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Article ; Online: Spatial distribution characteristics of soil moisture in different slopes on Loess Gully Region

Shan, Yulin / Xie, Jiancang / Lei, Na

Agronomy Journal. 2023 Mar., v. 115, no. 2 p.997-1005

2023

Abstract: The spatiotemporal changes of soil moistures under different rainfall events and slope positions in the loess hilly and gully area were assessed in this study using the positioning monitoring method. According to the three positions with different ... ...

Abstract	The spatiotemporal changes of soil moistures under different rainfall events and slope positions in the loess hilly and gully area were assessed in this study using the positioning monitoring method. According to the three positions with different distances from the top of the slope, set the three treatments of “top of the slope” (TS), “middle of the slope” (MS), and “bottom of the slope” (BS). The results demonstrated a certain degree of influence of rainfall and slope position on the vertical change of soil moisture at different soil depths in the study area. Before intense rainfall, soil moisture at different slope positions revealed a vertical distribution pattern and increased with increasing soil depth. In addition, soil moisture contents below the 60‐cm depth at different sites were significantly higher than those observed above the 60‐cm depth (p < .05), while soil moisture contents below the 120‐cm depth were extremely significantly higher than those observed above the 120‐cm depth (p < .01). On the other hand, no significant variation in soil moisture content was observed between different depths after intense rainfall events (p > .05). The above studies show that soil moisture in the loess hilly and gully area has a certain hysteresis effect. The hysteresis of soil flow allows us to effectively collect and use soil moisture, which can provide a theoretical basis for the intensive and economical use of soil moisture in this area.
Keywords	agronomy ; hysteresis ; loess ; rain ; soil depth ; soil water ; soil water content ; spatial distribution
Language	English
Dates of publication	2023-03
Size	p. 997-1005.
Publishing place	John Wiley & Sons, Ltd
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	410332-4
ISSN	1435-0645 ; 0002-1962
ISSN (online)	1435-0645
ISSN	0002-1962
DOI	10.1002/agj2.21226
Database	NAL-Catalogue (AGRICOLA)

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Article: Comparison of hybrid machine learning models to predict short-term meteorological drought in Guanzhong region, China.

Li, Shaoxuan / Xie, Jiancang / Yang, Xue / Jing, Xin

Water science and technology : a journal of the International Association on Water Pollution Research

2023 Volume 87, Issue 11, Page(s) 2756–2775

Abstract: Reliable drought prediction plays a significant role in drought management. Applying machine learning models in drought prediction is getting popular in recent years, but applying the stand-alone models to capture the feature information is not ... ...

Abstract	Reliable drought prediction plays a significant role in drought management. Applying machine learning models in drought prediction is getting popular in recent years, but applying the stand-alone models to capture the feature information is not sufficient enough, even though the general performance is acceptable. Therefore, the scholars tried the signal decomposition algorithm as a data pre-processing tool, and coupled it with the stand-alone model to build 'decomposition-prediction' model to improve the performance. Considering the limitations of using the single decomposition algorithm, an 'integration-prediction' model construction method is proposed in this study, which deeply combines the results of multiple decomposition algorithms. The model tested three meteorological stations in Guanzhong, Shaanxi Province, China, where the short-term meteorological drought is predicted from 1960 to 2019. The meteorological drought index selects the Standardized Precipitation Index on a 12-month time scale (SPI-12). Compared with stand-alone models and 'decomposition-prediction' models, the 'integration-prediction' models present higher prediction accuracy, smaller prediction error and better stability in the results. This new 'integration-prediction' model provides attractive value for drought risk management in arid regions.
MeSH term(s)	Algorithms ; China ; Droughts/statistics & numerical data ; Machine Learning ; Meteorology/methods
Language	English
Publishing date	2023-11-01
Publishing country	England
Document type	Journal Article
ZDB-ID	764273-8
ISSN	1996-9732 ; 0273-1223
ISSN (online)	1996-9732
ISSN	0273-1223
DOI	10.2166/wst.2023.162
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Article: Organic matter estimation of surface soil using successive projection algorithm

Liu, Jinbao / Xie, Jiancang / Meng, Tingting / Dong, Hao

Agronomy journal. 2022 July, v. 114, no. 4

2022

Abstract: Soil organic matter (SOM) affects circulation and stability of the soil C pool, and plays a key role in global C change and local ecological balance. Timely and accurate acquisition of large‐scale farmland soil organic carbon (SOC) information is of ... ...

