Water Conservation Management Research Articles

Interoperability Structure of Smart Water Conservancy Based on Internet of Things

Massive smart water conservancy object (WCO) need to be connected for real-time monitoring and control, which produces massive data. Unfortunately, heterogeneous data structures and semantics lead to low interoperability between WCO and management systems. To address this challenge, we propose a novel interoperability structure for a smart water conservancy system based on the Internet of Things (IoT), and the key design includes a smart WCO terminal, interoperability network, special interoperability protocol, WCO information model, and cloud platform. Universal terminal and network are the base of interoperability hardware, and special interoperability protocol and information model for interconnection of WCO are designed for smart water conservancy management system. WCO can be connected to a water conservancy Big Data processing cloud platform for interoperability applications. The application results demonstrate that our proposed WCO’s interoperability structure has obvious advantages than the general IoT at WCO interoperability. The interoperability protocol is reliable, the information model can ease interoperability and security, and the semantic dictionary is very rich and covers all semantic services of WCO.

Oasis agriculture revitalization and carbon sequestration for climate-resilient communities

Revitalizing oasis agriculture, an age-old human endeavor, has historically played a crucial role in sustaining biodiversity and ecosystems in arid regions. Nevertheless, this enduring practice now faces contemporary challenges, including global warming, water scarcity, soil erosion, and negative human activities associated with urbanization. This comprehensive review delves into diverse literature across disciplines, covering topics such as water conservation, biodiversity restoration, agroforestry, and Oasis Holistic Management, with the aim of addressing these challenges. The analysis strongly advocates for the urgent adoption of sustainable practices, including precision irrigation, polyculture, organic farming, agroforestry, and community-based initiatives, to ensure the survival of oasis agriculture and foster long-term environmental and social responsibility. The study underscores the imperative need for the development of “comprehensive, flexible, and forward-looking management strategies” to guide the sustainable revival of oasis farming. By consolidating information from various studies, it lays the groundwork for informed decision-making and policy formulation. As part of revitalizing the oasis agricultural ecosystem and addressing the global climate crisis, we propose a noninvasive tool for assessing carbon sequestration effectiveness based on tree specifications. Recognizing the pivotal role of vegetation in mitigating the ecological impact and facing global crises, we explored parameters influencing plant carbon sequestration, including biomass production, growth rate, longevity, root structure, leaf structure, and average temperature tolerance.

Spatiotemporal variations and driving forces analysis of ecosystem water conservation in coastal areas of China

China's coastal zones, characterized by their ecological vulnerability and significant economic growth, demand effective water conservation management. Such management is pivotal not only for safeguarding water resources but also for ensuring ecological stability and promoting sustainable socio-economic development. In this study, based on the water balance model, the spatiotemporal dynamics of water conservation in the ecosystems of China's coastal areas from 2001 to 2021 were characterized by three dimensions: overall, zonal, and raster. The results show that: ① the distribution pattern of ecosystem water conservation in China's coastal areas from 2001 to 2021 is “high in the south and low in the north”, with a total amount of 117.726 billion m3/a, with the Pearl River Delta and Southwest Coastal Areas as the main high-value areas, and the overall water conservation and its capacity show a “ decreasing-rising-decreasing” pattern. The overall water conservation and its capacity show a fluctuating trend of “falling-rising-falling”. Additionally, water conservation capacity varied significantly among different vegetation types and across marine-terrestrial gradients, with the highest capacity recorded in evergreen coniferous forests and areas situated 140 km from the coastline. ②From 2001 to 2021, the water conservation capacity of China's coastal ecosystems exhibited significant temporal patterns and spatial differentiation along the marine-terrestrial gradient. The research suggests that these patterns of change are intricately linked with the stages of regional development strategies and ecological construction within these coastal zones. ③In China's coastal areas, a mere 11.63 % of the rasters showed significant changes in water conservation, dominated by highly significant and significant increases, mainly in the Southeast Coastal Area, the Pearl River Delta and Southwest Coastal Areas, and the Bohai Bay Coastal Area. This included areas such as the Yangtze River Delta silty coastal plain area, the Bohai Bay silty coastal plain area, the sandy silt coastal hilly terrace area of western Guangdong and Guinan, and other China coastal protection forest system construction projects. ④ Water conservation function within China's coastal ecosystems demonstrates a profound interconnection with both natural and socio-economic determinants. Natural elements such as elevation, slope, and precipitation positively correlate with water conservation metrics. Conversely, evapotranspiration and temperature are inversely related to conservation outcomes. In terms of social factors, water conservation has a significant negative correlation with GDP density and population density, with the highest negative correlation with the GDP2 density.

