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Kamboj S, Singh N, Arora NK. Spatio-temporal variability of public water supply characteristics and associated health hazards for children and adults in selected locations of Ambala, India. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2024; 96:e10971. [PMID: 38234250 DOI: 10.1002/wer.10971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/07/2023] [Accepted: 12/10/2023] [Indexed: 01/19/2024]
Abstract
The contamination of public water supply and groundwater resources is a major concern in many parts of developing nations. Polluted water poses serious health risks to humans and the environment. This research was conducted to investigate the seasonal variations of the water quality parameters in the public water supply. To assess the supply water quality in different blocks of Ambala District, hydro-chemical analysis was conducted after a series of systematic sampling in various locations. The statistical tools for water quality indexing including water quality indexing (WQI), heavy metal pollution indexing (HMPI), pollution indexing (PI), overall pollution indexing (OPI), metal indexing (MI), and hazard indexing (HI) were used for data as well as the health hazard analysis through water pathway. Overall, 40 water samples were taken from the public water supply systems covering winter and summer seasons, and the levels of pH, total dissolved solids (TDS), EC, F- , Cl- , NO3 - , SO4 2- , HCO3 - , As, B, Cd, Co, Pb, Zn, Cr, Fe, and Mn were investigated. The weight arithmetic index method was used for WQI, and water pollution indices such as HMPI, PI, OPI, and MI were calculated using different models to check the severity of contamination. The mean hazard quotient and hazard index values calculated using the concentration levels of As, B, Cd, Co, Pb, Cr, Fe, Mn, Zn, F- , and NO3 - reveal that supply water may pose a significant health risk to both adults and children that further varies with temporal and spatial changes. During both seasons, a high carcinogenic risk for both adults and children was observed in the studied area because of high levels of As, Pb, Cd, and NO3 - . PRACTITIONER POINTS: The quality of public supply water was assessed at the selected sites of Ambala, India. High levels of NO3 - , As, Cd, and Pb were observed posing a health risk to adults and children via water pathway. 95% of the samples qualified for the excellent water quality category with respect to the levels of F- , Cl- , NO3 - , SO4 2- , HCO3 - , pH, EC, and TDS. Statistical analysis (HMPI, PI, MI, OPI, HI) using different models revealed water contamination with reference to the levels of NO3 - , As, Pb, Cr, Ni, and Cd. Immediate measures are needed to uphold the safety and health of the natives.
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Affiliation(s)
- Saloni Kamboj
- Department of Chemistry, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, India
| | - Nirankar Singh
- Department of Chemistry, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, India
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Shanmugam M, Lim S, Hosan ML, Shrestha S, Babel MS, Virdis SGP. Lapse rate-adjusted bias correction for CMIP6 GCM precipitation data: An application to the Monsoon Asia Region. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 196:49. [PMID: 38108915 DOI: 10.1007/s10661-023-12187-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 11/30/2023] [Indexed: 12/19/2023]
Abstract
Bias correction (BC) of General Circulation Models (GCMs) variables is a common practice when it is being used for climate impact assessment studies at regional scales. The present study proposes a bias correction method (LR-Reg) that first adjusts the original GCM precipitation for local lapse rate corrections and later bias corrects the lapse rate-adjusted GCMs precipitation data with linear regression coefficients. We evaluated LR-Reg BC method in comparison to Linear Scaling (LS) and Quantile Mapping (QMap) BC methods, and NASA's downscaled NEX data for Monsoon Asia region. This study used Coupled Model Intercomparison Project Phase 6 (CMIP6)-based MIROC6 GCM precipitation with historical and projected shared socio-economic pathways (SSP) scenarios (SSP245 and SSP585) datasets. The BC comparison results show that the relative percentage reduction in mean absolute error (MAE) values of LR-Reg over LS-BC was up to 10-30% while this relative reduction in MAE values of LR-Reg was 30-50% over QMap-BC and 75-100% over NASA's NEX-data. The future projected precipitation over Monsoon Asia during dry season shows more decreased precipitation by up to 100% mostly in the south Asia while during wet season shows more increased precipitation by up to 50% mostly in the northeastern China and in the Himalayan belts with respect to the baseline condition (1970-2005). The results on the average precipitation per 0.25 degree increase in latitude analysis shows that the maximums of average monsoon precipitation during baseline period occur at 0 and 25 degree latitudes while the projected monsoon precipitation during both SSP scenarios occurs at 10 and 20 degree latitudes which clearly shows an inward shift in the latitude axis for the projected precipitation in the Monsoon Asia.
