A machine learning-based approach for flash flood susceptibility mapping considering rainfall extremes in the northeast region of Bangladesh DOI
Md. Enayet Chowdhury, A. K. M. Saiful Islam, Rashed Uz Zzaman

и другие.

Advances in Space Research, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Constructing and optimizing urban ecological network in the context of rapid urbanization for improving landscape connectivity DOI Creative Commons
Xinxin Huang, Haijun Wang,

Luyi Shan

и другие.

Ecological Indicators, Год журнала: 2021, Номер 132, С. 108319 - 108319

Опубликована: Окт. 25, 2021

The construction of the urban ecological network has a comprehensive effect on aesthetics, society and economy, provides driving force for sustainable development. However, we found few studies constructing optimizing networks in cities with highest human density. In this paper, landscape pattern indexes were applied to analyze characteristics morphological analysis (MSPA) identify source, connectivity region attributes revised resistance surface, was constructed by MCR model. results show that: (1) many land types mainly distributed tributaries Yangtze River, while only forest water areas occupied northwest are. (2) Compared 1995 2005, number corridors 2015 decreasing. Although improved, which River limited. (3) coordinated development protection optimization plan would promote functioning stability. This study recommendations network, are great significance protecting biodiversity, improving ecosystem functions, maintaining regional security pattern.

Язык: Английский

Процитировано

186

Differences in extremes and uncertainties in future runoff simulations using SWAT and LSTM for SSP scenarios DOI

Young Hoon Song,

‪Eun‐Sung Chung, Shamsuddin Shahid

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 838, С. 156162 - 156162

Опубликована: Май 29, 2022

Язык: Английский

Процитировано

76

Understanding Drivers of Land Use and Land Cover Change in Africa: A Review DOI
Eméline Sêssi Pélagie Assèdé, Hidirou Orou, Samadori Sorotori Honoré Biaou

и другие.

Current Landscape Ecology Reports, Год журнала: 2023, Номер 8(2), С. 62 - 72

Опубликована: Фев. 3, 2023

Язык: Английский

Процитировано

58

Land use and habitat quality change in the Yellow River Basin: A perspective with different CMIP6-based scenarios and multiple scales DOI Creative Commons

Xianglin Ji,

Yilin Sun, Wei Guo

и другие.

Journal of Environmental Management, Год журнала: 2023, Номер 345, С. 118729 - 118729

Опубликована: Авг. 3, 2023

Язык: Английский

Процитировано

48

Integrated modeling of hydrological processes and groundwater recharge based on land use land cover, and climate changes: A systematic review DOI Creative Commons
Jacob Kofi Mensah, Eric Antwi Ofosu, Sandow Mark Yidana

и другие.

Environmental Advances, Год журнала: 2022, Номер 8, С. 100224 - 100224

Опубликована: Апрель 9, 2022

Groundwater is the main available freshwater resource and therefore its use, management sustainability are closely related to Sustainable Development Goals (SDGs). However, Land Use Cover (LULC) climate change among factors impacting groundwater recharge. The use of land-use data in conjunction with hydrological models valuable tools for assessing these impacts on river basins. This systematic review aimed at integrated modeling approach evaluating processes recharge based LULC change. analysis 200 peer-reviewed articles indexed Scopus, Web Science. Continuous research development context-specific essential increase long-term viability water resources any basin. natural anthropogenic drivers basin interactions require integrating knowledge capabilities across biophysical responses, environmental problems, policies, economics, social, data.

Язык: Английский

Процитировано

58

Soil and water conservation effects of different types of vegetation cover on runoff and erosion driven by climate and underlying surface conditions DOI

Yanting Hu,

Zhang Fu, Zhuzhu Luo

и другие.

CATENA, Год журнала: 2023, Номер 231, С. 107347 - 107347

Опубликована: Июль 8, 2023

Язык: Английский

Процитировано

28

Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes DOI Creative Commons

Jiankun Ge,

Sen Wang, Xuewen Gong

и другие.

Agricultural Water Management, Год журнала: 2025, Номер 308, С. 109281 - 109281

Опубликована: Янв. 8, 2025

Язык: Английский

Процитировано

1

Influence of past climatic conditions on groundwater levels in basement aquifers of the Sahel DOI
Moussa Bruno Kafando,

Boubacar Abdou Boko,

Roland Yonaba

и другие.

Hydrogeology Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

1

Land Use‐Land Cover and Hydrological Modeling: A Review DOI Creative Commons
Amirhossein Shadmehri Toosi, Okke Batelaan, Margaret Shanafield

и другие.

Wiley Interdisciplinary Reviews Water, Год журнала: 2025, Номер 12(2)

Опубликована: Март 1, 2025

ABSTRACT Given the extent of recent land use‐land cover changes and consequences for hydrological effects, it is important to capture role that plays in model conceptualization. This need amplified under a changing climate, as sensitivity catchments climate change can vary depending on cover. Traditionally, calibration has prioritized parameter adjustment rather than enhancing representation processes. practice—though useful improving fit—can lead misinterpretations, especially when simulating varying conditions. While airborne satellite remote sensing technologies now allow frequent, large‐scale monitoring surface parameters, their spatiotemporal complexities remain underutilized models. By analyzing conceptualizations related processes within models, this paper reviews progress current state modeling approaches discusses future research needs directions. The path ahead one embracing technological advancements methodological rigor, focusing representing multifaceted reality.

Язык: Английский

Процитировано

1

Impacts of Climate Change and Land Use/Cover Change on Regional Hydrological Processes: Case of the Guangdong-Hong Kong-Macao Greater Bay Area DOI Creative Commons

Xueling Tan,

Suning Liu, Yong Tian

и другие.

Frontiers in Environmental Science, Год журнала: 2022, Номер 9

Опубликована: Янв. 4, 2022

Climate change and land use/cover (LUCC) have been widely recognized as the main driving forces that can affect regional hydrological processes, quantitative assessment of their impacts is great importance for sustainable development ecosystems, use planning water resources management. This study investigates climate LUCC on variables such streamflow (SF), soil moisture (SM) evapotranspiration (ET) in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) by using Soil Water Assessment Tools (SWAT) model under different scenarios during 1979–2018. The results show simulation performances were overall good, with Nash-Sutcliffe Efficiency Coefficient (NSE) coefficient determination (R 2 ) greater than 0.80 monthly-scale SF calibration validation. According to trend point tests meteorological series, baseline period (1979–1997) interference (1998–2018) determined. Interestingly, other types basically converted urban land, leading a rapid urbanization GBA. Compared values eight estuaries Pearl River Basin period, both has led decrease combined effect was slightly individual effect. Overall, important processes

Язык: Английский

Процитировано

34