Improving environmental sustainability in Hospitality and Tourism: the key strategies

The Hotel and Tourism Industry has experienced profound changes in recent years and has been one of the sectors most affected by COVID-19. With the return of tourist activity, many companies went back to their normal routines, but the sector has changed dramatically. Tourists have new expectations, needs, and priorities, and sustainability is the one that is most emphasised, particularly when it comes to excessive water consumption, misuse of energy, and poorly utilised waste. The industry has a unique opportunity to recognise the importance of sustainability and define strategies to guarantee customer satisfaction, in symbiosis with environmental concerns and the preservation of the planet for future generations.
 This study aims to characterise the good strategies and practices for environmental sustainability in Hospitality and Tourism, namely in terms of energy, water, and waste. The purpose is to present the procedures and processes that lead to greater sustainability performance and to accomplish this a focus group was organised, with 2 hospitality stakeholders, 2 environmental groups stakeholders, and 2 VET (Vocational Education and Training) stakeholders, to discuss and identify the main factors directly related to the excessive use of water and energy and the poor treatment of waste and ranked by the participants. The meeting was done face-to-face, lasted 3 hours, and was based on their expertise and good practices. The Hospitality and Tourism Industry is conscious of its ecological footprint, namely in terms of energy efficiency, water conservation, and waste management. Considering energy, some examples were given such as electricity-saving practices, using LED bulbs, occupancy sensors, and automatic light controls. With respect to water, it is mandatory to install low-slip faucets and shower heads, reduce laundry and cleaning, and recycle water that can be reused for irrigation or toilet flushing, reducing the use of fresh water.
 The research presented contributions to the growing Knowledge on this topic, and the findings propose a straightforward guide for managers in the Hospitality and Tourism industry. Further research is endorsed to reinforce the value of environmental sustainability and to involve a greater range of stakeholders with different profiles in the sector.

Soil Erosion Mapping and Severity Analysis Based on RUSLE Model on Welmel Catchments of Ganale-Dewa River Basin Bale Lowland South Eastern Ethiopia

Soil erosion is a kind of environmental deterioration through decreased agricultural output, increased floods, and habitat loss, soil degradation has an impact on many people's livelihoods, either directly or indirectly. In many developing tropical nations throughout the world where soil and water conservation (SWC) planning and management initiatives are either ineffective or nonexistent, soil erosion is on the rise. Because there isn't precise scientific research that gives information, identifying locations that are susceptible to soil erosion is also insufficient. The Oromia area of Ethiopia, where the majority of livelihoods mainly rely upon agriculture, is home to the little-recognized watershed of Welmel. A thorough understanding of the spatial variability across various climatic zones, land uses, and soil erosion is crucial for the planning of successful SWC management approaches. Through the use of a geographic information system (GIS), remote sensing (RS), and numerous characteristics such as land uses, and climate, this study has attempted to identify prospective places in need of SWC techniques by undertaking a spatial modeling of soil erosion within the Welmel watershed's Genale Dawa basin. The revised universal soil loss equation (RUSLE), which was previously modified for Ethiopian circumstances, was utilized to predict potential soil loss after laboratory study and processing multiple input datasets in ArcGIS to get the requisite six RUSLE model input parameters. It made use of data from a digital elevation model (DEM) on interpolated rainfall erosivity (R), soil erodibility (K), plant cover (C), topography (LS), and conservation practices (P) from satellite pictures. The study demonstrates that the RUSLE using GIS taking into account various climates and land management practices provides a great advantage in that it enables one to spatially analyze multilayer data to identify areas that are susceptible to soil erosion and subsequently develop the be

Response of soil erosion to vegetation and terrace changes in a small watershed on the Loess Plateau over the past 85 years