Abstract	Soil organic matter (SOM) affects circulation and stability of the soil C pool, and plays a key role in global C change and local ecological balance. Timely and accurate acquisition of large‐scale farmland soil organic carbon (SOC) information is of great significance to the study of SOC reserves and distribution, farmland soil ecological security, and scientific crop management. In this study, we have evaluated the potentiality of visible‐near‐infrared spectroscopy to along with machine learning algorithms to predict SOM content. At present, soil characterization is mainly focused on hyperspectral data measured by remote‐sensing spectral index and spectrometer. This article aims to establish a statistical machine‐learning model to study the efficiency of spectral data to comprehensively evaluate SOM. The results show that after transforming the different forms of the original spectrum and combining with successive projection algorithm (SPA), the characteristic wavelength of organic matter at 350–2,500 nm can be effectively extracted. A combination of spectroscopy and chemometrics techniques can be used as a practical, rapid, low‐cost, and quantitative method to evaluate SOM. Based on SPA, partial least squares regression, support vector machine, random forest, a SOM prediction model with optimal characteristic wavelength is constructed. The best spectral processing method is continual removal combined with SPA, the validation coefficient of determination, root mean square error prediction, and ratio of performance deviation values are 0.82, 1.12, and 2.87, respectively.
Keywords	agricultural soils ; agronomy ; carbon sinks ; chemometrics ; crop management ; ecological balance ; models ; prediction ; quantitative analysis ; remote sensing ; soil ecology ; soil organic carbon ; spectral analysis ; spectrometers ; spectroscopy ; support vector machines ; wavelengths
Language	English
Dates of publication	2022-07
Size	p. 1944-1951.
Publishing place	John Wiley & Sons, Ltd
Document type	Article
Note	JOURNAL ARTICLE
ZDB-ID	410332-4
ISSN	1435-0645 ; 0002-1962
ISSN (online)	1435-0645
ISSN	0002-1962
DOI	10.1002/agj2.20934
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Study on hydrological response of runoff to land use change in the Jing River Basin, China.

Jin, Tao / Zhang, Xiao / Xie, Jiancang / Liang, Jichao / Wang, Tingting

Environmental science and pollution research international

2023 Volume 30, Issue 45, Page(s) 101075–101090

Abstract: Land use change greatly affects the runoff characteristics of the basin, which in turn affects the distribution of surface water and groundwater in the region. Quantitative analyses of the hydrological response of watershed runoff to land use change are ... ...

Abstract	Land use change greatly affects the runoff characteristics of the basin, which in turn affects the distribution of surface water and groundwater in the region. Quantitative analyses of the hydrological response of watershed runoff to land use change are conducive to the formulation of sustainable water resource strategies. In this paper, the impact of land use change on runoff characteristics in the Jing River Basin was evaluated using the SWAT model, the land use pattern of the Jing River Basin in 2040 was predicted using CA-Markov model, and five land use change scenarios were set up in combination with the trend of land use transfer, and the response relationship between land use change and runoff hydrological characteristics in the basin was studied. The results show that the land use changes reduce runoff and change the hydrological cycle process of the basin. The hydrological response of different land use types varies significantly, but only has a less impact on annual runoff. Farmland has a promoting effect on production flow; woodland and grassland are not conducive to the formation of surface runoff and will increase underground runoff and evapotranspiration in the basin. The increase in vegetation coverage after returning farmland to woodlands and grasslands has reduced surface runoff, increased the recharge of groundwater, and played a positive role in ecological restoration in the river basin. The research results are of great significance for understanding the hydrological consequences of land use change and the rational planning of land use patterns in river basins.
MeSH term(s)	Water Movements ; Rivers ; Groundwater ; Water Cycle ; China
Language	English
Publishing date	2023-08-30
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-023-29526-1
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Improving BP artificial neural network model to predict the SPI in arid regions

Li Shaoxuan / Xie Jiancang / Yang Xue / Xue Ruihua / Zhao Peiyuan

Hydrology Research, Vol 53, Iss 3, Pp 419-

a case study in Northern Shaanxi, China

2022 Volume 440

Abstract: Drought prediction plays an important guiding role in drought risk management. The standardized precipitation index (SPI) is a popular meteorological drought indicator to measure the degree of drought. The SPI time series is non-stationary, whereas the ... ...

