Combined impacts of future land-use and climate stressors on water resources and quality in groundwater and surface waterbodies of the upper Thames river basin, UK

Hutchins, Mike; Abesser, Corinna; Prudhomme, Christel; Elliott, J. Alex; Bloomfield, John P.; Mansour, Majdi; Hitt, Olivia

doi:10.1016/j.scitotenv.2018.03.052

Cited by 67 publications

(41 citation statements)

References 38 publications

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“…A variety of chemicals, including nitrate, can pass through the soil and potentially contaminate groundwater (Hutchins et al, 2018). Beneath the agricultural lands, nitrate is the primary form of nitrogen.…”

Section: Introductionmentioning

confidence: 99%

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

Hosseini

Malekian

Choubin

et al. 2018

Science of The Total Environment

280

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This study aimed to develop a novel framework for risk assessment of nitrate groundwater contamination by integrating chemical and statistical analysis for an arid region. A standard method was applied for assessing the vulnerability of groundwater to nitrate pollution in Lenjanat plain, Iran. Nitrate concentration were collected from 102 wells of the plain and used to provide pollution occurrence and probability maps. Three machine learning models including boosted regression trees (BRT), multivariate discriminant analysis (MDA), and support vector machine (SVM) were used for the probability of groundwater pollution occurrence. Afterwards, an ensemble modeling approach was applied for production of the groundwater pollution occurrence probability map. Validation of the models was carried out using area under the receiver operating characteristic curve method (AUC); values above 80 percent were selected to contribute in ensembling process. Results indicated that accuracy for the three models ranged from 0.81 to 0.87, therefore all models were considered for ensemble modeling process. The resultant groundwater pollution risk (produced by vulnerability, pollution, and probability maps) indicated that the central regions of the plain have high and very high risk of nitrate pollution further confirmed by the exiting landuse map. The findings may provide very helpful information in decision making for groundwater pollution risk management especially in semi-arid regions.

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Section: Introductionmentioning

confidence: 99%

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

Hosseini

Malekian

Choubin

et al. 2018

Science of The Total Environment

280

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“…During spring, autumn, and winter, the Xiushui River showed obvious gaining conditions (RW-GW) with highly variable Darcy flux of up to +0.4 m/day, that is, discharge from groundwater to the river (Figure 8b) (Gu et al, 2012). Human activities, such as groundwater abstraction and dam operation, have been shown to have large effects on surface water-groundwater interactions (Francis, Francis, & Cardenas, 2010;Hutchins et al, 2018). In the case of the Xiushui River adjacent to the floodplain wetland of Poyang Lake, the dam operation upstream (~8 km from the study area) causes a significant change in the river level, which alters the hydraulic gradient and results in a dynamic river-groundwater exchange.…”

Section: Temporal Changes In Flux Ratementioning

confidence: 99%

“…Natural exchanges between surface water and groundwater can strongly affect physical hydrological processes (Karan, Sebok, & Engesgaard, ; Winter, Harvey, Franke, & Alley, ), properties (Hayashi & Rosenberry, ; Jin et al, ), and the ecological behaviour of both water bodies (Hanrock, Boulton, & Humphreys, ; Kaandorp et al, ). The potential impacts of climate change and human activities on surface and groundwater resources increase the urgency for reliable assessment of surface water–groundwater interactions (Hutchins et al, ; Smerdon, ).…”

Section: Introductionmentioning

confidence: 99%

Assessing surface water–groundwater interactions in a complex river‐floodplain wetland‐isolated lake system