Land use on the Chinese Loess Plateau has undergone dramatic changes over the past few decades. The implementation of a series of soil and water conservation measures has significantly altered the soil erosion, transportation, and deposition processes on the Loess Plateau. To effectively address and mitigate soil erosion, it is crucial to accurately quantify the soil loss rate and analyze the contributions of soil and water conservation measures over the past several decades. In this study, the Zhifanggou watershed, located in the hilly area of the Chinese Loess Plateau, is utilized as an illustrative example. Using historical data, remote sensing imagery, and on-site data of soil, vegetation, and soil conservation measures, we assessed the soil loss rates from 1938 to 2022 based on long-term land use changes, utilizing the Chinese Soil Loss Equation (CSLE) model. Furthermore, we employed a quantitative evaluation to assess the impacts of vegetation change and terrace construction on soil erosion. The findings of our study reveal significant transformations in land use. Farmland experienced an initial increase followed by a subsequent decline, while the opposite pattern was observed for forest land. The simulated soil loss rate for the entire watershed exhibited an upward trend, rising from 34.86 t·ha−1·yr−1 in 1938 to 104.11 t·ha−1·yr−1 in 1958, before declining to 56.98 t·ha−1·yr−1 in 1999 and reaching 5.87 t·ha−1·yr−1 in 2022. Attribution analysis showed that vegetation change exerted a dominant influence on recent soil erosion dynamics, accounting for 86.10 % of the total contribution in 2022, while terraces contributed 13.90 %. These findings clarify long-term soil erosion mechanisms and provide guidance for watershed soil and water conservation management.

Water Conservation Implications Based on Tempo-Spatial Characteristics of Water Footprint in the Water-Receiving Areas of the South-to-North Water Diversion Project, China

In order to continuously promote water conservation efforts to alleviate the pressure of water diversion, water footprint (WF) is used as an effective tool to measure water utilization in the water-receiving areas of the Middle Route and Eastern Route of the South-to-North Water Diversion Project (SNWDP). The tempo-spatial variations of WF and spatial equilibrium of water footprint intensity (WFI) in the study area are quantified using the Mann–Kandle trend test, Sen’s slope, and Dagum Gini coefficient decomposition method for the years of 2005–2020. The results show that WF has a significant decreasing trend (Sen’s slop < 0, significant level < 0.05) in 17 cities in the study area, whereas WF shows a significant increasing trend (Sen’s slop > 0, significant level < 0.05) in 10 cities. Cities in the water-receiving areas are categorized into three types based on the contribution of the water utilization sector to changes in WF as follows: agriculture water-dominated city (AD), domestic and ecological water-dominated city (DED), and virtual water trade-dominated city (VWTD). Accordingly, targeted water conservation recommendations are made for these three kinds of cities, and it is suggested that AD, DED, and VWTD cities need to focus on advanced irrigation technologies, water reuse, and trade restructuring, respectively. The overall Gini coefficient of WFI fluctuates between 0.219 and 0.267 in the water-receiving areas of the Middle Route, which is dominated by the differences in city level. However, it fluctuates between 0.412 and 0.278 in the water-receiving areas of the Eastern Route, which is dominated by the differences in provincial level. Accordingly, water conservation hotspots are determined at the city level in the Middle Route and at the provincial level in the Eastern Route with different water management policies. These results provide a scientific support for water conservation management in the water-receiving areas of the SNWDP, as well as a methodological reference for the tempo-spatial characteristics of WF and their implications for water conservation.

Effect of no‐tillage on soil redistribution estimated by beryllium‐7, soil moisture, and carbon fractions loss in central Benin

