Assessing the Hydrological Response to Land Use Changes Linking SWAT and CA‐Markov Models DOI
Chongfeng Ren, Xiyun Deng, Hongbo Zhang

и другие.

Hydrological Processes, Год журнала: 2024, Номер 38(11)

Опубликована: Ноя. 1, 2024

ABSTRACT Land use change, as a major driving factor of watershed hydrological process, has significant influence on change. In addition, series models, important tools for simulating impacts, are widely employed in studying land However, when employing model to analyse the impacts changes, most previous studies focused evolution historical change and lacked reasonable predictions future use. Therefore, it is necessary extend such scenarios cope with possible variations basin. Given this, this paper making Wuwei section Shiyang River Basin study area, coupled SWAT (Soil Water Assessment Tool) simulation CA‐Markov (cellular automata‐Markov chain) prediction regional effects caused by changes. general directly uses system‐generated suitability atlas. contrast, applied logistic regression Multi‐criteria evaluation (MCE) methods construct atlas, thereby establishing Logistic‐CA‐Markov MCE‐CA‐Markov models. Based results, main results follows: (1) The area mainly grassland barren, accounting more than 80%. Additionally, forest changing at highest rate among all types. (2) terms percentage forest, predicted (Multi‐criteria evaluation‐cellular largest coverage (57.78%), whereas Logistic lowest (54.69%), indicating that former pays attention sustainable development ecological environment. (3) area's R 2 = 0.83, NSE 0.79, PBIAS −18.6%, validation 0.81, 0.76, −17.8% demonstrate favourable application model. (4) simulated runoff under scenarios, amount increasing would eventually rise water yield (WYLD) lateral (LATQ), subsurface (GWQ), reducing surface (SURQ). contributes better understanding impact resources balance, thus guiding management development.

Язык: Английский

Deep learning model based on coupled SWAT and interpretable methods for water quality prediction under the influence of non-point source pollution DOI
Juan Huan,

Yixiong Fan,

Xiangen Xu

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 231, С. 109985 - 109985

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

2
Integrated Modeling and Management of Non-Point Source Pollution in the Bailin River Basin: Best Practices for Reducing Nutrient Loads DOI Creative Commons
Hao Wang,

Yifeng Liu,

Shijiang Zhu

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Фев. 10, 2025

Abstract The Bailin River, a key tributary of the Yangtze faces significant water quality challenges due to agricultural non-point source (NPS) pollution exacerbated by industrial discharge and urban runoff. This study employs Soil Water Assessment Tool (SWAT) analyze temporal spatial dynamics runoff as well total nitrogen (TN) phosphorus (TP) loads in River basin from 2020 2023. A critical area analysis was performed identify regions disproportionately contributing pollutant loads. Through various simulations, including different Best Management Practices (BMPs) scenarios, explores their effectiveness reducing nutrient findings reveal that losses are significantly concentrated during flood season, with TN TP accounting for 58.61% 58.92% annual totals, respectively. Specific BMP combining optimized fertilization, vegetation buffer strips, grass ditches, demonstrated substantial reduction, best combinations exceeding 58% reductions both TP. emphasizes necessity targeted interventions areas optimize management strategies achieve better outcomes. Continuous monitoring adaptive practices will be crucial addressing ongoing this basin. Ultimately, research contributes deeper understanding NPS mountainous watersheds highlights effective pathways improved ecological health quality.

Язык: Английский

Процитировано

0
Hydrological modeling of nutrient transport and mitigation strategies for non-point source pollution in the Bailin River basin DOI
Hao Wang,

Yifeng Liu,

Shijiang Zhu

и другие.

Journal of Contaminant Hydrology, Год журнала: 2025, Номер 273, С. 104617 - 104617

Опубликована: Май 20, 2025

Язык: Английский

Процитировано

0
Runoff and Drought Responses to Land Use Change and CMIP6 Climate Projections DOI Open Access
Tao Liu,

Zhenjiang Si,

Yan Liu

и другие.

Water, Год журнала: 2025, Номер 17(11), С. 1696 - 1696

Опубликована: Июнь 3, 2025

Climate and land use changes significantly affect runoff hydrological drought, presenting challenges for water resource management. This study focuses on the Naoli River Basin, utilizing SWAT model integrated with PLUS projections under CMIP6 SSP245 SSP585 scenarios to assess trends in drought characteristics from 2025 2100. The Standardized Runoff Index (SRI) run theory are applied analyze frequency duration. Key findings include following: (1) Under scenario (2061–2100), changes—specifically, a reduction cropland an increase forest cover—resulted 12.59% decrease compared baseline period (1970–2014), notable differences when considering climate-only scenarios. (2) exhibits significant rise duration, particularly during summer, whereas shows milder trends. (3) Based Taylor plot evaluation, ensemble average MMM-Best (r = 0.80, RMSE 26.15) has been identified as optimal prediction 2025–2100 period. Deviation analysis revealed that NorESM2-MM IPSL-CM6A-LR demonstrated greatest stability, while EC-Earth3 exhibited largest deviation highest uncertainty. (4) Land help mitigate by enhancing retention, although their effectiveness diminishes due dominant influence of climate factors, including increased temperature precipitation variability. And (5) SRI-3 mutation indicated point occurred July 2074 April 2060 (p < 0.05). trend fluctuations, number crossover points rising 40 following changes; conversely, remained stable only seven points, high-emission predominantly influenced early mutations. These illuminate interactive effects change, providing scientific foundation optimizing management developing effective mitigation strategies.

Язык: Английский

Процитировано

0
Assessing the Hydrological Response to Land Use Changes Linking SWAT and CA‐Markov Models DOI
Chongfeng Ren, Xiyun Deng, Hongbo Zhang

и другие.

Hydrological Processes, Год журнала: 2024, Номер 38(11)

Опубликована: Ноя. 1, 2024

ABSTRACT Land use change, as a major driving factor of watershed hydrological process, has significant influence on change. In addition, series models, important tools for simulating impacts, are widely employed in studying land However, when employing model to analyse the impacts changes, most previous studies focused evolution historical change and lacked reasonable predictions future use. Therefore, it is necessary extend such scenarios cope with possible variations basin. Given this, this paper making Wuwei section Shiyang River Basin study area, coupled SWAT (Soil Water Assessment Tool) simulation CA‐Markov (cellular automata‐Markov chain) prediction regional effects caused by changes. general directly uses system‐generated suitability atlas. contrast, applied logistic regression Multi‐criteria evaluation (MCE) methods construct atlas, thereby establishing Logistic‐CA‐Markov MCE‐CA‐Markov models. Based results, main results follows: (1) The area mainly grassland barren, accounting more than 80%. Additionally, forest changing at highest rate among all types. (2) terms percentage forest, predicted (Multi‐criteria evaluation‐cellular largest coverage (57.78%), whereas Logistic lowest (54.69%), indicating that former pays attention sustainable development ecological environment. (3) area's R 2 = 0.83, NSE 0.79, PBIAS −18.6%, validation 0.81, 0.76, −17.8% demonstrate favourable application model. (4) simulated runoff under scenarios, amount increasing would eventually rise water yield (WYLD) lateral (LATQ), subsurface (GWQ), reducing surface (SURQ). contributes better understanding impact resources balance, thus guiding management development.

Язык: Английский

Процитировано

1