediment accretion and erosion. This is accomplished by applying the three-dimensional Coastal and Regional Ocean COmmunity (CROCO) model and then calculating the sediment budget of different stretches of the coastline. The model outputs, depicting areas experiencing sediment accretion and erosion along the coastline of the LMD, are then compared against observations obtained during the period 1990-2015 and demonstrate the ability of the model to identify areas particularly prone to erosion and where preventive actions against coastal erosion should focus.
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Affiliation(s)
- Nguyet-Minh Nguyen
- Southern Institute of Water Resources Research, Ho Chi Minh City, Vietnam
| | - Dinh Cong San
- Southern Institute of Water Resources Research, Ho Chi Minh City, Vietnam
| | - Kim Dan Nguyen
- Laboratory for Hydraulics Saint-Venant, Université Paris-Est, 6 Quai Wattier, 78400, Chatou, France
| | - Quoc Bao Pham
- Faculty of Natural Sciences, Institute of Earth Sciences, University of Silesia in Katowice, Będzińska street 60, 41-200, Sosnowiec, Poland
| | - Alexandre S Gagnon
- School of Biological and Environmental Science, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Son T Mai
- School of Electronics, Electrical Engineering and Computer Science, Queens University, Belfast, UK
| | - Duong Tran Anh
- HUTECH University, 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City, Vietnam.
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Umar M, Khan SN, Arshad A, Aslam RA, Khan HMS, Rashid H, Pham QB, Nasir A, Noor R, Khedher KM, Anh DT. A modified approach to quantify aquifer vulnerability to pollution towards sustainable groundwater management in Irrigated Indus Basin. Environ Sci Pollut Res Int 2022; 29:27257-27278. [PMID: 34978039 DOI: 10.1007/s11356-021-17882-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 11/27/2021] [Indexed: 06/14/2023]
Abstract
The quality of groundwater in the study watershed has worsened because of industrial effluents and residential wastes from the urbanized cities; therefore, there is an important need to explore the aquifer vulnerability to pollution for sustainable groundwater management in the Irrigated Indus Basin (IIB). This study proposed a novel methodology to quantify groundwater vulnerability using two fully independent methodologies: the first by reintroducing an improved recharge factor (R) map and the second by incorporating three different weight and rating schemes into a traditional DRASTIC framework to improve the performance of the DRASTIC approach. In the current study, we composed a recharge map from Soil and Water Assessment Tool (SWAT) output (namely SWAT recharge map) with a drainage density map to retrieve an improved composite recharge map (SWAT-CRM). SWAT-CRM along with other thematic layers was combined using weightage overlay analysis to prepare the maps of groundwater vulnerability index (VI). The weight scale (w) and rating scale (r) were assigned based on a survey of available literature, and we then amended them using the analytical hierarchy process (AHP) and a probability frequency ratio (PFR) technique. Results depicted that the region under high groundwater vulnerability was found to be 5-22% using traditional recharge maps, while those are 9-23% using improved SWAT-CRM. The area under the curve (AUC) revealed that groundwater vulnerability zones predicted with SWAT-CRM outperformed the DRASTIC model applied with the traditional recharge map. Groundwater electrical conductivity (EC) was>2500 mS/cm in the high groundwater vulnerability zones, while it was <1000 mS/cm in the low groundwater vulnerability zones. The outcomes of this study can be used to improve the sustainability of the groundwater resources in IIB through proper land-use management practices.
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Affiliation(s)
- Muhammad Umar
- Department of Structures and Environmental Engineering, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan
| | - Shahbaz Nasir Khan
- Department of Structures and Environmental Engineering, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan.
| | - Arfan Arshad
- Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK, 74078, USA
- Department of Irrigation and Drainage, Faculty of Agricultural Engineering and Technology, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan
| | - Rana Ammar Aslam
- Department of Structures and Environmental Engineering, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan
| | - Hafiz Muhammad Safdar Khan
- Department of Structures and Environmental Engineering, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan
| | - Haroon Rashid
- Department of Structures and Environmental Engineering, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan
| | - Quoc Bao Pham
- Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Vietnam
| | - Abdul Nasir
- Department of Structures and Environmental Engineering, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan
| | - Rabeea Noor
- Department of Agricultural Engineering, Bahauddin Zakariya University, Multan, 34200, Pakistan
| | - Khaled Mohamed Khedher
- Department of Civil Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
- Department of Civil Engineering, High Institute of Technological Studies, Mrezgua University Campus, 8000, Nabeul, Tunisia
| | - Duong Tran Anh
- HUTECH University, 475A, Dien Bien Phu, Ward 25, Binh Thanh District, Ho Chi Minh City, Vietnam.