AbstractSoil erosion has become one of the most common environmental problems and threatens food security. This study assessed the short‐term effect of tillage and mulch on soil redistribution using the beryllium‐7 method, soil moisture distribution, and soil organic carbon loss through soil erosion in typical agroecological conditions of Benin. The experiment was conducted on acrisols (at Dan) and ferralsols (at Za‐zounmè) in central Benin. Three tillage practices slope ridging (SR), contour ridging (CR), and no‐tillage (NT), and three mulch doses 0 (0 M), 3 (3 M), and 7 t ha−1 (7 M) on soil erosion under maize were investigated. The results showed a tillage and mulch interaction significantly (p < 0.05) influencing the soil redistribution, the loss of total carbon, the carbon of the particulate organic matter (C_POM), and the carbon content of the fine organic matter (C_MOM). High soil erosion was observed under SR0M (−10.19 t ha−1) at Dan and under NT0M (−7.36 t ha−1) at Za‐zounmè. NT7M (0.80 t ha−1), SR7M (0.69 t ha−1), CR3M (2.07 t ha−1), and CR7M (4.05 t ha−1) showed deposition at Dan, while SR7M (0.23 t ha−1), NT7M (1.69 t ha−1), and CR7M (3.93 t ha−1) showed deposition at Za‐zounmè. C_MOM was lost on both sites. Mulch increases soil moisture for all three tillage treatments, and this effect is well pronounced especially if the amount of mulch is great. This study revealed useful information to be taken into consideration when developing soil and water conservation management strategies in Benin.

Assessment of Morphometric and Hypsometric Analysis of the Ruste Basin Using Remote Sensing and Geographical Information System Techniques

A basin’s characteristics and features need to be comprehended completely by conducting morphometric analysis, such as evaluating the basin’s size, form, and surface features, to estimate floods and erosion rates properly. The main objective of this investigation is to evaluate morphometric measures and hypsometric analysis of Erbil’s Ruste Basin employing remote sensing and geographical information system methods. To investigate the significant tributaries of the selected area, the hydrology tool within the Spatial Analysis Tools of ArcGIS, version 10.7, was utilized to define the basin boundaries, map the drainage networks, and obtain topographic data. The findings of the linear morphometric parameters revealed that the logarithmic relationship between stream orders and stream numbers was negative. The difference in stream order and number seen in the watershed is due to topography and bedrock influence. The results also showed a negative correlation between stream length and stream order, and a coefficient of determination of 0.972, which indicates that the basin is made of low-permeability formation and subsoil materials. Considering the areal morphometric parameters, the circularity ratio, elongation ratio, and form factor are 0.594, 0.853 and 0.572, respectively, suggested a semi-circular shape. A drainage density value of 2.259 km-1 showed that the Ruste Basin is a basin with steeply to very steeply sloping hilly terrain with varying plant covering. Furthermore, the Ruste Basin has high relief and slope with a relief ratio of 0.151 and basin relief of 2.576 km, both of which imply that it has a steep slope with high erosive force, limited infiltration, and a high runoff rate. Ruste Basin’s ruggedness number was 5.819, indicating that it has badlands topography. The average hypsometric integral was 0.467, denoting a mature basin featuring S-shaped hypsometric curves. In conclusion, the results showed that analysis of morphometric parameters and hypsometric integral and curve provides us with a notion to basin characterization and guidance to making appropriate decisions to establish effective actions to sustainable water and soil conservation and natural resources management through applying water harvesting methods, check dams, and bench terraces.

A NATIONAL POLICY ON INDONESIA’S INTEGRATED WATER RESOURCE CONSERVATION MANAGEMENT

Changes in global precipitation would affect Indonesia to improve its water resource management system. As most watersheds are in a critical stage nowadays, it is urgent to develop a new plan and policy on water conservation that integrates the most important parameters reasonably. It has the purpose of ensuring that water resources are available for all activities and purposes within the area, especially for future periods. Integrated Water Resources Conservation Management is one of the promising approaches that is being mainly developed, particularly through the participation of all stakeholders. This participation brings equal responsibility to protect and sustainably manage the water resources, which might differ from one area to another in Indonesia. This study shows that it is important to bring up local wisdom practices on water conservation management. These could help overcome the problems related to water management in different locations in Indonesia and encourage all the stakeholders to take responsibility. All the inputs from the stakeholders are very helpful to identify the strategy at the national level, and thus it would minimize the misinterpretation between local and national levels in terms of regulation or policy. Furthermore, the approach strategies provided in this paper could improve the water national policy in Indonesia and minimize the negative potential impacts due to the lack of precipitation in the upcoming years.

