Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045

Study region: This study focuses on the Bojiang Lake Basin in Erdos, China, covering an area of 744.56 km2. Study focus: While the global significance of lake ecosystems is well established, few studies have investigated the long-term dynamics of Bojiang Lake, particularly the interplay between huma...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad Naeem, Yongqiang Zhang, Xiaoqiang Tian, Ping Miao, Congcong Li, Zhenwu Xu, Longhao Wang, Faisal Mumtaz, Zixuan Tang, Shaoyang He
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581825000400
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832540376048599040
author Muhammad Naeem
Yongqiang Zhang
Xiaoqiang Tian
Ping Miao
Congcong Li
Zhenwu Xu
Longhao Wang
Faisal Mumtaz
Zixuan Tang
Shaoyang He
author_facet Muhammad Naeem
Yongqiang Zhang
Xiaoqiang Tian
Ping Miao
Congcong Li
Zhenwu Xu
Longhao Wang
Faisal Mumtaz
Zixuan Tang
Shaoyang He
author_sort Muhammad Naeem
collection DOAJ
description Study region: This study focuses on the Bojiang Lake Basin in Erdos, China, covering an area of 744.56 km2. Study focus: While the global significance of lake ecosystems is well established, few studies have investigated the long-term dynamics of Bojiang Lake, particularly the interplay between human activities and climate change. This study assesses lake area fluctuations and land use/land cover changes in the Bojiang Lake Basin from 2000 to 2023 and provides projections for 2024–2045 using the CA-ANN model. New hydrological insights for the region: From 2000–2011, the lake’s surface area decreased by approximately 80 %, shrinking from 9.78 km2 to 1.92 km2. Between 2012 and 2023, the lake area recovered by 340 %, expanding to 8.49 km2, primarily due to increased precipitation and improved water management practices. Projections for 2024–2045 suggest further hydrological changes, with the lake area expected to increase by 42.67 %, reaching 12.17 km2 by 2045. Additionally, vegetation cover is expected to rise by 1.97 %, while barren land will decrease by 3.10 %. However, built-up areas are predicted to grow by 47.73 %, reflecting ongoing urban expansion. These findings emphasize the need for integrated land and water management strategies to balance urban growth with environmental conservation. Sustainable planning is crucial for mitigating the impacts of urbanization and climate change, ensuring the long-term ecological stability of the Bojiang Lake Basin.
format Article
id doaj-art-26e9da770f82476c83aba648a12dc27a
institution Kabale University
issn 2214-5818
language English
publishDate 2025-04-01
publisher Elsevier
record_format Article
series Journal of Hydrology: Regional Studies
spelling doaj-art-26e9da770f82476c83aba648a12dc27a2025-02-05T04:32:06ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-04-0158102216Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045Muhammad Naeem0Yongqiang Zhang1Xiaoqiang Tian2Ping Miao3Congcong Li4Zhenwu Xu5Longhao Wang6Faisal Mumtaz7Zixuan Tang8Shaoyang He9Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Corresponding author.Ordos Water Conservancy Bureau, Inner Mongolia, Ordos 017000, ChinaOrdos Water Conservancy Bureau, Inner Mongolia, Ordos 017000, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Remote Sensing Sciences, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaStudy region: This study focuses on the Bojiang Lake Basin in Erdos, China, covering an area of 744.56 km2. Study focus: While the global significance of lake ecosystems is well established, few studies have investigated the long-term dynamics of Bojiang Lake, particularly the interplay between human activities and climate change. This study assesses lake area fluctuations and land use/land cover changes in the Bojiang Lake Basin from 2000 to 2023 and provides projections for 2024–2045 using the CA-ANN model. New hydrological insights for the region: From 2000–2011, the lake’s surface area decreased by approximately 80 %, shrinking from 9.78 km2 to 1.92 km2. Between 2012 and 2023, the lake area recovered by 340 %, expanding to 8.49 km2, primarily due to increased precipitation and improved water management practices. Projections for 2024–2045 suggest further hydrological changes, with the lake area expected to increase by 42.67 %, reaching 12.17 km2 by 2045. Additionally, vegetation cover is expected to rise by 1.97 %, while barren land will decrease by 3.10 %. However, built-up areas are predicted to grow by 47.73 %, reflecting ongoing urban expansion. These findings emphasize the need for integrated land and water management strategies to balance urban growth with environmental conservation. Sustainable planning is crucial for mitigating the impacts of urbanization and climate change, ensuring the long-term ecological stability of the Bojiang Lake Basin.http://www.sciencedirect.com/science/article/pii/S2214581825000400Machine LearningCA-ANN ModelLake changesLand Use and Land Cover (LULC) ChangesClimate ChangeWater management
spellingShingle Muhammad Naeem
Yongqiang Zhang
Xiaoqiang Tian
Ping Miao
Congcong Li
Zhenwu Xu
Longhao Wang
Faisal Mumtaz
Zixuan Tang
Shaoyang He
Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045
Journal of Hydrology: Regional Studies
Machine Learning
CA-ANN Model
Lake changes
Land Use and Land Cover (LULC) Changes
Climate Change
Water management
title Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045
title_full Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045
title_fullStr Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045
title_full_unstemmed Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045
title_short Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045
title_sort assessing and predicting bojiang lake area and lulc changes from 2000 to 2045
topic Machine Learning
CA-ANN Model
Lake changes
Land Use and Land Cover (LULC) Changes
Climate Change
Water management
url http://www.sciencedirect.com/science/article/pii/S2214581825000400
work_keys_str_mv AT muhammadnaeem assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045
AT yongqiangzhang assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045
AT xiaoqiangtian assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045
AT pingmiao assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045
AT congcongli assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045
AT zhenwuxu assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045
AT longhaowang assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045
AT faisalmumtaz assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045
AT zixuantang assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045
AT shaoyanghe assessingandpredictingbojianglakeareaandlulcchangesfrom2000to2045