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Affiliation(s)
- Mohanasundaram Shanmugam
- Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, 12120, Pathum Thani, Thailand.
| | - Sokneth Lim
- ALLEZ Engineering and Technology Co., Ltd, Veal Sbov, Chbar Ampov, Phnom Penh, Cambodia
| | - Md Latif Hosan
- Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, 12120, Pathum Thani, Thailand
| | - Sangam Shrestha
- Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, 12120, Pathum Thani, Thailand
| | - Mukand Singh Babel
- Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, 12120, Pathum Thani, Thailand
| | - Salvatore Gonario Pasquale Virdis
- Remote Sensing and Geographical Information System, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, 12120, Pathum Thani, Thailand
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Niu X, Lu C, Zhang Y, Zhang Y, Wu C, Saidy E, Liu B, Shu L. Hysteresis response of groundwater depth on the influencing factors using an explainable learning model framework with Shapley values. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166662. [PMID: 37657541 DOI: 10.1016/j.scitotenv.2023.166662] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 08/26/2023] [Accepted: 08/26/2023] [Indexed: 09/03/2023]
Abstract
Machine learning has been widely used for groundwater prediction. However, the hysteresis response of groundwater depth (GD) to input features has not been fully investigated. This study uses an interpretation method to reveal the interplay between climate, human activity, and GD while considering the response of groundwater to multiple factors. Six factors [precipitation (P), wind speed (WS), temperature (T), population (POP), gross domestic product (GDP), and effective irrigated area (EIA)] were selected to analyze the hysteresis response of GD in terms of the lag correlation coefficient and lag time. The correlation between climatic variables and GD was weaker than that of anthropogenic variables. The lag time between variables and different types of GD was less than four months at most sites, except for EIA and WS in deep groundwater. The SVM model achieved satisfactory performance in 89 % of the sites. If there were sharp changes in GD during the testing period or significant variations in its seasonal patterns at different times, the SVM model performed poorly. The model was interpreted using the Shapley additive explanation method. The impact of POP and GDP on deep groundwater in irrigated areas was higher than that of shallow groundwater. In urban areas with intensive human activities, anthropogenic variables were the main factors affecting shallow groundwater while the impact of climate was gradually increasing in the suburbs. The influence of precipitation on shallow groundwater was decreased after water transfer from the South-to-North Water Diversion project. Furthermore, this study proposed a multifactor-driven conceptual model that can provide recommendations for analyzing groundwater dynamics in similar areas.
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Affiliation(s)
- Xinyi Niu
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China
| | - Chengpeng Lu
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, Jiangsu, China.
| | - Ying Zhang
- Hydraulic Engineering Planning Bureau of Jiangsu Province, Nanjing 210029, Jiangsu, China
| | - Yong Zhang
- Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA
| | - Chengcheng Wu
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China
| | - Ebrima Saidy
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China
| | - Bo Liu
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China
| | - Longcang Shu
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, Jiangsu, China
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Chuko FW, Abdissa AG. Impact of land-use dynamics and climate change scenarios on Groundwater recharge in the case of Anger watershed, Ethiopia. Heliyon 2023; 9:e18467. [PMID: 37554792 PMCID: PMC10404673 DOI: 10.1016/j.heliyon.2023.e18467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 07/18/2023] [Accepted: 07/18/2023] [Indexed: 08/10/2023] Open
Abstract
An assessment of land use dynamics and climate variability impacts on hydrological processes is vital and a prerequisite for effective water resources management. This study aimed to quantify the effect of land-use changes and long-term climate variability on the Anger watershed's annual groundwater recharge, which covers a total drainage area of 7717 km2. The WetSpass (Water and Energy Transfer between Soil, Plants, and Atmosphere under quasi-Steady State) model was used to investigate the impact of land cover and climate variability on groundwater. The Mann-Kendall (MK) test was used to analyze the spatial variations and temporal trends of the climate variables in the watershed. Input data for the model, such as land use, hydro-meteorological data, soil texture, topography, and groundwater elevation parameters, were prepared in the form of gridded maps with a 30 m resolution. The model results indicate that land-use change and climate variability considerably impact distributed groundwater recharges. Groundwater recharge decreased with land use in 2000 and 2019, respectively, as compared to baseline land usage (1985). The study also demonstrates how the anticipated future combination of less precipitation and higher temperatures has a detrimental effect on the watershed's annual average groundwater recharge. Future rising temperatures and reduced precipitation are projected to result in an average annual groundwater recharge showing significant decreases in 2050, 2080, and 2110, respectively, according to scenario-based models. The result has provided valuable information on the management and response of groundwater recharge to climate and land-use changes, particularly for the Anger watershed and for the total country as well.