Assessment of long-term water demand for the Mgeni system using Water Evaluation and Planning (WEAP) model considering demographics and extended dry climate periods

The Mgeni System is recognised as the main source of water supply for the Durban and Pietermaritzburg region in South Africa. This area is regarded as the primary economic hub of KwaZulu-Natal Province, and this brings about a high level of demographic pressure, with potential water supply problems in the future. This study investigates the water resource situation in the Mgeni System and evaluates future supply and demand accounting based on the (Water Evaluation and Planning) WEAP software. WEAP was used to analyse the study area for the period 2009–2050 to assess the impacts of various scenarios on future water supply shortfalls. Four scenarios were used, which take into account changing population growth rates and extended dry climates. The study found that the catchment is relatively sensitive to changes in population growth and extended dry climates, and this will alter the water availability significantly, causing a water supply deficit. In response to the projected future water demands, one technique to overcome the unmet demand is by introducing water conservation and demand management (WC/DM) strategies to reduce the water losses and shortfall encountered. By implementing adequate measures, water losses can be reduced, preventing water scarcity and giving decision makers time to provide further solutions to water supply problems.

Analyzing the Drivers of Agricultural Irrigation Water Demand in Water-Scarce Areas: A Comparative Study of Two Regions with Different Levels of Irrigated Agricultural Development

Both the demand for agricultural irrigation and the level of water-saving technology in water-scarce regions have met food demand with technological progress and economic growth. There are differences in irrigation water demand drivers in regions with different levels of irrigated agricultural development. However, the relationship between related drivers in response to regional irrigation water demand is not fully understood. This study quantified the driving influence of six indicators, including technological progress, planting structure, water conservation management, economic development, planting scale, and consumption intensity, on agricultural irrigation water demand in JC (Jinchang) and WW (Wuwei), two cities in the Shiyang River Basin, from 2011 to 2020. The results shows that economic development is the main driver of the increase in irrigation water demand, with 29% and 43% driving contributions in JC and WW, respectively. Consumption intensity contributes the most to the decrease in irrigation water demand, with 31% and 23% of driving contribution in JC and WW, respectively. Cropping size has a greater positive drive on irrigation water demand in non-agricultural areas relative to agricultural areas. Planting structure has a more pronounced negative drive on irrigation water demand in agricultural areas relative to non-agricultural areas. In particular, relative to irrigated areas, the proportion of water-saving irrigated areas to the sown areas has a greater impact on changes in irrigation water demand, with a significant rebound effect when it exceeds 80%, so that blindly expanding water-saving irrigated areas will drive an increase in irrigation water demand. The results of this study can provide useful suggestions for agricultural water management in water-scarce areas with different levels of water-saving irrigation development, and realize the sustainable development of agriculture in water-scarce areas.

Earthworms reduce nutrient loss from loess soil slopes under simulated rain

Burrowing, feeding, and casting activities of earthworms affect nutrient cycling and hydrological processes that take place in sloping lands. However, the effects exerted by earthworms on nutrient losses associated with runoff and sediment during rain remains unclear, particularly in the Loess Plateau, where soil erosion and nutrient loss have led to severe environmental issues. In this study, our purpose was to quantify the effects exerted by the anecic earthworm species, Metaphire guillelmi, on nutrient loss via runoff and erosion in loess soil slopes. Six artificial grass slopes (mesocosms, 15°), comprising three with earthworms (100 individuals m−2) for 28 days, and three without earthworms, were subjected to simulated rain (90 mm h−1) for 60 min. Our results indicated that earthworms had (i) increased the content of NO3–-N from 8.1 to 151.8 mg kg−1 and OP from 51.0 to 71.8 mg kg−1, but decreased the content of OC from 6.6 to 5.2 g kg−1, TN from 0.76 to 0.62 g kg−1, TP from 0.73 to 0.68 g kg−1 and NH4+-N from 3.7 to 2.4 mg kg−1 at surface 2 cm soil; (ii) increased water-stable macroaggregates from 45.1 to 48.3% and soil saturated water conductivity from 0.07 to 0.28 mm min−1, and (iii) greatly reduced the cumulative runoff from 65.7 to 15.3 mm and sediment occurance from 0.44 to 0.16 kg m−2 on slopes. Consequently, earthworm activities decreased runoff-associated nutrients (decreased NH4+-N from 19.5 to 2.8 mg m−2, NO3–-N from 108.2 to 26.2 mg m−2, and SP from 2.2 to 0.1 mg m−2) loss by 75.8–96.2%, and sediment-bound nutrient (decreased OC from 2.4 to 0.8 g m−2, TN from 0.3 to 0.1 g m−2, TP from 0.3 to 0.1 g m−2) loss by 63.8–68.5%. Hierarchical partitioning and variation partitioning analyses showed that runoff and sediment yields and their interaction with the soil physical characteristics were the dominant pathways via which earthworms regulated nutrient loss during rainfall events. This study highlights the importance of soil fauna in regulating erosion and nutrient loss in the Loess Plateau, and indicates that these factors should be considered in future water and soil conservation management.

