1. Introduction
Global environmental change is a significant and urgent ecological problem facing humanity [
1,
2]. The biochemical process of nitrogen on the Earth’s surface and its environmental effects are significant in regional research on global change [
3]. Driven by natural and anthropogenic factors, soil nitrogen is one of the essential nutrients and pollution sources in agriculture, ecology, and environmental management [
4]. For example, nitrogen loss not only results in a decrease in soil fertility and land productivity [
5], but also causes eutrophication of water bodies, which can damage the ecological environment [
6]. Nitrogen in soil mainly exists in the form of organic nitrogen and inorganic nitrogen [
7]. The nitrogen crops use is mainly in the forms of ammonium nitrogen and nitrate-nitrogen [
8]. In recent decades, fertilization and tillage have greatly accelerated soil nitrogen loss in sloping farmland, directly reducing crop nitrogen uptake and reducing crop yield [
9]. In particular, global warming has led to extreme precipitation in Karst areas, resulting in severe soil erosion and increased rocky desertification [
10].
The southwestern Karst area centered in Guizhou Province, China, is a specific ecologically fragile area and is the most concentrated and strongly developed area of Karst landforms in the world [
11,
12]. Due to the unique topography and climate conditions in this area, the soil formation rate is slow, the rock exposure rate is high, the soil is shallow, the ground is discontinuous, and the soil erosion is severe, resulting in poor soil and low productivity of cultivated land in this area [
13]; on the other hand, due to the Karst formation process, the Karst area has formed a unique surface–underground “dual spatial structure” [
14]. In addition to surface soil erosion, underground Karst pipelines (shafts, water holes and underground holes (fissures), etc.) also lose soil and water [
15,
16], resulting in the loss of soil nitrogen to Karst aquifers [
17], which eventually leads to the contamination of groundwater sources in Karst areas [
18]. Global climate change causes frequent extreme rainfall events in Karst areas. Rainfall shows an increasing trend, and the damage index caused by extreme rain to soil and water loss of Karst slope farmland also indicates a growing trend [
19,
20]. Currently, many domestic and foreign research studies report on the influence of rainfall intensity on slope soil nutrient loss [
21,
22,
23,
24,
25,
26,
27], but the research on soil nitrogen loss on Karst slope farmland with unique surface–underground dual spatial structure is still blank.
Therefore, in this study, we used customized steel grooves to simulate the dual structure of Karst slopes. The effects of rainfall intensity and slope gradient on soil nitrogen loss were studied with simulated rainfall. The primary purposes of this study are as follows: (1) To explore the ammonium, nitrate, and total nitrogen in the soil of gentle slope farmland in Karst areas under extreme rainfall conditions and determine whether surface loss is greater than underground loss.(2) Use multiple regression analysis and correlation analysis to determine whether the nitrogen loss of Karst gentle slope farmland is related to rainfall intensity, slope angle, and rainfall duration. This study provides a new perspective on the response of nitrogen loss to extreme rainfall events in gentle slope farmland in the Karst area. It gives a scientific basis for preventing and controlling nitrogen loss due to extreme precipitation events.
2. Materials and Methods
2.1. Field Investigation and Monitoring Test
Huaxi District of Guizhou Province has the characteristics of a plateau monsoon humid climate: mild winters and summers, a long frost-free period, abundant rainfall, and high humidity. The average annual temperature is 14.9 °C, the average frost-free period is 246 days, and the annual rainfall is 1178.3 mm, mainly concentrated in May–October.
Our research group deployed 18 runoff plots (5 m × 1 m) and a set of meteorological monitoring systems on sloping farmland in the Dazhai small watershed, Huaxi District, Guizhou Province, China (
Figure 1). Farmers have used the sloping fields to plant corn, tomatoes, peppers, eggplants, or carrots for more than 20 years; the soil depth is about 30 cm downhill and 20 cm uphill. By monitoring the surface runoff during rain, we found that when the rainfall intensity is 30 mm/h, most of the water infiltrates the slope farmland soil, resulting in very little surface runoff; when the rainfall intensity is between 50 mm/h and 120 mm/h, surface runoff will occur due to the slope difference. The distribution of surface catchment in this area is uneven, and the difference between the upper and middle slopes is significant. The contrast of shallow Karst pores (fissures) may be one of the reasons for the difference in surface runoff. Based on the previous literature statistics, there are underground pores (cracks) in the Karst area, and the groundwater hydrological system in the study area is relatively developed [
16,
28,
29]. Therefore, in our experimental design, the fracture degree of underground pores was set to 5%. The preliminary analysis of the monitoring data in this area showed that erosion precipitation in 2021 was mainly distributed from August to October (
Figure 2). Under heavy rain, the runoff and sediment in the runoff plot are more serious. Field runoff monitoring provides a preliminary basis for subsequent experimental design.
