Evolution trends and driving factors of industrial water use: A case study of Ordos City, China
With rapid industrialization and urbanization, water shortages in China have increasingly constrained industrial development. This study explores the evolution trends and driving factors of industrial water use as a non-engineering approach to mitigate resource distribution imbalances. A high-dimens...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Desalination and Water Treatment |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1944398625000487 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825206960252780544 |
|---|---|
| author | Hong Lv Yiqing He Yuan Liu Xinjian Guan Wenxiu Shang Zheng Xiaokang |
| author_facet | Hong Lv Yiqing He Yuan Liu Xinjian Guan Wenxiu Shang Zheng Xiaokang |
| author_sort | Hong Lv |
| collection | DOAJ |
| description | With rapid industrialization and urbanization, water shortages in China have increasingly constrained industrial development. This study explores the evolution trends and driving factors of industrial water use as a non-engineering approach to mitigate resource distribution imbalances. A high-dimensional control factor identification method was developed, integrating ridge regression, panel Tobit, LMDI, and PSO-SVM techniques. Using Ordos, a key industrial city, as a case study, findings reveal that industrial water consumption rose from 9.11 million m³ in 1990–356.6 million m³ in 2022, with an average annual growth rate of 4 %. The evolution of industrial water use is categorized into three stages, with the third stage showing the highest growth rate. Key driving factors include power generation, heavy industry proportion, and industrial added value, while inhibiting factors involve water recycling rates, sewage reuse, and policy measures. This research offers insights into industrial water dynamics and informs strategies for sustainable water resource management. |
| format | Article |
| id | doaj-art-8b7b9110ce4b41e98aef0bea6a4fd370 |
| institution | Kabale University |
| issn | 1944-3986 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Desalination and Water Treatment |
| spelling | doaj-art-8b7b9110ce4b41e98aef0bea6a4fd3702025-02-07T04:47:25ZengElsevierDesalination and Water Treatment1944-39862025-01-01321101032Evolution trends and driving factors of industrial water use: A case study of Ordos City, ChinaHong Lv0Yiqing He1Yuan Liu2Xinjian Guan3Wenxiu Shang4Zheng Xiaokang5Yellow River Engineering Consulting Co., Ltd., Zhengzhou 450003, ChinaYellow River Engineering Consulting Co., Ltd., Zhengzhou 450003, ChinaSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China; Corresponding author.School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, ChinaYellow River Engineering Consulting Co., Ltd., Zhengzhou 450003, ChinaYellow River Engineering Consulting Co., Ltd., Zhengzhou 450003, ChinaWith rapid industrialization and urbanization, water shortages in China have increasingly constrained industrial development. This study explores the evolution trends and driving factors of industrial water use as a non-engineering approach to mitigate resource distribution imbalances. A high-dimensional control factor identification method was developed, integrating ridge regression, panel Tobit, LMDI, and PSO-SVM techniques. Using Ordos, a key industrial city, as a case study, findings reveal that industrial water consumption rose from 9.11 million m³ in 1990–356.6 million m³ in 2022, with an average annual growth rate of 4 %. The evolution of industrial water use is categorized into three stages, with the third stage showing the highest growth rate. Key driving factors include power generation, heavy industry proportion, and industrial added value, while inhibiting factors involve water recycling rates, sewage reuse, and policy measures. This research offers insights into industrial water dynamics and informs strategies for sustainable water resource management.http://www.sciencedirect.com/science/article/pii/S1944398625000487Industrial waterEvolution trendsInfluencing factorsDriving mechanismOrdos City |
| spellingShingle | Hong Lv Yiqing He Yuan Liu Xinjian Guan Wenxiu Shang Zheng Xiaokang Evolution trends and driving factors of industrial water use: A case study of Ordos City, China Desalination and Water Treatment Industrial water Evolution trends Influencing factors Driving mechanism Ordos City |
| title | Evolution trends and driving factors of industrial water use: A case study of Ordos City, China |
| title_full | Evolution trends and driving factors of industrial water use: A case study of Ordos City, China |
| title_fullStr | Evolution trends and driving factors of industrial water use: A case study of Ordos City, China |
| title_full_unstemmed | Evolution trends and driving factors of industrial water use: A case study of Ordos City, China |
| title_short | Evolution trends and driving factors of industrial water use: A case study of Ordos City, China |
| title_sort | evolution trends and driving factors of industrial water use a case study of ordos city china |
| topic | Industrial water Evolution trends Influencing factors Driving mechanism Ordos City |
| url | http://www.sciencedirect.com/science/article/pii/S1944398625000487 |
| work_keys_str_mv | AT honglv evolutiontrendsanddrivingfactorsofindustrialwateruseacasestudyofordoscitychina AT yiqinghe evolutiontrendsanddrivingfactorsofindustrialwateruseacasestudyofordoscitychina AT yuanliu evolutiontrendsanddrivingfactorsofindustrialwateruseacasestudyofordoscitychina AT xinjianguan evolutiontrendsanddrivingfactorsofindustrialwateruseacasestudyofordoscitychina AT wenxiushang evolutiontrendsanddrivingfactorsofindustrialwateruseacasestudyofordoscitychina AT zhengxiaokang evolutiontrendsanddrivingfactorsofindustrialwateruseacasestudyofordoscitychina |