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Affiliation(s)
- Fikadu Warku Chuko
- Department of Earth Sciences, Wollega University, P.O. Box 395, Nekemte, Ethiopia
| | - Abera Gonfa Abdissa
- Department of Earth Sciences, Wollega University, P.O. Box 395, Nekemte, Ethiopia
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Dhaoui O, Agoubi B, Antunes IM, Tlig L, Kharroubi A. Groundwater quality for irrigation in an arid region-application of fuzzy logic techniques. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:29773-29789. [PMID: 36422785 DOI: 10.1007/s11356-022-24334-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 11/16/2022] [Indexed: 06/16/2023]
Abstract
Groundwater is the main source to answer the irrigation supply in several arid and semi-arid areas. In the present work, groundwater quality for irrigation purposes in the arid region of Menzel Habib (Tunisia) for thirty-six groundwater samples is assessed considering the application of different conventional water quality indicators, particularly, electrical conductivity (EC), sodium absorption ratio (SAR), soluble sodium percentage (SSP), magnesium adsorption ratio (MAR), Kelly ratio (KR), and permeability index (PI). The results obtained indicate a variability for EC: 3.06 to 14.98 mS.cm-1; SAR: 4.08 to 19.30; SSP: 35.78 to 71.53%; MAR: 34.19 to 56.01; PI: 38.47 to 72.74; and KR: 0.56 to 2.47. These results suggest that groundwater from Menzel Habib aquifer system is classified between excellent to unsuitable according to the applied water quality indices. Furthermore, the groundwater samples are also plotted in the Richards diagram classification system, based on the relation between SAR and EC, suggesting that almost groundwater samples present a harmful quality. Moreover, fuzzy logic model has been proposed and created to assess groundwater quality for irrigation. The membership functions are constructed for six significant parameters such as EC, SAR, SSP, MAR, KR, and PI and the rules are, then, fired to get a simple Fuzzy Irrigation Water Quality Index (FIWQI). The obtained groundwater quality results suggest that 3% of the samples from Menzel Habib region are considered as "good" for irrigation, 3% are classified as "good to permissible", 33% with a "permissible" quality, 36% "permissible to unsuitable", while 25% of groundwater present an "unsuitable" quality. Thus, the use of fuzzy logic techniques has more reliable and robust results by overcoming the uncertainties in the decision-making attributed to the conventional methods by the creation of new classes (excellent to good, good to permissible, and permissible to unsuitable) in addition to the classes proposed by Richards diagram classification (excellent, good, permissible, and unsuitable) to assess the groundwater quality suitability for irrigation purposes.
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Affiliation(s)
- Oussama Dhaoui
- Higher Institute of Water Sciences and Techniques, Applied-Hydrosciences Laboratory, University of Gabes, University Campus, 6033 Gabes, Gabes, Tunisia.
