Development of fuzzy multi-criteria approach to prioritize locations of treated wastewater use considering climate change scenarios

2014 ◽  
Vol 146 ◽  
pp. 505-516 ◽  
Author(s):  
Eun-Sung Chung ◽  
Yeonjoo Kim
Keyword(s):  
Climate Change ◽  
Treated Wastewater ◽  
Climate Change Scenarios ◽  
Wastewater Use

Industrial Wastewater Management in the Context of Climate Change Adaptation in Selected Cities of India

2020 ◽  
pp. 347-365
Author(s):  
Rahul Hiremath ◽  
Bimlesh Kumar ◽  
Sheelratan S. Bansode ◽  
Gurudas Nulkar ◽  
Sharmila S. Patil ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Urban Areas ◽  
Treated Wastewater ◽  
Wastewater Management ◽  
Storm Events ◽  
Water Users ◽  
Food Needs ◽  
Indian Cities ◽  
Wastewater Use

Climate change and wastewater control are one of the foremost demanding situations for Indian cities. Urbanization and unparalleled growth of cities across India continue to create immense pressure on land and water resources. This uncontrolled growth continues to produce growing volumes of wastewater. Climate change, impacts inclusive of, intense storm events in summer time or extended moist periods in wintry weather are quite visible in India. In urban and peri-urban areas, wastewater use for agriculture is an emerging precedence. Due to susceptible enforcement of regulatory, most of the wastewater generated is permitted off untreated/ partially treated. While many previous studies have checked out the global modifications and associated impacts of climatic variations on water resources, few have targeted at the evaluation of the particular effects and adaptation priorities for water systems in towns. Proper reuse of wastewater for irrigation will significantly lessen the shortage, offer a sustainable water source, improving farming productiveness, lessen pollution, generate livelihood potential for low earnings city households along with contributing to their each day food needs. There are tradeoffs which need to understand which includes problems to individual's health, and surroundings. Through suitable treatment methods, water users' cooperatives, policy shift and the introduction of market based approaches, treated wastewater use in agriculture can be enhanced and all associated risks can also be curtailed. This chapter focuses on use of treated urban wastewater and its management for agriculture in selected Indian cities.

Industrial Wastewater Management in the Context of Climate Change Adaptation in Selected Cities of India

2017 ◽  
pp. 294-313
Author(s):  
Rahul Hiremath ◽  
Bimlesh Kumar ◽  
Sheelratan S. Bansode ◽  
Gurudas Nulkar ◽  
Sharmila S. Patil ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Urban Areas ◽  
Treated Wastewater ◽  
Wastewater Management ◽  
Storm Events ◽  
Water Users ◽  
Food Needs ◽  
Indian Cities ◽  
Wastewater Use

Climate change and wastewater control are one of the foremost demanding situations for Indian cities. Urbanization and unparalleled growth of cities across India continue to create immense pressure on land and water resources. This uncontrolled growth continues to produce growing volumes of wastewater. Climate change, impacts inclusive of, intense storm events in summer time or extended moist periods in wintry weather are quite visible in India. In urban and peri-urban areas, wastewater use for agriculture is an emerging precedence. Due to susceptible enforcement of regulatory, most of the wastewater generated is permitted off untreated/ partially treated. While many previous studies have checked out the global modifications and associated impacts of climatic variations on water resources, few have targeted at the evaluation of the particular effects and adaptation priorities for water systems in towns. Proper reuse of wastewater for irrigation will significantly lessen the shortage, offer a sustainable water source, improving farming productiveness, lessen pollution, generate livelihood potential for low earnings city households along with contributing to their each day food needs. There are tradeoffs which need to understand which includes problems to individual's health, and surroundings. Through suitable treatment methods, water users' cooperatives, policy shift and the introduction of market based approaches, treated wastewater use in agriculture can be enhanced and all associated risks can also be curtailed. This chapter focuses on use of treated urban wastewater and its management for agriculture in selected Indian cities.

scholarly journals Impacts of climate change scenarios on dissolved oxygen in the River Thames, UK

2009 ◽  
Vol 40 (2-3) ◽  
pp. 138-152 ◽  
Author(s):  
B. A. Cox ◽  
P. G. Whitehead
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Dissolved Oxygen ◽  
Probability Distributions ◽  
Stochastic Modelling ◽  
River System ◽  
Treated Wastewater ◽  
Climate Change Scenarios ◽  
Quality Model ◽  
The Impact

A water quality model is used to assess the impact of possible climate change on dissolved oxygen (DO) in the Thames. The Thames catchment is densely populated and, typically, many pressures are anthropogenic. However, that same population also relies on the river for potable water supply and as a disposal route for treated wastewater. Thus, future water quality will be highly dependent on future activity. Dynamic and stochastic modelling has been used to assess the likely impacts on DO dynamics along the river system and the probability distributions associated with future variability. The modelling predictions indicate that warmer river temperatures and drought act to reduce dissolved oxygen concentrations in lowland river systems.

