A GIS Tool for the Land Carrying Capacity of Large Solar Plants

Mondino, E. Borgogno; Fabrizio, Enrico; Chiabrando, Roberto

doi:10.1016/j.egypro.2014.02.178

Cited by 23 publications

(18 citation statements)

References 14 publications

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“…With reference to the two concepts of environmental capacity and environmental carrying capacity, the majority of researchers from Western countries do not differentiate between them. Instead, they generally study the capacity of ecological and urban resources from the perspective of the ecological or environmental system itself, such as forests, land use, marine, mineral and transportation capacity (Zeng et al, 1991;Arrow et al, 1995;Saveriades, 2000;Furuya, 2004;Mondino et al, 2014;Martire et al, 2015).…”

Section: Background Concepts and Technology Roadmapmentioning

confidence: 99%

Urban atmospheric environmental capacity and atmospheric environmental carrying capacity constrained by GDP–PM2.5

Zhou

2017

Ecological Indicators

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China faces a contradictory period of economic development and environmental protection, with it being essential to control total emissions within the limit of atmospheric environmental capacity (AEC) by promoting atmospheric environmental carrying capacity (AECC). This implies that well-calculated AEC and AECC values are the key macro-criteria for improving environmental quality and supporting the challenging coordinated development of economy and environment. When considering compound air pollution characterised as fine particulate matter (PM 2.5), conventional methods are not capable of calculating AEC and AECC, but the system dynamics (SD) method retains the advantage of simplicity in resolving complex problems. In the present study, we first describe the background and definitions of AEC and AECC, which are different from Western concepts, and their dialectical relationships. Then, with the statistical data from Wuhan city in 2014, we establish an 'economy-energy-atmospheric environment' dynamic model using the SD method, which does not need to simulate the complicated physicochemical processes of atmospheric transmission and diffusion. Instead, it uses the pollutants' proportionality factors and conversion rates to establish quantitative connections among different types of variables. Finally, we simulate the dynamic trends of gross domestic production (GDP), PM 2.5 , and six air pollutant emissions between 2015 and 2030 in four different scenarios and calculate the results of AEC and AECC constrained by GDP and PM 2.5 .

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Section: Background Concepts and Technology Roadmapmentioning

confidence: 99%

Urban atmospheric environmental capacity and atmospheric environmental carrying capacity constrained by GDP–PM2.5

Zhou

2017

Ecological Indicators

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“…Since the 1970s, different contributions have been developed, considerably solving problems in land management, such as evaluation of natural resources, agricultural land management, water management and control, or environmental planning [15,52,53]. According to [54], the application of geomatics to renewable resource assessment, in particular to the solar resource, is a topic worth investigating [55]. GIS is thus a suitable solution for spatial analysis of solar resources, considering spatial distribution of the potential, dependence on geographical locations, and levels of use according to the technology [6].…”

Section: Preliminariesmentioning

confidence: 99%

GIS based solar resource analysis for irrigation purposes: Rural areas comparison under groundwater scarcity conditions

Rubio-Aliaga

Sánchez-Lozano

García-Cáscales

et al. 2016

Solar Energy Materials and Solar Cells

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During the past decade, most governments have been promoting energy efficiency programs and the integration of renewable energy sources into the majority of energy uses. Among the diferent sectors, the agricultural sector is becoming a more active participant to reduce fossil fuel dependence and improve environmental sustainability. Indeed, agriculture usually combines both a high energy demand and water problems associated with over-exploited aquifers, providing great potential and remarkable opportunities to change the energy mix and maximize the use and integration of natural resources in a rational way. Considering this framework, the present paper describes and compares the solar resource integration and its effects on agricultural pumping purposes in two Mediterranean countries, Spain and Morocco, with significant differences in terms of energy mix, climatic conditions and energy policies. As a novel contribution in this paper, we propose the use of GIS to analyze the spatial and temporal variability of the solar resource through real data of both locations, as well as to study groundwater resources. With this aim, two technical proposals for irrigation purposes are compared in terms of environmental benefits, CO 2 emissions and agriculture energy model changes: diesel equipment and photovoltaic system. Results based on solar radiation resource, pumping requirements and aquifer depth are included in the paper.

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“…The research evaluates the spatial policy established by the municipalities of the city and its surroundings and presents alternative scenarios of residential area development. The alternative scenarios were built using excluded environmental zones and restricted environmental zones (Mondino et al, 2014) to protect productive ecosystems, increase biodiversity (Mondino et al, 2014) and allocate land use for housing purposes in a more sustainable manner. The difference between environmental zones arises from legal requirements imposed on nature protection forms such as national parks.…”

Section: Introductionmentioning

confidence: 99%

“…The restricted environmental zones are not mandatory. However, excluding productive ecosystems or flooded area would avoid reducing biodiversity and decrease the vulnerability to flooding of future housing areas (Mondino et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Environmental Carrying Capacity Assessment—the Policy Instrument and Tool for Sustainable Spatial Management

Świąder

Szewrański

Kazak

2020

Front. Environ. Sci.

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A GIS Tool for the Land Carrying Capacity of Large Solar Plants

Cited by 23 publications

References 14 publications

Urban atmospheric environmental capacity and atmospheric environmental carrying capacity constrained by GDP–PM2.5

Urban atmospheric environmental capacity and atmospheric environmental carrying capacity constrained by GDP–PM2.5

GIS based solar resource analysis for irrigation purposes: Rural areas comparison under groundwater scarcity conditions

Environmental Carrying Capacity Assessment—the Policy Instrument and Tool for Sustainable Spatial Management

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