Abstract	Drought prediction plays an important guiding role in drought risk management. The standardized precipitation index (SPI) is a popular meteorological drought indicator to measure the degree of drought. The SPI time series is non-stationary, whereas the conventional artificial neural network (ANN) model has limitations to predict non-stationary time series. To overcome this limitation, it is essential to investigate input data preprocessing to improve the ANN model. In this paper, a hybrid model coupled with singular spectrum analysis (SSA) and backpropagation ANN is proposed (SSA-BP-ANN). The advantage of this model is that the SSA of finite-length SPI sequences does not require the adoption of boundary extensions to suppress boundary effects, while the most predictable components of the SPI can be efficiently extracted and incorporated into the model. The proposed SSA-BP-ANN model is tested in case studies at three meteorological stations in Northern Shannxi Province, China. The results show that the SSA-BP-ANN model can produce more accurate predictions than the BP-ANN model. In addition, the performance improvement of SSA on the BP-ANN model is slightly better than wavelet decomposition and empirical mode decomposition. This new hybrid prediction model has great potential for promoting drought early warning in arid regions. HIGHLIGHTS Using SSA as data preprocessing tool for non-stationary time-series SPI could significantly improve the prediction performance of the BP-ANN model.; SSA can extract more effective information from noisy time series and bring it into the prediction model.; The SSA-BP-ANN model seems a promising method for drought early warning in arid regions.;
Keywords	bp artificial neural network ; data preprocessing ; decomposition hybrid model ; singular spectrum analysis ; River ; lake ; and water-supply engineering (General) ; TC401-506 ; Physical geography ; GB3-5030
Subject code	006
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	IWA Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Soil Moisture Characteristics of a Typical Slope in the Watershed of the Loess Plateau for Gully Land Consolidation Project

Shan Yulin / Xie Jiancang / Lei Na / Dong Qiguang

E3S Web of Conferences, Vol 199, p

2020 Volume 00006

Abstract: To clarify the characteristics of soil moisture in the slope of watershed of the gully land consolidation watershed, and to further guide the implementation of the gully land consolidation project and vegetation restoration in this area, this study ... ...

Abstract	To clarify the characteristics of soil moisture in the slope of watershed of the gully land consolidation watershed, and to further guide the implementation of the gully land consolidation project and vegetation restoration in this area, this study selected a typical slope of gully land consolidation watershed as the research object. The soil moisture of different slope positions was monitored and analyzed, and its temporal stability was analyzed. The results showed that: 1) The average soil moisture of different slope positions increased with the increase of soil depth, and the variability showed an increasing-decreasing-increasing trend, and the variability was the smallest at about 70 cm from the surface with weak variability, and the soil moisture variability in other layers is moderate. 2) On the slope, the distribution characteristics of soil moisture content were as follows: upslope <middleslope <downslope position. The differences of soil moisture between the upslope and downslope, midslope and downslope were significant. 3) The temporal stability analysis of the soil moisture showed that there is high stability between August and September of the soil moisture of the 0-50 cm and the correlation is extremely significant, while the soil moisture content of 50-100 cm range has a significant correlation between May and June. 4) The time stability of soil moisture in the middle slope position is the highest, followed by the upslope position, and the time stability in the downslope position is the lowest. 5) The best time stability point in the study area is the M3 point of the middle slope.<br />
Keywords	Environmental sciences ; GE1-350
Subject code	550
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Application of edge computing and GIS in ecological water requirement prediction and optimal allocation of water resources in irrigation area.