2.2. Testing Material
2.2.1. Testing Equipment
Based on the monitoring data, field survey results, and literature review and analysis of the runoff plots of slope farmland in the study area, we simulated the dual structure of the Karst slope indoors. The experimental apparatus consisted of a variable slope steel trough and an artificial rainfall device (
Figure 3). The specifications of the variable slope steel groove were length × width × depth: 2 m × 1 m × 0.35 m, and 25 rectangular holes were drilled evenly at the bottom of the variable slope steel groove (length × width: 2 cm × 10 cm). In this setting, the UPD was 5%, and the slope can be adjusted anywhere from 0 to 25°. Plastic collecting troughs were set up at the surface the subsurface and underground to collect surface runoff, subsurface runoff, and underground runoff, respectively.
2.2.2. Test Soil
We collected soil from sloping farmland in a typical Karst area (106°40′19″ E, 26°21′11″ N) of the Dazhai small watershed, Huaxi District, Guiyang City, Guizhou Province, China. The soil in this area developed from carbonate rocks. The limestone soil developed from carbonate rocks is classified as glossisols in WRB. The soil average bulk density in this area is 135 kg/cm3. The average pH is 7.7; the average organic matter is 9.82 g/kg; the average total nitrogen is 0.55 g/kg; the average total phosphorus is 0.65 g/kg; the moderate total potassium is 25.14 g/kg; the average nitrate-nitrogen is 19.76 mg/kg. The average ammonium nitrogen is 9.70 mg/kg.
2.3. Experimental Design
The rainfall experiment was carried out in the rainfall hall of Guizhou University in Huaxi District, Guiyang City, Guizhou Province. This study considered bedrock exposure rate, UPD, slope, soil characteristics, rainfall intensity, and duration. First, the cracks in the underground pores of the steel tank were adjusted to make the pore area reach 5% of the pre-test design. To simulate the natural Karst slope investigated in the field more realistically, we randomly distributed three limestone blocks with a diameter of 50 cm along the steel trough, with an exposed diameter of 10.3 cm. We took pictures using a digital camera (Sony ZV-1, Tokyo, Japan), calculated limestone using ArcGIS 10.2 (Esri, Redlands, CA, USA), and adjusted bedrock exposure to 10%. According to the soil compaction data measured on-site, three layers of a 10 cm soil layer were filled in the steel tank, and the compaction degree of each layer was 1103 kPa, 410 kPa and 275 kPa from bottom to top. We used fingers to compress the sealed edges to reduce the effect of the boundary. Two slope angles were designed, 5° and 10°, respectively. The underground hole (fissure) gap was 5%; two rainfall intensities were designed: surface erosive rainfall intensity (60 mm/h) and extreme erosive rainfall intensity (90 mm/h). Each experiment was repeated three times.
First, the soil was saturated with light rain (30 mm/h) settling, and then the rainfall test was started with predetermined rainfall intensity. When the surface or underground runoff occurred for the first time, timing started, and runoff and sediment were collected at different periods. According to the statistics of rainfall duration in Huaxi District of Guizhou Province from January 2021 to December 2021, in most cases, the course of rainfall duration was uncertain. Sometimes, there was instantaneous extreme heavy rainfall, especially extreme rainfall duration can reach 1–3 h and sometimes last a day. We conducted a pre-experiment on each rainfall duration set by previous studies for 90 min and found that the runoff yield would begin to flatten when the rainfall reached 30–40 min. Therefore, we set the duration of each rainfall event to 60 min, with samples collected every 5 min and every 10 min after 30 min, measuring runoff with a measuring cylinder. Then, 500 mL of runoff was transferred to the laboratory with polyethylene bottles to determine the concentrations of total nitrogen, nitrate-nitrogen, and ammonium nitrogen in the runoff. We moved runoff and sediment to a 105 °C oven to dry the water and measure sediment mass. After each rainfall, we replaced all soil and refilled the steel trough. Then, we started the next rainfall test.