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Alkindi KM, Mukherjee K, Pandey M, Arora A, Janizadeh S, Pham QB, Anh DT, Ahmadi K. Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches. Environ Sci Pollut Res Int 2022; 29:20421-20436. [PMID: 34735705 DOI: 10.1007/s11356-021-17224-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 10/21/2021] [Indexed: 06/13/2023]
Abstract
Nitrate is a major pollutant in groundwater whose main source is municipal wastewater and agricultural activities. In the present study, Bayesian approaches such as Bayesian generalized linear model (BGLM), Bayesian regularized neural network (BRNN), Bayesian additive regression tree (BART), and Bayesian ridge regression (BRR) were used to model groundwater nitrate contamination in a semiarid region Marvdasht watershed, Fars province, Iran. Eleven groundwater (GW) nitrate conditioning factors have been taken as input parameters for predictive modeling. The results showed that the Bayesian models used in this study were all competent to model groundwater nitrate and the BART model with R2 = 0.83 was more efficient than the other models. The result of variable importance showed that potassium (K) has the highest importance in the models followed by rainfall, altitude, groundwater depth, and distance from the residential area. The results of the study can support the decision-making process to control and reduce the sources of nitrate pollution.
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Affiliation(s)
- Khalifa M Alkindi
- UNESCO Chair on Aflaj Studies, Archaeohydrology, University of Nizwa, Nizwa, Oman
| | - Kaustuv Mukherjee
- Department of Geography, Chandidas Mahavidyalaya, Birbhum, WB, 731215, India
| | - Manish Pandey
- University Center for Research & Development (UCRD), Chandigarh University, Mohali, 140413, Punjab, India
- Department of Civil Engineering, University Institute of Engineering, Chandigarh University, Mohali, 140413, Punjab, India
| | - Aman Arora
- Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 10025, Delhi, India
| | - Saeid Janizadeh
- Department of Watershed Management Engineering and Sciences, Faculty in Natural Resources and Marine Science, Tarbiat Modares University, 14115-111, Tehran, Iran
| | - Quoc Bao Pham
- Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Vietnam
| | - Duong Tran Anh
- Ho Chi Minh City University of Technology (HUTECH) 475A, Dien Bien Phu, Ward 25, Binh Thanh District, Ho Chi Minh City, Vietnam.
| | - Kourosh Ahmadi
- Department of Forestry, Faculty in Natural Resources and Marine Science, Tarbiat Modares University, 14115-111, Tehran, Iran
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Singh VK, Kumar D, Singh SK, Pham QB, Linh NTT, Mohammed S, Anh DT. Development of fuzzy analytic hierarchy process based water quality model of Upper Ganga river basin, India. J Environ Manage 2021; 284:111985. [PMID: 33581496 DOI: 10.1016/j.jenvman.2021.111985] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 11/11/2020] [Accepted: 01/09/2021] [Indexed: 06/12/2023]
Abstract
The ecological sustainability of rivers is in question due to severe pollution and lack of stringent regulations. Long term (1990-2016) water quality data of five stations namely Haridwar, Bareilly, Kanpur, Prayagraj and Varanasi of Upper Ganga river, India was considered for analysis using fuzzy analytical process (FAHP) based water quality index (WQI) to assess surface water quality. The value of water physical, biological and chemical parameters of temporal resolution (monthly, seasonal and yearly) indicate that value of electrical conductivity (EC), total dissolved solids (TDS), biological oxygen demand (BOD), chemical oxygen demand (COD), total alkalinity (Mg CaCO3), total hardness (Mg CaCO3), calcium (Ca), magnesium (Mg), sodium (Na), chlorine (Cl) and bicarbonate (HCO3) were observed very high compared to recommended value of Bureau of Indian Standards (BIS) and World Health Organization (WHO) at Kanpur, Prayagraj and Varanasi stations. However, low value of parameters is observed at Haridwar and Bareilly stations. Also, the high deviation was observed in water quality parameters during 1990-2010 whereas the deviation of parameters is decreased in 2011-2016. It is observed from the piper diagram that magnesium and bicarbonate at Haridwar, sodium, potassium and bicarbonate in Bareilly, Kanpur, Prayagraj and Varanasi stations are dominant during monthly and seasonal periods. The fuzzy based WQI value indicate that water quality is excellent to poor at Haridwar, while poor to unsuitable in Bareilly, Kanpur, Prayagraj and Varanasi during monthly and seasonal periods. The water quality ranges from poor to unsuitable during the 1990-2010 period and good to very poor during the 2011-2016 period at Bareilly, Kanpur, Prayagraj and Varanasi stations. Whereas very good to good during 1990-2010 and excellent to good during 2011-2016 at Haridwar. It was also determined that water quality parameters (Ca, Na+K, SO4, Hardness, Cl and Mg) and WQI values were increased with length of the stream. It indicates that drain discharge, urban growth, urban functions, ecological footprints and crop area increment were key sources of pollution.