Do Environmentally Responsible Practices in Accommodation Establishments Matter?

Environmentally responsible practices (ERPs) in accommodation establishments are identified as the implementation and or execution of certain principles in such a way that it lowers the production of waste, preserve energy, and encourages environmental health. The main purpose of this study is to identify whether or not environmentally responsible practices in accommodation establishments matters. A descriptive survey design was used. The study utilised a quantitative research approach with questionnaires as a data collection instrument. The data were analysed using Statistic Package for the Social Science (SPSS), software version 23, to enable the generation of descriptive and bivariate statistics for the interpretation of the results. The following themes emerged from the study; namely, guests’ preferences of ERPs, influence of return patronage and the effect knowledge have on ERPs. Most participants were not bothered by the re-use of linen and towels, yet establishments still need to invest more time in educating the guests in this regard. Guests indicated that they would return to an accommodation establishment that practices linen reuse programs, water conservation and waste management procedures. This study provides insights on ways guests view ERPs and their preferences. It provides accommodation establishments a scope on what their guests are comfortable in participating on.

Incorporating causal modeling into data envelopment analysis for performance evaluation

AbstractThe risk factors in banking have been considered an undesirable carryover variable by the literature. Methodologically, we consider the risk factor using loan loss reserves as a desirable carryover input with dynamic characteristics, which provides a new framework in the dynamic network Data Envelopment Analysis (DEA) modelling. We substantiate our formulation and results using novel techniques for causal modelling to ensure that our dynamic network model admits a causal interpretation. Finally, we empirically examine the impact of risk from various economic sectors on efficiency. Our results show that the inefficiencies were volatile in Chinese banking over the period 2013–2020, and we further find that the state-owned banks experienced the highest levels of inefficiency and volatility. The findings report that credit risk derived from the agricultural sector and the Water Conservancy, Environment and Public Facilities management sector decreases bank efficiency, while credit risk derived from the wholesale and retail sector improves bank efficiency. The results of our innovative causal modelling show that our pioneering modelling on the role of loan loss reserves is valid. In addition, from an empirical perspective, our second-stage analysis regarding the impact of risk derived from different economic sectors on bank efficiency can be applied to other banking systems worldwide because of our successful validation from causal modelling. Our attempt to incorporate causal inference into DEA can be generalized to future studies of using DEA for performance evaluation.

Opinions on Irrigation Water Management Tools and Alternative Irrigation Sources by Farmers from the Delta Region of Mississippi

AbstractWater withdrawals for irrigation at an unsustainable rate resulted in a decline in the groundwater levels in the Mississippi River Valley Alluvial Aquifer (MRVAA) in the central southern USA. This drawdown of groundwater threatens agricultural production in the Mississippi Delta, an important agricultural region in the state of Mississippi, USA. Effective and efficient use of available resources is important to sustain and enhance agricultural productivity in this area. This study assessed the opinions of farmers on water conservation management practices and technologies that improve irrigation management and save water in the Mississippi Delta region based on data collected in an irrigation survey conducted in 2012. Most landowners believed that water conservation practices were effective in reducing irrigation water use without reducing maximum crop yields and have a positive return on investment. Land forming, tailwater recovery system, on‐farm storage, instream weirs to pond surface water, computerized hole selection for furrow irrigation, short irrigation runs, and irrigation scheduling were considered efficient water conservation technologies by landowners. Perceptions about use of different practices also depend upon the crops produced by the respondents. About 20 to 24% and 14.9 to 86% of survey respondents thought that on‐farm storage and center pivot, respectively, were inefficient water conservation practices for irrigating crops in the Mississippi Delta. The adoption of these practices may be increased if the landowners know the economic returns of implementing them.