Li, Yang / Xie, Jiancang / Jiang, Rengui / Yan, Dongfei

PloS one

2021 Volume 16, Issue 7, Page(s) e0254547

Abstract: The purposes are to use water resources efficiently and ensure the sustainable development of social water resources. The edge computing technology and GIS (Geographic Information Science) image data are combined from the perspective of sustainable ... ...

Abstract	The purposes are to use water resources efficiently and ensure the sustainable development of social water resources. The edge computing technology and GIS (Geographic Information Science) image data are combined from the perspective of sustainable development. A prediction model for the water resources in the irrigation area is constructed. With the goal of maximizing comprehensive benefits, the optimal allocation of water quality and quantity of water resources is determined. Finally, the actual effect of the model is verified through specific instance data in a province. Results demonstrate that the proposed irrigation area ecological prediction model based on edge computing and GIS images can provide better performance than other state of the art models on water resources prediction. Specifically, the accuracy can remain above 90%. The proposed model for ecological water demand prediction in the irrigation area and optimal allocation of water resources is based on the principle of quality water supply. The optimal allocation of water resources reveals the sustainable development ideas and the requirements of the optimal allocation model, which is very reasonable. The improvement of the system is effective and feasible, and the optimal allocation results are reasonable. This allocation model aims at the water quality and quantity conditions, water conservancy project conditions, and specific water demand requirements in the study area. The calculation results have great practicability and a strong guiding significance for the sustainable utilization and management of the irrigation area.
MeSH term(s)	Geographic Information Systems ; Models, Theoretical ; Resource Allocation ; Water Quality ; Water Resources ; Water Supply
Language	English
Publishing date	2021-07-29
Publishing country	United States
Document type	Journal Article
ISSN	1932-6203
ISSN (online)	1932-6203
DOI	10.1371/journal.pone.0254547
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Urban rainstorm and waterlogging scenario simulation based on SWMM under changing environment.

Wang, Simin / Jiang, Rengui / Yang, Mingxiang / Xie, Jiancang / Wang, Yinping / Li, Wen

Environmental science and pollution research international

2023 Volume 30, Issue 59, Page(s) 123351–123367

Abstract: Urban rainstorm and waterlogging occurred more frequently in recent years, causing huge economic losses and serious social harms. Accurate rainstorm and waterlogging simulation is of significant value for disaster prevention and mitigation. This paper ... ...

Abstract	Urban rainstorm and waterlogging occurred more frequently in recent years, causing huge economic losses and serious social harms. Accurate rainstorm and waterlogging simulation is of significant value for disaster prevention and mitigation. This paper proposed a numerical model for urban rainstorm and waterlogging based on the Storm Water Management Model (SWMM) and Geographic Information System (GIS), and the model was applied in Lianhu district of Xi'an city of China. Furthermore, the effects of rainfall characteristics, pipe network implementation level and urbanization level on waterlogging were explored from the perspectives of spatial distribution of waterlogging points, drainage capacity of pipe network and surface runoff generation and confluence. The results show that: (1) with the increase of rainfall recurrence period, the peak of total water accumulating volume, the average decline rate of water accumulating volume and the number of waterlogging nodes increase; (2) optimizing the pipe diameter can shorten the average overload time of the pipe network from the entire pipe network, but for a single pipe, optimizing the pipe diameter may lead to overloading of unoptimized downstream pipeline; (3) the lower the imperviousness, the less the number of waterlogging nodes and average time of water accumulating, and (4) the west, northwest and southwest areas are relatively affected by the imperviousness, only improving the underlying surface conditions has limited influence on waterlogging in the study area. This study can provide reference for urban waterlogging prevention and reduction and pipe network reconstruction.
MeSH term(s)	Water ; Rain ; Cities ; Urbanization ; Computer Simulation ; China ; Water Movements
Chemical Substances	Water (059QF0KO0R)
Language	English
Publishing date	2023-11-20
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-023-31027-0
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Multi-Stakeholder Coordinated Operation of Reservoir Considering Irrigation and Ecology

Wei, Na / He, Shuni / Lu, Kunming / Xie, Jiancang / Peng, Yuxin

Water. 2022 June 20, v. 14, no. 12

2022

Abstract: In traditional ecological operation, it is difficult to coordinate the balance among the interests of stakeholders, and stakeholders find it difficult to accept the operation scheme. To address these problems, this study proposed a method of multi- ... ...