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Affiliation(s)
- Vijay Kumar Singh
- Faculty of Agriculture Science and Technology, Mahatma Gandhi Kashi Vidhyapith, Varanasi, India
| | - Devendra Kumar
- Department of Soil and Water Conservation Engineering, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, 263145, India
| | - Sudhir Kumar Singh
- K. Banerjee Centre of Atmospheric and Ocean Studies, University of Allahabad, Prayagraj, 211002, India
| | - Quoc Bao Pham
- Environmental Quality, Atmospheric Science and Climate Change Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam; Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
| | - Nguyen Thi Thuy Linh
- Institute of Research and Development, Duy Tan University, Danang 550000, Vietnam; Faculty of Environmental and Chemical Engineering, Duy Tan University, Danang 550000, Vietnam.
| | - Safwan Mohammed
- Institution of Land Utilization, Technology and Regional Planning, University of Debrecen, Debrecen, 4032, Hungary
| | - Duong Tran Anh
- Ho Chi Minh City University of Technology (HUTECH) 475A, Dien Bien Phu, Ward 25, Binh Thanh District, Ho Chi Minh City, Vietnam
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Ali SA, Parvin F, Al-Ansari N, Pham QB, Ahmad A, Raj MS, Anh DT, Ba LH, Thai VN. Sanitary landfill site selection by integrating AHP and FTOPSIS with GIS: a case study of Memari Municipality, India. Environ Sci Pollut Res Int 2021; 28:7528-7550. [PMID: 33034852 DOI: 10.1007/s11356-020-11004-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 09/25/2020] [Indexed: 06/11/2023]
Abstract
Sanitary landfill is still considered as one of the most significant and least expensive methods of waste disposal. It is essential to consider environmental impacts while selecting a suitable landfill site. Thus, the site selection for sanitary landfill is a complex and time-consuming task needing an assessment of multiple criteria. In the present study, a decision support system (DSS) was prepared for selecting a landfill site in a growing urban region. This study involved two steps of analysis. The first step of analysis involved the application of spatial data to prepare the thematic maps and derive their weight. The second step employed a fuzzy multicriteria decision-making (FMCDM) technique for prioritizing the identified landfill sites. Thus, initially, the analytic hierarchy process (AHP) was used for weighting the selected criteria, while the fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) was applied for addressing the uncertainty associated with decision-making and prioritizing the most suitable site. A case study was conducted in the city of Memari Municipality. The main goal of this study was the initial evaluation and acquisition of landfill candidate sites by utilizing GIS and the following decision criteria: (1) environmental criteria consisting of surface water, groundwater, land elevation, land use land cover, distance from urban residence and buildup, and distance from sensitive places; and (2) socioeconomic criteria including distance from the road, population density, and land value. For preparing the final suitability map, the integration of GIS layers and AHP was used. On output, 7 suitable landfill sites were identified which were further ranked using FTOPSIS based on expert's views. Finally, candidate site-7 and site-2 were selected as the most suitable for proposing new landfill sites in Memari Municipality. The results from this study showed that the integration of GIS with the MCDM technique can be highly applied for site suitability. The present study will be helpful to local planners and municipal authorities for proposing a planning protocol and suitable sites for sanitary landfill in the near future.