- Institute of Earth Sciences, Pole of University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
| | - Belgacem Agoubi
- Higher Institute of Water Sciences and Techniques, Applied-Hydrosciences Laboratory, University of Gabes, University Campus, 6033 Gabes, Gabes, Tunisia
| | - Isabel Margarida Antunes
- Institute of Earth Sciences, Pole of University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal
| | - Lotfi Tlig
- Higher Institute of Informatics and Multimedia of Gabes, University Campus, 6033 City El Amel 4, Gabes, Tunisia
| | - Adel Kharroubi
- Higher Institute of Water Sciences and Techniques, Applied-Hydrosciences Laboratory, University of Gabes, University Campus, 6033 Gabes, Gabes, Tunisia
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Cao Y, Zhou Z, Liao Q, Shen S, Wang W, Xiao P, Liao J. Effects of landscape conservation on the ecohydrological and water quality functions and services and their driving factors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 861:160695. [PMID: 36493830 DOI: 10.1016/j.scitotenv.2022.160695] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/09/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Since the implementation of landscape conservation of the green heart area in the Changsha-Zhuzhou-Xiangtan Metropolitan Region, the landscape structure and pattern have changed significantly. The ecosystem service functions in the area have been improved, but the status of ecohydrological and water quality and service functions (EHWQSFs) is still unclear. To clarify the status of EHWQSFs and their driving factors influenced by landscape conservation, this study analysed landscape changes using remote sensing image data from 1998, 2008, and 2018 and the changes and their spatial characteristics using the Soil and Water Assessment Tool (SWAT) and spatial analysis methods. The results showed that the dominant land types in the area were forestland and cropland from 1998 to 2018; the area of forestland and construction land expanded and that of cropland decreased year by year; the annual average surface runoff volume rose, and the annual average actual evapotranspiration and soil water content fell from 1998 to 2008 and rose from 2008 to 2018; and all pollutant indicators decreased significantly after 2008. The areas with higher surface runoff were mainly concentrated in the central and southern regions, those with higher evapotranspiration were in the northwestern and southwestern regions, those with higher soil water content were in the northern region, and those with higher sediment and nitrogen and phosphorus pollutant contents were in the central and southeastern regions. The results showed that land use, land cover and meteorological factors were the most significant drivers on EHWQSFs and illustrated that EHWQSFs in the area decreased after 1998. There was a significant improvement after 2008 and the area currently has a good status. This study not only provides insights into land use, land cover and meteorological factors that have significant impacts on EHWQSFs but also highlights that the landscape conservation of the area can improve ecosystem service functions.
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Affiliation(s)
- Yuchi Cao
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
| | - Zhen Zhou
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
| | - Qiulin Liao
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology.
| | - Shouyun Shen
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology.
| | - Weiwei Wang
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
| | - Peng Xiao
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
| | - Jingpeng Liao
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
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Padiyedath Gopalan S, Champathong A, Sukhapunnaphan T, Nakamura S, Hanasaki N. Potential impact of diversion canals and retention areas as climate change adaptation measures on flood risk reduction: A hydrological modelling case study from the Chao Phraya River Basin, Thailand. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 841:156742. [PMID: 35718185 DOI: 10.1016/j.scitotenv.2022.156742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 06/03/2022] [Accepted: 06/13/2022] [Indexed: 06/15/2023]
Abstract
The countries of Southeast Asia are projected to experience severe flood damage and economic impacts from climate change, compared with the global average. Hence adaptation by incorporating infrastructures is essential, but it has been seldom explicitly included in the simulations projecting climate change impacts on flood risk in these countries. Quantifying the effects of infrastructure is the key to climate change impact and adaptation assessment. Therefore, this study was conducted in the Chao Phraya River Basin (CPRB) in Thailand to examine the adaptation potential of (i) existing structural and non-structural measures that include reservoir and diversion dams, diversion canals, and water retention areas, and (ii) the combined adaptation measures, a combination of alterations made to the existing diversion canals and retention areas, on reducing future floods using the H08 global hydrological model (GHM). The results revealed that the impact of existing measures on the future flood reduction was smaller than the increase caused by warming in the CPRB. Conversely, the combined adaptation measures successfully mitigated the effect of warming by redirecting nearly 50 % of the diverted river flow to the ocean and storing 30 % of the diverted flow in the retention areas. Although a remarkable reduction was noted in the basin-wide flood risk, the effect of adaptation measures greatly varied across the basin. The combined adaptation measures largely reduced the number of flooding days by close to 100 at many of the considered stations within the basin, except for extreme flood events (historical 1-percentile flood events). This further reveals that the feasibility of adaptation measures in alleviating the extreme future floods will be limited in flood-vulnerable basins and thus require area-based prioritization for flood management. The modelling framework implemented in this study can be easily adapted to different GHMs and regions and should be examined for their applicability.
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Affiliation(s)
- Saritha Padiyedath Gopalan
- Centre for Climate Change Adaptation, National Institute for Environmental Studies (NIES), 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.