2.4. Measuring Nutrient Composition
To calculate physical and chemical indexes of water samples, total nitrogen (TN) in water was determined by potassium persulfate oxidation ultraviolet spectrophotometry, nitrate-nitrogen was determined by phenol sulfonic acid spectrophotometry (NO3−), ammonium nitrogen was determined by Nessler’s reagent spectrophotometry (NH4+), total phosphorus (TP) was determined by potassium persulfate oxidation-molybdenum antimony resistance colorimetry, and total potassium (TK) was determined by atomic absorption spectrometry. The test method steps mainly refer to the “Water and Wastewater Monitoring and Analysis Method” published by the Chinese Academy of Sciences (Beijing, China). The main instruments were automatic analyzers and TOC analysis instruments provided by the Forestry College of Guizhou University (Guizhou, China).
2.5. Test Method and Data Analysis
We used Excel 2003 (Microsoft, Redmond, WA, USA) and SPSS 20.0 statistical software (IBM, Armonk, NY, USA) for statistical analysis. One-way analysis of variance (ANOVA), multivariate analysis of variance, and standardized regression coefficient β were used to analyze the differences between treatments. The results were plotted using Origin 2021 (OriginLab, Northampton, MA, USA).
- (1)
Flow measurement (R)
Before the beginning of the experiment, a plastic bucket was placed at the outlets of surface runoff, soil middle flow, and underground runoff. After the experiment started, the surface, soil middle flow, and underground runoff for each period were measured every 5 min in the first 30 min. After 30 min, the surface, soil middle flow, and underground runoff of each period were measured every 10 min.
- (2)
Sediment measurement (M)
The amount of sediment on the surface and underground was measured by different methods according to the situation. When the amount of deposit was small, we removed the supernatant with a quantitative filter paper, filtered the sediment, and transferred it to a beaker. Then, the beaker was placed in an oven, and the residue was dried to a constant weight at 105 °C and weighed. For high sediment content, we removed the supernatant after the standing water samples. The residue was then transferred to a large aluminum box to dry until it reached constant weight. The interflow was a state of flow in the soil and was also in a tiny part of the sediment content in the pre-experimental stage, so sediment outflow was not considered.
- (3)
Total nitrogen loss (QTN)
where
RW is runoff, and
CTN is total nitrogen concentration;
- (4)
ammonium nitrogen loss ()
where
is ammonium nitrogen concentration;
- (5)
nitrate-nitrogen loss ().
where
is nitrate-nitrogen concentration.
5. Conclusions
Under the same slope condition of Karst slope farmland, compared with moderate rainfall, extreme rainfall increased surface runoff, subsurface runoff, and underground runoff. The increase in runoff significantly affects the amount of nitrogen loss. The loss of ammonium nitrogen under extreme rainfall conditions is considerably higher than that under moderate rainfall, and the loss of ammonium nitrogen is mainly from underground loss and surface loss. When the slope is 10°, it is primarily underground, and when the slope reaches 10°, it is mainly the loss of surface, and the of nitrate-nitrogen carried by runoff is the largest under extreme rainfall conditions. Compared with moderate rainfall, the total nitrogen loss taken by the runoff also increases; the TN loss carried by the underground runoff was the largest, followed by the subsurface, and the surface was the smallest. The relationship between the influencing factors of surface TN and ammonium nitrogen loss is slope angle> rainfall duration> rainfall intensity. Under erosive rainfall conditions, the main influencing factors of underground TN loss are slope and rainfall duration; underground ammonium nitrogen loss is mainly determined by rainfall intensity and rainfall duration, in which rainfall duration > rainfall intensity. The main determinants of nitrate-nitrogen loss from the surface, the subsurface, and underground of Karst slope farmland are slope angle > rainfall duration > rainfall intensity. So, we suggest that in controlling nitrogen loss, we can reduce the extreme rainfall erosion of the slope angle by changing the slope to a terrace and increasing the surface coverage. The main methods to control pollution of groundwater sources may be precise or efficient fertilization or cement plugging of underground holes (cracks).