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Affiliation(s)
- Sk Ajim Ali
- Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, U. P., India
| | - Farhana Parvin
- Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, U. P., India
| | - Nadhir Al-Ansari
- Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187, Luleå, Sweden
| | - Quoc Bao Pham
- Institute of Research and Development, Duy Tan University, Danang, 550000, Vietnam.
- Faculty of Environmental and Chemical Engineering, Duy Tan University, Danang, 550000, Vietnam.
| | - Ateeque Ahmad
- Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, U. P., India
| | - Meena Sansar Raj
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands
- Department of Geoinformatics-Z_GIS, University of Salzburg, 5020, Salzburg, Austria
| | - Duong Tran Anh
- Sustainable Management of Natural Resources and Environment Research Group, Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
| | - Le Huy Ba
- Ho Chi Minh City University of Food Industry (HUFI), 140 Le Trong Tan Street, Tay Thanh Ward, Tan Phu District, Ho Chi Minh City, Vietnam
| | - Van Nam Thai
- Ho Chi Minh City University of Technology (HUTECH), 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City, Vietnam
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Pham QB, Mohammadpour R, Linh NTT, Mohajane M, Pourjasem A, Sammen SS, Anh DT, Nam VT. Application of soft computing to predict water quality in wetland. Environ Sci Pollut Res Int 2021; 28:185-200. [PMID: 32808123 DOI: 10.1007/s11356-020-10344-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 07/31/2020] [Indexed: 06/11/2023]
Abstract
Prediction of water quality is a critical issue because of its significant impact on human and ecosystem health. This research aims to predict water quality index (WQI) for the free surface wetland using three soft computing techniques namely, adaptive neuro-fuzzy system (ANFIS), artificial neural networks (ANNs), and group method of data handling (GMDH). Seventeen wetland points for a period of 14 months were considered for monitoring water quality parameters including conductivity, suspended solid (SS), biochemical oxygen demand (BOD), ammoniacal nitrogen (AN), chemical oxygen demand (COD), dissolved oxygen (DO), temperature, pH, phosphate nitrite, and nitrate. The sensitivity analysis performed by ANFIS indicates that the significant parameters to predict WQI are pH, COD, AN, and SS. The results indicated that ANFIS with Nash-Sutcliffe Efficiency (NSE = 0.9634) and mean absolute error (MAE = 0.0219) has better performance to predict the WQI comparing with ANNs (NSE = 0.9617 and MAE = 0.0222) and GMDH (NSE = 0.9594 and MAE = 0.0245) models. However, ANNs provided a comparable prediction and the GMDH can be considered as a technique with an acceptable prediction for practical purposes. The findings of this study could be used as an effective reference for policy makers in the field of water resource management. Decreasing variables, reduction of running time, and high speed of these approaches are the most important reasons to employ them in any aquatic environment worldwide.
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Affiliation(s)
- Quoc Bao Pham
- Environmental Quality, Atmospheric Science and Climate Change Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam
- Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
| | - Reza Mohammadpour
- Department of Civil Engineering, Islamic Azad University, Estahban Branch, Estahban, Fars, Iran
| | - Nguyen Thi Thuy Linh
- Institute of Research and Development, Duy Tan University, Danang, 550000, Vietnam.
- Faculty of Environmental and Chemical Engineering, Duy Tan University, Danang, 550000, Vietnam.
| | - Meriame Mohajane
- Soil and Environment Microbiology Team, Department of Biology, Faculty of Sciences, Moulay Ismail University, Meknes, Morocco
- Water Sciences and Environment Engineering Team, Department of Geology, Faculty of Sciences, Moulay Ismail University, Meknes, Morocco
| | - Ameneh Pourjasem
- Department of Civil Engineering, Islamic Azad University, Estahban Branch, Estahban, Fars, Iran
| | - Saad Sh Sammen
- Department of Civil Engineering, College of Engineering, Diyala University, Diyala Governorate, Iraq
| | - Duong Tran Anh
- Department of International Cooperation and Research, Van Lang University (VLU), Ho Chi Minh City, Vietnam
| | - Van Thai Nam
- Ho Chi Minh City University of Technology (HUTECH), 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City, Vietnam
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