| | | | | | - Shinichiro Nakamura
- Department of Civil Engineering, Graduate School of Engineering, Nagoya University, Building No. 9, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
| | - Naota Hanasaki
- Centre for Climate Change Adaptation, National Institute for Environmental Studies (NIES), 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
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Sarkar S, Mukherjee A, Senapati B, Duttagupta S. Predicting Potential Climate Change Impacts on Groundwater Nitrate Pollution and Risk in an Intensely Cultivated Area of South Asia. ACS ENVIRONMENTAL AU 2022; 2:556-576. [PMID: 37101727 PMCID: PMC10125289 DOI: 10.1021/acsenvironau.2c00042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/22/2022] [Accepted: 08/22/2022] [Indexed: 11/28/2022]
Abstract
One of the potential impacts of climate change is enhanced groundwater contamination by geogenic and anthropogenic contaminants. Such impacts should be most evident in areas with high land-use change footprint. Here, we provide a novel documentation of the impact on groundwater nitrate (GWNO3 ) pollution with and without climate change in one of the most intensely groundwater-irrigated areas of South Asia (northwest India) as a consequence of changes in land use and agricultural practices at present and predicted future times. We assessed the probabilistic risk of GWNO3 pollution considering climate changes under two representative concentration pathways (RCPs), i.e., RCP 4.5 and 8.5 for 2030 and 2040, using a machine learning (Random Forest) framework. We also evaluated variations in GWNO3 distribution against a no climate change (NCC) scenario considering 2020 status quo climate conditions. The climate change projections showed that the annual temperatures would rise under both RCPs. The precipitation is predicted to rise by 5% under RCP 8.5 by 2040, while it would decline under RCP 4.5. The predicted scenarios indicate that the areas at high risk of GWNO3 pollution will increase to 49 and 50% in 2030 and 66 and 65% in 2040 under RCP 4.5 and 8.5, respectively. These predictions are higher compared to the NCC condition (43% in 2030 and 60% in 2040). However, the areas at high risk can decrease significantly by 2040 with restricted fertilizer usage, especially under the RCP 8.5 scenario. The risk maps identified the central, south, and southeastern parts of the study area to be at persistent high risk of GWNO3 pollution. The outcomes show that the climate factors may impose a significant influence on the GWNO3 pollution, and if fertilizer inputs and land uses are not managed properly, future climate change scenarios can critically impact the groundwater quality in highly agrarian areas.
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Affiliation(s)
- Soumyajit Sarkar
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India
| | - Abhijit Mukherjee
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India
- Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India
| | - Balaji Senapati
- Centre For Oceans, Rivers, Atmosphere and Land Science (CORAL), Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India
| | - Srimanti Duttagupta
- Graduate School of Public Health, San Diego State University, San Diego, California 92182, United States
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Siddik MS, Tulip SS, Rahman A, Islam MN, Haghighi AT, Mustafa SMT. The impact of land use and land cover change on groundwater recharge in northwestern Bangladesh. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 315:115130. [PMID: 35483253 DOI: 10.1016/j.jenvman.2022.115130] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 04/14/2022] [Accepted: 04/19/2022] [Indexed: 06/14/2023]
Abstract
Groundwater recharge is affected by various anthropogenic activities, land use and land cover (LULC) change among these. The long-term temporal and seasonal changes in LULC have a substantial influence on groundwater flow dynamics. Therefore, assessment of the impacts of LULC changes on recharge is necessary for the sustainable management of groundwater resources. The objective of this study is to examine the effects of LULC changes on groundwater recharge in the northwestern part of Bangladesh. Spatially distributed monthly groundwater recharge was simulated using a semi-physically based water balance model. Long-term temporal LULC change analysis was conducted using LULC maps from 2006 to 2016, while wet and dry LULC maps were used to examine seasonal changes. The results show that the impervious built-up area has increased by 80.3%, whereas vegetated land cover has decreased by 16.4% over the study period. As a result, groundwater recharge in 2016 has decreased compared to the level seen in 2006. However, the decrease in recharge due to long-term temporal LULC changes is very small at the basin scale (2.6 mm/year), although the impact on regional level is larger (17.1 mm/year) due to urbanization. Seasonal LULC variations also affect recharge due to the higher potential for dry seasonal LULC compared to the wet seasonal LULC, a substantial difference (20.6 mm/year). The results reveal important information about the groundwater system and its response to land cover changes in northwestern Bangladesh.
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Affiliation(s)
- Md Sifat Siddik
- Department of Irrigation and Water Management, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
| | - Shibli Sadik Tulip
- Department of Irrigation and Water Management, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
| | - Atikur Rahman
- Department of Irrigation and Water Management, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
| | - Md Nazrul Islam
- Department of Irrigation and Water Management, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
| | - Ali Torabi Haghighi
- Water, Energy and Environmental Engineering Research Unit, University of Oulu, P.O. Box 4300, FIN90014, Oulu, Finland
| | - Syed Md Touhidul Mustafa
- Department of Irrigation and Water Management, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh; Water, Energy and Environmental Engineering Research Unit, University of Oulu, P.O. Box 4300, FIN90014, Oulu, Finland; School of Geosciences, University of Aberdeen, Old Aberdeen, AB24 3UF, Scotland, UK.