Modelling impacts of different climate change scenarios on soil water regime of a Mollisol

2005 ◽  
Vol 33 (1) ◽  
pp. 185-188 ◽  
Author(s):  
Csilla Farkas ◽  
Roger Randriamampianina ◽  
Juraj Majerčak
Keyword(s):  
Climate Change ◽  
Soil Water ◽  
Water Regime ◽  
Climate Change Scenarios ◽  
Soil Water Regime

scholarly journals Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

2021 ◽  
Author(s):  
Mark Cooper ◽  
Kai P. Voss-Fels ◽  
Carlos D. Messina ◽  
Tom Tang ◽  
Graeme L. Hammer
Keyword(s):  
Climate Change ◽  
Crop Improvement ◽  
Target Population ◽  
Crop Productivity ◽  
Climate Change Scenarios ◽  
Global Food Security ◽  
Genotype By Environment ◽  
Improvement Strategies ◽  
Yield Gaps ◽  
On Farm

Abstract Key message Climate change and Genotype-by-Environment-by-Management interactions together challenge our strategies for crop improvement. Research to advance prediction methods for breeding and agronomy is opening new opportunities to tackle these challenges and overcome on-farm crop productivity yield-gaps through design of responsive crop improvement strategies. Abstract Genotype-by-Environment-by-Management (G × E × M) interactions underpin many aspects of crop productivity. An important question for crop improvement is “How can breeders and agronomists effectively explore the diverse opportunities within the high dimensionality of the complex G × E × M factorial to achieve sustainable improvements in crop productivity?” Whenever G × E × M interactions make important contributions to attainment of crop productivity, we should consider how to design crop improvement strategies that can explore the potential space of G × E × M possibilities, reveal the interesting Genotype–Management (G–M) technology opportunities for the Target Population of Environments (TPE), and enable the practical exploitation of the associated improved levels of crop productivity under on-farm conditions. Climate change adds additional layers of complexity and uncertainty to this challenge, by introducing directional changes in the environmental dimension of the G × E × M factorial. These directional changes have the potential to create further conditional changes in the contributions of the genetic and management dimensions to future crop productivity. Therefore, in the presence of G × E × M interactions and climate change, the challenge for both breeders and agronomists is to co-design new G–M technologies for a non-stationary TPE. Understanding these conditional changes in crop productivity through the relevant sciences for each dimension, Genotype, Environment, and Management, creates opportunities to predict novel G–M technology combinations suitable to achieve sustainable crop productivity and global food security targets for the likely climate change scenarios. Here we consider critical foundations required for any prediction framework that aims to move us from the current unprepared state of describing G × E × M outcomes to a future responsive state equipped to predict the crop productivity consequences of G–M technology combinations for the range of environmental conditions expected for a complex, non-stationary TPE under the influences of climate change.

scholarly journals Mapping current and potential future distributions of the oak tree (Quercus aegilops) in the Kurdistan Region, Iraq

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Nabaz R. Khwarahm
Keyword(s):  
Climate Change ◽  
Habitat Suitability ◽  
Environmental Variables ◽  
Climate Changes ◽  
Future Climate ◽  
Annual Precipitation ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Kurdistan Region ◽  
Oak Tree

Abstract Background The oak tree (Quercus aegilops) comprises ~ 70% of the oak forests in the Kurdistan Region of Iraq (KRI). Besides its ecological importance as the residence for various endemic and migratory species, Q. aegilops forest also has socio-economic values—for example, as fodder for livestock, building material, medicine, charcoal, and firewood. In the KRI, Q. aegilops has been degrading due to anthropogenic threats (e.g., shifting cultivation, land use/land cover changes, civil war, and inadequate forest management policy) and these threats could increase as climate changes. In the KRI and Iraq as a whole, information on current and potential future geographical distributions of Q. aegilops is minimal or not existent. The objectives of this study were to (i) predict the current and future habitat suitability distributions of the species in relation to environmental variables and future climate change scenarios (Representative Concentration Pathway (RCP) 2.6 2070 and RCP8.5 2070); and (ii) determine the most important environmental variables controlling the distribution of the species in the KRI. The objectives were achieved by using the MaxEnt (maximum entropy) algorithm, available records of Q. aegilops, and environmental variables. Results The model demonstrated that, under the RCP2.6 2070 and RCP8.5 2070 climate change scenarios, the distribution ranges of Q. aegilops would be reduced by 3.6% (1849.7 km2) and 3.16% (1627.1 km2), respectively. By contrast, the species ranges would expand by 1.5% (777.0 km2) and 1.7% (848.0 km2), respectively. The distribution of the species was mainly controlled by annual precipitation. Under future climate change scenarios, the centroid of the distribution would shift toward higher altitudes. Conclusions The results suggest (i) a significant suitable habitat range of the species will be lost in the KRI due to climate change by 2070 and (ii) the preference of the species for cooler areas (high altitude) with high annual precipitation. Conservation actions should focus on the mountainous areas (e.g., by establishment of national parks and protected areas) of the KRI as climate changes. These findings provide useful benchmarking guidance for the future investigation of the ecology of the oak forest, and the categorical current and potential habitat suitability maps can effectively be used to improve biodiversity conservation plans and management actions in the KRI and Iraq as a whole.

Impact assessment of common bean availability in Brazil under climate change scenarios

2021 ◽  
Vol 191 ◽  
pp. 103174
Author(s):  
Luís A.S. Antolin ◽  
Alexandre B. Heinemann ◽  
Fábio R. Marin
Keyword(s):  
Climate Change ◽  
Impact Assessment ◽  
Common Bean ◽  
Climate Change Scenarios
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