Zhang

et al. 2018

River Research & Apps

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Floodplain systems are most often hydrologically complex settings characterized by highly variable surface water–groundwater interactions that are subjected to wide‐ranging wetting and drying over seasonal timeframes. This study used field methods, statistical analysis, and the Darcy's law approach to explore surface water–groundwater dynamics, interactions, and fluxes in a geographically complex river‐floodplain wetland‐isolated lake system (Poyang Lake, China). The floodplain system of Poyang Lake is affected by strongly seasonal shifts between dry and wet processes that cause marked changes in surface water and groundwater flow regimes. Results indicate that wetland groundwater is more sensitive to variations in river levels than the seasonal isolated lakes. In general, groundwater levels are lower than those of the isolated lakes but slightly higher than river levels. Statistical analysis indicates that the river hydrology plays a more significant role than the isolated lakes in controlling floodplain groundwater dynamics. Overall, the river shows gaining conditions and occasionally losing conditions with highly variable Darcy fluxes of up to +0.4 and −0.2 m/day, respectively, whereas the isolated lakes are more likely to show slightly losing conditions (less than −0.1 m/day). Although seasonal flux rates range from 7.5 to 48.2 m/day for surface water–groundwater interactions in the floodplain, the flux rates for river–groundwater interactions were around four to seven times higher than that of the isolated lake–groundwater interactions. The outcomes of this study have important implications for improving the understanding of the water resources, water quality, and ecosystem functioning for both the river and the lake.

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“…The unreasonable development and utilization of water resources, as well as the discharging of sewage, have brought severe challenges to the sustainable development of society [1]. Water resources, as a carrier of human survival, are of great significance to humanity but are being increasingly threatened by factors such as the urbanization, agricultural intensification, and climate change [2]. Since the 1960s, China's environment has suffered various degrees of damage, among which the destruction of water resources is the most serious [3].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Regional Water Environment Integrated Governance: Case Study from Henan Province, China

Tang

Dong

et al. 2020

IJERPH

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The performance of the regional water environment integrated governance is affected by many factors. This study took place in Henan Province, China, as the research area, and constructed an index system through the comprehensive consideration of three target layers based on the Ecological-Social-Economic (ESE) framework. Due to advantages such as strong objectivity and operability, the improved entropy-weight technique for the order of preference by similarity to the ideal solution (TOPSIS) model can greatly overcome subjective human interference and render the evaluation results more reliable. Therefore, it was introduced to evaluate the water environment integrated governance in Henan from 2007 to 2016. By applying the obstacle degree model, the obstacle factors were then diagnosed. The results of this study show that the overall performance of the integrated governance was generally improved in Henan from 2007 to 2016. Performance levels of the three target layers exhibited different trends, of which the social and economic benefits presented a linear increase year by year, but the ecological benefits presented a fluctuating downward trend. The obstacle on the Henan water environment integrated governance mainly comes from the ecological and economic benefits index. Therefore, a series of countermeasures have been proposed as a means of improving the governance performance in Henan.the new era. To promote the construction of ecological civilization, the governance of environmental pollution must be accelerated as soon as possible. In this study, research into the issue of water environment integrated governance has gradually become a focal point. The formulation of a scientific and reasonable mechanism to evaluate the performance of water environment integrated governance is currently a significant issue in both the theory and practice of water environment improvement.The shortage and serious pollution of water resources are severe obstacles to meeting the demand for clean water [5,6]. Academic research on the water environment governance from different perspectives has been emerging in an endless stream [7]. At present, the research mainly includes the vulnerability of water resources [8], evaluation of water quality [9], and methods of urban water governance [10]. The construction of evaluation indexes has gradually changed from the traditional viewpoint of 'water ecological' to the more comprehensive evaluation of ecology, society and economics [11,12]. For example, Fekete and Stakhiv studied the establishment of such indicators for a performance evaluation index system, and outlined a conceptual framework for indicators suitable to guiding both the water management planning as well as implementation evaluation [13]. On the basis of the ILBM (Lake Basin Management Initiative), Chidammodzi and Muhandiki built an indicator system from two aspects, namely the water resource subsystems and socioeconomic subsystems for the evaluation of water environment governance in the Lake Malawi Basin [14].The existing rese...

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Combined impacts of future land-use and climate stressors on water resources and quality in groundwater and surface waterbodies of the upper Thames river basin, UK

Cited by 67 publications

References 38 publications

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

Assessing surface water–groundwater interactions in a complex river‐floodplain wetland‐isolated lake system

Performance Evaluation of Regional Water Environment Integrated Governance: Case Study from Henan Province, China

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