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Pinsri P, Shrestha S, Kc S, Mohanasundaram S, Virdis SGP, Nguyen TPL, Chaowiwat W. Assessing the future climate change, land use change, and abstraction impacts on groundwater resources in the Tak Special Economic Zone, Thailand. ENVIRONMENTAL RESEARCH 2022; 211:113026. [PMID: 35276195 DOI: 10.1016/j.envres.2022.113026] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 01/28/2022] [Accepted: 02/23/2022] [Indexed: 05/27/2023]
Abstract
Groundwater is an important source of water supply in the Tak Special Economic Zone of Thailand. However, groundwater is under stress from climate change, land use change, and an increase in abstraction, affecting the groundwater level and its sustainability. Therefore, this study analyses the impact of these combined stresses on groundwater resources in the near, mid, and far future. Three Global Climate Models are used to project the future climate under SSP2-4.5 and SSP5-8.5 scenarios. According to the results, both maximum and minimum temperatures are likely to show similar increasing trends for both scenarios, with a rise of approximately 1 (1.5), 2 (3), and 3 (5) °C expected for SSP2-4.5 (SSP5-8.5) in each consecutive period. Annual rainfall is expected to continually increase in the future, with around 1500-1600 mm in rainfall (11ꟷ5.43% higher). Land use change is predicted for two scenarios: business as usual (BU) and rapid urbanisation (RU). The forest area is expected to increase to 30% (35%) coverage in 2090 for BU (RU) while agriculture is likely to reduce to 60% (50%) with the urban area increasing to 2.4% (7%). Water demand is predicted to increase in all future scenarios. The SWAT model is used to project recharge, which is likely to increase by 10-20% over time. The highest increase is predicted in the far future under SSP2 and RU scenarios. MODFLOW was used to project future groundwater resources, but due to the lack of consistent data, the time scale is reduced to yearly simulation. The results reveal that the groundwater level is expected to increase in the central part (urban area) of the study area and decrease along the boundary (agricultural area) of the aquifer. This research can aid policymakers and decision-makers in understanding the impact of multiple stressors and formulating adaptation strategies to manage groundwater resources in special economic zones.
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Affiliation(s)
- Parichat Pinsri
- School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand
| | - Sangam Shrestha
- School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand; Stockholm Environment Institute, Asia Center, Chulalongkorn Soi 64, Phayathai Road, Pathumwan, Bangkok, 1033, Thailand.
| | - Saurav Kc
- School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand
| | - S Mohanasundaram
- School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand
| | - Salvatore G P Virdis
- School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand
| | - Thi Phuoc Lai Nguyen
- School of Environment, Resources and Development Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand
| | - Winai Chaowiwat
- Hydro - Informatics Institute (HII), 901 Ngam Wong Wan Road, Lat Yao, Chatuchak, Bangkok, 10900, Thailand
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Buhay Bucton BG, Shrestha S, Kc S, Mohanasundaram S, Virdis SGP, Chaowiwat W. Impacts of climate and land use change on groundwater recharge under shared socioeconomic pathways: A case of Siem Reap, Cambodia. ENVIRONMENTAL RESEARCH 2022; 211:113070. [PMID: 35288155 DOI: 10.1016/j.envres.2022.113070] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/16/2022] [Accepted: 03/01/2022] [Indexed: 06/14/2023]
Abstract
The rapid pace of urbanization blended with climate change has significantly altered surface and groundwater flows. In the context of tourism-driven economic potential areas, these drivers have greater effects, including threatening groundwater availability. This study assessed the combined impacts of climate and land use changes on the groundwater recharge (GWR) in Siem Reap, Cambodia utilizing Phase Six of the Coupled Model Intercomparison Project (CMIP6) global climate models (GCMs), DynaCLUE land-use model, and Soil Water Assessment Tool (SWAT). Three climate models CanESM5, EC_Earth3, and MIROC6, out of seven, best captured the observed data after performance evaluation through the entropy method, were bias-corrected linearly for two shared socioeconomic pathways (SSPs) - SSP2-4.5 and SSP5-8.5. The results indicate a general increase in precipitation under both SSPs, while the average annual maximum temperature is likely to increase by 0.024 °C/year and 0.049 °C/year under SSP2-4.5 and SSP5-8.5, respectively. A similar trend but relatively higher increase is expected for the minimum temperature. Furthermore, the historical land use change showed the expansion of urban settlement by 373% between 2004 and 2019 at the expense of forest and shrubland. Future land use projections from the DynaCLUE model show that the urban settlements in the study area are likely to expand, from their 2019 condition, by 55% in 2030, 209% in 2060, and 369% in 2090 under SSP2 and at double of these rates under SSP5 scenario. The GWR is expected to rise by 39-53% during the wet season and decrease by 13-29% during the dry season under both scenarios. Meanwhile, under constant land use, the GWR is likely to increase more compared to other scenarios, highlighting the importance of land use planning to policymakers and planners. Additionally, the study shall also be important to practitioners and researchers in understanding, planning, and evaluating the performance of multiple climate models in groundwater assessment.