Abstract	In traditional ecological operation, it is difficult to coordinate the balance among the interests of stakeholders, and stakeholders find it difficult to accept the operation scheme. To address these problems, this study proposed a method of multi-stakeholder coordinated operation of reservoir (MSCOR). By comprehensively considering the interest demands of stakeholders, the multi-stakeholder interval coordination mechanism (MSICM) for reservoir operation was established. The multi-stakeholder coordinated operation model (MSCOM) was constructed. The multi-stakeholder solution algorithm based on the MSICM, the non-dominated sorting genetic algorithm II, and the approach of successive elimination of alternative schemes based on the k-order and p-degree of efficiency (MSIC-NSGA-II-SEABODE) were applied to solve the MSCOR problem. The coordination mechanism, model construction, multi-stakeholder optimization, and multi-attribute decision making were coupled to establish a multi-stakeholder coordinated operation method, comprising the whole process of mechanism–modeling–optimization–decision making. Taking Baojixia Reservoir as an example, the performance of the coordinated operation method was compared with that of the traditional optimal operation method, and the relationship between the irrigation benefits and ecological benefits of the reservoir was explored. The results show that: (1) On the premise of the same satisfaction degree of basic irrigation interests, the ecological AAPFD value of coordinated operation decreased by 0.184, 0.469, and 0.886 in a normal year, dry year, and extraordinary dry year, respectively. The effect of coordinated operation on balancing various stakeholders was more obvious with the decrease in water inflow. (2) The MSICM ensures that the multi-stakeholder operation of the reservoir conforms to the principles of comprehensiveness, balance, and sustainability. (3) The coordination scheme obtained by the MSIC-NSGA-II-SEABODE algorithm is more reasonable and feasible. The research results provide a new idea and method to address the MSCOR problem.
Keywords	algorithms ; ecology ; irrigation ; models ; stakeholders ; water
Language	English
Dates of publication	2022-0620
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2521238-2
ISSN	2073-4441
ISSN	2073-4441
DOI	10.3390/w14121970
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Article: Comparison of the Calibrated Objective Functions for Low Flow Simulation in a Semi-Arid Catchment

Yang, Xue / Yu, Chengxi / Li, Xiaoli / Luo, Jungang / Xie, Jiancang / Zhou, Bin

Water. 2022 Aug. 23, v. 14, no. 17

2022

Abstract: Low flow simulation by hydrological models is a common solution in water research and application. However, knowledge about the influence of the objective functions is limited in relatively arid regions. This study aims to increase insight into the ... ...

Abstract	Low flow simulation by hydrological models is a common solution in water research and application. However, knowledge about the influence of the objective functions is limited in relatively arid regions. This study aims to increase insight into the difference between the calibrated objective functions by evaluating eight objectives in three different classes (single objectives: KGE(log(Q)) and KGE(1/Q); multi objectives: KGE(Q)+KGE(log(Q)), KGE(Q)+KGE(1/Q), KGE(Qsort)+KGE(log(Qsort)) and KGE(Qsort)+KGE(1/Qsort); Split objectives: split KGE(Q) and split (KGE(Q)+KGE(1/Q))) in Bahe, a semi-arid basin in China. The calibrated model is Xin An Jiang, and the evaluation is repeated under varied climates. The results show a clear difference between objective functions for low flows, and the mean of KGE and logarithmic transformed-based KGE in time series (KGE(Q)+KGE(log(Q))) presents the best compromise between the estimation for low flows and general simulation. In addition, the applications of the inverse transformed-based KGE (KGE(1/Q)) and the Flow Duration Curve-based series (Qsort) in objectives are not suggested.
Keywords	basins ; models ; time series analysis ; water ; watersheds ; China
Language	English
Dates of publication	2022-0823
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2521238-2
ISSN	2073-4441
ISSN	2073-4441
DOI	10.3390/w14172591
Database	NAL-Catalogue (AGRICOLA)

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