scholarly journals The environmental impact of climate change adaptation on land use and water quality

2015 ◽  
Vol 5 (3) ◽  
pp. 255-260 ◽  
Author(s):  
Carlo Fezzi ◽  
Amii R. Harwood ◽  
Andrew A. Lovett ◽  
Ian J. Bateman
2015 ◽  
Vol 5 (4) ◽  
pp. 385-385 ◽  
Author(s):  
Carlo Fezzi ◽  
Amii R. Harwood ◽  
Andrew A. Lovett ◽  
Ian J. Bateman

2020 ◽  
pp. 161-165
Author(s):  
Bertram de Crom ◽  
Jasper Scholten ◽  
Janjoris van Diepen

To get more insight in the environmental performance of the Suiker Unie beet sugar, Blonk Consultants performed a comparative Life Cycle Assessment (LCA) study on beet sugar, cane sugar and glucose syrup. The system boundaries of the sugar life cycle are set from cradle to regional storage at the Dutch market. For this study 8 different scenarios were evaluated. The first scenario is the actual sugar production at Suiker Unie. Scenario 2 until 7 are different cane sugar scenarios (different countries of origin, surplus electricity production and pre-harvest burning of leaves are considered). Scenario 8 concerns the glucose syrup scenario. An important factor in the environmental impact of 1kg of sugar is the sugar yield per ha. Total sugar yield per ha differs from 9t/ha sugar for sugarcane to 15t/ha sugar for sugar beet (in 2017). Main conclusion is that the production of beet sugar at Suiker Unie has in general a lower impact on climate change, fine particulate matter, land use and water consumption, compared to cane sugar production (in Brazil and India) and glucose syrup. The impact of cane sugar production on climate change and water consumption is highly dependent on the country of origin, especially when land use change is taken into account. The environmental impact of sugar production is highly dependent on the co-production of bioenergy, both for beet and cane sugar.


2018 ◽  
Author(s):  
Carmen Longo ◽  
◽  
Elizabeth Balgord ◽  
Timothy F. Diedesch ◽  
John All

2018 ◽  
pp. 70-79 ◽  
Author(s):  
Le Viet Thang ◽  
Dao Nguyen Khoi ◽  
Ho Long Phi

In this study, we investigated the impact of climate change on streamflow and water quality (TSS, T-N, and T-P loads) in the upper Dong Nai River Basin using the Soil and Water Assessment Tool (SWAT) hydrological model. The calibration and validation results indicated that the SWAT model is a reasonable tool for simulating streamflow and water quality for this basin. Based on the well-calibrated SWAT model, the responses of streamflow, sediment load, and nutrient load to climate change were simulated. Climate change scenarios (RCP 4.5 and RCP 8.5) were developed from five GCM simulations (CanESM2, CNRM-CM5, HadGEM2-AO, IPSL-CM5A-LR, and MPI-ESM-MR) using the delta change method. The results indicated that climate in the study area would become warmer and wetter in the future. Climate change leads to increases in streamflow, sediment load, T-N load, and T-P load. Besides that, the impacts of climate change would exacerbate serious problems related to water shortage in the dry season and soil erosion and degradation in the wet season. In addition, it is indicated that changes in sediment yield and nutrient load due to climate change are larger than the corresponding changes in streamflow.


2018 ◽  
Vol 72 ◽  
pp. 563-569 ◽  
Author(s):  
Camila Linhares Rezende ◽  
Joana Stingel Fraga ◽  
Juliana Cabral Sessa ◽  
Gustavo Vinagre Pinto de Souza ◽  
Eduardo Delgado Assad ◽  
...  

2021 ◽  
Author(s):  
Sneha Santy ◽  
Pradeep Mujumdar ◽  
Govindasamy Bala

<p>High industrial discharge, excessive agricultural activities, untreated sewage disposal make the Kanpur region one of the most contaminated stretches of the Ganga river. This study analyses water quality for the combined future climate change and land use land cover scenarios for mid-century for a 238km long Kanpur stretch of Ganga river. Climate change projections from 21 General Circulation Models for the scenarios of RCP 4.5 and RCP 8.5 are considered and Land use Land Cover (LULC) projections are made with QGIS software. Streamflow and water temperature are modelled using the HEC-HMS model and a Water-Air temperature regression model, respectively. Water quality analysis is simulated using the QUAL2K model in terms of nine water quality parameters, dissolved oxygen, biochemical oxygen demand (BOD), ammonia nitrogen, nitrate nitrogen, total nitrogen, organic phosphorus, inorganic phosphorus, total phosphorus and faecal coliform. Climate change impact alone is projected to result in degraded water quality in the future. Combined climate change and LULC change may further degrade water quality, especially at the study area's critical locations. Our study will provide guidance to policymakers to safeguard the Ganga river from further pollution.</p>


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