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Affiliation(s)
- Bredith Grace Buhay Bucton
- Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand
| | - Sangam Shrestha
- Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand; Stockholm Environment Institute, Asia Center, Chulalongkorn Soi 64, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand.
| | - Saurav Kc
- Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand
| | - S Mohanasundaram
- Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand
| | - Salvatore G P Virdis
- Department of Information and Communication Technologies, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani, 12120, Thailand
| | - Winai Chaowiwat
- Hydro-Informatics Institute (HII), 901 Ngam Wong Wan, Lat Yao, Chatuchak, Bangkok, 10900, Thailand
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Evaluating Ecosystem Services and Trade-Offs Based on Land-Use Simulation: A Case Study in the Farming–Pastoral Ecotone of Northern China. LAND 2022. [DOI: 10.3390/land11071115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Evaluating the impacts of land-use change (LUC) on ecosystem services (ESs) is necessary for regional sustainable development, especially for the farming–pastoral ecotone of northern China (FPENC), an ecologically sensitive and fragile region. This study aimed to assess the impacts of LUC on the ESs and provide valuable information for regional planning and management in the FPENC. To accomplish this, we assessed LUC in the FPENC from 2010 to 2020 and simulated land-use patterns in 2030 under three plausible scenarios: the business as usual scenario (BAUS), economic development scenario (EDS), and ecological protection scenario (EPS). Then, we quantified five ESs (including crop production, water yield, soil retention, water purification, and carbon storage) for 2020–2030 and analyzed the trade-offs and synergies among ESs in all scenarios. The results show that FPENC experienced expanding farming land and built-up land throughout 2010–2020. Under the BAUS and EDS from 2000 to 2030, especially EDS, the increase in farming land and built-up land will continue. As a result, crop production and water yield will increase, while soil retention, water purification, and carbon storage will decrease. In contrast, EPS will increase soil retention, water purification, and carbon storage at the cost of a decline in crop production and water yield. These results can provide effective reference information for future regional planning and management in the farming–pastoral ecotone.
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Spatial and Temporal Changes of Ecosystem Service Value in Airport Economic Zones in China. LAND 2021. [DOI: 10.3390/land10101054] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
With the rapid development of the aviation industry, many negative effects on the local environment have been reported. This study examined the land use and land cover (LULC) and ecosystem service value (ESV) of airport economic zones (AEZs) in China and assessed the changes in LULC and ESV. The results indicate that LULC changed significantly from 1990 to 2015, characterized by the increase in construction land (increase rate, 68.53%) and water bodies (increase rate, 2.32%) and the decrease in cropland (decrease rate, 4.28%), forest (decrease rate, 0.73%), grassland (decrease rate, 4.64%) and unused land (decrease rate, 6.36%). The ESV of AEZs in 1990 and 2015 was RMB 3454 and 3483 million, respectively, with an overall ESV change of RMB 29 million. The ESV of AEZs is characterized by high value in the coastal area of China. From 1990 to 2015, AEZs with a high ESV were located in Inner Mongolia, while those with a high decrease in ESV were located in the southeastern coastal area. From 1990 to 2000, the AEZs with a high increase in ESV were located in Inner Mongolia and Qinghai and the AEZs with decreased ESV were mostly located in central and south China. However, from 2000 to 2010, AEZs with high and low increases in ESV were located in central China and the south coastal area of China, respectively. From 2010 to 2015, AEZs with a high decrease in ESV were located in southeast China.
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