Spatiotemporal Variability of Soil Water Content and Its Influencing Factors on a Microscale Slope

In order to enhance food security and promote sustainable agricultural development, there is extensive utilization of sloping land in China. However, soil and water loss are severe in sloping lands. Understanding the spatiotemporal variability of soil water content (θ) is therefore important for determining suitable soil and water conservation strategies. Nevertheless, there exists a dearth of current research that focuses on the spatiotemporal variability of θ in microscale sloping lands. This study used statistical and temporal stability (TS) analyses to explore the characteristics of the spatiotemporal variability of θ on slopes. Furthermore, this study aimed to quantify the impacts of soil depth, slope position, air temperature, and hydrological conditions on the TS of θ. The average θ increases with depth, and it follows a logarithmic increase above 1.3 m and a linear increase below 1.3 m. The spatial variability of θ is higher in shallow soils and wet seasons compared with deep soils and dry seasons. The temporal stability of θ is higher on the upper and lower slopes compared with the middle slope. Day-MRD is more effective at capturing the temporal stability of θ than all-MRD. The diurnal variation of the TS of θ on slopes is primarily influenced by soil depth, slope position, air temperature, and hydrological conditions. We found that soil depth had a greater impact on the TS of θ than the slope position and that air temperature has a greater influence than the hydrological conditions. This study accurately describes the spatiotemporal variability of θ at the microscale slope, which helps solve the problems of soil and water conservation and water resource management on slopes.

Ecological security evaluation for Changtan Reservoir in Taizhou City, East China, based on the DPSIR model

Reservoirs supply drinking water to many major cities in China, and their ecological security ensures the economic development, drinking water safety and ecological balance of cities. Based on Driver-Pressure-State-Impact-Response (DPSIR) model, this study evaluated the ecological security of Changtan Reservoir in Taizhou City, East China. The ecological security evaluation system was constructed, including 17 s-level evaluation factors, which included 36 third-level evaluation indices. By combining the expert scoring method with the entropy method, the weights of each index can be calculated effectively. Finally, the ecological security index (ESI) was obtained according to the DPSIR model. The results show that the ESI of the Changtan Reservoir is 75.78, which suggests that the Changtan Reservoir is in a relatively safe state. However, the soil erosion intensity index is in a poor state in most areas. Therefore, soil and water conservation management should be strengthened. The aquatic biodiversity in the watershed of the reservoir is also poor, especially the benthos with a single species. Hence, the ecological conservation of the reservoir watershed should also be enhanced. The study also proposes that centralized treatment of urban domestic sewages and rural domestic sewages around the reservoir should be greatly improved by enhancing the sewage treatment facilities and pipelines.

Assessment of the Regional Vulnerability to Natural Disasters in China Based on DEA Model

China is a country highly vulnerable to natural disasters, resulting in significant losses in terms of human casualties, injuries, property damage, economic losses, infrastructure destruction, and so on each year. We propose a conceptual model based on the Data Envelopment Analysis model to evaluate regional vulnerability in mainland China using the annual data of Chinese official statistics from 2006 to 2021. The proposed model includes five input variables: regional total population, per capita GDP, population density, GDP per square kilometer, and regional total fixed investment in water conservancy, environment, and public facilities management. Additionally, it incorporates two output variables: affected people and direct economic loss. The results indicate that the vulnerability level generally decreases from West China through Central China to East China. Based on the new classification method proposed in this study, the regions are divided into five areas. These findings can serve as a reference for policymakers in enhancing disaster planning and improving the efficiency of natural disaster prevention.

Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area A

Abstract At present, the construction and management efficiency of water conservancy projects is low, hydrological prediction errors are common, and the utilization rate of water resources is low. Based on this, this paper applies data mining technology and intelligent information technology to water conservancy project management. This will help to better study the construction and management of hydraulic projects. By adopting data mining technology, valuable data in hydraulic engineering can be extracted and analyzed. Through careful analysis and evaluation of the data, we can predict the runoff of reservoir hydrology in Area A. The experimental results show that the data mining technology can be used to predict the runoff of Reservoir A from January to December 2020. In addition, using machine learning techniques to make predictions, the prediction error rate varies by 6.2%. The research shows that the use of data mining technology can improve the efficiency of water conservancy project construction and management, and improve the utilization rate of the project.