A neural networks-based evaluation of ecological effectiveness and economic worth in forests DOI

Liulu Zhan,

Yang JianZhou, Yi‐Sheng Liu

et al.

Soft Computing, Journal Year: 2023, Volume and Issue: 27(24), P. 19339 - 19358

Published: Oct. 19, 2023

Language: Английский

Photovoltaic Solar Farms Site Selection through “Policy Constraints–Construction Suitability”: A Case Study of Qilian County, Qinghai DOI Creative Commons

S.M. Chai,

Fanjie Kong,

Yu Liu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1420 - 1420

Published: Sept. 3, 2024

The scientific selection of photovoltaic (PV) sites is essential for achieving sustainable development renewable energy and ensuring regional ecological security. In western China, extensive land resources coexist with a fragile environment. To this end, we propose PV siting framework based on policy restrictions construction suitability. This paper evaluated the suitability index (CSI) from four dimensions topography, climate, location, ecology proposed typical “PV+” models. Then, Qilian County was selected as case study. results showed following: (1) Qilian, 59.97% (8333.18 km2) area unsuitable due to restrictions, leaving 40.03% (5563.02 available construction. (2) most suitable areas are approximately in southern areas, where there lot common reported under (3) Three distinct models according guidelines local circumstances, including + pastoralism model, mine rehabilitation hydropower model. can be used determine solar farms appropriate well promote energy.

Language: Английский

Citations

0

Optimal operation model of ecological flow of hydropower station based on genetic algorithm and neural network DOI Creative Commons

Yong Luo

Heliyon, Journal Year: 2024, Volume and Issue: 10(20), P. e39441 - e39441

Published: Oct. 1, 2024

Language: Английский

Citations

0

Comprehensive optimization of ecological network in inland river basin from the perspective of future development: A case study of Shiyang River, China DOI Creative Commons

Xu AoKang,

Xiangyun Meng,

Jing Shi

et al.

Research in Cold and Arid Regions, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

0

A neural networks-based evaluation of ecological effectiveness and economic worth in forests DOI

Liulu Zhan,

Yang JianZhou, Yi‐Sheng Liu

et al.

Soft Computing, Journal Year: 2023, Volume and Issue: 27(24), P. 19339 - 19358

Published: Oct. 19, 2023

Language: Английский

Citations

0